Process Industry Supply Chains: Advances and Challenges-Nilay Shah /1-17



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Literature 1990



  1. Papageorgaki, S. and G.V. Reklaitis (1990). Optimal design of multipurpose batch plants, Ind. Eng. Chem. Res., 29, 2054-2062. (4)

    Literature 1991

  2. Reklaitis, G.V. (1991). Perspectives on scheudling and planning of process operations. Proc. PSE-1991, Montebello, Canada. (4)

  3. Sahinidis, N.V., I.E. Grossmann (1991). "Multiperiod Investment Model for Process Networks with Dedicated and Flexible Plants", lnd. Eng. Chern.Res., 30, 1165-1171.

  4. Sahindis, N. V.; Grossmann, I. E. Reformulation of multiperiod optimization model for long range planning in the chemical industry.Comput. Chem. Eng. 1991, 15, 255-272.

  5. Shah, N. and C.C. Pantelides (1991). Optimal long-term campaign planning and design of batch plants. Ind. Eng. Chem. Res, 30, 2308-2321. (4)

    Literature 1992

  6. Ballance, R. J. Pogany and H. Forstner (1992). The World’s pharmaceutical industries. Edward Elgar (for UNIDO), UK. (4)

  7. Shah, N. and C.C. Pantelides (1992). Design of multipurpose batch plants with uncertain production requirements. Ind. Eng. Chem. Res., 31, 1325-1337. (4)

  8. Voudouris, V.T.and I.E. Grossmann (1992). Mixed-integer linear-programming reformulations for batch process design with discrete equipment sizes. Ind. Eng. Chem. Res., 31, 1315-1325. (4)

  9. Sahinidis, N.V. and I.E. Grossmann (1992). "Reformulation of the ultiperiod MILP Model for Capacity Expansion of Chemical Processes",Oper. Res., 40, SI27-S144.

    Literature 1993

  10. 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

  11. Kondili, E.; Pantelides, C. C.; Sargent, R. W. H. A General Algorithm for Short-Term Scheduling of Batch Operations. I. MILP Formulation.Comput. Chem. Eng. 1993, 17, 211-227.

  12. Samsatli, N. J.; Papageorgiou, L. G.; Shah, N. Robustness Metrics for Dynamic Optimization Models under Parameter Uncertainty.AIChE J. 1998, 44, 1993-2006.

  13. Rippin, D.W.T. (1993)."Batch Process Systems Engineering: A Retrospective and Prospective Review",Comput. Chem."'Eng.,17, SI-S13.

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    Literature 1994

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    Literature 1995

  21. 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)

  22. BARBUCEANU, M., and FOX,M. S., 1995, The architecture of an agent based infrastructure for agile manufacturing.In Proceedings of IJCAI-95. (3)

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  24. Pinto, J. M.; Grossmann, I. E. A Continuous Time Mixed Integer Linear Programming Model for Short-Term Scheduling of Multistage Batch Plants.Ind. Eng. Chem. Res. 1995, 34, 3037.

  25. Wilkinson, S.1., N. Shan and C.C Pantelides (1995). "Aggregate Modelling of Multipurpose Plant Operation",Comput. Chern. Eng., 819, S583-S588.

  26. Miu, M. L.; Sahinidis, N. V. Computational trends and effects of approximations

  27. in an milp model for process planning. Ind. Eng. Chem. Res. 1995, 34, 1662-1673.

  28. Slats PA, Bhola B, Evers J, Dijkhuizen G (1995) Logistic chain modeling. European Journal of Operational Research 87: 1–20

    Literature 1996

  29. Liu, M.L. and N.V. Sahinidis, 1996, Optimization in process planning under uncertainty, Ind. Eng. Chem. Res., 35, 4154-4165. (1)

  30. 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)

  31. 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)

  32. EKENBERG, L., DANIELSON, M., and BOMAN, M., 1996, From local assessments to global rationality. International Journal of Cooperative Information Systems, 5, 315± 331. (3)

  33. Linninger, A.A., S. Ali and G. Stephanopoulos (1996). Knowledge-based validation and waste management of batch pharmaceutical process designs. Comput. Chem. Eng., 20, S1431-S1436. (4)

  34. Papageorgiou, L.G. and C.C. Pantelides (1996). Optimal campaign planning/scheduling of multipurpose batch/semicontinuous tasks. 1. Mathematical formulation. Ind. Eng. Chem. Res., 35, 488-509. (4)

  35. Schmidt, C.W. and I.E. Grossmann (1996). Optimization models for the scheduling of testing tasks in new product development. Ind. Eng. Chem. Res., 35, 3498-3510. (4)

  36. Ierapetritou, M. G., & Pistikopoulos, E. N. (1996). Batch plant design and operations under uncertainty.Ind. Eng. Chem. Res., 35, 772-787.

