Resource portfolio planning of make-to-stock products using a constraint programming-based genetic algorithm

The investment on facilities for manufacturing high-tech products requires a large amount of capital. Even though the demands of such products change dramatically, a company is forced to implement some make-to-stock policies apart from a regular make-to-order production, so that the capacity of expe...

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Veröffentlicht in:	Omega (Oxford) Jg. 35; H. 2; S. 237 - 246
Hauptverfasser:	Wang, S.M., Chen, J.C., Wang, K.-J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Exeter Elsevier Ltd 01.04.2007 Elsevier Elsevier Science Publishers Pergamon Press Inc
Schriftenreihe:	Omega
Schlagworte:	Applied sciences Capacity planning Capacity planning Resource portfolio Genetic algorithm Capital assets Decision theory. Utility theory Exact sciences and technology Genetic algorithm Genetic algorithms High technology Inventory control Management Manufacturing Materials handling Mathematical programming Operational research and scientific management Operational research. Management science Portfolio theory Resource portfolio Studies Resource portfolio Genetic algorithm Capacity planning Backorder Procurement Multiple machine Make to order Decision making Resource allocation Linear programming Mixed integer programming Capital Long term Constrained optimization Innovation Stock exchange Budget Profit Revenue Production capacity Planning Make to stock Timing Investment
ISSN:	0305-0483, 1873-5274
Online-Zugang:	Volltext
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