Prioritizing the Solutions to Reverse Logistics Barriers for the E-Commerce Industry in Pakistan Based on a Fuzzy AHP-TOPSIS Approach (original) (raw)
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Comparative analysis of reverse e-logistics’ solution in Asia and Europe
Proceedings of 6th International Scientific Conference Contemporary Issues in Business, Management and Economics Engineering ‘2019, 2019
Purpose – to make comparative analysis of the most successful reverse e-logistics’ solution in Asia and Europe to identify models and methods for solving efficiency and sustainability issues in these areas. Research methodology – the research methodology implemented is composed of literature review, synthesis, and comparative analysis. Findings – certain solutions implemented such as omni-channels, and Multi-criteria decision making (MCDM) in Asia, and selecting the best third-party reverse logistics providers (3PRLPs), and green suppliers in Europe were able to increase the efficiency of reverse e-logistics’ performance. Research limitations – the lack of enough researches done in the field of RL in the Middle East created obstacles in double checking the work presented in this paper because more resources are needed to confirm significantly the results. As for future recommendations, further researches should be conducted in the Middle East. Practical implications – the results fo...
Journal of Defense Analytics and Logistics
Purpose The purpose of this research is to identify major barriers to the implementation of reverse logistics (RL). Also, the study addresses best practices among reuse, remanufacture, recycling, refurbishment and repair as alternatives for RL processes. Design/methodology/approach This study targets supply chain management experts for their opinions regarding the identification of critical barriers and alternatives for RL implementation. Their opinions were extracted through a Web questionnaire based on 14 criteria with 5 alternatives. The tools of multi-criteria decision-making are used for analysis, i.e. fuzzy VIKOR and fuzzy TOPSIS. Findings The results indicate that lack of recognition of competitive advantage to be gained through RL practice is the most critical barrier to RL implementation. The least barrier or major facilitator for RL is “supportive initiative for end-of-life products.” The top-ranked alternative in this study is reuse followed by remanufacturing. The least ...
A Decision Making Methodology for the Selection of Reverse Logistics Operating Channels
Procedia Engineering, 2012
An efficient management of product returns is a strategic issue. Nowadays, customer expect manufacturer to develop a reverse logistics system so that the returned products can be recovered. With the development and advancement of reverse logistics practice, the selection of reverse logistics operating channels becomes more important. There are three operating channels of reverse logistics; Manufacturer Operation, Third Party Operation, Joint Operation. In this paper a hybrid methodology based on Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) under fuzzy environment is proposed for the selection and evaluation of reverse logistics operating channels. An example is included to validate the proposed method. This method helps the decision maker to select the best technology that meets the requirement.
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Recently, manufacturing companies aspire to implement reverse logistics in response to stakeholders’ requirements to reduce negative environmental consequences, improve organizational sustainable performance and ultimately increase competitive advantage. However, implementing reverse logistics can be impeded by a criteria framework, and necessitates the careful analysis of how such criteria interact with each other in the presence of uncertainty. Thus, in this study, we propose an integrated multi- criteria decision-making (MCDM) methodology that leverages the Decision Making Trial and Evaluation Laboratory (DEMATEL) under Intuitionistic Fuzzy (IF) environment and Evaluation Based on Distance to Average Solution (EDAS). Within the proposed methodology, firstly, the IF-DEMATEL is applied to obtain the interrelationships between the criteria/barriers and then, the EDAS method is applied to prioritize the criteria based on the appraisal scores evaluation. An application case within the...
