Plant co-ordination in pharmaceutics supply networks

OR Spectrum

Volumn 25, Issue 1, 2003, Pages 109-141

  Grunow, M ^a   Gunther H O ^a   Yang, G ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

Aggregation techniques; Hierarchical production planning; Mixed integer linear programming model; Pharmaceutical industry; Supply network planning

Indexed keywords

EID: 1342290327     PISSN: 01716468     EISSN: 14366304     Source Type: Journal    
DOI: 10.1007/s00291-002-0117-z     Document Type: Article

References (45)

1. Bassett MH, Dave P, Doyle III FJ, Kudva GK, Pekny FJ, Reklaitis GV, Subrahmanyam S, Miller DL, Zentner MG (1996a) Perspectives on model based integration of process operations. Computers and Chemical Engineering 20: 821-844
2. Bassett MH, Pekny FJ, Reklaitis GV (1996b) Decomposition techniques for the solution of large-scale scheduling problems. AIChE Journal 42: 3373-3387
3. Berning G, Brandenburg M, Gürsoy K, Mehta V, Tölle FJ (2002) An integrated system solution for supply chain optimization in the chemical process industry. OR Spectrum 24: 371-402
4. Blömer F (1999) Produktionsplanung und -Steuerung in der chemischen Industrie. Gabler - Deutscher Universitäts Verlag, Wiesbaden (in German)
5. Blömer F, Günther HO (1998) Scheduling of a multi-product batch process in the chemical industry. Computers in Industry 36: 245-259
6. Blömer F, Günther HO (2000) LP-based heuristics for scheduling chemical batch processes. International Journal of Production Research 38: 1029-1051
7. Dimitriadis, AD, Shah N, Pantelides CC (1997) RTN based rolling horizon algorithms for medium-term scheduling of multipurpose plants. Computers and Chemical Engineering S21: S1061-S1066
8. Grossmann IE, Quesada I, Raman R, Voudouris VT (1996) Mixed-integer optimization techniques for the design and scheduling of batch processes. In: Reklaitis V, Sunol AK, Rippin DWT, and Hortacsu O (eds) Batch processing systems engineering, pp 451-494. Springer, Berlin Heidelberg New York
9. Grunow M, Günther HO, Lehmann M (2002) Campaign planning for multi-stage batch processes in the chemical industry. OR Spectrum 24: 281-314
10. Hui CW, Gupta, A (2000) A novel MILP formulation for short term-scheduling of multistage multi-product batch plants. Computers and Chemical Engineering 24: 1611-1617
11. Hui CW, Gupta A, van der Meulen HAJ (2000) A novel MILP formulation for short term-scheduling of multi-stage multi-product batch plants with sequence dependent constraints. Computers and Chemical Engineering 24: 2705-2717
12. Iyer RR, Grossmann IE (1998) A bilevel decomposition algorithm for long range planning of process networks. Industrial and Chemical Engineering Research 37: 474-481
13. Kallrath J (2002a) Combined strategic and operational planning - A MILP success story in chemical industry. OR Spectrum 24: 315-341
14. Kallrath J (2002b) Planning and scheduling in the process industry. OR Spectrum 24: 219-250
15. Kim SB, Lee HK, Lee IB, Lee ES, Lee B (2000) Scheduling of non-sequential multipurpose batch processes under finite intermediate storage policy. Computers and Chemical Engineering 24: 1603-1610
16. Kondili E, Pantelides CC, Sargent RWH (1993) A general algorithm for short-term scheduling of batch operations - I. MILP formulation. Computers and Chemical Engineering 17: 211-227
17. Lin X, Floudas CA (2001) Design, synthesis and scheduling of multipurpose batch plants via an effective continuous-time formulation. Computers and Chemical Engineering 25: 665-674
18. Liu ML, Sahinidis NV (1995) Computational trends and effects of approximations in an MILP model for process planning. Industrial and Chemical Engineering Research 34: 1662-1673
19. Maravelias CT Grossmann IE (2001) Simultaneous planning for new product development and batch manufacturing facilities. Industrial and Chemical Engineering Research 40: 6147-6164
20. McDonald CM, Karimi IA (1997) Planning and scheduling of parallel semicontinuous processes. 1. Production planning. Industrial and Chemical Engineering Research 36: 2691-2700
21. Mendez CA, Cerda J (2000) Optimal scheduling of a resource-constrained multiproduct batch plant supplying intermediates to nearby end-product facilities. Computers and Chemical Engineering 24: 369-376
