Literature 2002
1. Summary of the executive session on emergency preparedness and the
pharmaceutical supply chain Am J Health-Syst Pharm. 59:247-53 2002
2. Management of financial and consumer satisfaction risks in supply chain design G.
Guillén(++), F. D. Mele(++), M. Bagajewicz(+), A. Espuña(++), and L.
Puigjaner(++)(#) 2002
3. 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
4. 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
5. 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
6. Solving planning and scheduling problems with combined integer and constraint
programming, Christian Timpe 2002
7. Coordinating supply chain decisions: an optimization model, Christoph Haehling von
Lanzenauer and Karsten Pilz-Glombik 2002
8. 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
9. 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
10. A multi-agent system for chemical supply chain simulation and management support,
Rodolfo Garc´ýa-Flores and Xue Zhong Wang 2002
11. A multi-agent system for chemical supply chain simulation and management support,
Rodolfo Garc´ýa-Flores and Xue Zhong Wang 2002
12. SCHEDULING OF MULTIPURPOSE BATCH PROCESSES WITH MULTIPLE
BATCHES OF THE PRODUCTS, T. HOLCZINGER, J. ROMERO1, L.
PUIGJANER1 and F. FRIEDLER 2002
13. Combinatorial Framework for Effective Scheduling of Multipurpose Batch Plants, E.
Sanmartý and L. Puigjaner ´2002
14. SCHEDULING OF MULTIPURPOSE BATCH PROCESSES WITH MULTIPLE
BATCHES OF THE PRODUCTS, T. HOLCZINGER, J. ROMERO1, L.
PUIGJANER1 and F. FRIEDLER 2002
15. 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
16. A NEW MILP VARIABLE RESOURCE CONSTRAINED SCHEDULING MODEL
FOR THE TESTING OF PHARMACEUTICALS AND AGROCHEMICALS, C. T.
2002
17. SIMULTANEOUS PLANNING FOR NEW PRODUCT DEVELOPMENT AND
DESIGN OF MANUFACTURING FACILITIES, Christos T. Maravelias and Ignacio
2002
18. 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
19. 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
20. 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
21. Mixed-Integer Linear Programming Model for Gasoline Blending nd Distribution
Scheduling, Zhenya Jia and Marianthi Ierapetritou* 2003
22. SUPPLY CHAIN MULTI-OBJECTIVE SIMULATION OPTIMIZATION, Jeffrey
A. Joines, Deepak Gupta, ahmut Ali Gokce, Russell E. King, Michael G. Kay 2002
23. PLANNING AND SCHEDULING FOR PETROLEUM REFINERIES USING
MATHEMATICAL PROGRAMMING, M.Joly1, L.F.L.Moro1,2 and J.M.Pinto1*
2002
24. Combined strategic and operational planning – n MILP success story in chemical
industry, Josef Kallrath1,2 , 2002
25. Planning and scheduling in the process industry, Josef Kallrath1,2, 2002
26. On scalarizing functions in multiobjective optimization, Kaisa Miettinen and Marko
M. M¨, 2002
27. Planning and scheduling in the process industry, Josef Kallrath1,2, 2002
28. Combined strategic and operational planning –an MILP success story in chemical
industry, Josef Kallrath1,2, 2002
29. Advanced production scheduling for batch plants in process industries, Klaus
Neumann, Christoph Schwindt, and Norbert Trautmann, 2002
30. Emerging Technologies for Enterprise Optimization in the Process Industries, Rudolf
Kulhav´y1,Joseph Lu2,Tariq Samad3, 2002
31. 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
32. Automated Nonlinear Model Predictive Control using Genetic Programming,
Benjamin Grosman and Daniel R. Lewin†, 2002
33. Real Options Based Analysis of Optimal Pharmaceutical Research and Development
Portfolios, Michael J. Rogers, Anshuman Gupta, and Costas D. Maranas*, 2002
34. 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
35. 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
36. 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
37. 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
38. SCM is about integration, Ilkka Seilonen, Juha Nurmilaakso, Jari Kettunen, Stefan
Jakobsson, Petri Kalliokoski, Markku Mikkola and Veli-Pekka Mattila , 2002
39. 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
40. CONSTRUCTION SUPPLY CHAIN MODELING: A RESEARCH REVIEW AND
INTERDISCIPLINARY RESEARCH AGENDA William J. O’Brien,1 Kerry
London2 and Ruben Vrijhoef3, 2002
41. 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: +31-134662029; 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
42. 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
Revised August 2002
43. AN APPROXIMATION SCHEME FOR STOCHASTIC INTEGER PROGRAMS
ARISING IN CAPACITY EXPANSION SHABBIR AHMEDSchool 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
44. Scheduling Optimization under Uncertainty - An Alternative ApproachJ.
Balasubramanian_ and I. E. Grossmann_ Department of Chemical Engineering,
Carnegie Mellon University Pittsburgh, PA 15213, USA March 2002
45. 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
46. 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, accepted 12 July 2002
47. Supplay Chain Planing and management White Paper, 2002
48. CASE STUDY IN APPLICATION OF PROJECT SCHEDULING SYSTEM FOR
CONSTRUCTION SUPPLY CHAIN MANAGEMENT Kalyan Vaidyanathan1,
2002
49. EXPLORING THE CONNECTION BETWEEN OPEN BUILDING AND LEAN
CONSTRUCTION: DEFINING A POSTPONEMENT STRATEGY FOR SUPPLY
CHAIN MANAGEMENT RubenVrijhoef1, Ype Cuperus2 and Hans Voordijk3 ,
2002
50. 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
51. 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
52. Combined Modeling with Multi-Agent Systems and Simulation: Its Application to
Harbor Supply Chain Management Dong Won Yi Strategic Management Div., LGEDS 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
53. 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,
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supply chain simulation and management support,OR Spectrum, 24, 343-370. (1)
56. Julka, N., R. Srinivasan and I. Karimi, 2002a, Agent-bases supply chain management1: framework, Computers chem.Engng., 26, 1755-1769. (1)
57. Julka, N., R. Srinivasan and I. Karimi, 2002b, Agent-bases supply chain
management-1: a refinery application,Computers chem. Engng., 26, 1771-1781. (1)
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story in chemical industry,OR Spectrum, 24, 315-341. (1)
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62. Butler, R. (2002). The end of the blockbuster? Chemistry & Industry, 9, 9-10. (4)
63. Gatica, G., L.G. Papageorgiou and N. Shah (2002a). Capacity planning under
uncertainty for the pharmaceutical industry. Submitted to Trans. IChemE. Part A. (4)
64. Rodera, H., Bagajewicz, M. J., & Trafalis, T. B. (2002). Mixed-integer multiobjective
process planning under uncertainty. Ind. Eng. Chem. Res., 41, 4075-4084.
65. Engell, S.; Markert, A.; Sand, G.; Schultz, R. Scheduling of a Multiproduct Batch
Plant by Two-Stage Stochastic Integer Programming;Technical Report 59, Preprint
520; Institut fur Mathematik, Gerhard-Mercator-Universitat, Duisburg, Germany,
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66. Harjunkoski, I.; Grossmann, I. E. Decomposition Techniques for Multistage
Scheduling Problems Using Mixed-Integer and Constraint Programming
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