Frontiers of Mechanical Engineering >

2013 , Vol. 8 >Issue 2: 137 - 145

DOI: https://doi.org/10.1007/s11465-013-0251-0

RESEARCH ARTICLE

An assemble-to-order production planning with the integration of order scheduling and mixed-model sequencing

  • Baoxi WANG ,
  • Zailin GUAN ,
  • Yarong CHEN ,
  • Xinyu SHAO ,
  • Ming JIN ,
  • Chaoyong ZHANG
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  • State Key Lab of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Received date: 09 Nov 2012

Accepted date: 05 Mar 2013

Published date: 05 Jun 2013

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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Abstract

For assemble-to-order enterprises, both order scheduling and mixed-model sequencing need to be taken into consideration in the formulation of order-oriented assembly plan. First, determining production priority for the received orders, and then conducting assembly sequence to the mixed-model products in each order. Order scheduling is aimed to ensure order delivery with the optimization goal of minimal total overdue time, while product sequencing is aimed to minimize the makespan so as to meet the requirement on completion time of the order. In the end, the paper establishes a mixed integer programming model based on an industrial case, and makes programming calculation with Xpress-MP to accomplish an order-oriented assembly plan conforming to actual production.

Key words： mixed-model assembly line; assemble-to-order; order scheduling; sequencing

Cite this article

Baoxi WANG , Zailin GUAN , Yarong CHEN , Xinyu SHAO , Ming JIN , Chaoyong ZHANG . An assemble-to-order production planning with the integration of order scheduling and mixed-model sequencing[J]. Frontiers of Mechanical Engineering, 2013 , 8(2) : 137 -145 . DOI: 10.1007/s11465-013-0251-0

Acknowledgements

This work has been supported by MOST( the Ministry of Science & Technology of China) under the Grants No.2012AA040909 & 2012BAH08F04, and by the National Natural Science Foundation of China( Grants No. 51035001, 50825503, & 71271156).

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