  37. Subrahmanyam, S. (1996). Issues in the design and planning of batch chemical plants. Ph.D. Thesis, Purdue University, West Lafayette, USA.

  38. Reklaitis, G. V. Overview of scheduling and planning of batch process operations. In Batch Process Systems Engineering; Reklaitis, G. V.; Sunol, A. K.; Rippin, D. W. T.; Hortacsu, O., Eds.;Springer: Berlin, 1996; pp 660-705.

  39. lerapetritou, M.G., E.N. Pistikopoulos and C.A. Floudas (1996). "Operational Planning under Uncertainty",CompoChern.Eng., 12,1499-1516

  40. Liu, M.L. and N.V. Sahinidis (1996). "Long Range Planning in the Process Industries: A Projection Approach",Comput. Chern.Eng., 23, 237-253.

  41. Wilkinson, S. J.; Cortier, A.; Shah, N.; Pantelides, C. C.Integrated production and distribution scheduling on a europewide basis.Comput. Chem. Eng. 1996, S20, S1275-S1280.

  42. Poirier C, Reiter S (1996) Supply chain optimization. Berret-Koehler, San Francisco

  43. Thomas DJ, Grif.n PM (1996) Coordinated supply chain management. European Journal of Operational Research 94: 1–15

    Literature 1997

  44. Camm, J.D., T.E. Chorman, F.A. Dill, J.R. Evans, D.J. Sweeney, G.W. Wegryn, 1997, Blending OR/MS, judgment, and GIS: restructuring P&G’s supply chain,Interfaces, 27:1, 128-142.

  45. 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)

  46. FULKERSON, B., and STAFFEND, G., 1997, Decentralized control in the customer focused enterprise.Annals of Operations Research, 75, 325± 333. (3)

  47. 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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  51. Birge,J.R., F. Louveaux. (1997). Introduction to Stochastic Programming.Springer, New York.

  52. Petkov, S. B., & Maranas, C. D. (1997). Multiperiod planning and schedul- ing of multipurpose batch plants under demand uncertainty.Ind. Eng. Chem. Res., 36, 4864-4881.

  53. Mockus, L.; Reklaitis, G. V. Mathematical Programming Formulation for Scheduling of Batch Operations Based onNonuniform Time Discretization.Comput. Chem. Eng. 1997, 21, 1147.

  54. Pisano, G. P. The Development FactorysUnlocking the Potential of Process Innovation, 3rd ed.;Harvard Business School Press: Boston, 1997.

  55. Birge JR, Louveaux F (1997) Introduction to stochastic programming. Springer, Berlin Heidelberg New Yorknewscope (1997) Ef.cient supply chain practices mean big savings for leading manufacturers.IIIE Solutions 8: 8–9

    Literature 1998

  56. Design of Multipurpose Production Facilities: A RTN Decomposition-Based Algorithm Ana Paula F. D. Barbosa-Póvoa* ,Constantinos C. Pantelides 1998

  57. Scheduling of a Multi-Product Batch Process in the Chemical Industry, Ferdinand Blömer and Hans-Otto Günther 1998

  58. An MILP Model for Short Term Scheduling of a Special Class of Multipurpose Batch Plants ,Sungdeuk Moon and Andrew N. Hrymak. 1998

  59. 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

  60. A MODEL FOR SELECTING BUYER-SUPPLIER RELATIONSHIPS George Q. Huang1, X.L. Sun 2, and Jason S.K. Lau1, 1998

  61. 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

  62. Robust Process Planning under Uncertainty Shabbir AhmedDepartment of Mechanical & Industrial Engineering, University of Illinois at Urbana-Champaign,1206 West Green Street, Urbana, Illinois 61801Nikolaos V. Sahinidis* Department of Chemical Engineering, University of Illinois at Urbana-Champaign,600 South Mathews Avenue, Urbana, Illinois 61801, 1998

  63. 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.noCharlotta Johnsson and Karl-Erik ÅrzénDepartment 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

  64. 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

  65. Ahmed, S. and N.V. Sahinidis, 1998, Robust process planning under uncertainty, Ind.Eng. Chem. Res., 37, 1883-1892. (1)

  66. 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)

  67. Beamon, B.M., 1998, Supply chain design and analysis: models and methods, In.t J. Prod. Econ.55, 281-294. (1)

  68. 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)

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  70. GJ ERDRUM, J ., 1998, Multiagent systems supporting distributedJ. Gjerdrum et al. (3)

  71. Shah, N. (1998). Single- and multisite planning and scheduling: current status and future challenges. AIChE Symp. Ser. 320(94), 75-90. (4)

  72. Thwaites R. and R.J. Townsend (1998). Pharmacoeconomics in the new millenium. Pharmacoeconomics, 13, 175-180. (4)

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  74. Silver, E. A., Pyke, D. F., & Peterson, R. (1998). Inventory Management and Production Planning and Scheduling. John Wiley & Sons (New York).

