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

Multiobjective supply chain design under uncertainty- L.Pujianer/41-43/

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7. Virtual Plant-Wide Management and Optimization of Responsive Manufacturing Networks, “Business and infrastructure Modeling”
8. Strategic Supply chain optimization for the Pharmaceutical Industries- Nilay Shah /50-57/

5. Multiobjective supply chain design under uncertainty- L.Pujianer/41-43/
5.1 Acevedo, J., & Pistikopoulos, E. N. (1998). Stochastic optimization based algorithms for process synthesis under uncertainty.Comp. & Chem. Eng., 22, 647-671.
5.2 Ahmed, S., & Sahinidis, N. V. (1998). Robust process planning under uncertainty.

Ind. Eng. Chem. Res., 37, 1883-1892.

5.3 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.
5.4 Applequist, G. E., Pekny, J. F., & Reklaitis, G. V. (2000). Risk and uncer- tainty in managing manufacturing supply chains. Comp. & Chem. Eng., 24, 2211-2222.
5.5 Azapagic, A., & Clift, R. (1999). The application of life cycle assessment to process optimisation.

Comp. & Chem. Eng., 10, 1509-1526.

5.6 Barbaro, A., & Bagajewicz, M. J. (2002). Managing financial risk in planning under uncertainty.

Submitted to AIChE Journal 2003.

5.7 Bernardo, F., Pistikopoulos, E., & Saraiva, P. (1999). Integration and computational issues in stochastic design

and planning optimization prob- lems.

Ind. Eng. Chem. Res., 38, 3056-3068.
5.8 Biegler, L. T., Grossmann, I. E., & Westerberg, A. W. (1997). Systematic Methods of Chemical Process Design.

Prentice Hall PTR (New Jersey).

5.9 Birge,J.R., F. Louveaux. (1997). Introduction to Stochastic Programming.

Springer, New York.

5.10 Bok, J. K., Grossmann, I. E., & Park, S. (2000). Supply chain optimization in continuous flexible process networks.

Ind. Eng. Chem. Res., 39, 1279-1290.

5.11 Bose, S., & Pekny, J. F. (2000). A model predictive framework for planning and scheduling problems: a case study of consumer goods supply chain.

Comp. & Chem. Eng., 24, 329-335.

5.12 Brooke,A., Kendrick, D., A. Meeraus. (1988). GAMS - A User's Guide.
5.13 Chen, C. L., Wang, B. W., & Lee, W. C. (2003). Multi-objective optimiza- tion for a multi-enterprise supply chain network.

Ind. Eng. Chem. Res., 42, 1879-1889.

5.14 Cohen, M. A., & Lee, H. L. (1989). Resource deployment analysis of global manufacturing and distribution networks.

Journal of Manufacturing and Operation Management, 2, 81-104.

5.15 Eppen, G. D., Martin, R. K., & Schrage, L. (1989). A scenario approach to capacity planning.

Operations Research, 37, 517-527.

5.16 Fox, M., Barbuceanu, M., & Teigen, R. (2000). Agent-oriented supply chain

management.

The International Journal of Flexible Manufacturing Sys- tems, 12, 165-188.
5.17 Gjerdrum, J., Shah, N. & Papageorgiou, L. G. (2000). A combined optimization and asgent-based

approach for supply chain modelling and perfor- mance assessment.

Production Planning and Control, 12, 81-88.
5.18 Gjerdrum, J., Shah, N. & Papageorgiou, L. G. (2001). Transfer prices for multienterprise supply chain optimisation.

Ind. Eng. Chem. Res., 40, 1650-1660.

5.19 Gupta, A., & Maranas, C. D. (2000). A two-stage modelling and solution framework for multisite midterm

planning under demand uncertainty.

Ind. Eng. Chem. Res., 39, 3799-3813.37
5.20 Gupta, A., & Maranas, C. D. (2003). Managing demand uncertainty in supply chain planning.

Comp. & Chem. Eng., 27, 1219-1227.

5.21 Haimes, Y. Y., Lasdon, L. S., & Wismer, D. A. (1971). On a bicriterion formulation of the problems

of integrated system identification and system optimization.

IEEE Transactions on Systems, Man and Cybernetics, 1, 296-297.
5.22 Ierapetritou, M. G., & Pistikopoulos, E. N. (1996). Batch plant design and operations under uncertainty.

Ind. Eng. Chem. Res., 35, 772-787.

5.23 Iyer,R. R., & Grossmann, I. E. (1998). A bilevel decomposition algorithm

for long-range planning of process networks. Ind. Eng. Chem. Res., 37, 474-481.

5.24 Miettinen, K. M. (1999). Nonlinear multiobjective optimization.

Kluwer Academic Publishers (Boston).

