Bremerhaven University of Applied Sciences
Logistics Engineering and Management
Study Course
Description of Modules
Inhalt
Inhalt ........................................................................................................................... 1
Title: Application of Mathematics in Logistics ............................................................. 3
Title: International Transport Systems ........................................................................ 5
Title: Economics ......................................................................................................... 7
Title: IT-Technologies ................................................................................................. 9
Title: Decision Support Systems ............................................................................... 11
Title: Packaging Management and Reverse Logistics .............................................. 13
Title: Electives 1 ....................................................................................................... 15
Title: Personnel Placement, Contracts of Employment (Electives 1) ........................ 16
Title: Technical Risks due to Hazardous Materials ................................................... 18
Title: International Law for Logisticians ..................................................................... 20
Title: Process and Cost Management ....................................................................... 22
Title: Simulation and Artificial Intelligence................................................................. 24
Title: Risk Management and Logistics Law............................................................... 26
Title: Production Planning and Quality Management ................................................ 28
Title: Electives 2 - Technology and Management ..................................................... 30
Title: Logistics Management ..................................................................................... 31
Title: Global Management......................................................................................... 33
Title: Project.............................................................................................................. 34
Title: Masterthesis .................................................................................................... 35
Title: Material flow techniques and Automation (Electives 2) .................................... 36
Title: Problems in international transport law (Electives 2) ....................................... 37
Title: Planning of Material Flow Systems (Electives 2) ............................................. 39
Title: Green Logistics (Electives 2) ........................................................................... 41
Title: Application of Mathematics in Logistics
Code number
Workload
11000
1
Credits
180 h
6
Semester
Frequency
1. Sem.
each winter
semester
Length
1 semester
Course
Contact time
Self-study
Group size
a) Statistics
4 SWS / 60 h
120 h
20 students
b) Operations Research
2
Learning outcomes / Objectives
The students will acquire competences to apply statistical methods to quality assurance and
quality management. They should gain knowledge and skills to analyse and predict logistic facts
and their interrelations and should be able to use estimation and testing methods in the field of
strategic planning.
In the course “Operations Research” the students will acquire essential knowledge for the
application of mathematical methods to optimize the logistics processes.
3
Course contents
a) Statistics
wo-dimensional frequency distribution
tock and time series analysis
rediction techniques
ndex numbers
imple estimation methods
²-, F- and T-distribution
ntroduction to sampling procedure
asics of the test theory
pecial testing methods
tatistical quality control
b) Operations Research
raph theory (basics)
inimal framework problem
hortest path problem
raveling salesman problem
ehicle routing problem
ransportation problem (heuristics)
ssignment problem (linear / nonlinear)
4
llocation problem
Teaching methods
Lectures
5
Prerequisites for course participation
Basics of mathematics, statistics and operations research, corresponding to the modules 1 and 8
of the Bachelor degree course Transport Engineering/Logistics
6
Type of examination
written examination
7
Requirements for allocation of Credit points
passed examination
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
4,7 %
10
Lecturer
11
Additional information
Language of teaching: German
Title: International Transport Systems
Code number
Workload
11100
1
180
Credits
6
Semester
Frequency
1. Sem.
each winter
semester
Length
1 semester
Course
Contact time
Self-study
Group size
a) International Modal
Transport Systems
4 SWS / 60 h
120 h
20 students
b) Planning of
International Transport
Systems
2
Learning outcomes / Objectives
The aim of the lectures is that students learn the systematic development and optimization of
logistics systems / networks. In particular, the variety of possible parameters that describe a
logistic system must be systematized. Methods of analysis and optimization under the particular
conditions should be learned. As part of the lectures the basis of combined transport will be
taught. An important part of combined transport, rail transport is considered in more detail.
Starting to learn from a systematic analysis of the transport situation, the students should learn to
regard the process of systematic analysis in terms of scientific applicability to evaluate transport
processes compared under various aspects. As part of the lecture International Modal Transport
System, the students learn to set up a business plan for a start-up company in this segment.
They will learn all aspects of this segment with real issues and corresponding methods. The aim
is that these students are later able to accomplish such projects on a higher level in industry.
3
Course contents
a) International Modal Transport Systems
vehicles and cargo handling technology in combined transport
European networks for the transport of freight by rail
Organization structure and service offerings of existing railways
Production and operating procedures in the international freight cargo
developing logistical system performances on the track
Planning a startup company in the field of combined transport
4
b) Planning of International Transport Systems
Theoretical Fundamentals of the logistics system
Basics of planning logistics systems
Development of logistics networks
suitability and applicability of methods and tools to optimize logistics networks
case studies (Optimization of networks)
Teaching methods
Lectures
5
Prerequisites for course participation
Bachelor (Logistics)
6
Type of examination
Written examination, oral presentation, project
7
Requirements for allocation of Credit points
passed exam, oral presentation, project
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
4,7 %
10
Lecturer
Prof. Dr. Carsten Dorn
11
Additional information
50 % would be teached in English
Literatur:
1. Diverse Fachliteratur
2. Dorn, Carsten: Vorlesungsumdruck „Planung logistischer Systeme“
3. Dorn, Carsten: Vorlesungsumdruck „International Modal Transport Systems“
4. Bretzke, Wolf-Rüdiger: Logistische Netzwerke
5. Huub Vrenken, Cathy Macharis, Peter Wolters, Intermodal Transport in Europe
6. Florian, Waibel, Geschäftsmodelle privater Güterbahnen
7. CER, Competition in Europe´s rail freight market
Title: Economics
Code number
Workload
11200
1
180 h
Credits
6
Semester
Frequency
1. Sem.
each winter
semester
Length
1 semester
Course
Contact time
Self-study
Group size
a) Transport Economics
4 SWS / 60 h
120 h
20 students
b) Sourcing
2
Learning outcomes / Objectives
The module deepens the knowledge of economics acquired in the module “Macroeconomics” in
the Bachelor degree course Transport Engineering/Logistics and presents transport economics
theories. The teaching languages of the course “Transport Economics” are English (70 %) and
German (30 %).
