Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
483048 | European Journal of Operational Research | 2007 | 8 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Kejia Chen, Ping Ji,