1.
Summary of the executive session on emergency preparedness and the pharmaceutical supply chain Am J Health-Syst Pharm.
59:247-53 2002
2.
Design of Multipurpose Production Facilities: A RTN Decomposition-Based
Algorithm Ana Paula F. D. Barbosa-Póvoa* ,Constantinos C. Pantelides 1998
3.
Risk Management in the Scheduling of Batch Plants underUncertain Market
Demand Anna Bonfill,† Miguel Bagajewicz,‡ Antonio Espun˜ a,† and Luis
Puigjaner*,† 2004
4.
Integrating Budgeting Models into Scheduling and Planning Modelsfor the
Chemical Batch Industry J. Romero,†,‡ M. Badell,†,‡ M. Bagajewicz,§ and L.
Puigjaner*,† 2003
5.
Management of financial and consumer satisfaction risks in supply chain design G. Guillén(++), F. D. Mele(++), M. Bagajewicz(+), A. Espuña(++), and L. Puigjaner(++)(#) 2002
6.
Supply Chain Design and Analysis: Models and Methods ,Benita M. Beamon
2003
7.
An integrated system solution for supply chain optimization in the chemical process industry ,Guido Berning, Marcus Brandenburg, Korhan G¨ ursoy,
Vipul Mehta, and Franz-Josef T¨olle 2002
8.
An Integrated Integrated System System Solution Solution for Supply for
Supply Chain Chain Optimization Optimization in in the the Chemical
Chemical Process Process Industry Industry , Franz- J. Tölle, Guido Berning,
Marcus Brandenburg, Korhan Gürsoy, Jürgen-S. Kussi, and Vipul Mehta
2003
9.
Business Evolution and Enterprise Integration – Concept Group , Reported by:
Peter Bernus 1997
10.
Truncated branch-and-bound, schedule-construction, and scheduleimprovement procedures for resource-constrained project scheduling .
, Birger
Franck, Klaus Neumann, and Christoph Schwindt 2001
11.
Scheduling of a Multi-Product Batch Process in the Chemical Industry ,
Ferdinand Blömer and Hans-Otto Günther 1998
12.
Integration of Process Systems Engineering and Business Decision Making
Tools: Financial Risk Management and Other Emerging Procedures , Miguel J.
Bagajewicz 2004
13.
An integrated system solution for supply chain optimization in the chemical process industry , Guido Berning, Marcus Brandenburg, Korhan G¨ ursoy,
Vipul Mehta,and Franz-Josef T¨olle 2002
14.
A systematic approach for multi-objective process design in multi-purpose batch plants , A dissertation submitted to the Swiss Federal Institute of

Technology Zurich (ETHZ) For the degree of Doctor of Technical Sciences
2002
15.
Optimization Methodology with Genetic Algorithms and Analytic Hierarchy
Process in Supply Chains ,F.T.S. Chan*, S.H. Chung*, T.C. Wong*, H.C.W.
Lau**, R.W.L. Ip***, G. Finke**** 2001
16.
Aggregation Strategies to Minimize Inventory Cost under Uncertain
Demand ,Revised from Master Thesis by Yee-Chiu Cheng 2003
17.
Solving planning and scheduling problems with combined integer and constraint programming , Christian Timpe 2002
18.
Coordinating supply chain decisions: an optimization model , Christoph
Haehling von Lanzenauer and Karsten Pilz-Glombik 2002
19.
Logic Inference and a Decomposition Algorithm for the Resource-
Constrained Scheduling of Testing Tasks in Development of New
Pharmaceuticals and Agrochemicals , Christos T. Maravelias, Ignacio E.
Grossmann
20.
Makespan estimation and order acceptance in batch process industries when processing times are uncertain , Cristina V. Ivanescu, Jan C. Fransoo, and J.
Will M. Bertrand 2002
21.
Batch scheduling in process industries: an application of resource–constrained project scheduling , Batch–Scheduling in der Prozeßindustrie: 2000
22.
Component Based Software Architecture for Supply Chain Management
Systems , Ryan Darby, Judith Bishop, Willem Cilliers 2001
23.
Supply Chain Networks with Multicriteria Decision-Makers , June Dong and
Ding Zhang, Anna Nagurney, September, 2001
24.
A SIMULATION TEST BED FOR PRODUCTON AND SUPPLY CHAIN
MODELING ,S. T. Enns, Pattita Suwanruji 2003
25.
Financial Risk Management in Offshore Oil Infrastructure Planning and
Scheduling , Ahmed Aseeri, Patrick Gorman, and Miguel J. Bagajewicz*,
2004
26.
A multi-agent system for chemical supply chain simulation and management support
, Rodolfo Garc´ýa-Flores and Xue Zhong Wang 2002
27.
A multi-agent system for chemical supply chain simulation and management support , Rodolfo Garc´ýa-Flores and Xue Zhong Wang 2002
28.
Structured Approach to Storage Allocation for Improved Process
Controllability , J.D. Kelly‡ and J.F. Forbes 2000
29.
Fundamentals of Scatter Search and Path Relinking , Fred Glover, Manuel
Laguna†, Rafael Martí 2000
30.
Multi-objective process design in multi-purpose batch plants using a Tabu
Search optimization algorithm , L. Cavin a , U. Fischer a , .
, F. Glover b , K.
Hungerbühler a 2003

31.
An extended enterprise planning methodology for the discrete manufacturing industry , Florent Frederix 2001
32.
Sustainable Coordination , Martin Fredriksson, Rune Gustavsson, and
Alessandro Ricci 2003
33.
Incorporating heat integration in batch process scheduling , R. Adonyi a, J.
Romero b, L. Puigjaner b, F. Friedler a,* 2003
34.
Super-structure Generation for Separation Network Synthesis Involving
Different Separation Methods ,
Heckl1, Z. Kovács1,2, F. Friedler1,3, and L. T.
Fan3 2003
35.
Software Tool for Formulating and Solving Various Process-Synthesis
Problems , N. Sarkozi1, B. Bertok1, F. Friedler1, and L. T. Fan2 2003
36.
A New Framework for Batch Process Optimization Using the Flexible Recipe ,
Javier Romero,† Antonio Espun˜ a,† Ferenc Friedler,‡ and Luis Puigjaner*,†
2003
37.
SCHEDULING OF MULTIPURPOSE BATCH PROCESSES WITH
MULTIPLE BATCHES OF THE PRODUCTS, T. HOLCZINGER, J.
ROMERO1, L. PUIGJANER1 and F. FRIEDLER 2002
38.
Combinatorial Framework for Effective Scheduling of Multipurpose Batch
Plants
, E. Sanmartý and L. Puigjaner ´2002
39.
Incorporating heat integration in batch process scheduling , R. Adonyi a, J.
Romero b, L. Puigjaner b, F. Friedler a,* 2003
40.
SCHEDULING OF MULTIPURPOSE BATCH PROCESSES WITH
MULTIPLE BATCHES OF THE PRODUCTS , T. HOLCZINGER, J.
ROMERO1, L. PUIGJANER1 and F. FRIEDLER 2002
41.
SIMULATION BASED DECISION SUPPORT FOR SUPPLY CHAIN
LOGISTICS , Subhashini Ganapathy, S. Narayanan 2003
42.
Production planning of a multi-sitemanufacturing system by hybrid modelling: A case study from the automotive industry, M.G. Gnonia,*, R.
Iavagnilioa, G. Mossaa, G. Mummoloa, A. Di Levab 2003
43.
Production planning of a multi-sitemanufacturing system by hybrid modelling: A case study from the automotive industry , M.G. Gnonia,*, R.
Iavagnilioa, G. Mossaa, G. Mummoloa, A. Di Levab 2003
44.
A DISCUSSION OF PRODUCTION PLANNING APPROACHES IN THE
PROCESS INDUSTRY , Y. CRAMA1, Y. POCHET2 and Y. WERA3
45.
A clone-based graphical modeler and mathematical model generator for optimal production planning in process industries ,Murat Draman *, _I Kuban
Altinel, Nijaz Bajgoric, Ali Tamer €Unal, Burak Birg€oren 2002
46.
Discrete Optimization Methods and their Role in the Integration of Planning and Scheduling , Ignacio E. Grossmann*, Susara A. van den Heever and Iiro
Harjunkoski, March 1, 2001

