scholarly journals Prioritizing the Solutions to Reverse Logistics Barriers for the E-Commerce Industry in Pakistan Based on a Fuzzy AHP-TOPSIS Approach

2021 ◽  
Vol 13 (22) ◽  
pp. 12743
Author(s):  
Muhammad Hamza Naseem ◽  
Jiaqi Yang ◽  
Ziquan Xiang
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Reverse Logistics ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Fuzzy Topsis ◽  
Extensive Literature ◽  
Forward Logistics ◽  
Reverse Logistics Management ◽  
Topsis Approach

In the past few years, reverse logistics practices have successfully managed to gain more attention in various industries and among supply chain researchers and experts. This is due to globalization, environmental concerns, and customer requirements, which have asserted industries’ concerns for reverse logistics management. In E-commerce, the process of reverse logistics originates with parcel refusal, undelivered goods, and exchanges. In developing countries like Pakistan, the adoption and implications of reverse logistics are still at their early stages. E-commerce companies give more attention to forward logistics and ignore logistics’ upstream flow in the supply chain. This study aims to identify, as well as list, the barriers and obtain the solutions to those identified barriers, and rank the barriers and their solutions so that logisticians and experts can solve them as per their priority. From the extensive literature review and experts’ opinions, we have found 14 barriers in implementing effective reverse logistics. Eight solutions to those barriers were also found from the literature review. This paper proposed the methodology based on fuzzy analytical hierarchy process (fuzzy-AHP), which used to get the weights of each barrier by using pairwise comparison, and fuzzy technique for order performance by similarity to ideal solution (fuzzy-TOPSIS) method, which was adopted for the final ranking of solutions to reverse logistics. The case of the Pakistan E-commerce industry is used in the proposed method.

scholarly journals Strategic sourcing: Developing a progressive framework for make-or-buy decisions

2020 ◽  
Vol 13 (1) ◽  
pp. 133
Author(s):  
Rubén Medina-Serrano ◽  
Reyes González-Ramírez ◽  
Jose Gasco-Gasco ◽  
Juan Llopis-Taverner
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Graphical Representation ◽  
Qualitative Interviews ◽  
Pairwise Comparison ◽  
Decision Matrix ◽  
Pairwise Comparison Matrix ◽  
Chain Management ◽  
Strategic Sourcing

Purpose: Make-or-buy decisions represent a critical dilemma faced by many firms. The appropriate decision between designing and manufacturing parts or services in-house, buying them from external providers or combining both is a fundamental firm process. This paper seeks to address this question by updating the traditional make-or-buy literature with new academic insights, developing a make-or-buy framework with a tool for its operationalisation to help managers evaluate sourcing decisions.Design/methodology/approach:  First, a literature review of the principal theories and approaches about make-or-buy decisions is discussed. Second, the development of the make-or-buy framework is described and explained based on the results of qualitative interviews with practitioners and a set of interviews of an in-firm case study. Third, the results and the implementation of the framework are outlined.Findings: Our study not only validates the proposed framework through a set of in-firm make-or-buy decisions, but also provides a structure for its implementation and design a decision matrix with a pairwise comparison tool for helping practitioners to put the framework into practice.Research limitations/implications: This paper aims to contribute to the study of the make-or-buy literature in supply chain management through the graphical representation of why and how make-or-buy decisions are made. Interestingly, the paper presents relevant dimensions and factors to be studied and evaluates possible outcomes when approaching make-or-buy decisions.Originality/value: Our results suggest that practitioners should combine this framework with a pairwise comparison matrix and a multi-criteria decision analysis based on the TOPSIS methodology to assess strategic sourcing decisions.

Assessing the feasibility of blockchain technology in industries: evidence from Turkey

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismail Erol ◽  
Ilker Murat Ar ◽  
Ali Ihsan Ozdemir ◽  
Iskender Peker ◽  
Ali Asgary ◽  
...  
Keyword(s):  
Supply Chain ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Content Type ◽  
Blockchain Technology ◽  
Consulting Firms ◽  
Utmost Care ◽  
The Right ◽  
Agriculture And Food

