Evaluation of Continuous Improvement Techniques using Hybrid MCDM Technique under Fuzzy Environment

Falak, J.; Kunjan, M.; Nagaraju, Dega; Narayanan, Swathi Jamjala

doi:10.1016/j.matpr.2020.01.422

Cited by 7 publications

(6 citation statements)

References 21 publications

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“…e different criteria, based on which the alternatives are rated, are decided and shown in Figure 2. e final ratings of the alternatives are determined using a single hybrid evaluation scheme of fuzzy AHP and VIKOR [7].…”

Section: Methodsmentioning

confidence: 99%

“…Since a flawless design is administered by various factors, decision makers have to consider several other parameters similar to methodological or economical parameters, which have to be compromised in certain conditions. Fuzzy AHP, fuzzy VIKOR, and a combination of both can be used to evaluate different processes when several stakeholders are involved and when the values may not be quantifiable or discrete [7]. MCDM methods allow a decision maker to quantify particular criteria established on its reputation in the existence of supplementary objectives.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Step 6: TFNs must undergo defuzzification using the CoA method proposed by [28] using equation (6). is is followed by the normalization of M i in equation (7).…”

Section: Fuzzy Ahpmentioning

confidence: 99%

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Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy Environment

Nagaraju

Chiranjeevi

Sekhar

et al. 2022

Advances in Fuzzy Systems

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Energy storage systems are becoming increasingly important, with a growing focus on renewable energy sources that provide highly fluctuating output. Therefore, sound decisions regarding the energy storage systems to be employed need to be made, especially with a systematic and semantic approach. This paper considers the problem of evaluation and selection of energy storage technologies (ESTs). The objective of the proposed research is to decide the best technology for energy storage under the novel idea of hybrid multicriteria decision-making technique under fuzzy environment, that is, fuzzy AHP with fuzzy VIKOR. Electrochemical storage, electrical storage, magnetic storage, mechanical storage, and chemical storage are considered as five alternative energy storage technologies. Energy density, life cycles, cycle efficiency, investment level, suitability to climatic conditions, and required space are considered as six main evaluation criteria. Under each of the main criteria, a set of subcriteria are also considered. The weights of main criteria and subcriteria are determined using fuzzy AHP. With the help of the weights of each set of subcriteria, the weights of alternatives are determined using fuzzy VIKOR. Further, with the help of the main criteria weights and the weights of alternatives determined with respect to each set of subcriteria, the final normalized weights of alternatives are determined. Based on these weights, energy storage technologies are ranked. In addition, the sensitivity analysis is carried out to analyze the variation in ranking pattern of alternatives. From the research findings of this paper, the results are found to be more practical as the evaluation is carried out on an objective basis.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy Environment

Nagaraju

Chiranjeevi

Sekhar

et al. 2022

Advances in Fuzzy Systems

Self Cite

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“…Also known as Multiple Criteria Decision Analysis (MCDA), MCDM is a method that focuses on evaluating multiple criteria and multiple targets in decision-making to resolve overlapping or conflicting decision-making problems. In the context of management and information systems, MCDM is often used to filter and prioritize a cluster of criteria gathered from industry fields, and the process could yield both industry demand and methodology contributions [13,64,65].…”

Section: Multiple Criteria Decision Making (Mcdm)mentioning

confidence: 99%

BIM for Smart Hospital Management during COVID-19 Using MCDM

Lin

Chen

2021

Sustainability

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In context of the recent COVID-19 pandemic, smart hospitals’ contributions to pre-medical, remote diagnosis, and social distancing has been further vetted. Smart hospital management evolves with new technology and knowledge management, which needs an evaluation system to prioritize its associated criteria and sub-criteria. The global effect of the COVID-19 pandemic further necessitates a comprehensive research of smart hospital management. This paper will utilize Analytical Hierarchy Process (AHP) within Multiple Criteria Decision Making (MCDM) to establish a smart hospital evaluation system with evaluation criteria and sub-criteria, which were then further prioritized and mapped to BIM-related alternatives to inform asset information management (AIM) practices. This context of this study included the expert opinions of six professionals in the smart hospital field and collected 113 responses from hospital-related personnel. The results indicated that functionalities connected to end users are critical, in particular IoT’s Network Core Functionalities, AI’s Deep Learning and CPS’s Special Network Technologies. Furthermore, BIM’s capability to contribute to the lifecycle management of assets can relate and contribute to the asset-intensive physical criteria of smart hospitals, in particular IoT, service technology innovations and their sub-criteria.

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“…In order to prove the feasibility and practicability of the method proposed in this paper, we compare the alternative ranking obtained in the above illustrative example with the results of the classical MCGDM methods. rough literature review, we find that AHP is one of the earliest methods to deal with MCGDM problems [108]. TOPSIS and VIKOR as two commonly used and well-known comparative methods, which has similar calculation logic [109].…”

Section: Comparative Analysismentioning

confidence: 99%

An Approach for Resilient-Green Supplier Selection Based on WASPAS, BWM, and TOPSIS under Intuitionistic Fuzzy Sets

Xiong

Zhong

Liu

et al. 2020

Mathematical Problems in Engineering

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The green supply chain management (GSCM) is an enterprise’s effort to protect the environment and a key way to achieve sustainable environmental development. On the contrary, globalization brings more risks to the supply chain. Resilience has become a critical definition in supply chain management to help enterprises review the disruption and return to normal state. Therefore, choosing a resilient-green supplier to build a supply chain environment with flexibility and greenness under interruption becomes necessary for research works. However, the existing studies tended to focus on only one of the factors with resilience and greenness, and no comprehensive criteria system and performance value is expressed by a crisp number. Therefore, this paper proposes a hybrid method which integrates the Best-Worst method (BWM), Weighted Aggregated Sum-Product Assessment (WASPAS), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to solve the critical problems. Firstly, BWM is used to weigh the criteria; secondly, intuitionistic fuzzy numbers are introduced into the ranking stage. Then, the integrated WASPAS and TOPSIS are used to rank the alternatives to select the optimal resilient-green supplier. Finally, an illustrative example proves the feasibility of this method.

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Evaluation of Continuous Improvement Techniques using Hybrid MCDM Technique under Fuzzy Environment

Cited by 7 publications

References 21 publications

Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy Environment

Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy Environment

BIM for Smart Hospital Management during COVID-19 Using MCDM

An Approach for Resilient-Green Supplier Selection Based on WASPAS, BWM, and TOPSIS under Intuitionistic Fuzzy Sets

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