47.
An Iterative Aggregation/Disaggregation Approach for the Solution of a
Mixed Integer Nonlinear Oilfield Infrastructure Planning Model , Susara A. van den Heever* and Ignacio E. Grossmann**, August 1999
48.
Discrete Optimization Methods and their Role in the Integration of Planning and Scheduling Ignacio E. Grossmann*, Susara A. van den Heever and Iiro
Harjunkoski, March 1, 2001
49.
Discrete Optimization Methods and their Role in the Integration of Planning and Scheduling , Ignacio E. Grossmann*, Susara A. van den Heever and Iiro
Harjunkoski, March 1, 2001
50.
A NEW MILP VARIABLE RESOURCE CONSTRAINED SCHEDULING
MODEL FOR THE TESTING OF PHARMACEUTICALS AND
AGROCHEMICALS , 2002
51.
Review of Nonlinear Mixed-Integer and Disjunctive Programming
Techniques , Ignacio E. Grossmann, June 2001/Rev. April 2002
52.
Challenges in the New Millennium: Product Discovery and Design, Enterprise and Supply Chain Optimization, Global Life Cycle Assessment , Ignacio E.
Grossmann 2003
53.
SIMULTANEOUS PLANNING FOR NEW PRODUCT DEVELOPMENT
AND DESIGN OF MANUFACTURING FACILITIES , Christos T.
2002
54.
An integrated system solution for supply chain optimization in the chemical process industry , Guido Berning, Marcus Brandenburg, Korhan G¨ ursoy,
Vipul Mehta,and Franz-Josef T¨ 2002
55.
LP-based heuristics for scheduling chemical batch processes (International
Journal of Production Research, 38(2000), No. 5, 1029-1051), Ferdinand
Blömer and Hans-Otto Günther 2000
56.
Midterm Supply Chain Planning Under Demand Uncertainty :Customer
Demand Satisfaction and Inventory Management Anshuman Gupta and
Costas D. Maranas1, 2001
57.
Midterm Supply Chain Planning Under Demand Uncertainty :Customer
Demand Satisfaction and Inventory Management , Anshuman Gupta and
Costas D. Maranas1 2001
58.
Managing demand uncertainty in supply chain planning , Anshuman Gupta,
Costas D. Maranas * 1999
59.
WeBid: A web-based framework to support early supplier involvement in new product development , G.Q. Huang * , K.L. Mak 1999
60.
An MILP Model for Short Term Scheduling of a Special Class of
Multipurpose Batch Plants ,Sungdeuk Moon and Andrew N. Hrymak. 1998

61.
AGENT-BASED MODELING OF SUPPLY CHAINS FOR DISTRIBUTED
SCHEDULING , Jason LAU, George Q Huang (Corresponding Author) and K
L Mak 2003
62.
ALTERNATIVE SUPPLY-CHAIN CONFIGURATIONS FOR
ENGINEERED OR CATALOGUED MADE-TOORDER
COMPONENTS:CASE STUDY ON PIPE UPPORTS USED IN POWER
PLANTS , Roberto J. Arbulu1 and Iris D. Tommelein2 2002
63.
ORDER-DELIVERY PROCESS IN MANUFACTURING NETWORK
DEPLOYING ANUFACTURING PHILOSOPHIES IN STEEL PRODUCT
INDUSTRY , Päivi Iskanius1 and Harri Haapasalo2 2003
64.
A NONLINEAR MULTIPERIOD PROCESS PTIMIZATION MODEL FOR
PRODUTION LANNING IN MULTI-PLANT FACILITIES , Jennifer R.
Jackson1, Jeanna Hofmann2, John Wassick3 and Ignacio E. Grossmann1*
1998
65.
AN APPROACH TO INVESTIGATE THE IMPACTS OF SHARING
PRODUCTION INFORMATION ON SUPPLY CHAIN DYNAMICS FROM
THE PERSPECTIVE OF SUPPLY CHAIN SCHEDULING , Jason S. K. Lau,
George Q. Huang, K. L. Mak 2002
66.
Mixed-Integer Linear Programming Model for Gasoline Blending nd
Distribution Scheduling , Zhenya Jia and Marianthi Ierapetritou* 2003
67.
SUPPLY CHAIN MULTI-OBJECTIVE SIMULATION OPTIMIZATION ,
Jeffrey A. Joines, Deepak Gupta, ahmut Ali Gokce, Russell E. King, Michael
G. Kay 2002
68.
PLANNING AND SCHEDULING FOR PETROLEUM REFINERIES
USING MATHEMATICAL PROGRAMMING , M.Joly1, L.F.L.Moro1,2 and
J.M.Pinto1* 2002
69.
Multi-stage Manufacturing System – Research Issues and Challenges , Tsetimi
Jonathan (Lead Author) 2003
70.
Combined strategic and operational planning – n MILP success story in chemical industry , Josef Kallrath1 , 2 , 2002
71.
Planning and scheduling in the process industry , Josef Kallrath1 , 2, 2002
72.
On scalarizing functions in multiobjective optimization , Kaisa Miettinen and
Marko M. M¨, 2002
73.
Planning and scheduling in the process industry , Josef Kallrath1 , 2, 2002
74.
Combined strategic and operational planning –an MILP success story in chemical industry , Josef Kallrath1 , 2, 2002
75.
Refinery Short-Term Scheduling Using Continuous Time ormulation: Crude-
Oil Operations
, Zhenya Jia and Marianthi Ierapetritou*,Jeffrey D. Kelly†,
2003

