Literature 1990
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Papageorgaki, S. and G.V. Reklaitis (1990). Optimal design of multipurpose batch plants, Ind. Eng. Chem. Res., 29, 2054-2062. (4)
Literature 1991
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Reklaitis, G.V. (1991). Perspectives on scheudling and planning of process operations. Proc. PSE-1991, Montebello, Canada. (4)
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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.
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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.
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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
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Ballance, R. J. Pogany and H. Forstner (1992). The World’s pharmaceutical industries. Edward Elgar (for UNIDO), UK. (4)
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Shah, N. and C.C. Pantelides (1992). Design of multipurpose batch plants with uncertain production requirements. Ind. Eng. Chem. Res., 31, 1325-1337. (4)
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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)
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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
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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
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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.
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Samsatli, N. J.; Papageorgiou, L. G.; Shah, N. Robustness Metrics for Dynamic Optimization Models under Parameter Uncertainty.AIChE J. 1998, 44, 1993-2006.
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Rippin, D.W.T. (1993)."Batch Process Systems Engineering: A Retrospective and Prospective Review",Comput. Chem."'Eng.,17, SI-S13.
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Graves SC, Rinnooy Kan AHG, Zipkin PH (eds) (1993) Logistics of production and inventory.North-Holland, Amsterdam London New York Tokyo
Literature 1994
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Norton, L. C., Grossmann, I. E. (1994). Strategic Planning Model for Complete Process Flexibility.Ind. Eng. Chem. Res., 33 (1), 69. (2)
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Henning, G.P., N.B. Camussi and J. Cerda (1994). Design and planning of multipurpose plants involving nonlinear processing networks. Comput. Chem. Eng., 18, 129-152. (4)
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Kall, P., and S.W. Wallace (1994). Stochastic Programming. Wiley, New York. (4)
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Lerwent, J. (1994). The new pharmaceutical paradigm: scientific management at Merck. Harvard Business Review, Jan-Feb, 88-89. (4)
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lerapetritou, M.G. and E.N. Pistikopoulos (1994). "Novel Optimisation Approach for Stochastic Planning Models,
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lnd. Eng. Chern.Res., 33, 1930-1942.
Literature 1995
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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)
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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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Bhagwat, Y. and F.T. Griggs (1995). Analysis of riskiness of pharmaceutical industry firms. J. Res. Pharm. Econ., 6, 65-76. (4)
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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.
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Wilkinson, S.1., N. Shan and C.C Pantelides (1995). "Aggregate Modelling of Multipurpose Plant Operation",Comput. Chern. Eng., 819, S583-S588.
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Miu, M. L.; Sahinidis, N. V. Computational trends and effects of approximations
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in an milp model for process planning. Ind. Eng. Chem. Res. 1995, 34, 1662-1673.
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Slats PA, Bhola B, Evers J, Dijkhuizen G (1995) Logistic chain modeling. European Journal of Operational Research 87: 1–20
Literature 1996
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Liu, M.L. and N.V. Sahinidis, 1996, Optimization in process planning under uncertainty, Ind. Eng. Chem. Res., 35, 4154-4165. (1)
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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)
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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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EKENBERG, L., DANIELSON, M., and BOMAN, M., 1996, From local assessments to global rationality. International Journal of Cooperative Information Systems, 5, 315± 331. (3)
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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)
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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)
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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)
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Ierapetritou, M. G., & Pistikopoulos, E. N. (1996). Batch plant design and operations under uncertainty.Ind. Eng. Chem. Res., 35, 772-787.
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Subrahmanyam, S. (1996). Issues in the design and planning of batch chemical plants. Ph.D. Thesis, Purdue University, West Lafayette, USA.
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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.
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lerapetritou, M.G., E.N. Pistikopoulos and C.A. Floudas (1996). "Operational Planning under Uncertainty",CompoChern.Eng., 12,1499-1516
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Liu, M.L. and N.V. Sahinidis (1996). "Long Range Planning in the Process Industries: A Projection Approach",Comput. Chern.Eng., 23, 237-253.
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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.
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Poirier C, Reiter S (1996) Supply chain optimization. Berret-Koehler, San Francisco
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Thomas DJ, Grif.n PM (1996) Coordinated supply chain management. European Journal of Operational Research 94: 1–15
Literature 1997
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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.
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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)
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FULKERSON, B., and STAFFEND, G., 1997, Decentralized control in the customer focused enterprise.Annals of Operations Research, 75, 325± 333. (3)
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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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Grabowski, H. (1997). The effect of pharmacoeconomics on company research and development decisions. Pharmacoeconomics, 11, 389-397. (4)
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Mulvey, J.M., D.P. Rosenbaum and B. Shetty (1997). Strategic financial risk management and operations research. EJOR, 97, 1-16. (4)
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Biegler, L. T., Grossmann, I. E., & Westerberg, A. W. (1997). Systematic Methods of Chemical Process Design.Prentice Hall PTR (New Jersey).
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Birge,J.R., F. Louveaux. (1997). Introduction to Stochastic Programming.Springer, New York.
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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.
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Mockus, L.; Reklaitis, G. V. Mathematical Programming Formulation for Scheduling of Batch Operations Based onNonuniform Time Discretization.Comput. Chem. Eng. 1997, 21, 1147.
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Pisano, G. P. The Development FactorysUnlocking the Potential of Process Innovation, 3rd ed.;Harvard Business School Press: Boston, 1997.
