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 Joint Maintenance Scheduling and Routing Optimization for Geographically Dispersed Production Systems
Tác giả hoặc Nhóm tác giả: H.S.H. Nguyen, P. Do, B. Iung and H.C. Vu
Nơi đăng: 10th IMA International Conference on Modelling in Industrial Maintenance and Reliability; Số: xx;Từ->đến trang: xxx;Năm: 2018
Lĩnh vực: Kỹ thuật; Loại: Báo cáo; Thể loại: Quốc tế
TÓM TẮT
We develop a joint optimization between maintenance planning based on dynamic grouping approach and maintenance team routing for a geographically dispersed production system (GDPS). First, the interactions between the maintenance planning and routing scheduling are analyzed and formulated. A joint implementation of Local Search Genetic Algorithm (LSGA) and a new maintenance routing algorithm based on Branch and Bound (BAB) is then proposed to solve the joint optimization problem. The uses and advantages of the proposed joint optimization approach are illustrated through a numerical example of a GDPS consisting of fifteen components located in five different sites
ABSTRACT
We develop a joint optimization between maintenance planning based on dynamic grouping approach and maintenance team routing for a geographically dispersed production system (GDPS). First, the interactions between the maintenance planning and routing scheduling are analyzed and formulated. A joint implementation of Local Search Genetic Algorithm (LSGA) and a new maintenance routing algorithm based on Branch and Bound (BAB) is then proposed to solve the joint optimization problem. The uses and advantages of the proposed joint optimization approach are illustrated through a numerical example of a GDPS consisting of fifteen components located in five different sites
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