Moreover the students will become acquainted with different sourcing strategies – global
sourcing, modular sourcing, just-in-time-sourcing and process sourcing etc. – the sourcing will be
here interpreted exclusively as process-oriented concept. During the course the students will
learn about theory-based practical solutions rather than day-to-day sourcing operations. They
should understand that sourcing will than succeed in influencing exchange processes, if they
search together for international solutions.
3
Course contents
a) Transport Economics
Production, growth and trade
Markets in action
Markets and governments
Global economy
The theory of transport economics
Transport market dynamics
Costing and pricing policies
Integrated transport policy
The third world
b) Sourcing
Analysis of sourcing strategies, goals, instruments and control
Process sourcing
Internal sourcing, outsourcing
Global sourcing
Local sourcing
Single sourcing
Multiple sourcing
Collaborative sourcing
Reverse sourcing
Modular sourcing
System sourcing
4
Teaching methods
Lectures, Group Work
5
Prerequisites for course participation
Modules: Macroeconomics, Traffic Management of the Bachelor degree course Transport
Engineering/Logistics
6
Type of examination
Presentation, essay
7
Requirements for allocation of Credit points
Presentation, essay
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
4,7 %
10
Lecturer
Prof. Dr. Jochem Piontek
11
Additional information
Language of teaching: English
Title: IT-Technologies
Code number
Workload
11300
1
180
Credits
6
Semester
Frequency
1. Sem.
each winter
semester
Length
1 semester
Course
Contact time
Self-study
Group size
a) IT-Technologies,
Readings and Lab
4 SWS / 60 h
120 h
20 students
b) Workflowmanagement,
Readings and Lab
2
Learning outcomes / Objectives
Workflow Management looks into structure and formalization of operational procedures. The goal
is to decide if certain work steps can be moved to computers or have to be done by humans.
Individual work steps and processes will be analyzed and classified regarding to possible
formalization and automation. Limits and possibilities of automation will be examined. The
students will do an analysis of a workflow which in turn is used as a basis for a demonstrator
implementation in the IT Technologies course.
Within the IT Technologies course students build a demonstrator based on a client/server
architecture for a multi user data base system. Emphasis is a transaction concepts and
interaction between workflow requirements and ways to implement these in the system.
3
Course contents
a) IT-Technologies
Client/Server architectures for relational data base systems
Implementation using MSSqlServer, MSAccess2010 and Visual Basic
XML, EDI as a common framework for data exchange
4
b) Workflowmanagement
Structure and characteristics of workflow steps. Formalized versus non formalized steps
Structure and characteristics of workflow results.
Relation between workflow steps and results
Formal analysis using structured analysis and EPK
Teaching methods
Lectures, Laboratories
5
Prerequisites for course participation
Module Principles of Information Technology in Logistics (bachelor course)
Module Algorithms and Data Structures (bachelor course)
Module Software Development (bachelor course)
6
Type of examination
written exam, Presentation, Student project, 2 separate exams
7
Requirements for allocation of Credit points
passed exam, Presentation, Student project, 2 separate exams
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
4,7 %
10
Lecturer
Prof. Dr.-Ing. Walter Fedderwitz
11
Additional information
Language of teaching: English
Literature:
a) IT-Technologies
1. Tim Weitzel, Thomas Harder, Peter Buxmann, Electronic Business and EDI mit XML, Dpunkt
Verlag, 2001
b) Workflowmanagement
1. Jablonski,Böhm,Schulze (Hrsg.): Workflow-Management Dpunkt.verlag, Heidelberg. 1997
2. Herrmann,Scheer,Weber (Hrsg.): Verbesserung von Geschäftsprozessen Mit flexiblen
Workflow-Management-Systemen Physica-Verlag, (Springer), 1998
3. M.Vetter: Strategie der Anwendungssoftware-Entwicklung Teubner, Stuttgart, 1990
4. Jörg Raasch: Systementwicklung mit Strukturierten Methoden Hanser Verlag, München,
Wien, 1993
Title: Decision Support Systems
Code number
Workload
11400
1
180
Credits
6
Semester
Frequency
1. Sem.
each winter
semester
Length
1 semester
Course
Contact time
Self-study
Group size
a) Project management
4 SWS / 60 h
120 h
20 students
b) Decision Support
Methods
2
Learning outcomes / Objectives
In the course “Project Management” the students will gain basic knowledge of project planning,
project management and project control. They will learn methods for developing an appropriate
project structure and monitoring project progress (performance), deadlines and costs. Knowledge
acquired in the course enables students to design management structures, to motivate and lead
a team, to define project documentation framework and to control its compliance.
In the course “Decision Support Methods” the students will become familiar with methods of
decision support systems. They will learn to evaluate which logistics problems can be solved with
the help of these systems. The students should be able to formulate upcoming problems
mathematically, apply proper software tools and present achieved results effectively to decisionmakers. Moreover, the course presents exemplary decision support systems.
3
Course contents
a) Project management
Basic techniques and methods of project management (network design - critical path
method, allocation of resources)
Time, cost and capacity planning
Project organisation and implementation
Project planning
Project team, project leader
Project documentation
Introduction to MS-Project
4
b) Decision Support Methods
Principles – complexity of decision making
Structure of decision problem
Decision making under various information about environment
Decision making with one goal and upon certainty
Decision making with many goals and upon certainty
Decision trees
Group decisions
Simulation tools for strategic decision making
Teaching methods
Readings, Laboratories
5
Prerequisites for course participation
Principles of Information Technology in Logistics (bachelor course)
6
Type of examination
Presentation, Student project
7
Requirements for allocation of Credit points
Presentation, Student project
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
4,7 %
10
Lecturer
Prof. Dr.habil. Waldemar Czuchra.