76.
An extended graph-based virtual clustering-enhanced approach to supply chain optimisation
, L. P. Khoo Æ X. F. Yin, 2003
77.
Advanced production scheduling for batch plants in process industries , Klaus
Neumann, Christoph Schwindt, and Norbert Trautmann, 2002
78.
An Accelerated Branch-and-Bound Algorithm for Assignment Problems of
Utility Systems , Alexandros M. Strouvalisa, Istvan Hecklb, Ferenc Friedlerb and Antonis C. Kokossisc* , 2000
79.
Emerging Technologies for Enterprise Optimization in the Process Industries ,
Rudolf Kulhav´y1,Joseph Lu2,Tariq Samad3, 2002
80.
Optimizing the Supply Chain of a Petrochemical Company under
81.
Uncertain Operating and Economic Conditions
, Haitham M. S. Lababidi,*,†
Mohamed A. Ahmed,‡ Imad M. Alatiqi,† and Adel F. Al-Enzi§, 2004
82.
IMPACTS OF SHARING PRODUCTION INFORMATION ON SUPPLY
CHAIN DYNAMICS: A MULTI-AGENT SIMULATION STUDY , Jason S.
K. Lau, George Q. Huang and K. L. Mak, 2003
83.
Web-based simulation portal for investigating impacts of sharing production information on supply chain dynamics from the perspective of inventory allocation , Jason S.K. Lau, George Q. Huang,K.L. Mak, 2002
84.
The impacts of sharing production information on supply chaindynamics: a review of the literature , GEORGE Q. HUANG{*, JASON S. K. LAU{ and K.
L. MAK, 2003
85.
Impact of information sharing on inventory replenishment in divergent supply chains , JASON S. K. LAUy, GEORGE Q. HUANGy* and K. L. MAKy,
2004
86.
A MODEL FOR SELECTING BUYER-SUPPLIER RELATIONSHIPS
George Q. Huang1, X.L. Sun 2, and Jason S.K. Lau1, 1998
87.
IMPACTS OF SHARING PRODUCTION INFORMATION ON SUPPLY
CHAIN DYNAMICS: A MULTI-AGENT SIMULATION STUDY , Jason S.
K. Lau, George Q. Huang and K. L. Mak, 2003
88.
A systematic approach for multi-objective process design in multi-purpose batch plants ,A dissertation submitted to the Swiss Federal Institute of
Technology Zurich (ETHZ) For the degree of Doctor of Technical Sciences
Presented by Laurent Cavin Ing. Chim. Dipl. EPF, Swiss Federal Institute of
Technology Lausanne born 03.04.1973 citizen of Vulliens (VD), 2003
89.
Identifying the optimal design of a single chemical process to be implemented in an existing multipurpose batch plant by the use ofTabu Search , Laurent
Cavin, Ulrich Fischer, and Konrad Hungerbühler, 2003
90.
Multi-objective process design in multi-purpose batch plants using a Tabu
Search optimization algorithm ,L. Cavin a , U. Fischer a , .
, F. Glover b , K.
Hungerbühler , 2004

91.
Identifying the optimal process design for a chemical process to be implemented in an existing multipurpose batch plant , Laurent Cavin, Andrej
, 2003
92.
Multi-objective process design in multi-purpose batch plants using a Tabu
Search optimization algorithm , L. Cavin a , U. Fischer a , .
, F. Glover b , K.
Hungerbühler, 2003
93.
INTEGRATING SUPPLY CHAIN AND NETWORK ANALYSES: THE
STUDY OF NETCHAINS , Sergio G. Lazzarini1, John M. Olin School of
Business, Fabio R. Chaddad, Michael L. Cook, 2001
94.
Automated Nonlinear Model Predictive Control using Genetic Programming ,
Benjamin Grosman and Daniel R. Lewin†, 2002
95.
SUPERVISING CONTROL SUPPORT SYSTEM OF A MULTIPURPOSE
BATCH PLANT STRUCTURED BY PROCESS AND BY ACTIVITY ,
LOZANO, O. CHIOTTI , 2001
96.
Design and retrofit of multiobjective batch plants via a multicriteria genetic algorithm ,Samuel Dedieu, Luc Pibouleau * , Catherine Azzaro-Pantel, Serge
Domenech Laboratoire de Ge´nie Chimique-UMR CNRS 5503, Maitre de
Conferences ENSIACET INPTabor, ENSIACET INPT, 118, Route de
Narbonne, 31077 Toulouse Cedex 04, France, 2003
97.
Real Options Based Analysis of Optimal Pharmaceutical Research and
Development Portfolios , Michael J. Rogers, Anshuman Gupta, and Costas D.
Maranas*, 2002
98.
Model Based Manufacturing Consolidated Review of Research and
Applications 8. Planning and Scheduling in the Process Industry , Mario
Stobbe, Thomas Löhl, Christian Schulz and Sebastian Engell Process Control
Laboratory, University of Dortmund, 2002
99.
Campaign planning for multi-stage batch processes in the chemical industry
Martin Grunow, Hans-Otto G¨unther, and Matthias Lehmann Deptartment of
Production Management, Technical University Berlin,Wilmersdorfer Straße
148, 10585 Berlin, Germany (e-mail: { m.grunow, ho.guenther, m.lehmann
} @pm-berlin.net
), 2002
100.
MetaMorph: An Adaptive Agent-Based Architecture for Intelligent
Manufacturing , Francisco Maturana , Weiming Shen and Douglas H.
Norrie Division of Manufacturing Engineering, The University of Calgary
2500 University Dr. NW, Calgary, AB, Canada T2N 1N4 Tel: +1 403 220
5787 Fax: +1 403 282 8406 E-mail: [maturana | wshen | norrie]@enme.ucalgary.ca, 1998
101.
Multi-company collaborative supply chain management with economical and environmental considerations
, Metin Türkay a , .
, Cihan Oruç a , Kaoru
Fujita b , Tatsuyuki Asakura b a College of Engineering, Koç University,
Rumelifeneri Yolu, Sariyer, Istanbul 34450, Turkey b Business Process
Optimization Lab, MCC-Group Science & Technology Research Center,

