C11IP_C4 - Heriot

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Form C4
1. Course
Code
5. School
7. Delivery:
Location &
Semester
Version 4.0 (2010/2011)
Heriot-Watt University - Course Descriptor Template
2. Course
Title
Management and Languages
C11IP
Demand and Inventory Planning
3. SCQF
Level
6. Course
Co-ordinator
11
4. Credits
15
Dr Christine Rutherford
Edin
SBC
Orkney
Dubai 
IDL
Collaborative Partner
Approved Learning Partner
Sem 2
Sem….
Sem………..
Sem 2 …..
Sem….
Name…………………….....Sem..…...
Name …………………………………Sem………..
8. Pre-requisites
None
9. Linked Courses
(specify if synoptic)
10. Excluded Courses
11. Replacement Courses
None
None
Code:
12. Degrees for
which this is a
core course
MSc/PGDip/Cert in Logistics and Supply Chain Management
MSc/PGDip/Cert in Logistics and Supply Chain Management with Shipping and Port Operations
MSc/PGDip/Cert in Logistics with Green and Sustainable Supply Chain Management
MSc/PGDip/Cert in Logistics and Supply Chain Management with Lean Six Sigma
MSc/PGDip/Cert in Logistics and Supply Chain Management with Business Performance
MSc/PGDip/Cert in Logistics and Supply Chain Management with Marketing
13. The course may be
14. Available as an Elective?
UG only
PG only 
UG & PG
delivered to:
15. Aims
 Build an understanding of the theory and evaluate the practice of demand and inventory planning
 Develop the skills to carry out sales forecasting using historic sales data
 Develop the skills to design an inventory policy and evaluate the potential impact of that policy on key inventory performance indicators
 Appreciate the importance of supply chain dynamics when making demand and inventory strategy decisions
 Understand the strategies that can minimise issues concerning the control of inventory in multi-echelon networks
 Develop a critical appreciation of existing research in demand and inventory planning
 Appreciate how collaborative planning initiatives support the principles of Supply Chain Management
16. Syllabus
 Fundamentals of inventory and the need to improve the match between supply and demand
 Financial impact of inventory in the supply chain on business performance
 Segmentation, ABC and VED analysis methods
 Demand planning and forecasting methods and metrics
 Sales Forecasting techniques: Time series analysis, decomposition and regression analysis
 Collaborative Planning initiatives: S&OP , VMI and CPFR
 Classic inventory control models and algorithms
 Supply chain dynamics in multi-echelon networks
 ERP, MRP and DRP logic
Yes
No
1/2
Form C4
Version 4.0 (2010/2011)
Heriot-Watt University - Course Descriptor Template
17. Learning Outcomes (HWU Core Skills: Employability and Professional Career Readiness)
Subject Mastery
Understanding, Knowledge and Cognitive Skills
Scholarship, Enquiry and Research (Research-Informed Learning
Develop in depth knowledge and understanding of
relevant demand and inventory management concepts
Analysis of historic sales data and its use in inventory planning
Develop awareness of the impact of forecasting and
Develop ability to evaluate alternative inventory control models and forecasting
inventory on supply chain performance
methods
Critically appreciate the complexities and dynamics of
Develop ability to analyse problems through course work and in examination.
managing inventories in multi-echelon network
Personal Abilities
Industrial, Commercial & Professional Practice
Have the skills and knowledge to evaluate and select the
most suitable inventory strategy for different product
/customer segments
Be able to segment inventories using relevant criteria
Be able to carry out sales forecasting using appropriate
methods
Understand the practical limitations of various forecasting
and inventory models
Autonomy, Accountability & Working with
Others
Group and class discussion
Develop interpersonal skills and practice the
skills required for working in groups
Work independently to develop skills required of
demand and inventory planners
18. Assessment Methods
Method
Date of Proposal
13 November 2013
Communicate effectively with team
members and write up a joint report
Use of spread-sheets to carry out
time series analysis
Analysis of case data in group
coursework
19. Re-assessment Methods
Duration of Exam
Weighting (%)
Synoptic courses?
Method
(if applicable)
Examination
Coursework
20. Date and Version
Communication, Numeracy & ICT
3 hours
Duration of Exam
(if applicable)
60%
40%
Date of Approval by
School Committee
None
Examination
Date of
Implementation
3 hours
Version
Number
2/2
Diet(s)
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