5.25 Perea-L¶opez, E., Ydstie, B. E., & Grossmann, I. E. (2003). A model pre- dictive control strategy for supply chain optimization.

Comp. & Chem. Eng., 27, 1201-1218.

5.26 Perea-L¶opez, E., Grossmann, I. E., Ydstie, B. E., & Tahmmasebi, T. (2001). Dynamic modeling and decentralized control of supply chains.

Ind. Eng. Chem. Res., 40, 3369-3383.

5.27 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.

5.28 Rodera, H., Bagajewicz, M. J., & Trafalis, T. B. (2002). Mixed-integer multiobjective process planning under uncertainty.

Ind. Eng. Chem. Res., 41, 4075-4084.

5.29 Sakawa, M., Nishizaki, I., & Uemura, Y. (2001). Fuzzy programming and pro¯t and cost allocation for a production and transportation problem.

38 European Journal of Operational Research, 131, 1-15.

5.30 Silver, E. A., Pyke, D. F., & Peterson, R. (1998). Inventory Management and Production Planning and Scheduling.

John Wiley & Sons (New York).

5.31 Simchi-Levi, D., Kamisky, P., & Simchi-Levi, E. (2000). Designing and Man- aging the Supply Chain. Concepts, Strategies, and Case Studies.

Irwin McGraw-Hill.

5.32 Subrahmanyam, S. (1996). Issues in the design and planning of batch chemical plants.

Ph.D. Thesis, Purdue University, West Lafayette, USA.

5.33 Timpe, C. H., & Kallrath, J. (2000). Optimal planning in large multi-site production networks.

European Journal of Operational Research, 126, 422-435.

5.34 Tsiakis, P., Shah, N., & Pantelides C. C. (2001). Design of multi-echelon supply chain networks under demand uncertainty.

Ind. Eng. Chem. Res., 40, 3585-3604.

5.35 Zhou, Z., Cheng, S., & Hua, B. (2000). Supply chain optimization of continuous process industries with sustainability considerations.

Comp. & Chem. Eng., 24, 1151-1158.

6.Risk management in the Scheduling of Batch plants under uncertain Market Demand-Luis Puigjianer /44-46/
6.1 Shah, N. Single- and Multisite Planning and Scheduling: Current Status and Future Challenges.

In Foundations of Computer- Aided Process Operations; AIChE Symposium Series; American Institute of Chemical Engineers (AIChE):

New York, 1998; pp 75-90.
6.2 Vin, J. P.; Ierapetritou, M. G. A New Appraoch for Efficient Rescheduling of Multiproduct Batch Plants.

Ind. Eng. Chem. Res. 2000, 39, 4228.
6.3 Petkov, S. B.; Maranas, C. G. Multiperiod Planning and Scheduling of Multiproduct Batch Plants under Demand Uncertainty.

Ind. Eng. Chem. Res. 1997, 36, 4864-4881.
6.4 Lee, Y. G.; Malone, M. F. A General Treatment of Uncertainties in Batch Process Planning.

Ind. Eng. Chem. Res. 2001, 40, 1507-1515.
6.5 Vin, J. P.; Ierapetritou, M. G. Robust Short-Term Scheduling of Multiproduct Batch Plants under Demand Uncertainty.

Ind. Eng. Chem. Res. 2001, 40, 4543-4554.
6.6 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, 2002.

6.7 Harjunkoski, I.; Grossmann, I. E. Decomposition Techniques for Multistage Scheduling Problems Using Mixed-Integer and Constraint Programming Methods.

Comput. Chem. Eng. 2002, 1533-1552.
6.8 Balasubramanian, J.; Grossmann, I. E. Scheduling Optimization under UncertaintysAn Alternative Approach.

Comput. Chem. Eng. 2003, 469-490.
6.9 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.

6.10 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.

6.11 Mockus, L.; Reklaitis, G. V. Mathematical Programming Formulation for Scheduling of Batch Operations Based on

Nonuniform Time Discretization.

Comput. Chem. Eng. 1997, 21, 1147.

6.12 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.
6.13 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.
6.14 Me´ndez, C. A.; Henning, G. P.; Cerda´ , J. An MILP Continuous-Time Approach to Short-Term Scheduling of Resource- Constrained Multistage Flowshop Batch Facilities.

Comput. Chem. Eng. 2001, 25, 701-711.

6.15 Barbaro, A.; Bagajewicz, M. J. Managing Financial Risk in Planning Under Uncertainty.

AIChE J. 2003, manuscript submitted.
6.16 Barbaro, A.; Bagajewicz, M. J. Effect of Inventory and Contract Options to Hedge Financial

Risk in Planning under Uncertainty.

AIChE J. 2003, manuscript submitted.
6.17 Eppen, G. D.; Martin, R. K.; Schrage, D. A. A Scenario

Approach to Capacity Planning. Oper. Res. 1989, 37, 517-527.

