An Integrated Type-2 Fuzzy Decision Model Based on Waspas and Seca for Evaluation of Sustainable Manufacturing Strategies

Ghorabaee, Mehdi Keshavarz; Govindan, Kannan; Amiri, Maghsoud; Zavadskas, Edmundas Kazimieras; Antuchevičienė, Jurgita

doi:10.3846/jeelm.2019.11367

Cited by 34 publications

(14 citation statements)

References 43 publications

(42 reference statements)

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“…The SECA method also is used in the evaluation of sustainable manufacturing strategies. In this decision model, SECA is combined with a weighted aggregated sum product assessment (WASPAS) [22].…”

Section: Methodsmentioning

confidence: 99%

Comparison of the Sub-Tour Elimination Methods for the Asymmetric Traveling Salesman Problem Applying the SECA Method

Bazrafshan

Zolfani

Al-e-hashem

2021

Axioms

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There are many sub-tour elimination constraint (SEC) formulations for the traveling salesman problem (TSP). Among the different methods found in articles, usually three apply more than others. This study examines the Danzig–Fulkerson–Johnson (DFJ), Miller–Tucker–Zemlin (MTZ), and Gavish–Graves (GG) formulations to select the best asymmetric traveling salesman problem (ATSP) formulation. The study introduces five criteria as the number of constraints, number of variables, type of variables, time of solving, and differences between the optimum and the relaxed value for comparing these constraints. The reason for selecting these criteria is that they have the most significant impact on the mathematical problem-solving complexity. A new and well-known multiple-criteria decision making (MCDM) method, the simultaneous evaluation of the criteria and alternatives (SECA) method was applied to analyze these criteria. To use the SECA method for ranking the alternatives and extracting information about the criteria from constraints needs computational computing. In this research, we use CPLEX 12.8 software to compute the criteria value and LINGO 11 software to solve the SECA method. Finally, we conclude that the Gavish–Graves (GG) formulation is the best. The new web-based software was used for testing the results.

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Section: Methodsmentioning

confidence: 99%

Comparison of the Sub-Tour Elimination Methods for the Asymmetric Traveling Salesman Problem Applying the SECA Method

Bazrafshan

Zolfani

Al-e-hashem

2021

Axioms

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“…The Weighted Aggregated Sum-Product Assessment method or WASPAS was defined by [57] combining two MCDM methods, namely, the weighted sum and weighted product models. WASPAS has been applied to assess renewable energy alternatives [58], sustainable production strategies [59], and the selection of suppliers [60].…”

Section: Weighted Aggregated Sum Product Assessmentmentioning

confidence: 99%

A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics

et al. 2020

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The managerial and environmental studies conducted in the energy research area reflect its substantial importance, particularly when optimizing and modifying consumption patterns, transitioning to renewable sources away from fossil ones, and designing plans and systems. The aim of this study is to provide a systematic review of the literature allowing us to identify which research subjects have been prioritized in the fields of energy and sustainability in recent years, determine the potential reasons explaining these trends, and categorize the techniques applied to analyze the uncertainty faced by decision-makers. We review articles published in highly ranked journals through the period 2003–2020 and apply text analytics to cluster their main characteristics; that is, we rely on pre-processing and text mining techniques. We analyze the title, abstract, keywords, and research methodology of the articles through clustering and topic modeling and illustrate what methods and fields constitute the main focus of researchers. We demonstrate the substantial importance of fuzzy-related methods and decision-making techniques such as the Analytical Hierarchy Process and Technique for Order Preferences by Similarity to Ideal Solutions (TOPSIS). We also show that subjects such as renewable energy, energy planning, sustainable energy, energy policy, and wind energy have gained relevance among researchers in recent years.

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“…As a linguistic-based approach, the fuzzy sets are suitable for cases where the sensitivity of inputs plays a significant role on the accuracy of outputs and the final decision. With the increasing attention to the implementation of fuzzy sets, many scholars have utilized fuzzy theory to model uncertainty in decision-making problems [21,[27][28][29][30][31][32][33][34]. Some of these studies have been reviewed below.…”

Section: Measuring Sustainability Using Fuzzy Logicmentioning

confidence: 99%

Analyzing the Status of Sustainable Development in the Manufacturing Sector Using Multi-Expert Multi-Criteria Fuzzy Decision-Making and Integrated Triple Bottom Lines

Hendiani

Liao

Bagherpour

et al. 2020

IJERPH

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A sustainable manufacturing company depends on the developments in three aspects in order to minimize harmful impacts on the environment, improve the social relations, and simultaneously maximize the economic benefits. Despite the increasing types of investigations that researchers have carried out in environmental and economic aspects, the minimum attention has been paid to social relations. In response to this deficiency, this paper proposes a new framework to obtain the overall sustainability index in manufacturing companies by encapsulating the sustainability criteria/sub-criteria. This article collected 33 sub-criteria for five pillars of sustainability as social, environment, economic, technological advancement, and performance management. The key contributions of this paper are highlighted as the hierarchical method that obtains the status of sustainability in uncertain conditions, the ability to identify the weak points, and a new framework for gathering the data about sustainability performance in manufacturing companies. The findings of this paper will aid both policymakers and decision-makers to assess the sustainability status of manufacturing systems and improve the performances of them.

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An Integrated Type-2 Fuzzy Decision Model Based on Waspas and Seca for Evaluation of Sustainable Manufacturing Strategies

Cited by 34 publications

References 43 publications

Comparison of the Sub-Tour Elimination Methods for the Asymmetric Traveling Salesman Problem Applying the SECA Method

Comparison of the Sub-Tour Elimination Methods for the Asymmetric Traveling Salesman Problem Applying the SECA Method

A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics

Analyzing the Status of Sustainable Development in the Manufacturing Sector Using Multi-Expert Multi-Criteria Fuzzy Decision-Making and Integrated Triple Bottom Lines

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