Production planning of a multi-site manufacturing system by hybrid modelling: A case study from the automotive industry

International Journal of Production Economics

Volumn 85, Issue 2, 2003, Pages 251-262

  Gnoni, M G ^a   Iavagnilio, R ^a   Mossa, G ^a   Mummolo, G ^a   Di Leva, A ^b  

^a POLITECNICO DI BARI   (Italy)

^b NONE

Author keywords

Hybrid modelling; Production Planning; Supply chain management

Indexed keywords

SUPPLY CHAIN MANAGEMENT;

AUTOMOTIVE INDUSTRY; COMPUTER SIMULATION; DECISION MAKING; LINEAR PROGRAMMING; MANUFACTURE; PROBLEM SOLVING; SCHEDULING; STRATEGIC PLANNING;

PRODUCTION CONTROL;

EID: 0038112232     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-5273(03)00113-0     Document Type: Article

References (29)

1. Aucamp D.C. A lot-sizing policy for production planning with application in MRP. International Journal of Production Research. 25(8):1987;1099-1108.
2. Benedettini, O., Iavagnilio, R., Mossa, G., Mummolo, G., Ranieri, L., 2001. Integrating resource allocation and simulation in project-type production planning and control of supply chains: A case from the aeronautics industry. Special Interest Group (SIG) on Advanced Techniques in Production Planning and Control Aalborg, Denmark, 28-29 August 2001.
3. Bose S., Pekny J.F. A model predictive framework for planning and scheduling problems. A case study of consumer goods supply chain Computers and Chemical Engineering. 24:2000;329-335.
4. Byrne M.D., Bakir M.A. Production planning using a hybrid simulation - analytical approach. International Journal of Production Economic. 59:1999;305-311.
5. Christopher M., Towill D.R. Supply chain migration from lean and functional to agile and customised. Supply Chain Management: An International Journal. 5(4):2000;206-213.
6. Cohen M.H., Lee H.L. Strategic analysis of integrated production-distribution systems. Models and methods Operations Research. 36(2):1988;81-104.
7. Fox M.S., Barbuceanu M., Teigen R. Agent-oriented supply chain management. The International Journal of Flexible Manufacturing Systems. 12:2000;165-188.
8. Frolich M.T., Westbrook R. Arcs of integration. An international study of supply chain strategies Journal of Operations Management. 19:2001;185-200.
9. Fulkerson B. A response to dynamic change in the market place. Decision Support Systems. 21:1997;199-214.
10. Gnoni, M.G., Iavagnilio, R., Mossa, G., Mummolo, G., 2000. Solving a lot sizing and scheduling problem by hybrid modelling. 3rd International Workshop on Advanced Techniques in Production Planning & Control, Florence, February 24-25. Florence University Press, Florence, http://www.unifi.it/e-press/inglese/index_eng.htm.
11. Gopalakrishnan M. A modified framework for modeling set-up carryover in the capacitated lot sizing problem. International Journal of Production Research. 38(14):2000;3421-3424.
12. Gopalakrishnan M., Miller D.M., Schmidt C.P. A framework for modelling setup carryover in the capacitated lot sizing problem. International Journal of Production Research. 33(7):1995;1973-1988.
13. Haag E., Vroom R.W. The application of STEP in the automotive supply chain. Computers in Industry. 31:1996;223-234.
14. Lee, H.L., Billington, C., 1992. Managing supply chain inventory: Pitfalls and opportunities. Sloan Management Review (Spring) 65-75.
15. Mummolo, G., Ranaldo, S., Iavagnilio, R., 1999. Integrating analytic and simulation models for FMS loading and AGV fleet sizing. 3rd International Conference on Engineering Design and Automation, Vancouver, August 1-4, pp. 813-824.
16. Ozdamar L., Birbil S.I. Hybrid heuristic for the capacitated lot sizing and loading problem with setup times and overtime decisions. European Journal of Operational Research. 110:1998;525-547.
17. Petrovic D., Roy R., Petrovic R. Modelling and simulation of a supply chain in an uncertain environment. European Journal of Operational Research. 109:1998;299-309.
18. Pfohl H., Buse H.P. Inter-organizational logistics systems in flexible production networks An organizational capabilities perspective. International Journal of Physical Distribution & Logistic Management. 30(5):2000;388-408.
19. Proff H. Hybrid strategies as a strategic challenge - the case of the German automotive industry. Omega. 28:2000;541-553.
20. Sabri E.H., Beamon B.M. A multi-objective approach to simultaneous strategic and operational planning in supply chain design. Omega. 28:2000;581-598.
21. Shanthikumar J.G., Sargent R.G. A unifying view of simulation/analytic models and modeling. Operations Research. 31(6):1983;1030-1052.
22. Shapiro J.F., Singhal V.M., Wagner S.N. Optimizing the value chain. Interfaces. 22(March/April):1993;65-73.
23. Shobrys D.E., White D.C. Planning, scheduling, and control systems. Why can they not work together? Computers and Chemical Engineering. 24:2000;163-173.
24. Smith-Daniels V.L., Ritzman L.P. A model for lot sizing and sequencing in process industry. International Journal of Production Research. 26(4):1988;647-674.
25. Stevens, G., 1999. The role of logistics and IT in the European enterprise. In: Hadjiconstantinou, E. (Ed.). Quick Response in the Supply Chain. Springer, Berlin.
26. Svensson G. A conceptual framework for the analysis of vulnerability in supply chains. International Journal of Physical Distribution & Logistics Management. 30(9):2000;731-749.
27. Thomas D.J., Griffin P.M. Coordinated supply chain management. European Journal of Operational Research. 94:1996;1-15.
28. Wei J., Krajewsky L. A model for comparing supply chain schedule integration approaches. International Journal of Production Research. 38(9):2000;2099-2123.
29. Wu D.J. Software agents for knowledge management. Coordination in multi-agent supply chains and auctions Experts Systems with applications. 20:2001;51-64.