A Conceptual Hybrid Approach from a Multicriteria Perspective for Sustainable Third-Party Reverse Logistics Provider Identification

Reverse logistics (RL) is considered the reverse manner of gathering and redeploying goods at the end of their lifetime span from consumers to manufacturers in order to reutilize, dispose, or remanufacture. Whereas RL has many economic benefits, it presents compromises to businesses that wish to remain competitive but be responsible global citizens in terms of social, environmental, risk, and safety aspects of sustainable development. Managing RL systems therefore is considered a multifaceted mission that necessities a significant level of technology, infrastructure, experience, and competence. Consequently, various commerce institutions are looking to outsourcing their RL actions to third-party reverse logistics providers (3PRLPs). In this work, a novel hybrid multiple-criteria decision-making (MCDM) framework is proposed to classify and choose 3PRLPs, which comprises the analytic hierarchy process (AHP) technique, and technique for order of preference by similarity to ideal solution (TOPSIS) technique under neutrosophic environment. Accordingly, AHP is availed for defining weights of key dimensions and their subindices. In addition, TOPSIS was adopted for ranking the specified 3PRLPs. The efficiency of the proposed approach is clarified through application on a considered car parts manufacturing industry case in Egypt, which shows the features of the combined MCDM methods. A comparative and sensitivity analyses were performed to highlight the benefits of the incorporated MCDM methods and for clarifying the effect of changing weights in selecting the sustainable 3PRLP alternative, respectively. The suggested framework is also shown to present more functional execution when dealing with uncertainties and qualitative inputs, demonstrating applicability to a broad range of applications. Ultimately, the best sustainable 3PRLPs were selected and results show that social, environmental, and risk and safety sustainability factors have the greatest influence when determining 3PRLPs alternatives.

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A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers

Sustainability ◽

10.3390/su13042064 ◽

2021 ◽

Vol 13 (4) ◽

pp. 2064

Author(s):

Arunodaya Raj Mishra ◽

Pratibha Rani ◽

Raghunathan Krishankumar ◽

Edmundas Kazimieras Zavadskas ◽

Fausto Cavallaro ◽

...

Keyword(s):

Reverse Logistics ◽

Hybrid Approach ◽

Third Party ◽

Illustrative Case ◽

Primary Concern ◽

Compromise Solution ◽

Fuzzy Environment ◽

Criteria Weights ◽

Reverse Logistic ◽

Illustrative Case Study

Customers’ pressure, social responsibility, and government regulations have motivated the enterprises to consider the reverse logistics (RL) in their operations. Recently, companies frequently outsource their RL practices to third-party reverse logistics providers (3PRLPs) to concentrate on their primary concern and diminish costs. However, to select the suitable 3PRLP candidate requires a multi-criteria decision making (MCDM) process involving uncertainty owing to the presence of many associated aspects. In order to choose the most appropriate sustainable 3PRLP (S3PRLP), we introduce a hybrid approach based on the classical Combined Compromise Solution (CoCoSo) method and propose a discrimination measure within the context of hesitant fuzzy sets (HFSs). This approach offers a new process based on the discrimination measure for evaluating the criteria weights. The efficiency and practicability of the present approach are numerically demonstrated by solving an illustrative case study of S3PRLPs selection under a hesitant fuzzy environment. Moreover, sensitivity and comparative studies are presented to highlight the robustness and strength of the introduced methodology. The result of this work concludes that the introduced methodology can recommend a more feasible performance when facing with determinate and inconsistent knowledge and qualitative data.

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Integrating Fuzzy AHP and Fuzzy ARAS for evaluating financial performance

Boletim da Sociedade Paranaense de Matemática ◽

10.5269/bspm.v32i2.21378 ◽

2014 ◽

Vol 32 (2) ◽

pp. 163 ◽

Cited By ~ 8

Author(s):

Abdolhamid Safaei Ghadikolaei ◽

Saber Khalili Esbouei

Keyword(s):