22. Mendez CA, Cerda J (2002) An MILP-based approach to the short-term scheduling of make-and-pack continuous production plants. OR Spectrum 24: 403-430
23. Mendez CA, Henning GP, Cerda J (2000) Optimal scheduling of batch plants satisfying multiple product orders with different due-dates. Computers and Chemical Engineering 24: 2223-2245
24. Mendez CA, Henning GP, Gerda J (2001) A MILP continuous time approach to short-term scheduling of resource-constrained multistage flowshop batch facilities. Computers and Chemical Engineering 25: 701-711
25. Mockus L, Reklaitis GV (1997) Mathematical programming formulation for scheduling of batch operations based on nonuniform time discretization. Computers and Chemical Engineering 21: 1147-1156
26. Neumann K, Schwindt C, Trautmann N (2002) Advanced production scheduling for batch plants in process industries. OR Spectrum 24: 251-279
27. Norton LC, Grossmann IE (1994) Strategic planning model for complete process flexibility. Industrial and Chemical Engineering Research 33: 69-76
28. Orcun S, Altinel IK, Hortacsu Ö (2001) General continuous time models for production planning and scheduling of batch processing plants: mixed integer linear programming formulations and computational issues. Computers and Chemical Engineering 25: 371-389
29. Oxe G (1997) Reducing overcapacity in chemical plants by linear programming. European Journal of Operational Research 97: 337-347
30. Papageorgiou LG, Rotstein GE, Shah N (2001) Strategic supply chain optimisation for the pharmaceutical industries. Industrial and Chemical Engineering Research 40: 275-286
31. Papageorgiou LG, Pantelides CC (1996a) Optimal campaign planning/scheduling of multipurpose batch/semicontinuous plants. 1. Mathematical formulation. Industrial and Chemical Engineering Research 35: 488-509
32. Papageorgiou LG, Pantelides CC (1996b) Optimal campaign planning/scheduling of multi-purpose batch/semicontinuous plants. 2. A mathematical decomposition approach. Industrial and Chemical Engineering Research 35: 510-529
33. Pinto JM, Grossmann IE (1994) Optimal cyclic scheduling of multistage continuous multi-product plants. Computers and Chemical Engineering 18: 797-816
34. Pinto JM, Türkay A., Bolio B, Grossmann IE (1998) STBS: A continuous time MILP optimization for short-term scheduling of batch plants. Computers and Chemical Engineering 22: 1297-1308
35. Sahinidis NV, Grossmann IE (1991) Reformulation of multiperiod MILP models for planning and scheduling of chemical processes. Computers and Chemical Engineering 15: 255-272
36. Sahinidis NV, Grossmann IE, Fomari RE, Chathrathi M (1989) Optimization model for long range planning in the chemical industry. Computers and Chemical Engineering 13: 1049-1063
37. Schilling G, Pantelides CC (1996) A simple continuous time process scheduling formulation and a novel solution algorithm. Computers and Chemical Engineering S20, S1221-S1226
38. Schwindt C, Trautmann N (2000) Batch scheduling in process industries: an application of resource-constrained project scheduling. OR Spektrum 22: 501-524
39. Shah N (1998) Single- and multisite planning and scheduling: Current status and future challenges. AIChE Symposium Series No. 320 94: 75-90
40. Timpe CH (2002) Solving planning and scheduling problems with combined integer and constraint programming. OR Spectrum 24: 431-448
41. Timpe CH and Kallrath J (2000) Optimal planning in large multi-site production networks. European Journal of Operational Research 126: 422-435
42. Wilkinson SJ, Shah N, Pantelides, CC (1995) Aggregate modelling of multipurpose batch plant operation. Computers and Chemical Engineering S19: S583-S588
43. Wilkinson SJ, Cortier A, Shah N, Pantelides, CC (1996) Integrated production and distribution scheduling on a Europe-wide basis. Computers and Chemical Engineering S20: S1275-S1280
44. Zentner MG, Peckny JF, Reklaitis, GV, Gupta JND (1994) Practical considerations in using model based optimization for the scheduling and planning of batch/semicontinous processes. Journal of Process Control 4: 259-280
45. Zentner MG, Reklaitis GV (1996) An interval-based mathematical model for the scheduling of resource-constrained batch chemical processes. In: Reklaitis V, Sunol AK, Rippin DWT, Hortacsu O (eds) Batch processing systems engineering, pp. 779-807. Springer, Berlin Heidelberg New York