Modeling and analysis of FMS performance variables by fuzzy TISM

Jain, Vineet; Soni, Vimlesh Kumar

doi:10.1108/jm2-03-2018-0036

Cited by 36 publications

(28 citation statements)

References 75 publications

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“…In the next step, the defuzzified reachability matrix was developed from the aggregated fuzzy SSIM. To generate the defuzzified reachability matrix, the linguistic terms from Table 4 such as “very high” and “high” were assigned as “1” and with the other variables with “low,” “very low,” and “no influence” the linguistic terms were assigned as “0” ( Jain & Soni, 2019 ). Table A6 in the Appendix section shows the defuzzified reachability matrix.…”

Section: Resultsmentioning

confidence: 99%

“…The integration of TISM with fuzzy set theory has expanded the capability of TISM for expressing the level of influence of one element over another using fuzzy numbers rather than binary (0,1) format. Fuzzy TISM has been applied in various fields such as flexible manufacturing systems ( Jain & Soni, 2019 ) and vendor selection ( Khatwani et al, 2015 ). But its application in supply chain management is limited.…”

Section: Methodsmentioning

confidence: 99%

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Improving supply chain sustainability in the context of COVID-19 pandemic in an emerging economy: Exploring drivers using an integrated model

Karmaker¹,

Ahmed²,

Ahmed

et al. 2021

Sustainable Production and Consumption

306

259

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Motivated by the COVID-19 pandemic and the challenges it poses to supply chain sustainability (SCS), this research aims to investigate the drivers of sustainable supply chain (SSC) to tackle supply chain disruptions in such a pandemic in the context of a particular emerging economy: Bangladesh. To achieve this aim, a methodology is proposed based on the Pareto analysis, fuzzy theory, total interpretive structural modelling (TISM), and Matriced Impacts Cruoses Multiplication Applique a un Classement techniques (MICMAC). The proposed methodology is tested using experienced supply chain practitioners as well as academic experts’ inputs from the emerging economy. This study reveals the influential relationships and indispensable links between the drivers using fuzzy TISM to improve the SCS in the context of COVID-19. Findings also reveal that financial support from the government as well as from the supply chain partners is required to tackle the immediate shock on due to COVID-19. Also, policy development considering health protocols and automation is essential for long-term sustainability in supply chains (SCs). Additionally, MICMAC analysis has clustered the associated drivers to capture the insights on the SCS. These findings are expected to aid industrial managers, supply chain partners, and government policymakers to take initiatives on SSC issues in the context of the COVID-19 pandemic.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Improving supply chain sustainability in the context of COVID-19 pandemic in an emerging economy: Exploring drivers using an integrated model

Karmaker¹,

Ahmed²,

Ahmed

et al. 2021

Sustainable Production and Consumption

306

259

View full text Add to dashboard Cite

show abstract

“…Use of automated material handling devices Jain and Raj (2014b); Umar et al (2015) 3 Increased machine utilization Raj et al (2012) 4 Manufacturing lead time and set up time Jain and Raj (2013c); Jain and Raj (2015a) 5 Flexible fixturing Jain and Raj (2015c) 6 Scrap percentage Ravikumar et al (2015), Jain and Soni (2018) These factors are ranked by MADMs "multiple attribute decision making methods", i.e. AHP "analytical hierarchy process", CMBA "combinatorial mathematics-based approach" and improved ELEC-TRE "elimination et choix traduisant la realité".…”

Section: Introductionmentioning

confidence: 99%

Evaluation of performance factors of FMS by combined decision making methods as AHP, CMBA and ELECTRE methodology

Jain¹,

Ajmera²

2019

10.5267/j.msl

Self Cite

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Present research is aimed to analyze the performance factors of flexible manufacturing systems by combined decision-making methodologies like analytical hierarchy process (AHP), combinatorial mathematics-based approach (CMBA) and improved ELECTRE. Six variables affecting the three factors of performance of flexible manufacturing systems viz. productivity, flexibility and quality are considered for the evaluation of performance factors. The weights of the attributes are calculated with AHP and the index score is calculated with CMBA methodology. CMBA methodology is the fusion of AHP and GTMA. ELECTRE approach has been used for the outranking of factors. The results show that productivity had the maximum impact on the performance of manufacturing systems. A high Spearman's rank correlation also exists among the methods used.

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“…The contextual relationship among the established indicators of interest is necessary to be defined for establishing a framework (Jain and Soni, 2019). Here, the contextual relationships among the KPIs related to IFPRS are established.…”

Section: Methodsmentioning

confidence: 99%

A hybrid approach for modeling the key performance indicators of information facilitated product recovery system

Dwivedi

Madaan

2020

JM2

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Purpose This study aims to propose a comprehensive framework among Key Performance Indicators (KPIs) for analyzing the Information Facilitated Product Recovery System (IFPRS) on the basis of feedback captured from the industry experts and researchers. Design/methodology/approach Total Interpretive Structural Modeling (TISM) methodology interspersed with fuzzy MICMAC is used to extract the interrelationships and develop a hierarchical structure among the identified KPIs. Further, the Fuzzy Decision-Making Trial and Evaluation Laboratory (F-DEMATEL) method has been enforced to determine the intensity of these relationships and identify the most influential KPIs among identified KPIs from literature review and expert opinions. The outcome indicates that “information sharing,” “technology capacity” and “technology standards such as EDI, RFID” are the KPIs that have attained highest driving power. Findings This study has identified 15 KPIs of IFPRS and developed an integrated model using TISM and the fuzzy MICMAC approach, which is helpful to describe and organize the important KPIs and reveal the direct and indirect effects of each KPI on the IFPRS implementation. The integrated approach is developed, as the TISM model provides only binary relationship among KPIs, while fuzzy MICMAC analysis provides explicit analysis related to driving and dependence power of KPIs. Research limitations/implications Structural Equation Modeling (SEM) analysis can be performed based on the adequate number of responses collected using structured questionnaire. More qualitative techniques like ELECTRE, TOPSIS, etc. can be used to establish the strength of relationship among the KPIs and ranking them to focus on the few critical KPIs. Practical implications The proposed modeling could empower various governmental and non-governmental regulatory bodies in formulation of policies to effectively tackle the problem related to product recovery systems. This study has strong practical implications, for both practitioners as well as academicians. The practitioners need to concentrate on identified KPIs more cautiously during IFPRS implementation in their organizations and the top management could formulate strategy for implementing these KPIs obtained. Originality value There is a lack of studies related to the modeling of KPIs of IFPRS. As vast information is essential about the products returned during different product recovery stages, this study bridges the gap in literature by providing a framework for KPIs related to IFPRS. It is expected that the results originated will assist the experts to relevantly identify the significant and drop insignificant KPI for successful product recovery implementation and performance improvement of IFPRS.

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Modeling and analysis of FMS performance variables by fuzzy TISM

Cited by 36 publications

References 75 publications

Improving supply chain sustainability in the context of COVID-19 pandemic in an emerging economy: Exploring drivers using an integrated model

Improving supply chain sustainability in the context of COVID-19 pandemic in an emerging economy: Exploring drivers using an integrated model

Evaluation of performance factors of FMS by combined decision making methods as AHP, CMBA and ELECTRE methodology

A hybrid approach for modeling the key performance indicators of information facilitated product recovery system

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