11
Additional information
Language of teaching: German
Literature:
a) Project management
1. B. Klose: Student projectabwicklung, Ueberreuter, 1996
2. Heinz Schelle: Student projecte zum Erfolg führen. Student projectmanagement
systematisch and kompakt, DTV-Beck, 2001
3. H.-D. Litke, Ilonka Kunow: Student projectmanagement, Haufe Verlag, 2001
4. Renke Holert, Steffen Reister: Microsoft Office Project 2003, m. CD-ROM Microsoft Press
Deutschland, März 2004
b) Decision Support Methods
1. George M. Marakas: Decision Support Systems and Megaputer with CDROM Prentice Hall
2002
2. Hamparsum Bozdogan: Statistical Data Mining & Knowledge Discovery Chapman &
Hall/CRC, 2003
3. J.A. Lawrence, B. A. Pasternack: Applied Management Science, J. Wiley & Sons, 1998
4. Franz Eisenführ, Martin Weber: Rationales Entscheiden, Springer, 2003
Title: Packaging Management and Reverse Logistics
Code number
Workload
21000
1
180
Credits
6
Semester
Frequency
2.-3. Sem.
winter semester,
summer semester
Length
2 semester
Course
Contact time
Self-study
Group size
a) Packaging
Management, lecture
and lab (each 1 SWS, 2
semester)
4 SWS / 60 h
120 h
20 students
b) Reverse Logistics,
lecture (2 SWS, 3
semester)
2
Learning outcomes / Objectives
The course “Packaging Management” enables the students to design adequate transport
packages tailored to meet functional, economic and environmental requirements. The students
are capable of designing and evaluating alternative packagings after careful and comprehensive
consideration, regarding the needs of product, storage, transportation, handling and recycling
after use. In the course “Reverse Logistics” the students will gain basic knowledge in backward
material flow and waste management. They will become familiar with technologies,
organizational measures and legal regulations in order to build up reverse logistics processes (=>
reduced consumption of limited resources and less environmental impact). In both courses of the
module, case studies emphasize the practical aspects of the topics. An additional requirement of
the course “Packaging Management” is proof of successfully completed laboratory work
(experiments and laboratory reports). In course “Reverse Logistics” students are requested to
take care about a specific topic and give a presentation, which will enhance their linguistic,
presentation and self-organising skills as well as their knowledge in reverse logistics.
3
Course contents
a) Content Packaging Management
Terms and definitions, facts and figures about packaging manufacturing and
consumption
Transport packages for packaged goods, bulk goods and liquids
Requirements for functional, efficient and environmental friendly implementation of
transport packages
Packaging planning as a multi criteria decision making process
Computer-based packaging design
Selection and design of various packages, means for load securing and cargo care
Preshipment testing and data evaluation
Life cycle of packages – collection, reusing and recycling
b) Content Reverse Logistics
Terms and definition
Reasons and aims of backward material flows
Legal regulations
Waste arising and content
4
Waste collection, vehicles, container, transfer station
Avoidance, recovery, recycling, treatment and disposal
Reusable transport packages – forms, system operator
Advanced technologies in closed loop cycling systems
3rd and 4th Party Reverse Logistics Services
Reverse Logistics Software
Case studies – waste cycles and cycles of recyclable materials
Teaching methods
Lecture, Laboratories
5
Prerequisites for course participation
Basic knowledge in Logistics and Packaging Technology
6
Type of examination
Written examination, presentation
7
Requirements for allocation of Credit points
Passed examination, presentation, completed laboratory work
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
4,7 %
10
Lecturer
Prof. Dr. Dieter Heimann
11
Additional information
Language of teaching: English
Literature:
1.
Blumberg, D.F.: Reverse Logistics and Closed Loop Supply Chain Processes, CRC Press,
Boca Raton, 2005
2. Dyckhoff, H.; Lackes, R.; Reese, J.: Supply Chain Management and Reverse Logistics,
Springer-Verlag, Heidelberg, 2004
3. Dekker, R.; Fleischmann, M.; Inderfurth, K.; Wassenhove, L.: Reverse Logistics, SpringerVerlag, Heidelberg, 2004
4. Rationalisierungs-Gemeinschaft Verpackung (Hrsg.): RGV-Handbuch Verpackung:
Expertenwissen für die Praxis, - Berlin, Erich Schmidt Verlag, 1999
5. Fraunhofer Gesellschaft e.V. (Hrsg.): Verpackungstechnik – Mittel und Methoden zur Lösung
der Verpackungsaufgabe, - Heidelberg, Hüthig-Verlag, 2004
6. Cord-Landwehr, Klaus: Einführung in die Abfallwirtschaft, 3. Auflage, - Stuttgart,
Teubner Verlag, 2002
Title: Electives 1
Code number
Workload
21100
1
150
Credits
5
Semester
Frequency
2.-3. Sem.
winter semester,
summer semester
Contact time
Self-study
Group size
a) Personnel Placement,
Contracts of
Employment
4 SWS / 60 h
90 h
20 students
Learning outcomes / Objectives
Depending on the course
3
Course contents
Depending on the course
4
Teaching methods
Lectures
5
Prerequisites for course participation
/
6
Type of examination
Essay, oral examination, study project, presentation
7
Requirements for allocation of Credit points
passed essay, oral examination, study project, presentation
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
3,9 %
10
Lecturer
Prof. Dr. Thomas Wieske
11
2 semester
Course
b) Studium Generale
2
Length
Additional information
Language of teaching: German/English
Title: Personnel Placement, Contracts of Employment (Electives
1)
Code number
Workload
21110
1
2
75
Credits
2,5
Semester
Frequency
3. Sem.
each winter
semester
Length
1 semester
Course
Contact time
Self-study
Group size
a) Personnel Placement,
Contracts of
Employment
2 SWS / 30 h
45 h
20 students
Learning outcomes / Objectives
The course mediates basic knowledge to contracts of employment and enables to use these. The
students will have large relating to contracts of employment later, for example in situations of job
applications, closures of their own contracts, as well as leaders with human resource
responsibilities. They will learn that projects as well can lead to personnel employment law
consequences for a third party. The students will learn as well to react wisely in practical
situations and to use their knowledge to avoid mistakes.