PurposeThe objective of this study is to assess quantitatively how feasible blockchain is for various industries, such as logistics and supply chain, health, energy, finance, automotive, pharmaceutical and agriculture and food using a comprehensive list of indicators.Design/methodology/approachA decision aid was applied to the problem of identifying the feasibility of blockchain in Turkish industries. To this end, first, a set of indicators was identified. Then, the fuzzy AHP and fuzzy TOPSIS were utilized to assess the feasibility comparatively using the data gathered from a group of experts. Finally, a scenario analysis was conducted to ensure the consistency of our evaluation.FindingsThe findings of this study suggest that comparatively, logistics and supply chain, finance and health industries are the most feasible industries for blockchain. This study further suggests that blockchain is the least feasible for the automotive industry compared to the rest of the identified industries.Research limitations/implicationsIt is cumbersome to find out the respondents who have sufficient knowledge of both blockchain and the identified industries. Even if we took the utmost care in identifying the right respondents, we limited our search to the biggest industrial hubs of Turkey.Practical implicationsThe findings of this research may help various decision-makers employed in governments, conglomerates, software and consulting firms and national research institutions make more informed decisions and allocate their resources more effectively.Originality/valueTo this date, the current studies have solely investigated possible research opportunities in blockchain and demonstrated several blockchain applications in stand-alone cases. To the best of our knowledge, however, no single study exists that evaluates the feasibility of blockchain comparatively and holistically among a group of industries using various indicators.

A Modified Balanced Scorecard Based Hybrid Pythagorean Fuzzy AHP-Topsis Methodology for ATM Site Selection Problem

2020 ◽  
Vol 19 (02) ◽  
pp. 365-384 ◽  
Author(s):  
Aslihan Yildiz ◽  
Ertugrul Ayyildiz ◽  
Alev Taskin Gumus ◽  
Coskun Ozkan
Keyword(s):  
Balanced Scorecard ◽  
Delphi Method ◽  
Site Selection ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Fuzzy Topsis ◽  
Selection Problem ◽  
Modified Delphi Method ◽  
Modified Delphi ◽  
Comparison Results

Researchers work on facility location problems in different structures and solve them by developing different models over the years. In this study, we focus on the automated teller machine (ATM) site selection problem for a public bank in İstanbul. Twenty-five districts, which are located at the European side of İstanbul, are designated as ATM candidate districts. The balanced scorecard (BSC) model is modified to determine the criteria according to the literature review and experts’ judgments for this problem. Internal, Customer, and Financial perspectives of the traditional BSC model are used as the main criteria and an external perspective is considered as the fourth criterion for modified balanced scorecard. The experts’ criteria evaluations are gained and consolidated by the Modified Delphi Method. The criteria weights are determined by the Pythagorean Fuzzy-AHP method using the final pairwise comparison results obtained from the Modified Delphi Method. Subsequently, the Pythagorean Fuzzy TOPSIS method is applied to determine the best alternative site among alternatives to locate the ATM according to these criteria. Finally, the results are presented and discussed by sensitivity analysis.

scholarly journals A Hybrid Approach Based on Fuzzy TOPSIS-AHP for Ranking and Classifying MOOC Key Acceptance Factors

2021 ◽  
Vol 16 (5) ◽  
pp. 1-20
Author(s):  
Neeraj Chopra ◽  
Rajiv Sindwani ◽  
Manisha Goel
Keyword(s):  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Online Course ◽  
Effective Management ◽  
Massive Open Online Course ◽  
Topsis Approach ◽  
Indian Perspective ◽  
Acceptance Factors

This investigation is done during COVID-19 to identify, rank, and classify MOOC (massive open online course) key acceptance factors (KAFs) from an Indian perspective. A systematic literature review identifies 11 KAFs of MOOC. One more novel factor named ‘contingent instructor' is proposed by the authors considering pandemic and new normal post-COVID-19. The paper implements two popular fuzzy MCDM (multiple-criteria decision-making) techniques, namely fuzzy TOPSIS and fuzzy AHP, on 12 KAFs. The fuzzy TOPSIS approach is used to rank factors. Affordability, performance expectancy and digital didactics are found as the top three KAFs. Fuzzy AHP classified KAFs into three groups, namely high, moderate, and low influential. Examination of the literature indicates that this study is among the first attempt to prioritize and classify MOOC KAFs using fuzzy TOPSIS and fuzzy AHP approach. The results offer managerial guidance to stakeholders for effective management of MOOC, resulting in higher acceptance rate. Likewise, this investigation will upgrade the comprehension of MOOC KAFs among academicians.

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