6.18 Birge, J. R.; Louveaux, F. Introduction to Stochastic Programming;

Springer: New York, 1997.

6.19 Samsatli, N. J.; Papageorgiou, L. G.; Shah, N. Robustness Metrics for Dynamic Optimization Models under Parameter Uncertainty.

AIChE J. 1998, 44, 1993-2006.
6.20 Suh, M.; Lee, T. Robust Optimization Method for the Economic Term in Chemical Process Design and Planning.

Ind. Eng. Chem. Res. 2001, 40, 5950-5959.
6.21 Ahmed, S.; Sahinidis, N. V. Process Planning under Uncertainty.

Ind. Eng. Chem. Res. 1998, 37, 1883-1892.
6.22 Gupta, A.; Maranas, C. D. Market-Based Pollution Abatement Strategies: Risk Management using Emission Option Contracts.

Ind. Eng. Chem. Res. 2003, 42, 802-810.
6.23 Brooke, A.; Kendricck, D.; Meeraus, A. GAMS: A User’s Guide. Scientific Press: Berkeley, CA, 1988.

7. Virtual Plant-Wide Management and Optimization of Responsive Manufacturing Networks, “Business and infrastructure Modeling”
7.1 Brooke, A, D. Kendrick, A. Meeraus and R. Raman (1998). GAMS: A User's Guide, GAMS Development Corporation, Washington.
7.2 Grossmann, I.E. (1985). "Mixed-Integer Programming Approach for the Synthesis of Intergrated Process Flowsheets",

Comput. Chern.Eng., 9, 463-482.
7.3 lerapetritou, M.G. and E.N. Pistikopoulos (1994). "Novel Optimisation Approach for Stochastic Planning Models,

lnd. Eng. Chern.Res., 33, 1930-1942.
7.4 lerapetritou, M.G., E.N. Pistikopoulos and C.A. Floudas (1996). "Operational Planning under Uncertainty",

CompoChern.Eng., 12,1499-1516
7.5 ILOG CPLEX 6.5 (1999). "User's Manual", ILOG, France.
7.6 Liu, M.L and N.Y. Sahinidis (1996). "Optimization in Process Planning under Uncertainty",

lnd. Eng. Chern.Res., 35, 4154-4165.
7.7 Liu, M.L. and N.V Sahinidis (1995). "Computational Trends and Effects of Approximations in an MILP Model for Process Planning",

lnd. Eng. Chern. Res., 34, 1662-1673.
7.8 Liu, M.L. and N.V. Sahinidis (1996). "Long Range Planning in the Process Industries: A Projection Approach",

Comput. Chern.Eng., 23, 237-253.
7.9 McDonald, C.M. and LA. Karimi (1997). "Planning and Scheduling of Parallel Semicontinuous Processes. 1. Production Planning",36, 2691-2700.

7.10 Petkov, S.B. and C.D. Maranas (1997). "Multiperiod Planning and Scheduling of Multiproduct Batch Plants under Demand Uncertainty",

lnd. Eng. Chern.Res., 36, 4864-4881.
7.11 Rippin, D.W.T. (1993)."Batch Process Systems Engineering: A Retrospective and Prospective Review",

Comput. Chem."'Eng.,17, SI-S13.
7.12 Sahinidis, N.V. and I.E. Grossmann (1992). "Reformulation of the Multiperiod MILP Model for Capacity Expansion of Chemical Processes",

Oper. Res., 40, SI27-S144.
7.13 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.
7.14 Schmidt, C.W. and I.E. Grossmann (1996). "Optimization Models for the Scheduling of Testing Tasks in New Product Development",

lnd. Eng. Chern.Res., 35, 3498-3510.
7.15 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.
7.16 Sengupta, J.K. (1972). "Stochastic Programming: Methods and Applications",

North- Holland Publishing Company, Amsterdam, 1972.

7.17 Shah, N. and C.C. Pantelides (1992). "Design of Multipurpose Batch Plants with Uncertain Production Requirements",

lnd. Eng. Chern.Res., 31, 1325-1337.
7.18 Wilkinson, S.1., A. Cortier, N. Shan and C.C. Pantelides (1996). "Integrated Production and Distribution Scheduling on a Europe-wide Basis",

Comput. Chern. Eng., 820, S1275-S1280.
7.19 Wilkinson, S.1., N. Shan and C.C Pantelides (1995). "Aggregate Modelling of Multipurpose Plant Operation",

Comput. Chern. Eng., 819, S583-S588.
7.20 Williams, IF., (1981). "Heuristic Techniques for Simultaneous Scheduling of Production and Distribution in Mutiechelon Structures- Theory and Empirical Comparisons",

Man. Sci., 27,336-352.

