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A Heuristic Approach to Disassembly Scheduling with Assembly Product Structure
Lee, Dong-Ho,Xirouchakis, Paul 한국경영과학회 2002 한국경영과학회 학술대회논문집 Vol.- No.1(2)
Disassembly scheduling is the problem of determining the ordering and disassembly schedules of used products while satisfying the demand of their parts or components over a certain planning horizon. The objective is to minimize the sum of purchase, setup, disassembly operation, and inventory holding costs. This paper considers products with assembly structure, i.e., products without parts commonality, and suggests a heuristic in which an initial solution is obtained in the form of the minimal latest disassembly schedule, and then improved considering tradeoffs among different cost factors. To show the performance of the heuristic suggested in this paper, computational experiments were done on the modified existing examples and the results show that the heuristic can give optimal or very near optimal solutions within very short computation times.
불확실한 수요와 용량제약을 고려한 2 수준 분해일정계획
Hwa-Joong Kim,Paul Xirouchakis 대한산업공학회 2009 대한산업공학회 추계학술대회논문집 Vol.2009 No.10
This paper considers disassembly scheduling, which is the problem of determining the quantity and timing of the end-of-use/life products while satisfying the demand of their parts over a planning horizon. Among various problems for disassembly scheduling, we consider the capacitated problem with the stochastic demand of parts/components obtained from disassembling the products. To solve the problem, we propose a Lagrangean heuristic algorithm, together with an optimal algorithm of the subproblem obtained after Lagrangean decomposition.
Integer Programming Models for Disassembly Scheduling
Lee, Dong-Ho,Kim, Hwa-Joong,Xirouchakis, Paul 한국경영과학회 2003 한국경영과학회 학술대회논문집 Vol.- No.1(1)
Disassembly scheduling is the problem of determining the ordering and disassembly schedules of used or end-of-life products while satisfying the demand of their parts or components over a certain planning horizon. To represent and optimally solve the basic case, i.e., single product type without parts commonality, an integer programming model is suggested for the objective of minimizing the sum of purchase, setup, inventory holding, and disassembly operation costs. Then, the basic model is extended to consider the cases of single and multiple product types with parts commonality. Computational experiments done on the examples obtained from the literature show that the integer programming approach suggested in this paper works well.
제품 사용데이터를 활용한 제품 열화상태 평가 방안에 대한 연구
Shin, Jongho,Jun, Hongbae,Cattaneo, Cedric,Kiritsis, Dimitris,Xirouchakis, Paul 한국CDE학회 2013 한국CDE학회 논문집 Vol.18 No.1
In general, the product is used under several circumstances including environmental and usage conditions. According to the circumstances, the product has various performance degradation processes. In order to optimize the lifecycle of product usage, it is important to observe the degradation process and make suitable decisions on product operations. However, there are not much research works in evaluating the degree of product degradation based on product usage data. Recently, due to emerging ICT (Information and Communication Technology) technologies, it becomes possible to get the product usage data. Based on the gathered data, it is possible to analyze the degree of product degradation. The analysis of product usage data can improve product use and product design with advanced decisions. To this end, this study addresses one approach based on FMEA/FMECA method, called PDMCA (Performance, Degradation Modes and Criticality Analysis) for evaluating product degradation status and making suitable decisions.
제품 사용데이터를 활용한 제품 열화상태 평가 방안에 대한 연구
신종호(Jongho Shin),전홍배(Hongbae Jun),Cedric Cattaneo,Dimitris Kiritsis,Paul Xirouchakis (사)한국CDE학회 2013 한국CDE학회 논문집 Vol.18 No.1
In general, the product is used under several circumstances including environmental and usage conditions. According to the circumstances, the product has various performance degradation processes. In order to optimize the lifecycle of product usage, it is important to observe the degradation process and make suitable decisions on product operations. However, there are not much research works in evaluating the degree of product degradation based on product usage data. Recently, due to emerging ICT (Information and Communication Technology) technologies, it becomes possible to get the product usage data. Based on the gathered data, it is possible to analyze the degree of product degradation. The analysis of product usage data can improve product use and product design with advanced decisions. To this end, this study addresses one approach based on FMEA/FMECA method, called PDMCA (Performance, Degradation Modes and Criticality Analysis) for evaluating product degradation status and making suitable decisions.