Mitsubishi Chemical Corporation, 3-10 Ushiodori, Kurashiki, Okayama 712-
8054, Japan, 2003
102.
OPTIMAL STORAGE TANK PROVISION IN THE DESIGN OF
BATCH PROCESSES , J. M. MONTAGNA and O. A. IRIBARREN
INGAR, Institute for Development and Design, Conicet Avellaneda 3657
(3000) Santa Fe, Argentina , 1999
103.
SIMULATION BASED DECISION SUPPORT FOR SUPPLY CHAIN
LOGISTICS , Subhashini Ganapathy S. Narayanan Department of Biomedical,
Industrial and Human Factors Engineering Wright State University 207 Russ
Engineering Center Dayton, OH 45324, U.S.A. Krishnamurthy Srinivasan
System Software Lab Intel Corporation Chandler, AZ 85226, U.S.A., 2003
104.
Enterprise-wide and Supply Chain Optimisation , Dr. N. Shah1, Mr. M.
Kong, Mr. P. Tsiakis, Mr. G. Gjerdrum and Mr. G. Gatica 1 Department of
Chemical Engineering, Imperial College, London SW7 2BY, U.K., 2000
105.
PHARMACEUTICAL SUPPLY CHAINS: KEY ISSUES AND
STRATEGIES FOR OPTIMISATION Nilay Shah Centre for Process
Systems Engineering, Department of Chemical Engineering, Imperial College of Science, Technology and Medicine London SW7 2BY, UK , 2004
106.
Process Industry Supply Chains: Advances and Challenges , Nilay Shah
Centre for Process Systems Engineering Department of Chemical Engineering
Imperial College London London SW7 2AZ, UK, 2004
107.
Towards an Infrastructure for Internet Enabled Collaborative Agent
Systems Weiming SHEN and Douglas H. NORRIE Div. of Manufacturing
Engineering, The University of Calgary, Calgary, Alberta, CanadaE-mail:
[wshen | norrie]@enme.ucalgary.ca, URL: http://imsg.enme.ucalgary.ca/Rob
KREMER Dept. of Computer Science, The University of Calgary, Calgary,
Alberta, Canada E-mail: kremer@cpsc.ucalgary.ca, URL: http://sern.cpsc.ucalgary.ca/CAG/ , 2000
108.
An Agent-Based Approach for Manufacturing Enterprise Integration and
Supply Chain Management , W. Shen and D. H. NorrieDiv. of Manufacturing
Engineering, The University of Calgary 2500 University Dr. NW, Calgary,
AB, Canada T2N 1N4 Tel: (403) 220-4165 Fax: (403) 282-8406 E-mail:
[wshen | norrie]@enme.ucalgary.ca URL: http://imsg.enme.ucalgary.ca/ ,
2000
109.
Pharmaceutical supply chains: key issues and strategies foroptimisation NilayShah Centre for Process Systems
Engineering Imperial College London , 2004
110.
XML-based supply chain integration: a case study Juha-Miikka
Nurmilaakso Department of Computer Science and Engineering, Helsinki
University of Technology, Espoo, Finland Jari Kettunen VTT Industrial
Systems, Technical Research Centre of Finland, Espoo, Finland Ilkka
Seilonen Department of Automation and Systems Technology, Helsinki
University of Technology, Espoo, Finland, 2001

111.
Experiences from the Development of an XML/XSLT-based Integration
Server for a Virtual Enterprise Type Co-Operation , Ilkka Seilonen, Juha-
Miikka Nurmilaakso, Stefan Jakobsson, Jari Kettunen, Kalle Kuhakoski TT
Automation, P.O.Box 1301, FIN-02044 VTT, Finland, {ilkka.seilonen, juha.nurmilaakso, stefan.jakobsson, jari.kettunen, kalle.kuhakoski}@vtt.fi
,
2002
112.
Seamless Production Planning and Communication in Distributed
Manufacturing: Case ABB Switchgear Production ,Juha-Miikka
NURMILAAKSO1, Jari KETTUNEN1, Juha-Matti LEHTONEN2, Juha
SARANEN2, Ilkka SEILONEN1 1VTT Automation, PO Box 1301, FIN-
02044 VTT, Finland Tel: +358 9 4561; Fax: +358 9 456 6752; Email:
{juha.nurmilaakso, jari.kettunen, ilkka.seilonen}@vtt.fi
2Delfoi Oy,
Tietäjäntie 14, FIN-02044 Espoo, Finland Tel: +358 9 4300 70; Fax: +358 9
4300 7277; Email: {juha-matti.lehtonen, juha.saranen}@delfoi.com
, 2002
113.
SCM is about integration , Ilkka Seilonen, Juha Nurmilaakso, Jari
Kettunen, Stefan Jakobsson, Petri Kalliokoski, Markku Mikkola and Veli-
Pekka Mattila , 2002
114.
STANDARDIZATION OF XML-BASED E-BUSINESS
FRAMEWORKS Paavo Kotinurmi Helsinki University of Technology PO
Box 9210, FIN-02015 HUT 358 9 451 6224 fax: 358 9 451 4958
Paavo.Kotinurmi@hut.fi
Juha-Miikka Nurmilaakso Helsinki University of
Technology PO Box 9210, FIN-02015 HUT 358 9 451 5066 fax: 358 9 451
4958 Juha.Nurmilaakso@hut.fi
Hannu Laesvuori Helsinki University of
Technology PO Box 9210, FIN-02015 HUT 358 9 451 6270 358 9 451 4958
Hannu.Laesvuori@hut.fi
, 2004
115.
Supply chain scheduling using distributed parallel simulation ,Juha-
Miikka Nurmilaakso, Department of Computer Science and Engineering,
Helsinki University of Technology, Finland , 2003
116.
A review of XML-based supply chain integration Juha-Miikka
Nurmilaakso, Software Business and Engineering Institute, Helsinki
University of Technology, Espoo, Finland Paavo Kotinurmi, Software
Business and Engineering Institute, Helsinki University of Technology,
Espoo, Finland , 2003
117.
XML-based Supply Chain Integration: A Review and a Case Study
HELSINKI UNIVERSITY OF TECHNOLOGY Department of Computer
Science and Engineering Juha-Miikka Nurmilaakso , 2003
118.
Integration of R&D, Manufacturing, and the Global Supply Chain ,
FOCAPO 2003
119.
A Call for Cost and Reference Models for Construction Supply Chains
IGLC-11 White Paper: Supply Chain Management Thrust Area Champion:
William O’Brien, University of Florida, wjob@ufl.edu December 2002

120.
CONSTRUCTION SUPPLY CHAIN MODELING: A RESEARCH
REVIEW AND INTERDISCIPLINARY RESEARCH AGENDA William J.
O’Brien,1 Kerry London2 and Ruben Vrijhoef3, 2002
121.
Robust solutions for supply chain management: Simulation and risk analysis of the Ericsson case study , Jack P.C. Kleijnen 1 and Fredrik Persson
21 Department of Information Management/Center for Economic Research
(CentER),Tilburg University (UvT), Postbox 90153, 5000 LE Tilburg, the
NetherlandsPhone: +31-13-4662029; fax: +31-13-4663377; e-mail: kleijnen@UvT.nl;http://center.kub.nl/staff/kleijnen/ 2 Department of
Production Economics, Linköpings Universitet, S-581 83 Linköping,Sweden
Phone: +46 (0)13 28 17 71; fax: +46 (0)13 28 89 75; e-mail: fredrik.persson@ipe.liu.se
; http://www.ipe.liu.se/fp/fp.html Position Paper
HR-178, sponsored by ‘Chain networks, Clusters & ICT’ (‘KLICT/ICES’),
2002
122.
Design of Multiproduct Batch Plants under Demand Uncertainty with
Staged Capacity Expansions Spas B. Petkov and Costas D. Maranas
Department of Chemical Engineering The Pennsylvania State University
University Park, PA 16802, 1999
123.
Study on multi-agent-based agile supply chain management Ping Lou Æ
Zu-de Zhou Æ You-Ping Chen Æ Wu Ai , 2004
124.
Model Development, Solution, and Analysis in Global Optimization János
D. Pintér Pintér Consulting Services, Inc. (PCS) & Dalhousie University PCS:
129 Glenforest Drive, Halifax, NS, Canada B3M 1J2 jdpinter@is.dal.ca http://is.dal.ca/~jdpinter/ To appear in: Global Optimization — Selected Case
Studies
(János D. Pintér, Editor) Kluwer Academic Publishers, Dordrecht /
Boston / London. , 2001
125.
A general modeling framework for the operational planning of petroleum supply chains
Sérgio M.S. Neiro a , 1
, José M. Pinto a , b , .
, 2 a Department of
Chemical Engineering, University of São Paulo, 05508-900 São Paulo, SP,
Brazil b Department of Chemical Engineering and Chemistry, Polytechnic
University, Brooklyn, NY 11201, USA, 2003
126.
Process Industry Supply Chains: Advances and Challenges Nilay Shah, may 2004
127.
Challenges in the New Millennium: Product Discovery and Design,
Enterprise and Supply Chain Optimization, Global Life Cycle Assessment
Ignacio E. Grossmann Department of Chemical Engineering, Carnegie
Mellon University, Pittsburgh, PA 15213, U.S.A. , 2003
128.
Challenges in the New Millennium: Product Discovery and Design,
Enterprise and Supply Chain Optimization, Global Life Cycle Assessment
Ignacio E. Grossmann Department of Chemical Engineering, Carnegie Mellon
University, Pittsburgh, PA 15213, U.S.A. , 2003
129.
Challenges in the New Millennium: Product Discovery and Design,
Enterprise and Supply Chain Optimization, Global Life Cycle Assessment

