TOPSIS-AHP Based Approach for Selection of Reverse Logistics Service Provider: A Case Study of Mobile Phone Industry

Jayant, Arvind; Gupta, Prosenjit; Garg, Suresh; Khan, Muhammad Waris Ali

doi:10.1016/j.proeng.2014.12.458

Cited by 99 publications

(41 citation statements)

References 8 publications

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“…Due to the linguistic variables was used, TOPSIS type-1 is combined with fuzzy set and a numerical solution is presented. Jayant et al (2014) proposed AHP-TOPSIS binary approach for the selection of a 3PL provider that could provide reverse logistics services and applied the model to a mobile phone manufacturing company for the supplier selection study. Which draws attention to the incredible growth of the internet (Büyüközkan et al, 2008), emphasized the need to move from the traditional logistics service to the e-logistics system and applied the binary MCDM method in order to select an e-logistics partner.…”

Section: Literaturementioning

confidence: 99%

Type-2 Fuzzy Topsis Model for Green Third Party Logistics Provider Performance Evaluation

Atasever

Ayvaz

2019

scjournal

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Section: Literaturementioning

confidence: 99%

Type-2 Fuzzy Topsis Model for Green Third Party Logistics Provider Performance Evaluation

Atasever

Ayvaz

2019

scjournal

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“…Thus, according to the previous consideration, the aim of the present paper is to propose a multicriteria supplier assessment model based on AHP-DEMATEL-TOPSIS techniques for supporting the bullwhip effect management within supply chains. Multicriteria approach helps the organization to alleviate inconsistencies in decision-making problems, as argued by several authors (Jayant, Gupta, & Khan, 2014;Jayant, Singh, & Patel, 2011). This paper presents the problem of the bullwhip effect in the real supply chain in the food industry or more detail in pork sector.…”

Section: Introductionmentioning

confidence: 99%

A case of food supply chain management with AHP, DEMATEL, and TOPSIS

Ortíz‐Barrios

Hoz

López‐Meza

et al. 2019

Multi Criteria Decision Anal

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The bullwhip effect leads to considerable inefficiencies along the food supply chain such as missed production schedules, poor customer service, excessive inventory, and misguided capacity plans. To tackle this problem, it is necessary, apart from other interventions, to continuously monitor the performance of food suppliers so that the demand information flow, order batching, transportation planning, and inventory management can be substantially improved. Therefore, supplier assessment has then become critical decision‐making support for identifying and addressing inefficiencies of food providers, which ends up reducing the variation of several key logistics parameters for upstream members of the food supply chain. In addition, such assessment is of multicriteria nature given the presence of several criteria from different domains and various food suppliers. With these considerations in mind, this paper proposes a hybrid approach integrating the analytic hierarchy process (AHP), decision‐making trial and evaluation laboratory (DEMATEL), and the technique for order of preference by similarity to ideal solution (TOPSIS) for evaluating the performance of pork suppliers. Thereby, the economic and operational burden caused by the bullwhip effect throughout the pork supply chain can be alleviated. AHP was first used to determine the criteria and subcriteria weights. Then DEMATEL was applied to assess the interdependence and feedback between the decision elements. Finally, TOPSIS was implemented to discriminate between high‐performance and low‐performance pork suppliers. A case study from the Colombian pork supply chain is presented to validate the proposed approach. The results of this study evidenced that the most important criterion was the “service level” and the most influencing factor was the “financial profile.” In addition, based on the supplier assessment results, improvement plans, and new negotiation, strategies were established for each supplier in order to diminish the bullwhip effect along the pork supply chain.

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“…Huang Wan [11] studied the disposal methods of consumers' used mobile phones through empirical analysis, and envisaged the development prospects of recycling enterprises of used mobile phones. Jayant [12] establishes an index model through analytic hierarchy process to study the recycling industry of used mobile phones. The analysis shows that the best strategy is to provide recycling services by third-party service providers.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Operating Mode of Electronic Product Reverse Supply Chain Based on FAHP

Sun¹

2018

IJIIS

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As a big country of electronic products consumption, China has entered the peak period of electronic products scrapping. At the same time, the renewal of electronic products has also led to the development of reverse supply chain of electronic products. Many electronic products enterprises have also launched their own reverse logistics, but some manufacturers have blindly implemented reverse logistics without reasonable planning, which makes a large number of electronic products failed. Get reasonable recovery. This paper studies the selection of operation modes of reverse supply chain for electronic products, analyses the status quo of waste electronic products recycling, and introduces three common operation modes of reverse logistics, namely self-management mode, alliance mode and outsourcing mode, and analyses and compares the advantages and disadvantages of each operation mode. Combining with the principles of index screening and index system establishment, the evaluation index is screened and integrated, and the evaluation system of reverse logistics selection is constructed. Fuzzy Analytic Hierarchy Process is used to select the operation mode of reverse logistics for waste electronic products, and the feasibility and practicability of this method are verified by demonstration.

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TOPSIS-AHP Based Approach for Selection of Reverse Logistics Service Provider: A Case Study of Mobile Phone Industry

Cited by 99 publications

References 8 publications

Type-2 Fuzzy Topsis Model for Green Third Party Logistics Provider Performance Evaluation

Type-2 Fuzzy Topsis Model for Green Third Party Logistics Provider Performance Evaluation

A case of food supply chain management with AHP, DEMATEL, and TOPSIS

Analysis of Operating Mode of Electronic Product Reverse Supply Chain Based on FAHP

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