Performance Evaluation ◽

Financial Performance ◽

Manufacturing Industry ◽

Stock Exchange ◽

Fuzzy Ahp ◽

Hybrid Approach ◽

Analytic Hierarchy ◽

Fuzzy Environment ◽

Parts Manufacturing ◽

Hierarchy Process

Multi Criteria Decision Making (MCDM) is an advanced field of Operation Research; recently MCDM methods are efficient and common tools for performance evaluation in many areas such as finance and economy. The aim of this study is to show one of applications of mathematics in real word. This study with considering value based measures and accounting based measures simultaneously, provided a hybrid approach of MCDM methods in fuzzy environment for financial performance evaluation of automotive and parts manufacturing industry of Tehran stock exchange (TSE).for this purpose Fuzzy analytic hierarchy process (FAHP) is applied to determine the relative important of each criterion, then The companies are ranked according their financial performance by using fuzzy additive ratio assessment (Fuzzy ARAS) method. The finding of this study showed effective of this approach in evaluating financial performance.

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The Measurement of Sustainable Regional Manufacturing Industry: The Case of China

10.21203/rs.3.rs-1188669/v1 ◽

2022 ◽

Author(s):

Meng Ye ◽

Yaqi Wang ◽

Fumin Deng

Keyword(s):

Sustainable Development ◽

Manufacturing Industry ◽

Evaluation Model ◽

Social Benefit ◽

Economic Benefits ◽

Evaluation Index System ◽

Green Development ◽

Order Preference ◽

Topsis Technique ◽

Made In China

Abstract Since the introduction of Made in China 2025 and its focus on sustainable development and manufacturing industry transformation, appropriate evaluation methods to accurately assess the development of China’s manufacturing industry have become essential. Therefore, this research constructed an innovative evaluation index system for manufacturing development based on seven dimensions: innovation, structural optimization, economic benefits, efficiency enhancements, green development, international competition, and social benefits. An objective combination weighted-gray correlation-TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) evaluation model was applied to the Sichuan Province manufacturing industry data from 2009 to 2018 to create a representative sample, in which the overall development level from 2009 to 2016 took on an inverted U-shaped curve that reached its maximum in 2013, fell to its lowest point in 2016, and then began a steady upward trend marked by innovation and efficiency improvements; however, sustainability fell. Based on these results, this research provides a scientific reference for policy-makers with recommendations for innovation-driven development strategies, green development promotion, and social benefit improvements with the aim of promoting more sustainable development of China's manufacturing industry.

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Survey of reverse logistics practices in manufacturing industries: an Indian context

Benchmarking An International Journal ◽

10.1108/bij-06-2013-0066 ◽

2015 ◽

Vol 22 (5) ◽

pp. 874-899 ◽

Cited By ~ 19

Author(s):

V Ravi ◽

Ravi Shankar

Keyword(s):

Reverse Logistics ◽

Manufacturing Industry ◽

Numerical Data ◽

Economic Benefits ◽

Current Status ◽

Successful Implementation ◽

Sensitive Data ◽

Content Type ◽

Indian Context ◽

Food And Beverage

Purpose – The purpose of this paper is to investigate the current status of reverse logistics practices used on four sectors of Indian manufacturing industry, namely, auto, paper, food and beverage processing, and electronics. Design/methodology/approach – A nationwide questionnaire-based survey has been used to assess reverse logistics practices in Indian context. Findings – It was seen from the survey that Indian companies considered implementing reverse logistics programs in their organization as a strategic-level decision. Volume of products entering the return stream is a key driver of reverse logistics activities. One of the important observations of this research is that Indian companies have primarily adopted reverse logistics due to the economic benefits associated with them. Research limitations/implications – The results reported in this research are the bird’s eye view of reverse logistics practices in the Indian context only. The low level of questionnaire responses is also one of the limitations of this study. Numerical data related to companies could not be reported in this research as companies were reluctant in giving sensitive data. Practical implications – The present research would be useful for benchmarking professionals/managers for understanding strategic, tactical and operational-level issues of reverse logistics with respect to Indian context. Also, logistics managers can evolve suitable strategies for successful implementation of reverse logistics programs. Originality/value – The literature review indicates that only a few frameworks available give a holistic perspective of the current status of reverse logistics operations in an Indian context. This research is an attempt in this regard.

