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A mixed integer programming model for advanced planning and scheduling (APS) [An article from: European Journal of Operational Research]

A mixed integer programming model for advanced planning and scheduling (APS) [An article from: European Journal of Operational Research]

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Authors: K. Chen, P. Ji
Publisher: Elsevier
Category: Book

Buy New: $4.95



Sales Rank: 4379640

Format: Html
Media: Digital
Pages: 7


Publication Date: August 16, 2007
Availability: Available for download now

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Product Description
This digital document is a journal article from European Journal of Operational Research, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
This paper presents a mixed integer programming (MIP) model which succeeds in a system integration of the production planning and shop floor scheduling problems. The proposed advanced planning and scheduling (APS) model explicitly considers capacity constraints, operation sequences, lead times and due dates in a multi-order environment. The objective of the model is to seek the minimum cost of both production idle time and tardiness or earliness penalty of an order. The output of the model is operation schedules with order starting time and finish time. Numerical result shows that the suggested APS model can favorably produce optimal schedules.


 
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