A multi-objective optimisation approach for order management: incorporating activity-based costing in supply chains

Most of the supply chain order management decision making models proposed in the literature are based mainly on the material flow and capacity constraints without any consideration to the profitability factor. In this paper, we develop a multi-objective mixed-integer programming (MIP) model which co...

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Veröffentlicht in:	International journal of production research Jg. 48; H. 17; S. 5007 - 5020
Hauptverfasser:	Khataie, Amirhossein, Defersha, Fantahun M., Bulgak, Akif Asil
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis Group 01.09.2010 Taylor & Francis Taylor & Francis LLC
Schlagworte:	Acceptance Activity based costing Applied sciences Bestellung Decision making Decision making models Decision theory. Utility theory Exact sciences and technology Ganzzahlige Optimierung goal programming Integer programming Inventory control, production control. Distribution Lieferkette Logistics Management Management decisions Mathematical models Mathematical programming mixed-integer programming Operational research and scientific management Operational research. Management science Optimization Optimization techniques Profitability Programming Prozesskostenrechnung Studies Supply chain management Supply chains activity-based costing Profitability Decision support system Material flow Decision making Multiobjective programming Partial ordering Mixed integer programming Order picking Modeling Goal programming Production management supply chain management mixed-integer programming Capacity constraint Cost analysis Manufacturing cost Logistics
ISSN:	0020-7543, 1366-588X
Online-Zugang:	Volltext
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