Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17431
Title: A mixed integer programming model for advanced planning and scheduling (APS)
Authors: Chen, K
Ji, P 
Keywords: Advanced planning and scheduling
Mixed integer programming
MRP
Scheduling
Issue Date: 2007
Publisher: Elsevier
Source: European journal of operational research, 2007, v. 181, no. 1, p. 515-522 How to cite?
Journal: European journal of operational research 
Abstract: 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.
URI: http://hdl.handle.net/10397/17431
ISSN: 0377-2217
EISSN: 1872-6860
DOI: 10.1016/j.ejor.2006.06.018
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