TY - JOUR
T1 - A hybrid heuristic algorithm for integrated problem of machine scheduling and unidirectional flow path design
AU - Zheng, Yan
AU - Xiao, Yujie
AU - Seo, Yoonho
N1 - Funding Information:
Acknowledgement: This research is supported by the National Natural Science Foundation of China (Grant No. 71501090), the Natural Science Foundation of Jiangsu Higher Education Institutions of China (Grant No. 14KJD410001), the Foundation for Advanced Degree Talents of Nanjing Forestry University (Grant No. GXL032) and the National Natural Science Foundation of China (Grant No. 61403204).
Publisher Copyright:
© 2015 International Journal of Industrial Engineering.
PY - 2015
Y1 - 2015
N2 - During the past few decades, unidirectional flow path design (UFD) and machines scheduling (MS) problems have been wellstudied separately. However, only considering UFD or MS cannot guarantee the global optimal solution for the whole production. The reason is that UFD and MS are two correlated issues in the real production situation. This paper is to propose a new integrated model, called iUFD/MS, with the objective of minimizing makespan. In iUFD/MS, UFD and MS problems are simultaneously considered. Due to the high complexity of iUFD/MS, a hybrid heuristic algorithm based on the particle swarm optimization is developed to get an optimal or near-optimal solution within a reasonable time period. To validate our integrated model, a set of experiments is solved by applying the proposed solution method and the traditional method, respectively. The result shows that our integrated model can efficiently reduce makespan by 8.9% on average.
AB - During the past few decades, unidirectional flow path design (UFD) and machines scheduling (MS) problems have been wellstudied separately. However, only considering UFD or MS cannot guarantee the global optimal solution for the whole production. The reason is that UFD and MS are two correlated issues in the real production situation. This paper is to propose a new integrated model, called iUFD/MS, with the objective of minimizing makespan. In iUFD/MS, UFD and MS problems are simultaneously considered. Due to the high complexity of iUFD/MS, a hybrid heuristic algorithm based on the particle swarm optimization is developed to get an optimal or near-optimal solution within a reasonable time period. To validate our integrated model, a set of experiments is solved by applying the proposed solution method and the traditional method, respectively. The result shows that our integrated model can efficiently reduce makespan by 8.9% on average.
KW - Flexible process plans
KW - Flow path design
KW - Integrated problem
KW - Machine scheduling
KW - Particle swarm optimization
UR - http://www.scopus.com/inward/record.url?scp=84962361628&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84962361628
SN - 1072-4761
VL - 22
SP - 717
EP - 728
JO - International Journal of Industrial Engineering : Theory Applications and Practice
JF - International Journal of Industrial Engineering : Theory Applications and Practice
IS - 6
ER -