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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
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Design of Multipurpose Production Facilities: A RTN Decomposition-Based Algorithm Ana Paula F. D. Barbosa-Póvoa* ,Constantinos C. Pantelides 1998
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Scheduling of a Multi-Product Batch Process in the Chemical Industry, Ferdinand Blömer and Hans-Otto Günther 1998
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An MILP Model for Short Term Scheduling of a Special Class of Multipurpose Batch Plants ,Sungdeuk Moon and Andrew N. Hrymak. 1998
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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
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A MODEL FOR SELECTING BUYER-SUPPLIER RELATIONSHIPS George Q. Huang1, X.L. Sun 2, and Jason S.K. Lau1, 1998
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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
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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
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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
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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
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Ahmed, S. and N.V. Sahinidis, 1998, Robust process planning under uncertainty, Ind.Eng. Chem. Res., 37, 1883-1892. (1)
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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)
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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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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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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)
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GJ ERDRUM, J ., 1998, Multiagent systems supporting distributedJ. Gjerdrum et al. (3)
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Shah, N. (1998). Single- and multisite planning and scheduling: current status and future challenges. AIChE Symp. Ser. 320(94), 75-90. (4)
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Thwaites R. and R.J. Townsend (1998). Pharmacoeconomics in the new millenium. Pharmacoeconomics, 13, 175-180. (4)
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Acevedo, J., & Pistikopoulos, E. N. (1998). Stochastic optimization based algorithms for process synthesis under uncertainty.Comp. & Chem. Eng., 22, 647-671.
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Silver, E. A., Pyke, D. F., & Peterson, R. (1998). Inventory Management and Production Planning and Scheduling. John Wiley & Sons (New York).
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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.
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Ahmed, S.; Sahinidis, N. V. Process Planning under Uncertainty.Ind. Eng. Chem. Res. 1998, 37, 1883-1892.
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Brooke, A, D. Kendrick, A. Meeraus and R. Raman (1998). GAMS: A User's Guide, GAMS Development Corporation, Washington.
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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.
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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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Inderfurth K (1998) Zum Vergleich von Konzepten und Regeln zur Material.fluss-Steuerung in logistischen Ketten.Zeitschrift fur Betriebswirtschaft 68(6): 627–643
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Petrovic D, Roy R, Petrovic R (1998) Modeling and simulation of a supply chain in an uncertain environment.European Journal of Operational Research 109: 299–309
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Shepherd J, Lapide L (1998) Supply chain planning optimization: just the facts.AMRReport on Supply Chain Management
Literature 1999
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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
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Managing demand uncertainty in supply chain planning, Anshuman Gupta, Costas D. Maranas * 1999
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WeBid: A web-based framework to support early supplier involvement in new product development, G.Q. Huang*, K.L. Mak 1999
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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
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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
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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
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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
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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
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ROLES OF SUPPLY CHAIN MANAGEMENT IN CONSTRUCTION Ruben Vrijhoef1 and Lauri Koskela2, 1999
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Jain, V., Grossmann, I. E. (1999). Resource-constrained Scheduling of Tests in New Product Development.Ind. Eng. Chem. Res., 38 (8), 3013. (2)
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BARBUCEANU, M., GRAY, T., and MANKOVSKI, S., 1999, Role of obligation in multiagent coordination.Applied Arti® cial Intelligence, 13, 11± 38. (3)
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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)
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Booth, R. (1999). The global supply chain. FT healthcare management report. Financial Times Business Ltd, London. (4)
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Jain, V. and I.E. Grossmann (1999). Resource-constrained scheduling of tests in new product development. Ind. Eng. Chem. Res., 38, 3013-3026. (4)
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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)
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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)
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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.
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Azapagic, A., & Clift, R. (1999). The application of life cycle assessment to process optimisation.Comp. & Chem. Eng., 10, 1509-1526.
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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.
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Miettinen, K. M. (1999). Nonlinear multiobjective optimization.Kluwer Academic Publishers (Boston).
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ILOG CPLEX 6.5 (1999). "User's Manual", ILOG, France.
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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.
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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
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Hadjiconstantinou E (ed) (1999) Quick response in the supply chain. Springer, Berlin Heidelberg New York
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KPMG (1999) Global supply chain benchmarking and best practices study, Phase II
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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
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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
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Batch scheduling in process industries: an application of resource–constrained project scheduling, Batch–Scheduling in der Prozeßindustrie: 2000
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Structured Approach to Storage Allocation for Improved Process Controllability, J.D. Kelly‡ and J.F. Forbes 2000
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Fundamentals of Scatter Search and Path Relinking, Fred Glover, Manuel Laguna†, Rafael Martí 2000
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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
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An Accelerated Branch-and-Bound Algorithm for Assignment Problems of Utility Systems, Alexandros M. Strouvalisa, Istvan Hecklb, Ferenc Friedlerb and Antonis C. Kokossisc* , 2000
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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)
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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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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)
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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)
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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)
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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)
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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)
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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)
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Karabakal N., A. Gunal, and W. Ritchie, 2000, Supply-chain analysis at Volkswagen of America,Interfaces, 30(4), 46-55. (1)
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Lambert, D.M. and M. Cooper, 2000, Issues in supply chain management, Ind. Mktg. Mgt., 29, 65-83. (1)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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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Shah, N., N.J. Samsatli, M. Sharif, J.N. Borland and L.G. Papageorgiou (2000). Modelling and optimisation for pharmaceutical and fine chemical process development. AIChE Symp. Ser. 323(96) 31-45. (4)
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Stephanopoulos, G., S. Ali, A. Linninger and E. Salomone (2000). Batch process development: challenging traditional approaches, AIChE Symp. Ser. 323(96) 46-57. (4)
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