Multi-plant production planning in capacitated self-configuring two-stage serial systems
This research deals with a capacitated master production planning and capacity allocation problem for a multi-plant manufacturing system with two serial stages in each plant. We consider both cases in which a decoupling buffer is allowed or not between the two stages. Peculiar to the system consider...
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| Vydáno v: | European journal of operational research Ročník 119; číslo 2; s. 451 - 460 |
|---|---|
| Hlavní autor: | |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Amsterdam
Elsevier B.V
01.12.1999
Elsevier Elsevier Sequoia S.A |
| Edice: | European Journal of Operational Research |
| Témata: | |
| ISSN: | 0377-2217, 1872-6860 |
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| Abstract | This research deals with a capacitated master production planning and capacity allocation problem for a multi-plant manufacturing system with two serial stages in each plant. We consider both cases in which a decoupling buffer is allowed or not between the two stages. Peculiar to the system considered is the capability of dynamically self-configuring its layout when buffering is disallowed, in the sense that, for each production run, different parallel machines in the second stage are grouped together and serially connected to a machine in the first stage. Although setup times and costs are considered negligible in our model, yet binary setup variables are introduced in order to account for minimum lot-sizes. The resulting mixed {0,1} linear programming model is solved by means of LP-based heuristic algorithms. The proposed modeling and solution procedure has been applied to problem instances originating from a real-world application, showing good results in practice. |
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| AbstractList | This research deals with a capacitated master production planning and capacity allocation problem for a multi-plant manufacturing system with two serial stages in each plant. We consider both cases in which a decoupling buffer is allowed or not between the two stages. Peculiar to the system considered is the capability of dynamically self-configuring its layout when buffering is disallowed, in the sense that, for each production run, different parallel machines in the second stage are grouped together and serially connected to a machine in the first stage. Although setup times and costs are considered negligible in our model, yet binary setup variables are introduced in order to account for minimum lot-sizes. The resulting mixed {0,1} linear programming model is solved by means of LP-based heuristic algorithms. The proposed modeling and solution procedure has been applied to problem instances originating from a real-world application, showing good results in practice. This study deals with a capacitated master production planning and capacity allocation problem for a multi-plant manufacturing system with two serial stages in each plant. Both cases in which a decoupling buffer is allowed or not between the two stages are considered. Peculiar to the system considered is the capability of dynamically self-configuring its layout when buffering is disallowed, in the sense that, for each production run, different parallel machines in the second stage are grouped together and serially connected to a machine in the first stage. Although setup times and costs are considered negligible in the model, yet binary setup variables are introduced in order to account for minimum proposed modeling and solution procedure has been applied to problem instances originating from a real-world application, showing good results in practice. |
| Author | Vercellis, Carlo |
| Author_xml | – sequence: 1 givenname: Carlo surname: Vercellis fullname: Vercellis, Carlo organization: Dipartimento di Economia e Produzione, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy |
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| Cites_doi | 10.1080/09537289608930394 10.1016/S0925-5273(96)00098-9 10.1016/0377-2217(94)90072-8 10.1016/0377-2217(94)90419-7 10.1057/jors.1988.169 10.1287/mnsc.42.8.1151 10.1287/opre.44.1.21 10.1016/0377-2217(96)00098-7 10.1287/opre.35.3.329 |
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| References | Chandra, Fisher (BIB4) 1994; 72 Fumero, Vercellis (BIB5) 1996; 7 Baker, Powell, Pyke (BIB2) 1990; 3 Kuik, Salomon, van Wassenhove (BIB9) 1994; 75 Bahl, Ritzman, Gupta (BIB1) 1987; 35 Thomas, Griffin (BIB11) 1996; 94 Maes, van Wassenhove (BIB10) 1988; 39 Bartholdi, Eisenstein (BIB3) 1996; 44 Zavadlav, McClain, Thomas (BIB12) 1996; 42 Fumero, Vercellis (BIB6) 1997; 49 Garey, M.R., Johnson, D.S., 1979. Computers and Intractability: A Guide to the Theory of NP-Completeness. Freeman, San Francisco Graves, S.C., Rinnooy Kan, A.H.G., Zipkin, P.H., 1993. Logistic of Production and Inventory. North-Holland, Amsterdam Zavadlav (10.1016/S0377-2217(99)00146-0_BIB12) 1996; 42 Fumero (10.1016/S0377-2217(99)00146-0_BIB6) 1997; 49 10.1016/S0377-2217(99)00146-0_BIB8 Fumero (10.1016/S0377-2217(99)00146-0_BIB5) 1996; 7 Thomas (10.1016/S0377-2217(99)00146-0_BIB11) 1996; 94 Kuik (10.1016/S0377-2217(99)00146-0_BIB9) 1994; 75 Bartholdi (10.1016/S0377-2217(99)00146-0_BIB3) 1996; 44 Maes (10.1016/S0377-2217(99)00146-0_BIB10) 1988; 39 Bahl (10.1016/S0377-2217(99)00146-0_BIB1) 1987; 35 Chandra (10.1016/S0377-2217(99)00146-0_BIB4) 1994; 72 10.1016/S0377-2217(99)00146-0_BIB7 Baker (10.1016/S0377-2217(99)00146-0_BIB2) 1990; 3 |
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| SubjectTerms | Logistics Logistics and production Mathematical programming Multi-level production planning Production planning Studies |
| Title | Multi-plant production planning in capacitated self-configuring two-stage serial systems |
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