Optimization Model for Remanufacturing Logistics Network with Fuzzy Parameters

Zhang, Ling; Wang, Zhengxiao; Pan, Xiaohong; Dong, Tianyang

doi:10.1109/icmtma.2010.696

Cited by 5 publications

(4 citation statements)

References 5 publications

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“…The third category of papers utilizes fuzzy programming and some other related techniques to handle the uncertainty of RSCs. Among those we can refer to Qin and Ji (2010) and Zhang et al (2010). They use fuzzy programming to design the product recovery networks.…”

Section: Utilized Techniquesmentioning

confidence: 99%

“…Even though some common denominators can be found, the uncertainties of the design environment vary from one case to another case. Demand (or quantity) uncertainty Zhang et al (2010), Xiao et al (2010), Qin and Ji (2010), Amaro and Barboso-Povoa (2009), Lee and Dong (2009), Chouinard et al (2008), El-Sayed et al (2010, Salema et al (2007), Biehl et al (2007), quality uncertainty (Qin & Ji, 2010 ;Chouinard et al, 2008) price uncertainty (Amaro & Barboso-Povoa, 2009), lead times or timing uncertainty (Lieckens & Vandaele, 2007;Biehl et al, 2007) are some of the investigated uncertainty dimensions of return networks. The modelling efforts to include these uncertainty dimensions vary.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design of demand driven return supply chain for high-tech products

Ashayeri

Tuzkaya

2011

JIEM

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Purpose: The purpose of this study is to design a responsive network for after-sale services of high-tech products.Design/methodology/approach: Analytic Hierarchy Process (AHP) and weighted max-min approach are integrated to solve a fuzzy goal programming model. Findings: Uncertainty is an important characteristic of reverse logistics networks, and the level of uncertainty increases with the decrease of the products' life-cycle.Research limitations/implications: Some of the objective functions of our model are simplified to deal with non-linearities.Practical implications: Designing after-sale services networks for high-tech products is an overwhelming task, especially when the external environment is characterized by high levels of uncertainty and dynamism. This study presents a comprehensive modeling approach to simplify this task.Originality/value: Consideration of multiple objectives is rare in reverse logistics network design literature. Although the number of multi-objective reverse logistics network design studies has been increasing in recent years, the last two objective of our model is unique to this research area.

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Section: Utilized Techniquesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of demand driven return supply chain for high-tech products

Ashayeri

Tuzkaya

2011

JIEM

View full text Add to dashboard Cite

show abstract

“…Even though some common denominators can be found, the uncertainties of the design environment vary from one case to another case. Demand (or quantity) uncertainty Zhang et al (2010), Xiao et al (2010), Qin and Ji (2010), Amaro and Barboso-Povoa (2009), Dong (2009), Chouinard et al (2008), El-Sayed et al (2010), Salema et al (2007), Biehl et al (2007), quality uncertainty (Qin & Ji, 2010 ;Chouinard et al, 2008) price uncertainty (Amaro & Barboso-Povoa, 2009), lead times or timing uncertainty (Lieckens & Vandaele, 2007;Biehl et al, 2007) are some of the investigated uncertainty dimensions of return networks. The modelling efforts to include these uncertainty dimensions vary.…”

mentioning

confidence: 99%

“…The objective of the proposed model is net revenue maximization and the uncertainties on the amount and quality of the returned flows are taken The third category of papers utilizes fuzzy programming and some other related techniques to handle the uncertainty of RSCs. Among those we can refer to Qin and Ji (2010) and Zhang et al (2010). They use fuzzy programming to design the product recovery networks.…”

mentioning

confidence: 99%

Design of Demand Driven Return Supply Chain for High-Tech Products

Ashayeri

Tuzkaya

2010

SSRN Journal

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Abstract:Purpose: The purpose of this study is to design a responsive network for after-sale services of high-tech products. Practical implications: Designing after-sale services networks for high-tech products is an overwhelming task, especially when the external environment is characterized by high levels of uncertainty and dynamism. This study presents a comprehensive modeling approach to simplify this task.Originality/value: Consideration of multiple objectives is rare in reverse logistics network design literature. Although the number of multi-objective reverse logistics network design studies has been increasing in recent years, the last two objective of our model is unique to this research area.Journal of Industrial Engineering and Management -http://dx

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Notice of Retraction: Research trends of network design for closed-loop supply chain

Liu

Juncheng

2011

2011 IEEE 2nd International Conference on Software Engineering and Service Science

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Optimization Model for Remanufacturing Logistics Network with Fuzzy Parameters

Cited by 5 publications

References 5 publications

Design of demand driven return supply chain for high-tech products

Design of demand driven return supply chain for high-tech products

Design of Demand Driven Return Supply Chain for High-Tech Products

Notice of Retraction: Research trends of network design for closed-loop supply chain

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