Translated Title
A Mixed Integer Programming Model for Advanced Planning and Scheduling in a Supply Chain
Translated Abstract
This paper presented a mixed integer programming model for APS problem in a supply chain. The proposed APS model considered explicitly capacity constraints, operation sequences, alternative machines and due dates in a multi-enterprise environment. The objective of the model was to minimize the earliness/tardiness penalty for all orders. Numerical results show that the suggested APS model can produce optimal schedules favorably.
Translated Keyword
advanced planning and scheduling (APS)
earliness/tardiness
mixed inte-ger programming
supply chain
Access Number
WF:perioarticalzgjxgc201214014
