TY - JOUR
T1 - Optimal single-machine batch scheduling for the manufacture, transportation and JIT assembly of precast construction with changeover costs within due dates
AU - Kong, Liulin
AU - Li, Heng
AU - Luo, Hanbin
AU - Lieyun, Ding
AU - Luo, Xiaochun
AU - Skitmore, Martin
N1 - Funding Information:
The presented work has been supported by National Natural Science Foundation of China (No.51678265) and the Joint Supervision Scheme of the Hong Kong Polytechnic University with the Chinese Mainland, Taiwan and Macao Universities (G-SB60).
Publisher Copyright:
© 2017
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2017/9/1
Y1 - 2017/9/1
N2 - The manufacture, transportation and on-site assembly sectors of precast construction projects are often considered separately and managed by rule of thumb, causing an inefficient use of resources and postponed delivery. This study views these sectors as a whole from the perspective of a single machine batch-scheduling problem. A dynamic programming algorithm, which aims to search for solutions that entail maximum production efficiency, was developed accordingly with the constraints of changeover costs and production deadlines. We tested the method's ability by processing as many products as possible simultaneously using real data collected from a precast factory in a simulation and compared the effect with a previous study. We found that our method possesses great potential to improve the efficiency of precast production.
AB - The manufacture, transportation and on-site assembly sectors of precast construction projects are often considered separately and managed by rule of thumb, causing an inefficient use of resources and postponed delivery. This study views these sectors as a whole from the perspective of a single machine batch-scheduling problem. A dynamic programming algorithm, which aims to search for solutions that entail maximum production efficiency, was developed accordingly with the constraints of changeover costs and production deadlines. We tested the method's ability by processing as many products as possible simultaneously using real data collected from a precast factory in a simulation and compared the effect with a previous study. We found that our method possesses great potential to improve the efficiency of precast production.
UR - http://www.scopus.com/inward/record.url?scp=85019907850&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2017.03.016
DO - 10.1016/j.autcon.2017.03.016
M3 - Article
AN - SCOPUS:85019907850
SN - 0926-5805
VL - 81
SP - 34
EP - 43
JO - Automation in Construction
JF - Automation in Construction
ER -