A Fuzzy Ahp Approach for Evaluating Reverse Logistics Indicators in Brazil
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Due to the raising of environmental consciousness in the last recent years, companies are increasingly concerned with Reverse Logistics (RL) activities. Despite the growing relevance, RL remains not adequately managed or assessed when compared to direct logistics processes. For instance, managers face difficulties to select the most appropriate RL key performance indicators (KPI) in spite of its great amount available in the literature. This paper contributes to close this gap by exploring RL performance indicators in theory and practice. Thus, this work brings to light the most relevant RL performance indicators in order to support decision makers to effectively attain to their purposes in reverse flow of end-of-life products. To this end, a three-step methodology was applied. Firstly, a systematic literature review on RL indicators was carried out. The most frequently cited indicators were selected and categorized into pre-defined domains. Secondly, a questionnaire was submitted to academic experts and industrial managers from Southern Brazil in order to obtain the relevance of indicators by means of pair-wise comparison matrices. Finally, a data analysis was undertaken and the indicators were ranked using fuzzy analytic hierarchy process (Fuzzy AHP). The fuzzy approach was elected to deal with incomplete information and vagueness of responses. This work may help companies to select performance indicators for a better implementation and management of RL. The preliminary results of the work show that KPI's strongly associated to the economic area still represent a crucial issue when assessing RL processes. At last, the paper concludes by discussing further insights on RL as well as by suggesting future paths of research on this topic.
Transport, 2021
Business environment is full of ups and down and this makes companies to develop different ways of using resources. By expanding life cycle of products, these ways can be cost effective and not harmful for environment. As Reverse Logistics (RL) uses a product after end of its life, it reduces pollution, therefore it has been considered as a part of sustainable development. The core goal of current research is developing a framework by which it evaluates Third Party RL Provider (3rdPRLP) using Multi-Criteria Decision-Making (MCDM) based on Fuzzy Additive Ratio ASsessment (FARAS). Thirty-seven criteria were identified, which are classified into seven main criteria. The main criteria were ranked as follows: product lifecycle position C1, RL process function C2, organizational performance C3, organizational role of RL C4, IT system and communication C5, general company consideration C6, geographical location C7. Market coverage, destination, financial considerations, integrated system, reclaim, efficiency and quality, and growth are each group's dominant sub-criteria. In addition, the current research helps the logistics managers to better understand the key attributes' complex relationships in the environment of decision-making.
Evaluating reverse third-party logistics operations using a semi-fuzzy approach
International Journal of Production Research, 2011
The responsiveness and efficiency of distributed and multi-echelon supply chains are increasingly reliant upon reduced cycle times within forward and reverse logistics operations. Within the high-tech industry, Reverse Logistics (RL) in the form of end-of-life, stock balancing, defective/warranty, recycle, and re-use product returns, is particularly important owing to the complexity and dependency that exist throughout the extended supply chain in order to maintain brand loyalty and customer satisfaction (source, OEM vendors and end customers alike). RL is fast becoming a strategy to acquire an organisational competitive advantage, making the quest to exploit such a function a premeditated decision. The introduction of Third-Party Logistics (3PL) providers has become a necessity for those supply-chain operations where issues of cost and risk mitigation need to be balanced with agility and responsiveness. This paper develops a conceptual framework of the factors influencing Reverse 3PL based upon Information Systems (IS) and associated Resource Commitment (RC) factors. The framework is then tested using a mixed-method research based approach using a 3PL organisation based in Thailand. The research findings reveal that among the proposed factors, IS- and RC-based operating performance, resource cost-effectiveness and RC (at financial, managerial and technological levels in the firm) were deemed to have a stronger positive relationship and input into reverse 3PL operations for the firm in context. The model is validated using the techniques of System Dynamics and Fuzzy Cognitive Mapping.
A Reverse Logistics Provider Selection Framework
Today, sustainable development has become the central focus of many researchers and companies. To achieve the predetermined goals and objectives, a company must be able to respond to increasing consumer demand for "green" products and to implement environmentally conscious plans. Reverse logistics plays a crucial role in achieving this since it enables customers with the opportunity to return the warranted and/or defective products. Hence, an efficient reverse logistics structure provides a competitive advantage to companies as well as a significant return on investment. In this regard, the selection of third-party providers, being one of the most important issues in the overall reverse logistics structure, is a crucial step in reverse logistics related practices. This study aims to assist the decision makers in determining the "most appropriate" third-party logistics provider via an alternative approach based on an integrated model using artificial neural networks and fuzzy logic. A case study is also included to demonstrate the logical steps of the model.