3
Course contents
1. Introduction, talks about the outlines and the presentation
2. employment law/ Differences of the contract of employment/personnel servive contract
3. What is part of the contract of employment?
- rights and responsibilities of employees
- rights and responsibilities of Ltd employees
- rights and responsibilities of business leaders
4. strategies in contract negotiations
5. strategies of human resource developments in logistics companies
6. data protection & employment law
7. application training with companies and master students
8. Compliance: Whom I have to show more loyalty- your company or your country?
(Compliance in German companies, Compliance in US companies)
9. summary/ closure with practitioner
4
Teaching methods
Lectures
5
Prerequisites for course participation
6
Type of examination
Essay, oral examination, study project, presentation
7
Requirements for allocation of Credit points
passed essay, oral examination, study project, presentation
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
2,0 %
10
Lecturer
Prof. Dr. Wieske
11
Additional information
Language of teaching: German/English
Literature:
1.
Gesetzestexte: BGB, Wichtige Arbeitsgesetze, NWB-Textausgabe; Arbeitsrecht C.H Beck .
2. Teschke-Bährle, Arbeitsrecht –schnell erfasst, Berlin 2006, ISBN 3-540-32541-7; 6.Aufl.
3. Etzel/Griebeling/Liebscher, Arbeitsrecht, 9. Aufl., nwb-Verlag;
4. Ergänzende Ausführungen im Download, www.ilrm.de, Arbeitsrecht
Title: Technical Risks due to Hazardous Materials
Code number
Workload
21200
1
2
180
Credits
6
Semester
Frequency
2.-3. Sem.
winter semester,
summer semester
Length
2 semester
Course
Contact time
Self-study
Group size
a) Technical Risks due to
Hazardous Materials
4 SWS / 60 h
120 h
20 students
Learning outcomes / Objectives
The students are able to analyse a company with main focus on hazardous materials and goods
logistics on the physical-chemical-toxic risks. Based on potential events they can transfer
following cascade events. As well they can evaluate with help from a simulation program
following failures and estimate event risks. Based on a risk philosophy they self-developed they
can make qualitative a ranking of risks and can proof them on consistency.
The students can develop safety management systems for company areas. They are able to
develop on the base of risk analysis risk prevention and to integrate them into a safety
management system. The students know the parallels of Safety and Quality management
systems.
As well as knowledge the students will get a special knowledge over risk analysis, risk and safety
management. The existing technics to work academic will be developed, to abstract, the ability to
judge, logical and analytical thinking.
During analysing and evaluating complex events the competence to identify links and
backgrounds. There is a strong appeal to think in networks, because possible damage causes
are multidisplinary. Unknown circumstances as well as theory will be included in the work. As the
project work is going over two semesters, social competences like leading and team work as well
as self-organisation is developed.
3
Course contents
Hazardous materials and goods can damage people, objects and the environment heavily. The
students should identify in their project groups technical risks by using hazardous materials and
goods and rate them (Part I). Following they develop a risk management to integrate preventions,
limit damage and fighting in coordination with the company (Part II).
Part I
normal operations in the hazardous materials and goods logistic
risk identification: Differences from the normal operation
damage scenario
quality and quantity risk analysis as well as risk evaluation and prioritize
Part II
After a general instruction to safety management systems every project group will develop for a
specific (group orientated) company a safety management system with the following questions:
detection of required arrangements to assure the normal operation
arrangements to minimize the risks (prevention, damage limiting and fighting) based on
Part I
risk communication
emergency plan
safe operations of changes
testing of the safety management systems through a operation in the normal operation
testing of the safety management systems through observing an accident
4
Teaching methods
project
5
Prerequisites for course participation
contentwise: successful attendance in
recommended
6
Physical-chemical Safety Engineering I and II is
Type of examination
oral examination, study project, presentation
7
Requirements for allocation of Credit points
passed examination, study project, presentation
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
4,7 %
10
Lecturer
11
Additional information
Language of teaching: German/English
Title: International Law for Logisticians
Code number
Workload
21300
1
150
Credits
5
Semester
Frequency
2. Sem.
each summer
semester
Length
1 semester
Course
Contact time
Self-study
Group size
a) English for Logisticians
4 SWS / 60 h
90 h
20 students
b) Law for Logisticians
2
Learning outcomes / Objectives
The module is directed to students of the logistics course with profound knowledge of English,
corresponding to at least level B2 of the Common European Framework of Reference for
Languages, with solid knowledge of logistics and basics of business law, transport law and
insurance law.
The module aims at the application of logistics knowledge in practice with regard to economic
issues in international law and dealing with contractual matters in English. The main focus of the
module is put on the ability to negotiate in English.
3
Course contents
a) English for Logisticians
The students will develop their communication skills, particularly in international contexts and
improve their presentation techniques with the preparation of business and marketing plans
and/or the analysis of legal frameworks in international contexts. In discussions, the
negotiation competences will be practiced. With online role plays students will be able to
improve their business correspondence skills in English. The subjects covered in the role
plays are based on human resource management, Technical English, Business English and
international law.
b) Law for Logisticians
The students will develop their communication skills and presentation techniques in
international contexts. The first part of the course introduces students to international
conventions (CMR; MÜ; CIM(99); Hague-Visby Rules, Maritime Law). In the second part,
students will develop their negotiating abilities in economic and legal contexts.
