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Green and Reverse Logistics Management Under Fuzziness

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Supply Chain Management Under Fuzziness

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 313))

Abstract

Green supply chain management (GrSCM) has its roots in supply chain management (SCM) and environmental management. In fact, adding “green” concept into traditional SCM leads to studying environmental impact of SCM-related processes. Logistics activities which form the main part of SCM-related processes belong to the most influential sources of environmental pollution and greenhouse emissions which may cause harmful impacts both on human health and ecosystem quality. In order to reduce hazardous environmental impacts of logistics activities, the concept of green logistics (GrLog) and reverse logistics (RL) was introduced. Similar to traditional supply chain, uncertainty plays an important role in GrSCM; however, considering the environmental factors beside the quantity and quality of end-of-life products elevates the degree of uncertainty in GrLog and RL problems. In this chapter, designing and planning problems in GrLog and RL are investigated in a fuzzy environment via a systematic review and analysis of recent literature. Three selected fuzzy mathematical models from the recent literature are elaborated. A real industrial green logistics case study is described and investigated and a number of avenues for further research are finally suggested.

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Authors and Affiliations

  1. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

    Mohammad Mousazadeh & S. Ali Torabi

  2. School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

    Mir Saman Pishvaee

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  1. Mohammad Mousazadeh
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  2. S. Ali Torabi
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Correspondence to S. Ali Torabi .

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  1. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Başar Öztayşi

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Mousazadeh, M., Torabi, S., Pishvaee, M.S. (2014). Green and Reverse Logistics Management Under Fuzziness. In: Kahraman, C., Öztayşi, B. (eds) Supply Chain Management Under Fuzziness. Studies in Fuzziness and Soft Computing, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53939-8_26

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