Ignacio E. Grossmann Department of Chemical Engineering, Carnegie Mellon
University, Pittsburgh, PA 15213, U.S.A. , 2004
130.
Publication I.Grossman
A Simulation Study of
Dynamic Order-up-to Policies in a Supply
Chainwith Non-Stationary Customer Demand and
Information Sharing A.M. Reddy · C. Rajendran,
2004
131.
Risk and uncertainty in managing chemical manufacturing supply chains
G.E. Applequist *, J.F. Pekny, G.V. Reklaitis School of Chemical
Engineering , Purdue Uni 6 ersity , West Lafayette , IN 47907- 1283, USA, 2000
132.
Risk and uncertainty in managing chemical manufacturing supply chains
G.E. Applequist *, J.F. Pekny, G.V. Reklaitis School of Chemical
Engineering , Purdue Uni 6 ersity , West Lafayette , IN 47907- 1283, USA, 2000
133.
RISK MANAGEMENT IN REAL OPTIONS BASED
PHARMACEUTICAL PORTFOLIO PLANNING Michael J. Rogers,
Anshuman Gupta, and Costas D. Maranas* Department of Chemical
Engineering, The Pennsylvania State University University Park, PA 16802,
2003
134.
Real Options Based Analysis of Optimal Pharmaceutical Research and
Development Portfolios Michael J. Rogers, Anshuman Gupta, and Costas D.
Maranas* Department of Chemical Engineering, The Pennsylvania State
University,University Park, Pennsylvania 16802, 2003
135.
FORMULATING A FRAMEWORK FOR RELATIONALLY
INTEGRATED CONSTRUCTION SUPPLY CHAINS EKAMBARAM
PALANEESWARAN_, MOHAN KUMARASWAMY and S. THOMAS NG
Department of Civil Engineering, The University of Hong Kong, Hong
Kong_epal@hkucc.hku.hk
Received September 2001 Revised August 2002
136.
Optimization under uncertainty: state-of-the-art and opportunities
Nikolaos V. Sahinidis . Department of Chemical and Biomolecular
Engineering, University of Illinois, 600 South Mathews Avenue, Urbana, IL
61801, USA, 2003
137.
Analytical investigations of the process planning problem Shabbir Ahmed a, Nikolaos V. Sahinidis b,* a Department of Mechanical and Industrial
Engineering , Uni 6 ersity of Illinois at Urbana Champaign , Urbana , IL , USA b
Department of Chemical Engineering , Uni 6 ersity of Illinois at Urbana -
Champaign , 600 South Mathews A 6 enue , Urbana , IL 61801, USA Received 3
March 1999; received in revised form 22 September 1999; accepted 22
September 1999
138.
AN APPROXIMATION SCHEME FOR STOCHASTIC INTEGER
PROGRAMS ARISING IN CAPACITY EXPANSION SHABBIR
AHMED School of Industrial and Systems Engineering, Georgia Institute of
Technology, 765 Ferst Drive, Atlanta, Georgia 30332, sahmed@isye.gatech.edu
NIKOLAOS V. SAHINIDIS Department of

Chemical and Biomolecular Engineering, University of Illinois, 600 South
Mathews Avenue, Urbana, Illinois 61801, nikos@uiuc.edu
, 2002
139.
Robust Process Planning under Uncertainty Shabbir Ahmed Department of
Mechanical & Industrial Engineering, University of Illinois at Urbana -
Champaign,1206 West Green Street, Urbana, Illinois 61801 Nikolaos V.
Sahinidis* Department of Chemical Engineering, University of Illinois at
Urbana Champaign,600 South Mathews Avenue, Urbana, Illinois 61801,
1998
140.
Supply Chain/Network Management: Basis of a Conceptual Framework ,
P. Samaranayake School of Management University of Western Sydney
Locked Bag 1797, PENRITH SOUTH DC NSW 1797, Australia, 2003
141.
Modelling and Solving Real-Time Scheduling Problems by Stochastic
Integer Programming G. Sand, S. Engell _ Process Control Laboratory,
University Dortmund, 44221 Dortmund, Germany, 2003
142.
A stochastic programming approach for supply chain network design under uncertainty Tjendera Santoso, Shabbir Ahmed_, Marc Goetschalckx,
Alexander Shapiro School of Industrial & Systems Engineering, Georgia
Institute of Technology, 765 Ferst Drive, Atlanta, GA 30332. June 16, 2003
143.
Scheduling Optimization under Uncertainty - An Alternative Approach J.
Balasubramanian_ and I. E. Grossmann_ Department of Chemical
Engineering, Carnegie Mellon University Pittsburgh, PA 15213, USA March
2002
144.
HALLENGES OF STRATEGIC SUPPLY CHAIN PLANNING AND
MODELING Jeremy F. Shapiro Slim Technologies 226 Commonwealth
Avenue Boston, MA 02116 jshapiro@slimcorp.com , 2003
145.
Beyond Supply Chain Optimization to Enterprise Optimization By
Jeremy F. Shapiro , SLIM Technologies, LLC Recognition that strategic supply chain planning should be imbedded in larger enterprise planning exercises will serve to break down barriers to fact-based decision-making. ,
2000
146.
Challenges of Strategic Supply Chain Planning and Modeling Jeremy
Shapiro FOCAPO 2003 January 13 2003
147.
Implementing Internet Enabled Virtual Enterprises Using Collaborative
Agents Weiming SHEN and Douglas H. NORRIE Div. of Manufacturing
Engineering, The University of Calgary, Calgary, Alberta, CanadaE-mail:
[wshen | norrie]@enme.ucalgary.ca, URL: http://imsg.enme.ucalgary.ca/ ,
2000
148.
An Agent-Based Manufacturing Enterprise Infrastructure for Distributed
Integrated Intelligent Manufacturing Systems Weiming Shen, Deyi Xue and
Douglas H. Norrie Division of Manufacturing Engineering, The University of
CalgaryE-mail: [wshen | xue | norrie]@enme.ucalgary.ca, 1999