4
Teaching methods
Exercises
5
Prerequisites for course participation
B.A. or its equivalent with proof of performance in law
6
Type of examination
written examination, presentation, essay
7
Requirements for allocation of Credit points
passed examination, presentation, essay
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
3,9 %
10
Lecturer
Dr. phil. Edmund Voges
Prof. Dr. Thomas Wieske
11
Additional information
Language of teaching: German/English
Title: Process and Cost Management
Code number
21400
1
Workload
150 h
Credits
5
Semester
Frequency
2. Sem.
each summer
semester
Length
1 semester
Course
Contact time
Self-study
Group size
a) Supply Chain
Management
4 SWS / 60 h
90 h
20 students
b) Logistics Controlling
2
Learning outcomes / Objectives
The module explains how to plan, organize, manage and control the whole supply chain. The
students will learn how to organize the cross-company cooperation between suppliers,
producers, distributors, dealers and consumers. The main focus of the module is placed on the
importance of the network design and supply chain collaboration with its wide range of
possibilities for cost reduction. The students will recognize that the focus of logistics has changed
– from the function optimization to the process chain optimization, i.e. to cross-company
integration of networks.
The students will learn that in the Internet era the limiting factor is no longer the production or
assembly facility, but the information and customer relationship management. The special
emphasis is placed therefore on knowledge, learning and reliance on performance processes
and project experience. The students should understand that the companies no longer compete
with one another – the logistics networks are the ones that compete. Moreover, the module
introduces the key elements of logistics controlling and controlling instruments that make it
possible to organize networks in an effective way. Students will also learn how to apply
controlling tools in logistics practice.
3
Course contents
a) Supply Chain Management
The course presents cross-company possibilities of supply chain and process chain
optimization.
Goals of supply chain management
Driving factors of supply chain management
Collaborative planning, forecasting and replenishment (CPFR)
Continuous replenishment
Vendor managed inventory
Inventory collaboration
Order collaboration
Transport collaboration
Capacity collaboration
Advanced planning and scheduling (APS)
Different supply chain designs
b) Logistics Controlling
The course shows the possibilities of holistic planning, coordination and control of a supply
chain as well as cost reduction possibilities.
4
Supply chain controlling
Supply collaboration costing
Simultaneous costing
Target costing
Process costing
Teaching methods
Lectures
5
Prerequisites for course participation
Module Logistics Management of the Bachelor degree course Transport Engineering/Logistics
6
Type of examination
presentation, essay
7
Requirements for allocation of Credit points
presentation, essay
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
3,9 %
10
Lecturer
Prof. Jochem Piontek
11
Additional information
Language of teaching: English
Title: Simulation and Artificial Intelligence
Code number
Workload
21500
1
180
Credits
Semester
Frequency
2. Sem.
each summer
semester
6
Length
1 semester
Course
Contact time
Self-study
Group size
a) Simulation and
Optimization of
Operational Procedures
4 SWS / 60 h
120 h
20 students
b) Data Mining
2
Learning outcomes / Objectives
On the basis of practical examples from the field of transport and in-house material flow, the
students will become familiar with design, process and application of simulation systems. They
will use simulation systems for planning and optimizing business processes – material flow,
warehouse organization, transport fleet and resource planning (personnel planning). From a
methodological perspective the processes described are interactive, mostly stochastic processes
with waiting times, processing times and breakdowns. Statistical methods will be used to assess
and judge the results of simulation runs.
The course “Data Mining” provides students with processes, methods and techniques of data
mining and enables them to search for information in huge amount of data in day-to-day
situations. The term information is interpreted here as universally valid, not trivial, new, useful
and understandable patterns und rules.
3
Course contents
a) Simulation and Optimization of Operational Procedures
Overview of essential mathematical foundations with emphasis on stochastic
Introduction to a simulation tool (emPlant) – performing simulation and optimization tasks
using modern simulation tools
Relation between simulation experiments, theoretical calculations and stochastic
modeling
Carrying out, evaluating and optimizing hands-on simulation project
Statistics and stochastic processes in simulation of operational procedures
4
b) Data Mining
Introduction to Data Mining (data preparation, rule identification)
Data Mining problems (classification, estimation, prediction, clustering, affinity analysis)
Techniques of data mining, decision trees, neural nets networks
Introduction to Data Mining tool
Teaching methods
Readings, Laboratories
5
Prerequisites for course participation
Module Basic Informatics (bachelor course)
Module Algorithms Data Structures and Programming (bachelor course)
Module Software Development (bachelor course)
Module Mathematics (bachelor course)
6
Type of examination
written exam, Student project, 2 separate exams
7
Requirements for allocation of Credit points
passed exam, Student project, 2 separate exams
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
4,7 %
10
Lecturer
Prof. Dr.-Ing. Walter Fedderwitz
Prof. Dr. habil. Waldemar Czuchra
11
Additional information
Language of teaching: English
Literature:
