A hierarchical solution approach for multi-site capacity planning under uncertainty in the pharmaceutical industry

Computers and Chemical Engineering

Volumn 28, Issue 5, 2004, Pages 707-725

  Levis, Aaron A ^a   Papageorgiou, Lazaros G ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Clinical trials uncertainty; Mixed integer optimisation; Multi site capacity planning; Pharmaceutical industry; Trading structure; Two stage programming

Indexed keywords

DRUG PRODUCTS PLANTS; HIERARCHICAL SYSTEMS; NONLINEAR PROGRAMMING; NUMERICAL ANALYSIS; PLANNING; STRATEGIC PLANNING;

CLINICAL TRIALS OUTCOMES; MIXED-INTEGER NONLINEAR PROGRAMMING; MULTI-SITE CAPACITY PLANNING;

CHEMICAL ENGINEERING;

MEDICAL APPLICATION;

ALGORITHM; COMPUTER PROGRAM; CONFERENCE PAPER; DRUG INDUSTRY; INFORMATION PROCESSING; MATHEMATICAL MODEL;

EID: 1842850974     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2004.02.012     Document Type: Conference Paper

References (22)

1. Blau G., Mehta B., Bose S., Pekny J.F., Sinclair G., Keunker K.et al. Risk management in development of new products in highly regulated industries. Computers & Chemical Engineering. 24:2000;659-664.
2. Brooke, A., Kendrick, D., Meeraus, A., & Raman, R. (1998). GAMS: A user's guide. Washington: GAMS Development Corporation.
3. Cheng L., Subrahmanian E., Westerberg A.W. Design and planning under uncertainty: Issues on problem formulation and solution. Computers & Chemical Engineering. 27:2003;781-801.
4. EFPIA-European Federation of Pharmaceutical Industries and Associations (2003). http://www.efpia.org/.
5. Gatica, G., Shah, N., & Papageorgiou, L. G. (2001). Capacity planning under clinical trials uncertainty for the pharmaceutical industry. In Proceedings of the ESCAPE-11 (pp. 865-870).
6. Gatica, G., Shah, N., & Papageorgiou, L. G. (2003). An aggregation approach for capacity planning under uncertainty for the pharmaceutical industry. In I. E. Grossmann, & C. M. McDonald (Eds.), Foundations of Computer-Aided Process Operations (FOCAPO), CACHE (vol. 4, pp. 245-248).
7. Gupta A., Maranas C.D. A hierarchical lagrangean relaxation for solving midterm planning problems. Industrial & Engineering Chemistry Research. 38:1999;1937-1947.
8. Gupta A., Maranas C.D. A two-stage modelling and solution framework for multi-site midterm planning under demand uncertainty. Industrial & Engineering Chemistry Research. 39:2000;2813-3799.
9. Ierapetritou M.G., Pistikopoulos E.N. Novel optimization approach of stochastic planning models. Industrial & Engineering Chemistry Research. 33:1994;1930-1942.
10. Jain V., Grossmann I.E. Resource-constrained scheduling of tasks in new product development. Industrial & Engineering Chemistry Research. 38:1999;3013-3026.
11. Maravelias C.T., Grossmann I.E. Simultaneous planning for new product development and batch manufacturing facilities. Industrial & Engineering Chemistry Research. 40:2001;6147-6164.
12. Mulvey J.M., Ruszczynski A.J. A new scenario decomposition method for large-scale stochastic optimization. Operations Research. 43:1995;477-490.
13. Papageorgiou L.G., Rotstein G.E., Shah N. Strategic supply chain optimization for the pharmaceutical industries. Industrial & Engineering Chemistry Research. 40:2001;275-286.
14. Reeves, C. R. (Ed.) (1995). Modern heuristic techniques for combinatorial problems. London: McGraw-Hill.
15. Rogers M.J., Gupta A., Maranas C.D. Real options based analysis of optimal pharmaceutical research and development portfolios. Industrial & Engineering Chemistry Research. 41:2002;6607-6620.
16. Rotstein G.E., Papageorgiou L.G., Shah N., Murphy D.C., Mustafa R. A product portfolio approach in the pharmaceutical industry. Computers & Chemical Engineering. 23:1999;S883-S886.
17. Samuelsson, J. (1999). Pharmaceutical capacity planning. M.Sc. Thesis. London: Imperial College.
18. Schmidt C.W., Grossmann I.E. Optimization models for the scheduling of testing tasks in new product development. Industrial & Engineering Chemistry Research. 35:1996;3498-3510.
19. Subrahmanyam S., Pekny J.F., Reklaitis G.V. Decomposition approaches to batch plant design and planning. Industrial & Engineering Chemistry Research. 35:1996;1866-1876.
20. Subramanian D., Pekny J.F., Reklaitis G.V. A simulation-optimization framework for addressing combinatorial and stochastic aspects of an R&D pipeline management problem. Computers & Chemical Engineering. 24:2000;1005-1011.
21. Subramanian D., Pekny J.F., Reklaitis G.V., Blau G.E. Simulation-optimization framework for tochastic optimization of R&D pipeline management. American Institute of Chemical Engineering Journal. 49:2003;96-112.
22. Wolsey, L. A. (1998). Integer programming. Chichester: Wiley.