149.
SIMULTANEOUS SIMULATION EXPERIMENTS AND NESTED
PARTITION FOR DISCRETE RESOURCE ALLOCATION IN SUPPLY
CHAIN MANAGEMENT Leyuan Shi Dept. of Industrial Engineering
University of Wisconsin-MadisonMadison, WI 53706, U.S.A.Chun-Hung
Chen Dept. of Systems Engineering University of Pennsylvania Philadelphia,
PA 19104, U.S.A. Enver Yücesan INSEAD Technology Management Area
Fontainebleau, FRANCE, 1999
150.
COAL BLENDING OPTIMIZATION UNDER UNCERTAINTY J.-S.
SHIH and H. C. FREY Center for Energy and Environmental Studies
Department of Engineering and Public Policy Carnegie Mellon University
Pittsburgh, PA 15213, U.S.A., 1993
151.
Hybridizing Discrete- and Continuous-Time Models for Batch Sizing and
Scheduling Problems¤ Siqun Wangy Monique Guignardz Modi…ed July 20,
2003
152.
A FRAMEWORK FOR BATCH PLANT INFORMATION MODELS Jo
Simensen Department of Engineering Cybernetics, The Norwegian University ofScience and Technology,N-7043 Trondheim, Norway,Fax: (+47) 73 59 43
99E-mail: jos@itk.unit.no
Charlotta Johnsson and Karl-Erik Årzén Department of Automatic Control,Lund Institute of Technology,Box 118, S-221 00 Lund,
Sweden,Fax: (+46) 46 13 81 18E-mail: lotta@control.lth.seE-mail: karlerik@control.lth.se
, 1998
153.
A new continuous-time formulation for scheduling crude oil operations P.
Chandra Prakash Reddy, I.A. Karimi .
, R. Srinivasan Department of Chemical and Biomolecular Engineering, National University of Singapore, 4
Engineering Drive 4, Singapore 117576, Singapore Received 21 May 2003; received in revised form 6 November 2003; accepted 28 January 2004
154.
Agent-based supply chain management*/2: a refinery application Nirupam
Julka 1, I. Karimi, Rajagopalan Srinivasan * Department of Chemical and
Environmental Engineering, The National University of Singapore, 4
Engineering Drive 4, 10 Kent Ridge Crescent,Singapore 117576,
SingaporeAccepted 12 July 2002
155.
Agent-based supply chain management*/1: framework Nirupam Julka 1,
Rajagopalan Srinivasan * , I. Karimi Department of Chemical and
Environmental Engineering, National University of Singapore, 4 Engineering
Drive, Singapore 117576, SingaporeReceived 26 July 2001; received in revised form 12 July 2002; accepted 12 July 2002
156.
UNLOCK SUPPLY CHAIN IMPROVEMENTS THROUGH
EFFECTIVE LOGISTICS A. Karimi,Rajagopalan Srinivasan and Por Leng
Han, National University of Singapore, 2003
157.
Supplay Chain Planing and management White Paper, 2002
158.
Multiobjective supply chain design under uncertainty G. Guill en a, F. D.
Mele a, M. J. Bagajewicz b, A. Espu~na a, L. Puigjaner a;¤, aUniversitat
Politµecnica de Catalunya, Chemical Engineering Department,Diagonal 647,

E-08028, Barcelona, Spain bOklahoma University, 100 E. Boyd St., T-335
Norman, OK73019, USA, 2004
159.
TOWARDS INTENTIONAL DYNAMICS IN SUPPLY CHAIN
CONSCIOUS PROCESS OPERATIONS* Ton BackxEindhoven University of Technology, NL, and IPCOS Technology, NL Okko Bosgra Delft
University of Technology, NL Wolfgang Marquardt RWTH Aachen
University of Technology, D, 1998
160.
Multi-company collaborative supply chain management with economical and environmental considerations Metin Türkay a , .
, Cihan Oruç a , Kaoru
Fujita b , Tatsuyuki Asakura b a
College of Engineering, Koç University,
Rumelifeneri Yolu, Sariyer, Istanbul 34450, Turkey b Business Process
Optimization Lab, MCC-Group Science & Technology Research Center,
Mitsubishi Chemical Corporation, 3-10 Ushiodori, Kurashiki, Okayama 712-
8054, Japan, 2003
161.
Here’s how to incorporate uncertainty and risk analysis into the newproduct development process.
Gary Blau and Gavin Sinclair,Purdue Univ.,
2001
162.
CASE STUDY IN APPLICATION OF PROJECT SCHEDULING
SYSTEM FOR CONSTRUCTION SUPPLY CHAIN MANAGEMENT
Kalyan Vaidyanathan1, 2002
163.
ROLES OF SUPPLY CHAIN MANAGEMENT IN CONSTRUCTION
Ruben Vrijhoef1 and Lauri Koskela2, 1999
164.
EXPLORING THE CONNECTION BETWEEN OPEN BUILDING AND
LEAN CONSTRUCTION: DEFINING A POSTPONEMENT STRATEGY
FOR SUPPLY CHAIN MANAGEMENT RubenVrijhoef1, Ype Cuperus2 and
Hans Voordijk3 , 2002
165.
A multi-agent system for chemical supply chain simulation and management support Rodolfo Garc´ýa-Flores and Xue Zhong Wang
Department of Chemical Engineering, The University of Leeds, Leeds LS2
9JT, UK(e-mail: x.z.wang@leeds.ac.uk
), 2002
166.
Manufacturing supply chain design and evaluation GeWang · Samuel H.
Huang · John P. Dismukes Received: 17 July 2002 / Accepted: 6 May 2003 /
Published online: 16 March 2004
167.
Combined Modeling with Multi-Agent Systems and Simulation: Its
Application to Harbor Supply Chain Management Dong Won Yi Strategic
Management Div., LG-EDS Systems, Seoul, Korea dwyi@lgeds.lg.co.kr
Soung Hie Kim Graduate School of Management, KAIST, Seoul, Korea seekim@kaist.ac.kr
Nak Hyun Kim Strategic Management Div., LG-EDS
Systems, Seoul, Korea nakhkim@lgeds.lg.co.kr
, 2002
168.
Organisational Abstractions for the Analysis and Design of Multi-Agent
Systems Franco Zambonelli_ Nicholas R. Jennings_ Michael Wooldridge_ _
Dipartimento di Scienze dell’Ingegneria Universit`a di Modena e Reggio