8. Strategic Supply chain optimization for the Pharmaceutical Industries- Nilay Shah/50-57/

8.1 Pisano, G. P. The Development FactorysUnlocking the Potential of Process Innovation, 3rd ed.;

Harvard Business School Press: Boston, 1997.
8.2 Williams, J. F. Heuristic techniques for simultaneous scheduling of production and distribution in multi echelon structures theory and empirical comparisons.

Man. Sci. 1981, 27, 336-352.
8.3 Wilkinson, S. J.; Shah, N.; Pantelides, C. C. Aggregate modeling of multipurpose plant operation.

Comput. Chem. Eng. 1995, S19, S583-S588.
8.4 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.
8.5 McDonald, C. M.; Karimi, I. A. Planning and scheduling of parallel semi continuous processes. 1. Producing planning.

Ind. Eng. Chem. Res. 1997, 36, 2691-2700.
8.6 Bitran, G. R.; Haas, E. A.; Hax, A. C. Hierarchical production

planning: A two-stage system. Oper. Res. 1982, 30, 232-251.

8.7 Sahindis, N. V.; Grossmann, I. E.; Fornari, R. E.; Chathranthi,

M. Optimization model for long-range planning in the

chemical industry.

Comput. Chem. Eng. 1989, 13, 1049-1063.
8.8 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.
8.9 Miu, M. L.; Sahinidis, N. V. Computational trends and effects of approximations

in an milp model for process planning.

Ind. Eng. Chem. Res. 1995, 34, 1662-1673.
8.10 Brooke, A.; Kendrick, D.; Meeraus, A.; Raman, R. GAMS:

A User’s Guide; GAMS Development Corporation, Washington, 1998.
8.11 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.
9. Coordination Supply chains decision an optimization model-Christoph Haeling /55-58/

9.1 Birge JR, Louveaux F (1997) Introduction to stochastic programming.

Springer, Berlin Heidelberg New York
9.2 Cohen MA, Huchzermeier A (1999) Global supply chain management: research and applications.

In: Tayur S, Ganeshan R, Magazine M (eds) Quantitative models for supply

chain optimization. Kluwer, Amsterdam
9.3 Graves SC, Rinnooy Kan AHG, Zipkin PH (eds) (1993) Logistics of production and inventory.

North-Holland, Amsterdam London New York Tokyo

9.4 Gunther HO, Blomer F, Grunow M (1998) Moderne Softwaretools fЁur das Supply Chain Management.

Zeitschrift fur wirtschaftliche Fertigung 93: 330–333

9.5 Hadjiconstantinou E (ed) (1999) Quick response in the supply chain. Springer, Berlin Heidelberg New York
9.6 Haehling von Lanzenauer C, Pilz-Glombik K (2000) A supply chain optimization models for MIT’s beer distribution game.

Zeitschrift fur Betriebswirtschaft 70(1): 101–116

9.7 Inderfurth K (1998) Zum Vergleich von Konzepten und Regeln zur Material.fluss-Steuerung in logistischen Ketten.

Zeitschrift fur Betriebswirtschaft 68(6): 627–643

9.8 KPMG (1999) Global supply chain benchmarking and best practices study, Phase II
9.9 Lucas C, Mitra G, Mirhassani S (1999) Supply chain planning under uncertainty. In: Hadjiconstantinou

E (ed) (1999) Quick response in the supply chain, pp 77–96.

Springer, Berlin Heidelberg New York
9.10 newscope (1997) Ef.cient supply chain practices mean big savings for leading manufacturers.

IIIE Solutions 8: 8–9

9.11 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

9.12 Poirier C, Reiter S (1996) Supply chain optimization.

Berret-Koehler, San Francisco

9.13 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

9.14 Shepherd J, Lapide L (1998) Supply chain planning optimization: just the facts.AMRReport on Supply Chain Management
9.15 Slats PA, Bhola B, Evers J, Dijkhuizen G (1995) Logistic chain modeling. European Journal of Operational Research 87: 1–20
9.16 Stadtler H (2000) Multi-level lot-sizing with setup times and multiple constrained resources: internally rolling schedules with lot-sizing windows.

Technische UniversitЁat Darmstadt, Working Paper 3/00

9.17 Sterman JD (1989) Modeling managerial behavior: misperceptions of feedback in a dynamic decision making environment.

Management Science 35(3): 321–339

9.18 Thomas DJ, Grif.n PM (1996) Coordinated supply chain management. European Journal of Operational Research 94: 1–15
9.19 Zapfel G, Wasner M (2000) Modellierung von Logistikketten und Moglichkeiten der Optimierung, gezeigt an einem Praxisfall der Stahllogistik.

Zeitschrift fЁur Betriebswirtschaft70(3): 267–288

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