  75. Ierapetritou, M. G.; Floudas, C. A. Effective Continuous Time Formulation for Short-Term Scheduling. 1. Multipurpose- Batch Processes.Ind. Eng. Chem. Res. 1998, 37, 4341-4359.

  76. Ahmed, S.; Sahinidis, N. V. Process Planning under Uncertainty.Ind. Eng. Chem. Res. 1998, 37, 1883-1892.

  77. Brooke, A, D. Kendrick, A. Meeraus and R. Raman (1998). GAMS: A User's Guide, GAMS Development Corporation, Washington.

  78. Schmidt, C.W., I.E. Grossmann and G.E. Blau (1998). "Optimization of lndustrial Scale Scheduling Problems in New Product Development"Compo Chern. Eng., 22, S1027- SI030.

  79. Gunther HO, Blomer F, Grunow M (1998) Moderne Softwaretools fЁur das Supply Chain Management.Zeitschrift fur wirtschaftliche Fertigung 93: 330–333

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    Literature 1999

  83. 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

  84. Managing demand uncertainty in supply chain planning, Anshuman Gupta, Costas D. Maranas * 1999

  85. WeBid: A web-based framework to support early supplier involvement in new product development, G.Q. Huang*, K.L. Mak 1999

  86. 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

  87. 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

  88. Analytical investigations of the process planning problem Shabbir Ahmed a, Nikolaos V. Sahinidis b,* a Department of Mechanical and Industrial Engineering, Uni6ersity of Illinois at Urbana-Champaign, Urbana, IL, USAb Department of Chemical Engineering, Uni6ersity of Illinois at Urbana-Champaign, 600 South Mathews A6enue, Urbana, IL 61801, USAReceived 3 March 1999; received in revised form 22 September 1999; accepted 22 September 1999

  89. 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

  90. 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

  91. ROLES OF SUPPLY CHAIN MANAGEMENT IN CONSTRUCTION Ruben Vrijhoef1 and Lauri Koskela2, 1999

  92. Jain, V., Grossmann, I. E. (1999). Resource-constrained Scheduling of Tests in New Product Development.Ind. Eng. Chem. Res., 38 (8), 3013. (2)

  93. BARBUCEANU, M., GRAY, T., and MANKOVSKI, S., 1999, Role of obligation in multiagent coordination.Applied Arti® cial Intelligence, 13, 11± 38. (3)

  94. Barbosa-Povoa, A.P.F.D. and C.C. Pantelides (1999). Design of multipurpose production facilities: A RTN decomposition-based algorithm. Comput. Chem. Eng., 23, S7-S10. (4)

  95. Booth, R. (1999). The global supply chain. FT healthcare management report. Financial Times Business Ltd, London. (4)

  96. Jain, V. and I.E. Grossmann (1999). Resource-constrained scheduling of tests in new product development. Ind. Eng. Chem. Res., 38, 3013-3026. (4)

  97. Myers, S. (1999). Measuring pharmaceutical risk and the cost of capital. In: Risk and return in the pharmaceutical industry; Eds. J. Sussex and N. Marchant, OHE., London, 59-76. (4)

  98. Rotstein, G.E., L.G. Papageorgiou, N. Shah, D.C. Murphy and R. Mustafa (1999).A product portfolio approach in the pharmaceutical industry. Comput. Chem. Eng., 23, S883-S886. (4)

  99. Anupindi, R., & Bassok, Y. (1999). Supply chain contracts with quantity commitments and stochastic demand.Quantitative Models for Suply Chain Management. Norwell, MA: Kluwer Academic Publishers.

  100. Azapagic, A., & Clift, R. (1999). The application of life cycle assessment to process optimisation.Comp. & Chem. Eng., 10, 1509-1526.

  101. Bernardo, F., Pistikopoulos, E., & Saraiva, P. (1999). Integration and computational issues in stochastic designand planning optimization prob- lems.Ind. Eng. Chem. Res., 38, 3056-3068.

  102. Miettinen, K. M. (1999). Nonlinear multiobjective optimization.Kluwer Academic Publishers (Boston).

  103. ILOG CPLEX 6.5 (1999). "User's Manual", ILOG, France.

  104. Rotstein, G. E.; Papageorgiou, L. G.; Shah, N.; Murphy, D. C.; Mustafa, R.A product portfolio approach in the pharmaceutical industry.Comput. Chem. Eng. 1999, S23, S883-S886.