Emilia Via Campi 213-b – 41100 Modena, Italy franco.zambonelli@unimo.it
_ Department of Electronics and Computer Science University of
Southampton, Southampton SO17 1BJ, United Kingdom nrj@ecs.soton.ac.uk
_ Department of Computer Science, University of Liverpool Liverpool L69
7ZF, United Kingdom M.J.Wooldridge@csc.liv.ac.uk
March 2, 2000
169.
Supply Chain Dynamics: Impact of Network Structures and
Cooperative/Competitive Games YONG ZHANG1 AND DAVID DILTS1,2 1
Management of Technology Program Box 1518, Sta. BVanderbilt
UniversityNashville, TN, 37235, USAy.zhang@vanderbilt.edu2 Owen
Graduate School of ManagementVanderbilt UniversityNashville, TN, 37203,
USAdavid.dilts@vanderbilt.edu
, 2004
170.
Design of Distributed Real-time Control Agents for Intelligent
Manufacturing Systems Bin ZHOU, Lihui WANG, and Douglas H. NORRIE
Division of Manufacturing Engineering, University of Calgary, Calgary,
Alberta, Canada e-mail : [bzhou | lhwang | norrie]@enme.ucalgary.ca, UML: http://imsg.enme.ucalgary.ca/ , 2000

1. Process Industry Supply Chains: Advances and Challenges-Nilay Shah /1-17/
1.1 Ahmed, S. and N.V. Sahinidis, 1998, Robust process planning under uncertainty, Ind.Eng. Chem. Res ., 37 , 1883-1892. (1)
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Ops. Res.
, 51 , 461-47. (1)
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Computers chem. Engng.
, 24 , 2211-2222 . (1)
1.4 Backx, T., O. Bosgra and W. Marquardt, 1998, Towards intentional dynamics in supply chain conscious process operations,
AIChE Symp. Ser . 320(94) , 5-20 . (1)
1.5 Beamon, B.M., 1998, Supply chain design and analysis: models and methods,
In.t J. Prod. Econ.55 , 281-294 . (1)
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Berning, G., M. Brandenburg, K. Gursoy, V. Mehta and F,-J. Tölle, 2002, An integrated system for supply chain optimisation in the chemical process industry,
OR Spectrum , 24 , 371-401.
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1.7 Blau, G., B. Mehta, S. Bose, J. Pekny, G. Sinclair, K. Keunker and P. Bunch,
2000, Risk management in the development of new products in highly regulated industries.
Comput. Chem. Eng ., 24 , 1005-1011. (1)
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Ind. Eng. Chem. Res.
, 39 1279-1290. (1)
1.9 Bose, S. and J.F. Pekny, 2000, A model predictive framework for planning and scheduling problems, a case study of consumer goods supply chain,
Computers chem. Engng.
, 24 , 329-335. (1)
1.10 Brown, G.G., G.W. Graves and M.D. Honczarenko, 1987, Design and operation of a multicommodity production/distribution system using primal goal decomposition,
Management Science , 33 , 1469-1480. (1)
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Wegryn, 1997, Blending OR/MS, judgment, and GIS: restructuring P&G’s supply

chain,
Interfaces , 27:1 , 128-142.
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Haas’ response to a changing specialty chemicals market,
Interfaces , 30:6 , 1-16. (1)
1.13 Forrester, J., 1958, Industrial dynamics: a major breakthrough for decision makers. Harvard Business Review , July-August , 37-66. (1)
1.14 García-Flores, R. and X.Z. Wang, 2002, A multi-agent system for chemical supply chain simulation and management support,
OR Spectrum , 24 , 343-370. (1)
1.15 Geoffrion, A.M. and G.W. Graves, 1974, Multicommodity distribution system design by Benders decomposition, Management Science , 20 , 822-844. (1)
1.16 Geoffrion, A.M. and T.J. van Roy, 1979, Caution: common sense planning methods can be hazardous to your corporate health, Sloan Management Review , Summer , 31-42.
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1.17 Gjerdrum, J., N. Shah and L.G. Papageorgiou, 2000, A combined optimisation and agent-based approach for supply chain modelling and performance assessment,
Production Planning and Control , 12 , 81-88. (1)
1.18 Gnoni, M.G., R. Iavagnilio, G. Mossa, G. Mummolo and A. Di Leva, 2003,
Production planning of a multi-site manufacturing system by hybrid modelling:
A case study from the automotive industry,
International Journal of Production Economics , 85 , 251-262. (1)
1.19 Gupta, A., and C.D. Maranas, 2000, A two-stage modeling arid solution framework for multisite midterm planning under demand uncertainty,
Ind. Eng. Chem. Res., 39 , 3799-3813. (1)
1.20 Gupta, A., C.D. Maranas and C.M. McDonald, 2000, Mid-term supply chain planning under demand uncertainty: customer demand satisfaction and inventory management,
Computers and Chemical Engineering , 24 , 2613-2621. (1)
1.21 Hung, W.Y., N. Samsatli and N. Shah, 2003a, Object-oriented dynamic supply chain modelling incorporated with production scheduling,

Proc. International Conference on Industrial
Engineering and Production Management (IEPM 03), Porto, Portugal , 304-313.
(1)
1.22 Hung W.Y., S. Kucherenko, N. Samsatli and N. Shah, 2003b, An efficient sampling technique for stochastic supply chain simulations,
Proc. 2003 Summer Computer Simulation
Conference (SCSC 2003), July 2003, Montreal, , Simulation Series 35(3) , 101-
106. (1)
1.24 Iyer, R.R. and I.E. Grossmann, 1998, A bilevel decomposition algorithm for long-range planning of process networks,
Ind. Eng. Chem. Res ., 37 , 474-481. (1)
1.25 Jackson, J.R. and I.E. Grossmann, 2003, Temporal decomposition scheme for nonlinear multisite production planning and distribution models,
Ind. Eng. Chem. Res.
, 42 , 3045-3055. (1)
1.26 Julka, N., R. Srinivasan and I. Karimi, 2002a, Agent-bases supply chain management-1: framework, Computers chem.
Engng., 26, 1755-1769. (1)
1.27 Julka, N., R. Srinivasan and I. Karimi, 2002b, Agent-bases supply chain management-1: a refinery application,
Computers chem. Engng., 26, 1771-1781. (1)
1.28 Kallrath J., 2002a, Combined strategic and operational planning – an MILP success story in chemical industry,
OR Spectrum , 24 , 315-341. (1)
1.29 Kallrath J., 2002b, Planning and scheduling in the process industry,
OR Spectrum , 24 , 219-250.
1.30 Karabakal N., A. Gunal, and W. Ritchie, 2000, Supply-chain analysis at
Volkswagen of America,
Interfaces, 30(4), 46-55. (1)
1.31 Kegler, G. P. C. Jones, R. D. Traub and T. J. Lowe, 2003, Managing the seed-corn supply chain at Syngenta,
Interfaces , 33:1 , 80-90. (1)
1.32 Lambert, D.M. and M. Cooper, 2000, Issues in supply chain management,
Ind. Mktg. Mgt.
, 29 , 65-83. (1)
1.33 Lin, G., M.Ettl, S. Buckley, S. Bagchi, D.D. Yao, B.L. Naccarato, R. Allan.,
K.Kim and L.Koenig, 2000, Extended-enterprise supply-chain management at

