Production planning in an assembly system with social and industrial constraints: A dynamic programming approach

被引：2

作者：

Benyoucef, Lyès ^{[1
]}

Jain, Vipul ^{[1
]}

Rezg, Nidhal ^{[1
]}

Xie, Xiaolan ^{[2
]}

机构：

[1] INRIA-Lorraine, COSTEAM-Project, Metz 57000, ISGMP Bat. A, Ile du Saulcy

[2] Department of Healthcare Systems Operation, Ecole Nationale Superieure des Mines de Saint-Etienne (ENSM.SE), Saint-Etienne cedex 2 42023, 158, cours Fauriel

来源：

International Journal of Services Operations and Informatics | 2007年 / 2卷 / 02期

关键词：

Assembly line; Dynamic programming; Production planning; Social and industrial constraints;

D O I：

10.1504/IJSOI.2007.014516

中图分类号：

学科分类号：

摘要：

Production Planning (PP) plays an important role in modern manufacturing enterprises. With more and more restrictions imposed by various labour laws, PP decisions should be made not only based on industrial constraints, such as production capacity and inventory level, but also with respect to social constraints, such as limited use of overtime. Under such conditions, we propose a dynamic programming based approach for solving a class of PP problems with explicit consideration of social constraints. The problem considered in this paper is defined based on a real-life problem proposed by an international automobile industry. The objective is to find a feasible and flexible PP with respect to both industrial and social constraints. In the studied assembly system, PP decisions are made based on the sales forecast, the available production capacity and the current inventory level and with respect to the limited use of non-working days, overtimes and third shifts. Copyright © 2007 Inderscience Enterprises Ltd.

引用

页码：131 / 151

页数：20

共 53 条

[31]

Jones C.H., Parametric production planning, Management Science, 13, pp. 843-866, (1967)

[32]

Kasilingam R.G., Product mix determination in the presence of alternate process plans and stochastic demand, Computers and Industrial Engineering, 29, pp. 249-253, (1995)

[33]

Khouja M., The scheduling of economic lot sizes on volume flexible production systems, International Journal of Production Economics, 1, pp. 73-86, (1997)

[34]

Kira D., Kusy M., Ratika I., A stochastic linear programming approach to hierarchical production planning, Journal of the operational Research Society, 48, pp. 207-211, (1997)

[35]

Lagodimos A.G., Mihitos A.N., Kosmidis V.C., Scheduling a multi-stage fabrication shop for efficient subsequent assembly operations, International Journal of Production Economics, 90, pp. 345-359, (2004)

[36]

Lagodimos A.G., Mihiotis A.N., Overtime vs. regular shift planning decisions in packing shops, International Journal of Production economics, 101, pp. 246-258, (2006)

[37]

Malakooti B., A gradient-based approach for solving hierarchical multi-criteria production planning problems, Computers and Industrial Engineering, 16, pp. 407-417, (1989)

[38]

Metters R., Production planning with stochastic seasonal demand and capacitated production, IIE Transactions, 29, pp. 1017-1029, (1997)

[39]

Nam S.-J., Logendran R., Aggregate production planning: A survey of models and methodologies, European Journal of Operations Research, 61, pp. 255-272, (1992)

[40]

Nguyen P.L., Dupont L., Production management of a steel manufacturing system: A hierarchical planning model, Computers and Industrial Engineering, 25, pp. 81-84, (1993)

← 1 2 3 4 5 6 →