a) Simulation and Optimization of Operational Procedures
1. Skripts of mathematics module (Bachelorstudiengang)
2. J. Kohlas: Stochastische Methoden des Operations Research, Teubner, 1977
3. Bronstein, Semendjajew, Musiol, Mühlig: Taschenbuch der Mathematik, Verlag Harry
Deutsch, Thun and Frankfurt am Main, 2000, 5. Auflage
4. Fisz: Wahrscheinlichkeitsrechnung and mathematische Statistik, VEB Verlag der
Wissenschaften, Berlin, 1970
5. Eduard Pestel: Technische Mechanik, BI, 1969
6. Richard Becker: Vorstufe zur Theoretischen Physik, Springer, 1972
7. S. Großmann: Mathematischer Einführungskurs in die Physik, Teubner, 1984
8. Gerhard Hübner: Stochastik, Vieweg Verlag, 1996
9. U. Kiencke: Ereignisdiskrete Systeme, Oldenbourg, 1998
10. M.R. Schroeder: Number Theory in Science and Communication, Springer Verlag, 2nd. ed.
1986
11. Press, Teukolsky, Vetterling, Flannery: Numerical Recipes in C, Cambridge University Press,
2nd ed, 1992
12. Stephen Wolfram: Mathematica, 4th ed, Wolfram Research Inc, (This is not a book but an
CAS System)
13. eth
Eidgenössische
Technische
Hochschule
Zürich:
[http://www.aoa.ethz.ch/eth-intern/00-01/12_00-01/Mond_12_00-01.html]
14. W.H. Press, S.A. Teutowsky, W.T.Vettering, B.R.Flannery: Numerical Recipes in c
Cambridge University Press, 1992, Second Edittion
b)
1.
2.
3.
Data Mining
OnLine Help PASW Modeler v. 14 – SPSS Inc., 2010
M.J.A. Berry, G. Linoff – Data Mining Techniques, John Wiley & Sons, Inc. 1997
Ian H. Witten, Eibe Frank: Data Mining, Hanser Verlag, 2001
Title: Risk Management and Logistics Law
Code number
Workload
21600
1
180
Credits
6
Semester
Frequency
2.-3. Sem.
winter semester,
summer semester
Length
2 semester
Course
Contact time
Self-study
Group size
a) Risk Management
4 SWS / 60 h
120 h
20 students
b) Logistics-Contracts
2
Learning outcomes / Objectives
The students will gain an overview of risk management in modern enterprises, particularly in
logistics companies.
The potential risks will be discussed under legal, economic and environmental aspects, and
according to privacy and consumer protection issues. With the help of exercises and practical
examples the students will determine and estimate risks, and develop risk prevention and
minimization strategies.
The exercises and part of lectures, particularly the international aspects, will take place in
English.
3
Course contents
The meaning of risk management
Aspects of modern risk management
Risk management strategies under economic aspects
Problems of risk management - privacy and consumer protection issues
Prospects of modern risk management to increase sales
Risk management and bankruptcy
Aspects of international risk management
Risk management and international air transportation
Risk management and international sea transportation
Legal defense strategies
Analyses of risks and strategies to minimize this risks
To learn to cover risks by contracts and by insurances
Drafting different kind of contracts regarding the risks.
4
Teaching methods
Lectures
5
Prerequisites for course participation
Bachelor’s degree with courses in business law, logistics law, basics of transport and insurance
law and the course Law for Logisticians
6
Type of examination
essay, presentation
7
Requirements for allocation of Credit points
essay, presentation
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
4,7 %
10
Lecturer
Prof. Dr. Thomas Wieske
11
Additional information
Language of teaching: German/English
Literature:
1. Riley, Alison, English for Law
2. Wieske, Vorlesungsskript
3. Wieske, Logistikrecht, 2005, Springer Verlag.
Title: Production Planning and Quality Management
Code number
Workload
31000
1
180
Credits
6
Semester
Frequency
3. Sem.
winter semester
Length
1 semester
Course
Contact time
Self-study
Group size
a) Production Planning
4 SWS / 60 h
120 h
20 students
b) Total Quality
Management
2
Learning outcomes / Objectives
The subject matters of TQM are changing continuously in the view of practical and theoretical
approaches. In the course “Total Quality Management” the students will become acquainted with
the modern methods of quality assurance and quality management. Nowadays, these methods
are applied in almost every well-established company worldwide.
The aim of the lecture and laboratory course “Production Planning” is to enable students to
understand the principles of the whole supply chain, using SAP software as a tool for it.
Laboratory classes provide comprehensive training in SAP applications and give students the
opportunity to work on projects and present solutions to selected logistics problems in the field of
production planning and control using SAP products, primarily the modules PP (Production
Planning), MM (Material Management), LO (Logistics) and SD (Sales & Distribution).
3
Course contents
a) Production Planning
Supply Chain Management in SAP
Kanban in SAP
SAP Road Map (SAP introduction strategy)
SAP-branch solutions
Supply Chain Management in SAP
Presenting complex company models
R/3 reference model
Business Engineering: customizing/process model; workbench
4
b) Total Quality Management
Total Quality Management (TQM)
Deming cycle (Plan-Do-Check-Act)
DIN ISO 9000-9004
Poka Yoke
Ishikawa diagram
Kaizen
FMEA (Failure Mode and Effect Analysis
Quality Function Deployment (QFD)
Statistical Process Control (SPC)
5S-Method
8-D Problem Solving
Teaching methods
Lectures, Laboratories
5
Prerequisites for course participation
Total Quality Management: statistics
Production Planning - Laboratory: basics of SAP
6
Type of examination
written examination, study project
7
Requirements for allocation of Credit points
passed examination, study project
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
4,7 %
10
Lecturer
Prof. Dr. Ernst-Jürgen Ribbert
11
Additional information
Language of Lecture TQM – English, Production Planning - German
Title: Electives 2 - Technology and Management
Code number
Workload
31100
1
Credits
120
4
Semester
Frequency
3. Sem.
each winter
semester
Contact time
Self-study
Group size
a) Materials Handling
Engineering and
Automation
30 SWS / 2 h
90 h
10 students
c) Material Flow
d) Green Logistics
Learning outcomes / Objectives
Depending on the course
3
Course contents
Depending on the course
4
Teaching methods
Depending on the course
5
Prerequisites for course participation
Depending on the course
6
Type of examination
Written examination, essay, study project, presentation
7
Requirements for allocation of Credit points
passed examination, essay, study project, presentation
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
3,2 %
10
Lecturer
Prof. Dr. Friedhelm Wesselmann
Prof. Dr. Thomas Wieske
Prof. Dr. Ernst-Jürgen Ribbert
11
1 semester
Course
b) Problems in international
transport law
2
Length
Additional information
Title: Logistics Management
Code number
Workload
31200
1
150
Credits
5
Semester
Frequency
2.-3. Sem.
