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Dhankhar C, Kumar K. Multi-attribute decision-making based on the advanced possibility degree measure of intuitionistic fuzzy numbers. GRANULAR COMPUTING 2022. [DOI: 10.1007/s41066-022-00343-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
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Kumar V, Verma P, So TC, Singh A, Al Owad A. Managing supply chains during COVID-19 outbreak: a case of Hong Kong toy manufacturing company. JOURNAL OF HUMANITARIAN LOGISTICS AND SUPPLY CHAIN MANAGEMENT 2022. [DOI: 10.1108/jhlscm-10-2021-0109] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
PurposeThis study aims to identify key supply chain challenges and opportunities of the case of Hong Kong toy manufacturing company during the COVID-19 outbreak and develop a comprehensive structural relationship to rank them.Design/methodology/approachIn this study, a toy model company in Hong Kong is considered to discuss about what challenges and opportunities have the biggest impacts on non-necessary goods companies and how to deal with different impacts on entire supply chain flow disruption during COVID-19. A semi-structured interview with five decision-makers from the company was made to give key challenges and opportunities scores. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique is used to establish the model and rank them afterward to overcome the challenges.FindingsFrom the data analysis and results, “salary of employee” and “inconvenient transportation” have emerged as top and bottom key challenges respectively. The sequence of organized challenges in the list needs to mitigate one by one in this order to improve the supply chain performance. The “client's orders’ frequency, customer management” and “supplier/partner relationship management” are identified as the top and bottom respectively to develop the opportunities.Research limitations/implicationsThese key challenges and opportunities are identified as contributing attributes and provide the way to measure to improve production, profits and sustainable growth of the toy manufacturing company during a pandemic. Moreover, it helps to improve the distribution level and good planning with appropriate decision making to manage the supply chain performance considering humanitarian aspects during a pandemic outbreak.Originality/valueThe novelty of this study is to identify the key supply chain challenges and opportunities measured by the TOPSIS method to rank them and consider the case of a Hong Kong toy manufacturing company as a case-based approach to measuring its performance during the COVID-19 outbreak.
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Chen SM, Liao WT. Multiple attribute decision making using Beta distribution of intervals, expected values of intervals, and new score function of interval-valued intuitionistic fuzzy values. Inf Sci (N Y) 2021. [DOI: 10.1016/j.ins.2021.04.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Multiattribute decision making using novel score function of interval-valued intuitionistic fuzzy values and the means and the variances of score matrices. Inf Sci (N Y) 2021. [DOI: 10.1016/j.ins.2021.07.055] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Chen SM, Tsai KY. Multiattribute decision making based on new score function of interval-valued intuitionistic fuzzy values and normalized score matrices. Inf Sci (N Y) 2021. [DOI: 10.1016/j.ins.2021.07.074] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Wan S, Dong J, Chen SM. Fuzzy best-worst method based on generalized interval-valued trapezoidal fuzzy numbers for multi-criteria decision-making. Inf Sci (N Y) 2021. [DOI: 10.1016/j.ins.2021.03.038] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Kumar K, Chen SM. Multiattribute decision making based on interval-valued intuitionistic fuzzy values, score function of connection numbers, and the set pair analysis theory. Inf Sci (N Y) 2021. [DOI: 10.1016/j.ins.2020.11.032] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Multiattribute decision making based on converted decision matrices, probability density functions, and interval-valued intuitionistic fuzzy values. Inf Sci (N Y) 2021. [DOI: 10.1016/j.ins.2020.12.029] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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İç YT, Yurdakul M. Development of a new trapezoidal fuzzy AHP-TOPSIS hybrid approach for manufacturing firm performance measurement. GRANULAR COMPUTING 2020. [DOI: 10.1007/s41066-020-00238-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Akram M, Shahzadi G. Decision-making approach based on Pythagorean Dombi fuzzy soft graphs. GRANULAR COMPUTING 2020. [DOI: 10.1007/s41066-020-00224-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Akram M, Ali G, Shabir M. A hybrid decision-making framework using rough mF bipolar soft environment. GRANULAR COMPUTING 2020. [DOI: 10.1007/s41066-020-00214-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Garg H, Kaur G. Novel distance measures for cubic intuitionistic fuzzy sets and their applications to pattern recognitions and medical diagnosis. GRANULAR COMPUTING 2018. [DOI: 10.1007/s41066-018-0140-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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