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A Hybrid Fuzzy MCDM Approach for Sustainable Third-Party Reverse Logistics Provider Selection

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.845.521 ◽

2013 ◽

Vol 845 ◽

pp. 521-526 ◽

Cited By ~ 6

Author(s):

Ghazaleh Tajik ◽

Amir Hossein Azadnia ◽

Azanizawati Bt Ma'aram ◽

Syed Ahmad H.S. Hassan

Keyword(s):

Reverse Logistics ◽

Social Issues ◽

Three Dimensions ◽

Third Party ◽

Analytic Hierarchy ◽

Electronic Manufacturing ◽

Competitive Edge ◽

Order Preference ◽

Social Environmental ◽

Hierarchy Process

Third-party reverse logistics providers (3PRLPs) selection has become an important logistics function which can help companies to maintain their competitive edge. Traditionally, companies solely considered economic aspects for selecting their 3PRLPs. However, due to increased pressure from different types of stakeholders regarding environmental and social issues in recent years, companies have been obliged to incorporate these issues in their logistics and supply chains functions. Although many studies have been conducted in the field of 3PRLPs selection, much less attention has been devoted to incorporating all three aspects of sustainability (social, environmental, and economic) in this field. In this research, a hybrid fuzzy multi-criteria decision-making (FMCDM) approach is proposed for selecting 3PRLPs while all three dimensions of sustainability were taken into account. Fuzzy analytic hierarchy process (FAHP) was used in order to weight the selected sustainability criteria and subcriteria. Then, fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) was applied for determining the ranking of suppliers. The applicability of the proposed approach was tested in an electronic manufacturing company.

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Pop-Up Planning

10.1093/oso/9780190691332.003.0006 ◽

2018 ◽

Author(s):

Gordon C.C. Douglas

Keyword(s):

Public Space ◽

Aesthetic Experience ◽

Public Spaces ◽

Economic Benefits ◽

Cultural Value ◽

Space Design ◽

Creative Placemaking ◽

Tactical Urbanism ◽

Social Environmental ◽

Public Space Design

Chapter 6 looks at the world of official urban planning and placemaking, providing different perspectives on its relationship to DIY urbanism. Through the voices of professional planners, the chapter explores their conflicted opinions on DIY approaches: criticizing their informality and emphasizing the importance of regulations and accountability for everything from basic functionality to social equity, yet sympathetic to do-it-yourselfers’ frustrations and often excited to adopt their tactics, harness their energy, and exploit their cultural value. The chapter then describes how some DIY projects have found pathways to formal adoption and inspired popular “tactical urbanism” and “creative placemaking” approaches to public space design. Many such interventions can result in innovative public spaces with social, environmental, and economic benefits. But the reproduction of an aesthetic experience selectively inspired by a hip grassroots trend and combined with “creative class” values can mark the resulting spaces themselves as elite and exclusionary.

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An Empirical Study on the Model of Self-Efficacy and Organizational Citizenship Behavior Transmitted through Employee Engagement, Organizational Commitment and Job Satisfaction in the Thai Automobile Parts Manufacturing Industry

Journal of Open Innovation Technology Market and Complexity ◽

10.3390/joitmc7030170 ◽

2021 ◽

Vol 7 (3) ◽

pp. 170

Author(s):

Khahan Na-Nan ◽

Suteeluck Kanthong ◽

Jamnean Joungtrakul

Keyword(s):

Job Satisfaction ◽

Organizational Commitment ◽

Employee Engagement ◽

Organizational Citizenship ◽

Organizational Citizenship Behavior ◽

Self Efficacy ◽

Manufacturing Industry ◽

Statistical Significance ◽

Citizenship Behavior ◽

Parts Manufacturing

This research aims to study the direct and indirect influence of self-efficacy on organizational citizenship behavior transmitted through employee engagement, organizational commitment and job satisfaction, and to examine employee engagement, organizational commitment and job satisfaction as partial or full mediators. The study samples were 400 employees in the automobile parts manufacturing industry. The study instruments used by previous researchers were applied and back translation was conducted on all questionnaire items. Content validity and reliability was then tested prior to using them for data collection. Direct and indirect influences and mediators were analyzed with the Hayes Model 81 using the PROCESS Program. Results revealed that self-efficacy had a direct influence on organizational citizenship behavior with statistical significance, with an indirect influence transmitted through employee engagement, organizational commitment and job satisfaction. Employee engagement, organizational commitment and job satisfaction functioned as partial mediators between self-efficacy and organizational citizenship behavior with statistical significance. The model was based on the theory of self-efficacy to express organizational citizenship behavior. However, the study results showed that employee engagement, organizational commitment and job satisfaction play roles as mediators in transmission of effective organizational citizenship behavior. Therefore, these mediators are important factors that can accurately explain organizational citizenship behavior.