winter semester,
summer semester
Length
2 semester
Course
Contact time
Self-study
Group size
a) Strategic Logistics
Management
4 SWS / 60 h
90 h
20 students
b) Global Operations
Management
2
Learning outcomes / Objectives
Based on the module “Logistics Management” of the Bachelor degree course Transport
Engineering/Logistics, the module covers strategic processes and global trends in logistics and
reviews the functions of strategic planning, scheduling and controlling in logistics. With the help
of case studies the students will learn to evaluate methods and instruments of strategic decision
making.
The students will become familiar with logistics management in a context of logistics function and
the factor of success. They will become acquainted with possibilities of operative and strategic
logistics planning with regard to business and cooperation strategies, as well as model-driven
decision support systems in logistics.
The principal focus of the module is logistics in a global context and practice oriented application
of knowledge.
3
Course contents
Development in international trade and transport
Global trends in logistics
Decision strategies in logistics
The global marketplace – uncontrollable and controllable elements
Strategic logistics planning and tools
Evaluation and selection of target markets
Strategic controlling in logistics
4
Teaching methods
Lectures
5
Prerequisites for course participation
Module Logistics Management of the Bachelor degree course Transport Engineering/Logistics
6
Type of examination
Essay, presentation
7
Requirements for allocation of Credit points
passed essay, presentation
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
3,9 %
10
Lecturer
Prof. Dr. Jochem Piontek
11
Additional information
Language of teaching: English
Title: Global Management
Code number
Workload
31300
1
Credits
180
6
Semester
Frequency
3. Sem.
each winter
semester
Length
1 semester
Course
Contact time
Self-study
Group size
a) Business Management
4 SWS / 60 h
120 h
20 students
b) Organizational Theory
2
Learning outcomes / Objectives
The module covers methods of business management and organisation of global enterprises.
Furthermore, recent trends in the subject will be critically discussed.
3
Course contents
Theory of multinational enterprises
Identity-oriented intercultural human resources management
Result oriented management of multinational enterprises
International cooperation’s and joint ventures
Behavior of staff
Negotiation skills
Performance behavior and appraisal
Executive development
Corporate downsizing
4
Teaching methods
Lectures
5
Prerequisites for course participation
/
6
Type of examination
Essay, presentation
7
Requirements for allocation of Credit points
passed essay, presentation
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
4,7 %
10
Lecturer
Prof. Dr. Jochem Piontek
11
Additional information
Language of teaching: German
Title: Project
Code number
Workload
41000
1
2
150
Credits
5
Semester
Frequency
4. Sem.
Summer semester
Length
1 Semester
Course
Contact time
Self-study
Group size
a) Project for Master Thesis
2 SWS / 30 h
120 h
20 students
Learning outcomes / Objectives
The project has special significance for the exchange of views and experiences between students,
as now most of them have to achieve their respective goal as an individual.
The students get the opportunity to discuss their findings with their classmates in order to verify
the accuracy of their results and increasing the quality of the presentation of scientific papers.
3
Course contents
The knowledge gained from the teachers varies depending on the subject matter of the work.
Focus will be problem-solving strategies and applied project management
4
Teaching methods
Project
5
Prerequisites for course participation
at least 80 CP must be acquired by registration of the Master's thesis
6
Type of examination
Project
7
Requirements for allocation of Credit points
Project
8
Application of the module (other courses of studies)
9
Percentage of overall final grade
5,0 %
10
Lecturer
All lecturer
11
Additional information
Language of teaching: German/English
Title: Masterthesis
Code number
Workload
49000
1
2
750 h
Credits
25
Semester
Frequency
4 Sem.
summer semester
Course
Contact time
Self-study
a) Master Thesis
0 SWS / 0 h
750 h
Length
1 semester
Group size
Learning outcomes / Objectives
The master thesis is there to give students the opportunity to independently work on a scientific
problem, to develop their own solutions and to publish.
3
Course contents
The contents are based on the needs of businesses and up-to-date logistics scientific problems.
4
Teaching methods
5
Prerequisites for course participation
at least 80 CP must be acquired by registration of the Master's thesis
6
Type of examination
Colloquium, Thesis
7
Requirements for allocation of Credit points
Submission of the thesis, passed Colloquium
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
20 %
10
Lecturer
All teachers
11
Additional information
Language of teaching: German/English
Title: Material flow techniques and Automation (Electives 2)
Code number
Workload
31110
1
60
Credits
2
Semester
Frequency
3. Sem.
each winter
semester
Contact time
Self-study
Group size
a) Material flow techniques
and Automation
2 SWS / 30 h
30 h
10 students
Learning outcomes / Objectives
3
Course contents
4
Teaching methods
Lectures, Laboratories
Prerequisites for course participation
Written examination, homework, study project
6
Type of examination
Written examination, homework, study project
7
Requirements for allocation of Credit points
passed
8
Application of the module (other courses of studies)
/
9
1 semester
Course
2
5
Length
Percentage of overall final grade
1,6 %
10
Lecturer
11
Additional information
Language of teaching: German/English
Title: Problems in international transport law (Electives 2)
Code number
Workload
311020
1
Credits
60
2
Semester
Frequency
3. Sem.
each winter
semester
Length
1 semester
Course
Contact time
Self-study
Group size
a) Problems in international
transport laws
2 SWS / 30 h
30 h
10 students
2
Learning outcomes / Objectives
3
Course contents
4
What do we expect? Introduction to different legal systems
Introduction to int. transport laws
Transport law, duties, rights & responsibilities of the sender
German transport law – rights & duties of the carrier, consignee and formalities as an example
International transportation – introduction & UCP 500
International transportation – land transportation according to the CMR
International transportation – rail transportation according to the CIM(1999).