  105. Cohen MA, Huchzermeier A (1999) Global supply chain management: research and applications.In: Tayur S, Ganeshan R, Magazine M (eds) Quantitative models for supplychain optimization. Kluwer, Amsterdam

  106. Hadjiconstantinou E (ed) (1999) Quick response in the supply chain. Springer, Berlin Heidelberg New York

  107. KPMG (1999) Global supply chain benchmarking and best practices study, Phase II

  108. Lucas C, Mitra G, Mirhassani S (1999) Supply chain planning under uncertainty. In: HadjiconstantinouE (ed) (1999) Quick response in the supply chain, pp 77–96. Springer, Berlin Heidelberg New York

  109. Shapiro JF (1999) Bottum-up vs. top-down approaches to supply chain management. In: Tayur S, Ganeshan R, Magazine M (eds) (1999)Quantitative models for supply chain optimization. Kluwer, Amsterdam

    Literature 2000

  110. Batch scheduling in process industries: an application of resource–constrained project scheduling, Batch–Scheduling in der Prozeßindustrie: 2000

  111. Structured Approach to Storage Allocation for Improved Process Controllability, J.D. Kelly‡ and J.F. Forbes 2000

  112. Fundamentals of Scatter Search and Path Relinking, Fred Glover, Manuel Laguna†, Rafael Martí 2000

  113. 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

  114. An Accelerated Branch-and-Bound Algorithm for Assignment Problems of Utility Systems, Alexandros M. Strouvalisa, Istvan Hecklb, Ferenc Friedlerb and Antonis C. Kokossisc* , 2000

  115. 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

  116. 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

  117. 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

  118. Risk and uncertainty in managing chemical manufacturing supply chains G.E. Applequist *, J.F. Pekny, G.V. Reklaitis School of Chemical Engineering, Purdue Uni6ersity, West Lafayette, IN 47907- 1283, USA, 2000

  119. Risk and uncertainty in managing chemical manufacturing supply chains G.E. Applequist *, J.F. Pekny, G.V. Reklaitis School of Chemical Engineering, Purdue Uni6ersity, West Lafayette, IN 47907- 1283, USA, 2000

  120. 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

  121. 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

  122. 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

  123. 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

  124. Applequist, G.E., J.F. Pekny and G.V. Reklaitis, 2000, Risk and uncertainty in managing chemical manufacturing supply chains,Computers chem. Engng., 24, 2211-2222. (1)

  125. 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)

  126. Bok, J.K., I.E. Grossmann and S. Park, 2000, Supply chain optimization in continuous flexible process networks,Ind. Eng. Chem. Res., 39 1279-1290. (1)

  127. 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)

  128. D’Alessandro, A.J. and A. Baveja, 2000, Divide and conquer: Rohm and Haas’ response to a changing specialty chemicals market,Interfaces, 30:6, 1-16. (1)

  129. 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)

  130. 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)

  131. 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)

  132. Karabakal N., A. Gunal, and W. Ritchie, 2000, Supply-chain analysis at Volkswagen of America,Interfaces, 30(4), 46-55. (1)

  133. Lambert, D.M. and M. Cooper, 2000, Issues in supply chain management, Ind. Mktg. Mgt., 29, 65-83. (1)

  134. 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)

  135. 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 ProductionPlant. Computers Chem. Engng., 24, 2277. (2)

  136. 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)

  137. Subramanian, D., Pekny, J.F., Reklaitis, G.V. (2000). A Simulation-Optimization Framework for Addressing Combinatorial and Stochastic Aspects ofan R&D Pipeline Management Problem. Computers Chem Engng, 24, 1005. (2)

  138. Applequist, G.E., J.F. Pekny and G.V. Reklaitis (2000). Risk and uncertainty in managing chemical manufacturing supply chains. Comput. Chem. Eng., 24, 2211-2222. (4)

  139. 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)

  140. 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. (4)

  141. Moser, M. G. Calderari, P. Morini (2000). Cleaning validation of a multipurpose plant for active pharmaceutical ingredient bulk production. Chimia, 54, 731-733. (4)

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    Каталог: WWW Systems engineerig laboratory -> CV People systmeng -> CV Boyan Ivanov -> Publications ECAM
    WWW Systems engineerig laboratory -> На работа в науката и администрацията
    WWW Systems engineerig laboratory -> Оптимални разписания при многопродуктови периодични химични системи
    WWW Systems engineerig laboratory -> Проф. Д-р асен златаров
    WWW Systems engineerig laboratory -> 1. Кои са решаващите фактори за формиране на черноморската флора и фауна?
    WWW Systems engineerig laboratory -> Здраве и безопасност в пристанищни райони
    CV People systmeng -> Process Industry Supply Chains: Advances and Challenges-Nilay Shah /1-17
    WWW Systems engineerig laboratory -> Цонка Консулова
    WWW Systems engineerig laboratory -> Планиране в екологията и реновация на пристанищата в България
    Publications ECAM -> Algorithm for Setting Arbitrarily Structured Chemical Industrial Production in a Universal Chemical Industrial System

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