TY - JOUR
T1 - Cutting-tool delivery method in the context of industrial product service systems
AU - Sun, Peilu
AU - Zhang, Chaoyang
AU - Jiang, Pingyu
AU - Cao, Wei
N1 - Publisher Copyright:
© SAGE Publications.
PY - 2016/6/1
Y1 - 2016/6/1
N2 - Nowadays, as the manufacturing outsourcing activities are becoming increasingly explosive, cutting-tools are gradually being considered as a kind of strategical socialized manufacturing resource. Therefore, focusing on cutting-tools, this article proposes a novel cutting-tool service mode called industrial product service system for cutting-tools. Based on industrial product service system for cutting-tools, the methodology of cutting-tool delivery in the context of industrial product service system is further studied, which comprises two sub-models. First, a cutting-tool demand prediction model is established to obtain the types and quantities of cutting-tool demands in the next day from each industrial product service system for cutting-tool customer. Then, the second sub-model is a just-in-time cutting-tool delivery model, wherein, a modified economic order quantity model and genetic algorithm are applied to optimize the delivery time and routing constrained by the delivery time window. Finally, a comprehensive use case is studied to illustrate the feasibility and applicability of the proposed models.
AB - Nowadays, as the manufacturing outsourcing activities are becoming increasingly explosive, cutting-tools are gradually being considered as a kind of strategical socialized manufacturing resource. Therefore, focusing on cutting-tools, this article proposes a novel cutting-tool service mode called industrial product service system for cutting-tools. Based on industrial product service system for cutting-tools, the methodology of cutting-tool delivery in the context of industrial product service system is further studied, which comprises two sub-models. First, a cutting-tool demand prediction model is established to obtain the types and quantities of cutting-tool demands in the next day from each industrial product service system for cutting-tool customer. Then, the second sub-model is a just-in-time cutting-tool delivery model, wherein, a modified economic order quantity model and genetic algorithm are applied to optimize the delivery time and routing constrained by the delivery time window. Finally, a comprehensive use case is studied to illustrate the feasibility and applicability of the proposed models.
KW - cutting-tool delivery
KW - economic order quantity model
KW - genetic algorithm
KW - industrial product service system
KW - manufacturing outsourcing
UR - https://www.scopus.com/pages/publications/84973493511
U2 - 10.1177/1063293X15607366
DO - 10.1177/1063293X15607366
M3 - 文章
AN - SCOPUS:84973493511
SN - 1063-293X
VL - 24
SP - 178
EP - 190
JO - Concurrent Engineering Research and Applications
JF - Concurrent Engineering Research and Applications
IS - 2
ER -