International transportation – Air transportation according to the Warsaw & Montreal Convention.
International sea transportation (Hague Visby Rules, BL; Hamburg Rules and the model
Rotterdam Rules)
Laws and regulations with respect to “new dangers” in int. transportation: sea + air
Safety and security in transport by means and regulations
Comparison of different transport law system: e.g. Anglo-Saxon transport law; Chinese transport
law; Islamic transport law;
Presentation of different transport law systems
What does logistics law mean?
Standard Conditions for Logistics in different countries (e.g. Germany, Austria, Switzerland,
Belgium, the Netherlands and UK)
Teaching methods
Seminar
5
Prerequisites for course participation
/
6
Type of examination
Presentation (20/30 Minutes) + written presentation + Handout
7
Requirements for allocation of Credit points
passed presentation
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
1,6 %
10
Lecturer
Prof. Dr. Wieske
11
Additional information
Language of teaching: German/English
Literature:
1. Gesetzestexte: BGB, HGB, Transportgesetze ( §§ 407 ff. HGB; ADSp, CMR, CIM, WA, MÜ,
Logistik-AGB, BIFA-Conditions)
2. Wieske, Thomas: Transportrecht –schnell erfasst, 2. Auflage, Berlin 2008
3. Koller, Ingo, Transportrecht, 6. Aufl., München 2008
4. Müglich, Andreas: Transport- und Logistikrecht, München, 2002.
5. Enge, Hans Joachim: Transportversicherung, 2. Aufl., Wiesbaden, 1987
6. Dubischar, Roland: Die einzelnen Versicherungszweige, Verlag Versicherungswirtschaft,
2003
7. www.springer.de/recht/wieske/aktualisierungen ( zu den ADSp 2003, Montrealer
Übereinkommen)
Title: Planning of Material Flow Systems (Electives 2)
Code number
Workload
31130
Credits
60
2
Semester
5. Sem.
Frequency of
offering
Length
1 semester
each winter
semester
1
2
Course
Contact time
Self-study
Group size
Planning of Material Flow
Systems
2 SWS / 30 h
30 h
20 students
Learning outcomes / Objectives
The first part of the course is focused on the methods of material flow design. The main topic is
the application of the discussed methods in realistic case studies. Students will plan and design
simple material flow systems to obtain the feeling for real processes and the problems occurring
in technical systems, which are close to reality. The focus of the course is placed on the
technical aspects of planning and not on project management.
For the planning a 3D-software tool on the basis of virtual-reality-technology will be provided to
students. With its help students will be able to plan and design 3D animation of materials
handling and storage technology very close to reality.
3
Course contents
4
1. Structures of material handling systems
2. Processes of material flow research
3. Methods of material flow design
4. Project Planning is depending on selected topics, e.g.:
5. Planning of high bay warehouse – pre-storage area
6. Planning of order picking systems for various tasks
Teaching methods
Lectures, exercise
5
Art of examination
Written examination, study project, homework
6
Requirements for allocation of Credit points
Passed examination, study project, homework
7
Requirements for allocation of Credit points
8
Application of the module (other courses of studies)
/
9
Significance of the mark in the final score
1,1 %
10
Lecturer
Prof. Dr. Friedhelm Wesselmann
11
Additional information
Language of teaching: German
Title: Green Logistics (Electives 2)
Code number
Workload
31140
1
2
60
Credits
2
Semester
Frequency
3. Sem.
each winter
semester
Length
1 semester
Course
Contact time
Self-study
Group size
a) Green Logistics
2 SWS / 30 h
30 h
10 students
Learning outcomes / Objectives
This lecture shows aspects of practicing logistics under environmental aspects („Green
Logistics“). The various possibilities, basics and strategies of this “specific discipline” are worked
out. Students get ideas about various aspects and activities in “Green Logistics”.
The student shall get knowledge about strategic, tactical and operational activities for his
professional tasks, e.g. as a planner in (green) logistics. The lecture puts a focus on
environmental considerations. It tries to give hinces in harmonization of economy, technics and
ecology.
3
Course contents
4
Sustainability of transports
economic planning versus ecological planning
green Intralogistics
Green-Tech-solutions in logistics
„ecological concernment“ in Supply Chain. Economic, ecological and social aspects
Groups of claim in „Green Supply Chain“
Customer, market and product in „Green Logistics“
Structures and planning aspects in “Green Logistics”
Processes, process-control and measuring in “Green Logistics”
Technologies and resources in “Green Logistics”
Quality aspects in “Green Logistics”
Teaching methods
Lectures
5
Prerequisites for course participation
/
6
Type of examination
Project
7
Requirements for allocation of Credit points
passed project
8
Application of the module (other courses of studies)
/
9
Percentage of overall final grade
1,6 %
10
Lecturer
Prof. Dr.-Ing. E.-J. Ribbert
11
Additional information
Language of teaching: German
Literature:
1. Straube, F., Cetinkaya, B. (2008): Umwelt und Logistik, S. 62-81 in Straube, F.; Pfohl, H.Chr.: Trends und Strategien in der Logistik – Globale Netzwerke im Wandel, Deutscher
Verkehrs-Verlag, Bremen, 2008, ISBN 978-3-87154-388-3.
2. www.ecotransit.org