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Bioclimatic and Regenerative Design Guidelines for a Circular University Campus in India

Sustainability ◽

10.3390/su13158238 ◽

2021 ◽

Vol 13 (15) ◽

pp. 8238

Author(s):

Noemi Bakos ◽

Rosa Schiano-Phan

Keyword(s):

Construction Industry ◽

Assessment Tool ◽

Economic Benefits ◽

Design Guidelines ◽

University Campus ◽

Design Strategies ◽

Regenerative Design ◽

Governmental Institutions ◽

Social Environmental

To transform the negative impacts of buildings on the environment into a positive footprint, a radical shift from the current, linear ‘make-use-dispose’ practice to a closed-loop ‘make-use-return’ system, associated with a circular economy, is necessary. This research aims to demonstrate the possible shift to a circular construction industry by developing the first practical framework with tangible benchmarks for a ‘Circular University Campus’ based on an exemplary case study project, which is a real project development in India. As a first step, a thorough literature review was undertaken to demonstrate the social, environmental and economic benefits of a circular construction industry. As next step, the guideline for a ‘Circular University Campus’ was developed, and its applicability tested on the case study. As final step, the evolved principles were used to establish ‘Project Specific Circular Building Indicators’ for a student residential block and enhance the proposed design through bioclimatic and regenerative design strategies. The building’s performance was evaluated through computational simulations, whole-life carbon analysis and a circular building assessment tool. The results demonstrated the benefits and feasibility of bioclimatic, regenerative building and neighbourhood design and provided practical prototypical case study and guidelines which can be adapted by architects, planners and governmental institutions to other projects, thereby enabling the shift to a restorative, circular construction industry.

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A Profit Distribution Model of Reverse Logistics Based on Fuzzy DEA Efficiency—Modified Shapley Value

Sustainability ◽

10.3390/su13137354 ◽

2021 ◽

Vol 13 (13) ◽

pp. 7354

Author(s):

Jiekun Song ◽

Xiaoping Ma ◽

Rui Chen

Keyword(s):

Shapley Value ◽

Reverse Logistics ◽

Service Providers ◽

Third Party ◽

Output Data ◽

Profit Distribution ◽

Logistics Service ◽

Input And Output ◽

Value Model ◽

Fuzzy Dea

Reverse logistics is an important way to realize sustainable production and consumption. With the emergence of professional third-party reverse logistics service providers, the outsourcing model has become the main mode of reverse logistics. Whether the distribution of cooperative profit among multiple participants is fair or not determines the quality of the implementation of the outsourcing mode. The traditional Shapley value model is often used to distribute cooperative profit. Since its distribution basis is the marginal profit contribution of each member enterprise to different alliances, it is necessary to estimate the profit of each alliance. However, it is difficult to ensure the accuracy of this estimation, which makes the distribution lack of objectivity. Once the actual profit share deviates from the expectation of member enterprise, the sustainability of the reverse logistics alliance will be affected. This study considers the marginal efficiency contribution of each member enterprise to the alliance and applies it to replace the marginal profit contribution. As the input and output data of reverse logistics cannot be accurately separated from those of the whole enterprise, they are often uncertain. In this paper, we assume that each member enterprise’s input and output data are fuzzy numbers and construct an efficiency measurement model based on fuzzy DEA. Then, we define the characteristic function of alliance and propose a modified Shapley value model to fairly distribute cooperative profit. Finally, an example comprising of two manufacturing enterprises, one sales enterprise, and one third-party reverse logistics service provider is put forward to verify the model’s feasibility and effectiveness. This paper provides a reference for the profit distribution of the reverse logistics.

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