Probability evaluation models of product disassembly cost subject to random removal time and different removal labor cost

Guangdong Tian; Mengchu Zhou; Jiangwei Chu; Yumei Liu

doi:10.1109/TASE.2011.2176489

Probability evaluation models of product disassembly cost subject to random removal time and different removal labor cost

Guangdong Tian, Mengchu Zhou, Jiangwei Chu, Yumei Liu

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

76 Scopus citations

Abstract

Disassembly is a systematic method to separate an end-of-life product into its constituent parts and components. However, the disassembly process of products can experience great uncertainty due to a variety of unpredictable factors. To deal with such uncertainty, this work proposes a novel probability analysis method of disassembly cost with random removal time and different removal labor cost. According to different constraints and actual execution of disassembly, it presents typical probability evaluation models of disassembly cost. Moreover, a solution algorithm based on stochastic simulation is used to solve the proposed probability models. Some numerical examples are given to illustrate the proposed concepts and the effectiveness of the proposed algorithm.

Original language	English (US)
Article number	6126000
Pages (from-to)	288-295
Number of pages	8
Journal	IEEE Transactions on Automation Science and Engineering
Volume	9
Issue number	2
DOIs	https://doi.org/10.1109/TASE.2011.2176489
State	Published - Apr 2012

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering

Keywords

Algorithm
disassembly
disassembly planning
modeling and simulation

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10.1109/TASE.2011.2176489

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title = "Probability evaluation models of product disassembly cost subject to random removal time and different removal labor cost",

abstract = "Disassembly is a systematic method to separate an end-of-life product into its constituent parts and components. However, the disassembly process of products can experience great uncertainty due to a variety of unpredictable factors. To deal with such uncertainty, this work proposes a novel probability analysis method of disassembly cost with random removal time and different removal labor cost. According to different constraints and actual execution of disassembly, it presents typical probability evaluation models of disassembly cost. Moreover, a solution algorithm based on stochastic simulation is used to solve the proposed probability models. Some numerical examples are given to illustrate the proposed concepts and the effectiveness of the proposed algorithm.",

keywords = "Algorithm, disassembly, disassembly planning, modeling and simulation",

author = "Guangdong Tian and Mengchu Zhou and Jiangwei Chu and Yumei Liu",

note = "Funding Information: Manuscript received June 11, 2011; revised September 19, 2011; accepted November 10, 2011. Date of publication January 09, 2012; date of current version April 03, 2012. This paper was recommended for publication by Associate Editor X. Qi and Editor Y. Narahari upon evaluation of the reviewers{\textquoteright} comments. This work was supported in part by the National Science Foundation of China (NSFC) under Grant 61034004 and the Interdisciplinary Research Foundation of Ph.D. student of Jilin University (2011J013).",

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AU - Tian, Guangdong

AU - Zhou, Mengchu

AU - Chu, Jiangwei

AU - Liu, Yumei

N1 - Funding Information: Manuscript received June 11, 2011; revised September 19, 2011; accepted November 10, 2011. Date of publication January 09, 2012; date of current version April 03, 2012. This paper was recommended for publication by Associate Editor X. Qi and Editor Y. Narahari upon evaluation of the reviewers’ comments. This work was supported in part by the National Science Foundation of China (NSFC) under Grant 61034004 and the Interdisciplinary Research Foundation of Ph.D. student of Jilin University (2011J013).

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N2 - Disassembly is a systematic method to separate an end-of-life product into its constituent parts and components. However, the disassembly process of products can experience great uncertainty due to a variety of unpredictable factors. To deal with such uncertainty, this work proposes a novel probability analysis method of disassembly cost with random removal time and different removal labor cost. According to different constraints and actual execution of disassembly, it presents typical probability evaluation models of disassembly cost. Moreover, a solution algorithm based on stochastic simulation is used to solve the proposed probability models. Some numerical examples are given to illustrate the proposed concepts and the effectiveness of the proposed algorithm.

AB - Disassembly is a systematic method to separate an end-of-life product into its constituent parts and components. However, the disassembly process of products can experience great uncertainty due to a variety of unpredictable factors. To deal with such uncertainty, this work proposes a novel probability analysis method of disassembly cost with random removal time and different removal labor cost. According to different constraints and actual execution of disassembly, it presents typical probability evaluation models of disassembly cost. Moreover, a solution algorithm based on stochastic simulation is used to solve the proposed probability models. Some numerical examples are given to illustrate the proposed concepts and the effectiveness of the proposed algorithm.

KW - Algorithm

KW - disassembly

KW - disassembly planning

KW - modeling and simulation

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Probability evaluation models of product disassembly cost subject to random removal time and different removal labor cost

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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