Balancing responsiveness and economics in process supply chain design with multi-echelon stochastic inventory

AIChE Journal

Volumn 57, Issue 1, 2011, Pages 178-192

  You, Fengqi ^a   Grossmann, Ignacio E ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Guaranteed service time; Inventory control; MINLP; Responsiveness; Safety stock; Supply chain design

Indexed keywords

GUARANTEED SERVICE; MINLP; RESPONSIVENESS; SAFETY STOCK; SUPPLY CHAIN DESIGN;

ACETIC ACID; DESIGN; INTEGER PROGRAMMING; INVENTORY CONTROL; STRUCTURAL OPTIMIZATION; SUPPLY CHAIN MANAGEMENT;

SUPPLY CHAINS;

EID: 78650047561     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.12244     Document Type: Article

References (37)

1. Varma VA, Reklaitis GV, Blau GE, Pekny JF. Enterprise-wide modeling and optimization: an overview of emerging research challenges and opportunities. Comput Chem Eng. 2007; 31: 692-711.
2. Fisher ML. What is the right supply chain for your product? Harvard Bus Rev. 1997; 752: 105-116.
3. Grossmann IE. Enterprise-wide optimization: a new frontier in process systems engineering. AIChE J. 2005; 51: 1846-1857.
4. You F, Grossmann IE. Optimal design and operational planning of responsive process supply chains. In: Papageorgiou L. G., Georgiadis M. C., editors. Process System Engineering: Volume 3: Supply Chain Optimization. Weinheim: Wiley-VCH, 2010: 56: 419-440.
5. You F, Grossmann IE. Design of responsive supply chains under demand uncertainty. Comput Chem Eng. 2008; 3212: 2839-3274.
6. Sabath R. Volatile demand calls for quick response. Int J Phys Distrib Logist Manage. 1998; 289: 698-704.
7. Rotstein G, Shah N, Sorensen E, Macchietto S, Weiss RA. Analysis and design of paint manufacturing processes. Comput Chem Eng. 1998; 22: S279-S282.
8. Shah N. Process industry supply chains: advances and challenges. Comput Chem Eng. 2005; 296: 1225-1236.
9. Shah N. Pharmaceutical supply chains: key issues and strategies for optimization. Comput Chem Eng. 2004; 286: 929-941.
10. Tahmassebi T. Issues in the management of manufacturing complexity. Comput Chem Eng. 1999; 23S: S907-S910.
11. Voudouris VT. Mathematical programing techniques to debottleneck the supply chain of fine chemical industries. Comput Chem Eng. 1996; 20: S1269-S1274.
12. Minner S. Multiple-supplier inventory models in supply chain management: a review. Int J Prod Econ. 2003; 81-82: 265-279.
13. Minner S. Strategic safety stocks in reverse logistics supply chains. Int J Prod Econ. 2001; 71: 417-428.
14. Inderfurth K, Minner S. Safety stocks in multi-stage inventory systems under different service measures. Eur J Oper Res. 1998; 106: 57-73.
15. Inderfurth K. Valuation of leadtime reduction in multi-stage production systems. In: Fandel G, Gulledge T, Jones A, editors. Operations Research in Production Planning and Inventory Control. Springer: Berlin, Germany, 1993: 413-427.
16. Inderfurth K. Safety stock optimization in multi-stage inventory systems. Int J Prod Econ. 1991; 24: 103-113.
17. Graves SC, Willems SP. Supply chain design: safety stock placement and supply chain configuration. In: de Kok AG, Graves SC, editors. Handbooks in Operations Research and Management Science. North-Holland, Amsterdam: Elsevier, 2003; 11: 95-132.
18. Graves SC, Willems SP. Optimizing strategic safety stock placement in supply chains. Manuf Serv Oper Manage. 2000; 21: 68-83.
19. Graves SC. Safety stocks in manufacturing systems. J Manuf Oper Manage. 1988; 1: 67-101.
20. You F, Grossmann IE. Integrated multi-echelon supply chain design with inventories under uncertainty: MINLP models, computational strategies. AIChE J. 2010; 56: 419-440.
21. You F, Grossmann IE. Mixed-integer nonlinear programing models and algorithms for large-scale supply chain design with stochastic inventory management. Ind Eng Chem Res. 2008; 4720: 7802.
22. Zipkin PH. Foundations of Inventory Management. Boston, MA: McGraw-Hill, 2000.
23. Graves SC, Willems SP. Optimizing the supply chain configuration for new products. Manage Sci. 2005; 518: 1165-1180.
24. Little JDC. A proof of the queueing formula L = λW. Oper Res. 1961; 9: 383-387.
25. Christopher M, Towill D. An integrated model for the design of agile supply chains. Int J Phys Distrib Logist Manage. 2001; 31: 235-246.
26. Holweg M. The three dimensions of responsiveness. Int J Oper Prod Manage. 2005; 25: 603-622.
27. Savelsbergh M, Song J-H. Inventory routing with continuous moves. Comput Oper Res. 2007; 346: 1744-1763.
28. Campbell AM, Clarke LW, Savelsbergh MWP. Inventory routing in practice. In: Toth P, Vigo D, editors. The Vehicle Routing Problem. Philadelphia, PA: SIAM, 2001: 309-330.
29. Hübner R. Strategic Supply Chain Management in Process Industries: An Application to Specialty Chemicals Production Network Design. Heidelberg: Springer-Verlag, 2007.
30. Glover F. Improved linear integer programming formulations of nonlinear integer problems. Manage Sci. 1975; 224: 455-460.
31. Mitra K, Gudi RD, Patwardhan SC, Sardar G. Midterm supply chain planning under uncertainty: a multiobjective chance constrained programming framework. Ind Eng Chem Res. 2008; 4715: 5501-5511.
32. Chen C-L, Lee W-C. Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices. Comput Chem Eng. 2004; 28: 1131-1144.
33. Cheng L, Subrahmanian EWAW. Multi-objective decisions on capacity planning and production: inventory control under uncertainty. Ind Eng Chem Res. 2004; 439: 2192-2208.
34. Raj TS, Lakshminarayanan S. Multiobjective optimization in multiechelon decentralized supply chains. Ind Eng Chem Res. 2008; 4717: 6661-6671.
35. Dimkou T, Papalexandri K. A parametric optimization approach for multiobjective engineering problems involving discrete decisions. Comput Chem Eng. 1998; 22S: S951-S954.
36. Dua V, Pistikopoulos E. Parametric optimization in process systems engineering: theory and algorithms. Proc Ind Natl Sci Acad. 2003; 693: 429-444.
37. Eppen G. Effects of centralization on expected costs in a multi-echelon newsboy problem. Manage Sci. 1979; 25: 498-501.