Prioritizing decision criteria of flexible manufacturing systems using fuzzy TOPSIS

Siddiquie, Reshma Yasmin; Khan, Zahid A.; Siddiquee, Arshad Noor

doi:10.1108/jmtm-04-2017-0069

Cited by 13 publications

(6 citation statements)

References 53 publications

(82 reference statements)

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“…To overcome this limitation, several methods have been developed by incorporating fuzzy set theory into MCDM problems. In fact, fuzzy multi-criteria decision-making (FMCDM) approaches are well suited to deal with uncertainty and vagueness of human thinking (Siddiquie et al, 2017). Therefore, in this study, fuzzy AHP and fuzzy ANP methods were applied to rank business strategies the descriptions of which are given below.…”

Section: Methodsmentioning

confidence: 99%

Comparison of Fuzzy Multi-Criteria Decision-Making Methods to Rank Business Strategies and Marketing Resources

Tohidi

Ghorbani

Karbasi

et al. 2020

AOL

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Given the growing competition in domestic and international agricultural product markets, choosing a business strategy compatible with requirements of marketing resources can guide agro-food firms to maintain and enhance competitive advantages. However, this is not as simple as it seems because the decision-making criteria expressed in a fuzzy manner and the relationship between them can be hierarchical or network-based. Therefore, the main goal of this study was to select the most suitable business strategy and to prioritize marketing resources for one of the major agro-food firms in Iran. To ensure the robustness of the results, both fuzzy analytic hierarchy process (AHP) and fuzzy analytic network process (ANP) were applied to prioritize business strategies and marketing resources. The results of both methods revealed that the differentiation strategy had the highest priority in terms of the experts' viewpoints. The results also showed that managerial and customer relationship capabilities were the most important criteria in selecting the differentiation strategy. According to the findings of the study, for the successful implementation of the differentiation strategy, company managers are recommended to take the following three main elements into huge consideration: financial conditions, paying attention to customer's needs and requirements, and the introduction of new products and services.

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Section: Methodsmentioning

confidence: 99%

Comparison of Fuzzy Multi-Criteria Decision-Making Methods to Rank Business Strategies and Marketing Resources

Tohidi

Ghorbani

Karbasi

et al. 2020

AOL

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“…Similarly, Raj et al (2008) proposed an ISM approach for modeling the enablers of flexible manufacturing in the Indian setting. Fuzzy TOPSIS was used to find the factor responsible for the successful implementation of FMS (Siddiquie et al , 2017), while WISM and TISM were used to estimate the key factor impacting the FMS performance (Gothwal and Raj, 2017).…”

Section: Science Mappingmentioning

confidence: 99%

Mapping and visualizing flexible manufacturing system in business and management: a systematic review and future agenda

Priyadarshini¹,

Gupta²

2023

JM2

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Purpose A flexible manufacturing system (FMS) helps improve the system’s performance, thus increasing its overall competitiveness. FMS is an essential component of Industry 4.0 (I4.0), which has revolutionized the way firms manufacture their products. This study aims to investigate the diverse focus of the research being published over the years and the direction of scholarly work in applying FMSs in business and management. Design/methodology/approach A total of 1,096 bibliometric data were extracted from the Scopus database from the years 2001 to 2021. A systematic review and bibliometric analysis were performed on the data and related articles for performance measurement and scientific mapping on the FMS themes. Findings Based on co-keyword, the study reveals four major themes in the FMS field: mathematical models and quantitative techniques, scheduling and optimization techniques, cellular manufacturing and decision-making in FMSs. Based on bibliometric coupling on 2018–2021 bibliometric data, four themes emerged for future research: scheduling problems in FMS, manufacturing cell formation problem, interplay of FMS with other latest technologies and I4.0 and FMS. Originality/value The originality lies in answering the following research questions: What are the most highlighting themes in FMS, and how have they evolved over the past 20 years (2001–2021)? What topics have been at the forefront of research in FMS in the past five years (2016–2021)? What are the promising avenues of research in FMS?

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“…A combination of Analytical Hierarchy Process (ANP) and Fuzzy TOPSIS based SWOT analysis was used by (Ervural, Zaim, Demirel, & Delen, 2018), for evaluation of energy evaluation plan of Turkey. Fuzzy TOPSIS is also used by (Siddiquie, Khan, & Siddiquie, 2017) for evaluation and prioritizing of criteria regarding flexible manufacturing systems. TOPSIS has an advantage over the other MCDM methods -regardless of the size of the problem, the number of steps that have to be undertaken in order to arrive at a ranking remains the same throughout (Velasquez & Hester, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

Preventing radicalism in educational institutions: Pakistan a case in point

Ali

Ahmad

Shah

et al. 2020

Journal of Public Affairs

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With the recent drastic shifts in societies, thinking styles, and most importantly, the degree of online‐and‐offline exposure, it is easy for the young and developing mind to fall prey to radical or extremist ideas. Radical organizations direct their recruiting efforts toward those who have yet to reach adolescence and are incapable of forming well‐informed and educated decisions. Since it is in human nature to target the weak and the vulnerable, these organizations look for dissatisfied, isolated and friendless young people. They are especially allured when these organizations promise to get them all they lack. As there have been incidents recently reported on young students' involvement in terror activities, the study proposes alternatives to prevent them from falling prey to radical thoughts. The proposed alternatives are judged through TOPSIS (Technique of Order Preference Similarity to the Ideal Solution) and the ideal alternative is singled out after mathematical calculation. Out of the five proposed alternatives, the study, through TOPSIS analysis, proposes that parents may be trained to handle their children in order to keep them from radical thoughts. In addition to the ideal alternative, the study also suggests that the government take preventive measures to curb the evil of radicalism.

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Prioritizing decision criteria of flexible manufacturing systems using fuzzy TOPSIS

Cited by 13 publications

References 53 publications

Comparison of Fuzzy Multi-Criteria Decision-Making Methods to Rank Business Strategies and Marketing Resources

Comparison of Fuzzy Multi-Criteria Decision-Making Methods to Rank Business Strategies and Marketing Resources

Mapping and visualizing flexible manufacturing system in business and management: a systematic review and future agenda

Preventing radicalism in educational institutions: Pakistan a case in point

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