Exploring optimal timing for remanufacturing based on replacement theory

Zhichao Liu; Feri Afrinaldi; Hong Chao Zhang; Qiuhong Jiang

doi:10.1016/j.cirp.2016.04.064

Exploring optimal timing for remanufacturing based on replacement theory

Zhichao Liu, Feri Afrinaldi, Hong Chao Zhang, Qiuhong Jiang

Industrial Engineering

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21 Scopus citations

Abstract

This paper presents a model to determine an optimal timing for remanufacturing from the environmental perspective. Long-run environmental impact per distance travelled L(s_r) is defined based on the replacement theory. In the case study, the Weibull distribution function of crankshaft's time to failure is obtained. The L(s_r) is calculated by dividing the total environmental impact with the distance travelled by the crankshaft. The minimum value of L(s_r) indicates the best long-run environmental benefit. When climate change is selected as an environmental impact indicator, the result shows that the minimum value of L(s_r) is achieved when the crankshaft reaches 1.53 × 10⁵ km.

Original language	English
Pages (from-to)	447-450
Number of pages	4
Journal	CIRP Annals
Volume	65
Issue number	1
DOIs	https://doi.org/10.1016/j.cirp.2016.04.064
State	Published - 2016

Keywords

Fatigue failure
Optimization
Remanufacturing

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10.1016/j.cirp.2016.04.064

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title = "Exploring optimal timing for remanufacturing based on replacement theory",

abstract = "This paper presents a model to determine an optimal timing for remanufacturing from the environmental perspective. Long-run environmental impact per distance travelled L(sr) is defined based on the replacement theory. In the case study, the Weibull distribution function of crankshaft's time to failure is obtained. The L(sr) is calculated by dividing the total environmental impact with the distance travelled by the crankshaft. The minimum value of L(sr) indicates the best long-run environmental benefit. When climate change is selected as an environmental impact indicator, the result shows that the minimum value of L(sr) is achieved when the crankshaft reaches 1.53 × 105 km.",

keywords = "Fatigue failure, Optimization, Remanufacturing",

author = "Zhichao Liu and Feri Afrinaldi and Zhang, {Hong Chao} and Qiuhong Jiang",

note = "Funding Information: The authors gratefully acknowledge the support of SINOTRUK , Jinan Fuqiang Power Co., LTD . and the National Basic Research Program of China (Grant No. 2011CB013406 ). Publisher Copyright: {\textcopyright} 2016 CIRP",

year = "2016",

doi = "10.1016/j.cirp.2016.04.064",

language = "English",

volume = "65",

pages = "447--450",

journal = "CIRP Annals - Manufacturing Technology",

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TY - JOUR

T1 - Exploring optimal timing for remanufacturing based on replacement theory

AU - Liu, Zhichao

AU - Afrinaldi, Feri

AU - Zhang, Hong Chao

AU - Jiang, Qiuhong

N1 - Funding Information: The authors gratefully acknowledge the support of SINOTRUK , Jinan Fuqiang Power Co., LTD . and the National Basic Research Program of China (Grant No. 2011CB013406 ). Publisher Copyright: © 2016 CIRP

PY - 2016

Y1 - 2016

N2 - This paper presents a model to determine an optimal timing for remanufacturing from the environmental perspective. Long-run environmental impact per distance travelled L(sr) is defined based on the replacement theory. In the case study, the Weibull distribution function of crankshaft's time to failure is obtained. The L(sr) is calculated by dividing the total environmental impact with the distance travelled by the crankshaft. The minimum value of L(sr) indicates the best long-run environmental benefit. When climate change is selected as an environmental impact indicator, the result shows that the minimum value of L(sr) is achieved when the crankshaft reaches 1.53 × 105 km.

AB - This paper presents a model to determine an optimal timing for remanufacturing from the environmental perspective. Long-run environmental impact per distance travelled L(sr) is defined based on the replacement theory. In the case study, the Weibull distribution function of crankshaft's time to failure is obtained. The L(sr) is calculated by dividing the total environmental impact with the distance travelled by the crankshaft. The minimum value of L(sr) indicates the best long-run environmental benefit. When climate change is selected as an environmental impact indicator, the result shows that the minimum value of L(sr) is achieved when the crankshaft reaches 1.53 × 105 km.

KW - Fatigue failure

KW - Optimization

KW - Remanufacturing

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DO - 10.1016/j.cirp.2016.04.064

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EP - 450

JO - CIRP Annals - Manufacturing Technology

JF - CIRP Annals - Manufacturing Technology

IS - 1

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Exploring optimal timing for remanufacturing based on replacement theory

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