IBM personal systems group and other divisions, Interfaces , 30 , 7-25. (1)
1.34 Liu, M.L. and N.V. Sahinidis, 1995, Computational trends and effects of approximations in an MILP model for process planning,
Ind. Eng. Chem. Res ., 34 , 1662-1673. (1)
1.35 Liu, M.L. and N.V. Sahinidis, 1996, Optimization in process planning under uncertainty,
Ind. Eng. Chem. Res.
, 35 , 4154-4165. (1)
1.36 McDonald, C.M. and I.A. Karimi, 1997, Planning and scheduling of parallel semicontinuous processes. 1. Production planning,
Ind. Eng. Chem. Res ., 36 , 2691-2700. (1)
1.37 Moro L.F.L., A.C. Zanin and J.M. Pinto, 1998, A planning model for refinery diesel production
Comput. Chem. Eng . 22 , S1039-S1042. (1)
1.38 Neumann, K., C. Schwindt and N. Trautmann, 2002, Advanced production scheduling for batch plants in process industries,
OR Spectrum , 24 , 251-279. (1)
1.39 Neiro, S.M.S. and J.M. Pinto, 2003, Supply chain optimisation of petroleum refinery complexes,
Proc.4thIntl. Conf. on Foundations of Computer-Aided Process Operations , 59-
72. (1)
1.40 Perea-Lopez E., B.E.Ydstie and I.E. Grossmann, 2001, Dynamic modelling and decentralised control of supply chains,
Ind. Eng. Chem. Res ., 40 , 3369-3383. (1)
1.41 Perea-Lopez E., B.E.Ydstie and I.E. Grossmann, 2003, A model predictive control strategy for supply chain optimisation,
Computers and Chemical Engineering , 27 , 1201-1218. (1)
2. Simultaneous planning for new product development and design of manufacturing facilities. -Ignacio Grossman
2.1 Asenjo, J.A., Montana, J.M., Vecchietti, A.R., Iribarren, O.A., Pinto, M.P.
(2000). Strategies for the Simultaneous Optimization of the Structure and the
Process Variables of a Protein Production
Plant. Computers Chem. Engng.
, 24, 2277. (2)
2.2 Blau, G., Metha, B., Bose, S., Pekny, J., Sinclair, G., Keunker, K., Bunch, P.
(2000). Risk Management in the Development of New Products in Highly

Regulated Industries.
Computers Chem Engng , 24, 659. (2)
2.3 Fisher, M.L. (1985). An Applications Oriented Guide to Lagrangean
Relaxation, Interfaces , 15:2, 10-21 (2)
2.4 Guignard, M., Kim, S. (1987). Lagrangean Decomposition: A Model Yielding
Stronger Lagrangean
Bounds. Mathematical Programming , 39, 215. (2)
2.5 Jain, V., Grossmann, I. E. (1999). Resource-constrained Scheduling of Tests in New Product Development.
Ind. Eng. Chem. Res., 38 (8), 3013. (2)
2.6 Maravelias, T.C., Grossmann, I.E. (2001). Simultaneous Planning for New
Product Development and Batch Manufacturing Facilities.
Submitted for publication at Ind. Eng. Chem. Res. (2)
2.7 Norton, L. C., Grossmann, I. E. (1994). Strategic Planning Model for
Complete Process Flexibility.
Ind. Eng. Chem. Res.
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2.8 Papageorgiou, L.G., Rotstein, G.E., Shah, N. (2001). Strategic Supply Chain
Optimization for the
Pharmaceutical Industries. Ind. Eng. Chem. Res.
, 40, 275. (2)
2.9 Subramanian, D., Pekny, J.F., Reklaitis, G.V. (2000). A Simulation-
Optimization Framework for Addressing Combinatorial and Stochastic Aspects of an R&D Pipeline Management Problem.
Computers Chem Engng , 24, 1005. (2)
3. A combined optimization and agent-based approach to supply chain modeling and performance assessment.-Nilay Shah
3.1 BALASUBRAMANIAN, S., and NORRIE, D. H., 1996, Multi-agent planning and coordination for distributed concurrent engineering.
International Journal of Cooperative Information Systems, 5, 153± 179. (3)
3.2 BARBUCEANU, M., and FOX,M. S., 1995, The architecture of an agent based infrastructure for agile manufacturing.
In Proceedings of IJCAI-95 . (3)
3.3 BARBUCEANU, M., FOX, M. S., and GRUNINGER, M., 1996, An organisation ontology for enterprise modeling: preliminary concepts for linking structure and behaviour.

Computers in Industry, 29, 123± 134. (3)
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Applied Arti® cial Intelligence, 13, 11± 38. (3)
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International Journal of Cooperative Information Systems, 5, 315± 331. (3)
3.6 FULKERSON, B., and STAFFEND, G., 1997, Decentralized control in the customer focused enterprise.
Annals of Operations Research, 75, 325± 333. (3)
3.7 GJ ERDRUM, J ., 1998, Multiagent systems supporting distributed
J. Gjerdrum et al. (3)
4. Pharmaceutical supply chains: key issues and strategies for optimization -
Nilay Shah /25-40/
4.1 Anon (2002). Summary of the executive session on emergency preparedness and the pharmaceutical supply chain. Am. J. Health-System Pharmacy , 59 (3) ,
247-253.
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4.6 Blau, G., B. Mehta, S. Bose, J. Pekny, G. Sinclair, K. Keunker and P. Bunch
(2000). Risk management in the development of new products in highly regulated industries. Comput. Chem. Eng ., 24 , 1005-1011. (4)

4.7 Booth, R. (1999). The global supply chain. FT healthcare management report .
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4.9 Clay, R.L. and I.E. Grossmann (1997). A disaggregation algorithm for the optimization of stochastic planning models. Comput. Chem. Eng ., 21 751-774. (4)
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23_q402sales_fullyear_2002.html (4)
4.11 Eppen, G.D., R.K. Martin, and L. Schrage (1987). A scenario approach to capacity planning. Op. Res ., 37 , 517–527. (4)
4.12 Gatica, G., N. Shah and L.G. Papageorgiou (2001). Capacity planning under clinical trials uncertainty for the pharmaceutical industries. Proc. ESCAPE-11,
Kondig, Denmark , 865-870. (4)
4.13 Gatica, G., L.G. Papageorgiou and N. Shah (2002a). Capacity planning under uncertainty for the pharmaceutical industry. Submitted to Trans. IChemE. Part A.
(4)
4.14 Gatica, G., L.G. Papageorgiou and N. Shah (2002b). An aggregation approach for capacity planning under uncertainty for the pharmaceutical industry.
Submitted to FOCAPO-2003 . (4)
4.15 Gjerdrum, J., Q.W.Z. Jalisi, L.G. Papageorgiou and N. Shah (2000).
Dynamic simulation of physical and business processes for supply chain improvement. Proc. 5th Annual Conf. Ind. Eng. Theory, Applications and
Practice, Hsinchu, Taiwan.
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4.16
Gjerdrum J., N. Shah and L.G. Papageorgiou (2001). New Product
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Eng ., 18 , 129-152. (4)
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4.20 Kall, P., and S.W. Wallace (1994). Stochastic Programming . Wiley, New
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