A fuzzy cognitive mapping model for service supply chains performance

Pandari, Abbas Rezaei; Azar, Adel

doi:10.1108/mbe-05-2016-0026

Cited by 18 publications

(6 citation statements)

References 49 publications

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“…et al (2009), Baecke et al (2017), Meeran et al (2017) and Liu, Wang, Tang and Zhu (2018) Hwang and Rho (2016), Liu, Yan, X., Wei, Xie and Wang (2018) and Dania et al (2018) Song et al (2011), Maull et al (2012), Zha et al (2015), Wang et al (2015), Wang et al (2017), Boon-itt et al (2017) and Komulainen et al (2018) Afonso Vieira et al (2011),Gligor and Holcomb (2013),Rezapour and Farahani (2014),Narayanan and Moritz (2015),Xia et al (2015),Song et al (2016), Rezaei Pandari andAzar (2017) andWang et al (2018) …”

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confidence: 99%

Service supply chain management: a behavioural operations perspective

Liu

Wang

Long

et al. 2019

MSCRA

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Purpose The purpose of this paper is to provide an overview of the evolution of service supply chain management from a behavioural operations perspective, pointing out future research directions for scholars. Design/methodology/approach This study searched five databases for relevant literature published between 2009 and 2018, selecting 64 papers for this review. The selected literature was categorised according to two dimensions: a service supply chain link perspective and a behavioural factor perspective. Comparative analysis was used to identify gaps in the literature, and five future research agendas were proposed. Findings In terms of the perspective of service supply chain link, extant literature primarily focuses on service supply and service co-ordination management, and less on service demand and integration management. In terms of the behavioural factor’s perspective, most focus on classic behaviour factors, with less attention paid to emerging behaviour factors. This paper thus proposes five research agendas: demand-oriented management and integrated supply chain-oriented behavioural research; broadening the understanding of the scope of behavioural operations; integrating the latest backgrounds and trends of service industry into the research; greater attention to behavioural operations in service sub-industries; and multimethod combination is encouraged to be used to dig into the interesting research problems. Originality/value This study constitutes the first systematic review of service supply chain research from a behavioural perspective. By categorising the literature into two dimensions, the state of existing research is evaluated with an eye towards future research avenues.

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confidence: 99%

Service supply chain management: a behavioural operations perspective

Liu

Wang

Long

et al. 2019

MSCRA

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“…Fuzzy logic presents techniques such as fuzzy cognitive mapping that helps the study of causality between variables of different order and complexity [25], and which contributes to the problems of supplier selection. According to [57], the advantage of fuzzy cognitive mapping is in the understanding of complex systems, and it is delimited by the quality of the information and the relation of the objects that are analyzed, [58][59][60][61][62][63][64][65][66].…”

Section: Supplier Selection Techniques and Methods To Usementioning

confidence: 99%

Supplier Selection for Photovoltaic Module Installation Utilizing Fuzzy Inference and the VIKOR Method: A Green Approach

2020

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The necessary transformation of the world’s energy matrices has led to a growth in developing technologies based on renewable sources. In this context, photovoltaic panels and their components count in Brazil with a production and commercialization chain that has accumulated a sustained growth of more than 100% of its generation capacities between the years 2018 and 2019, and that can fulfill or overcome this rate in 2019 to 2020. However, the conditions of a competitive market and the availability of a significant number of middle and small companies for the distribution and installation of photovoltaic technology may represent a scenario where multiple indicators must be considered. The purpose of this study is to apply a combined method to aid decision-making that corresponds to the supplier selection of the technology in the context of Northeast Brazil. The method is composed by the combination of a diffuse inference technique together with a multicriteria decision-making method, VIKOR, and the weight assignment to the indicators using the entropy method, according to the values of the decision matrix resulting from the diffuse inference technique that allows to develop the calculus. The results show that data collection from multiple sources and based on input variables can offer metrics about the suppliers for the selection criteria. Restrictions derived from data collection can be a barrier, and the method relies on an adapted script that facilitates application.

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“…For this aim, they got benefit from FCM and also implemented several different scenario analyses. Different from these studies, Rezaei Pandari and Azar examined the service supply chain performance in 2017. In this study, FCM was used for searching the relations between several different measures that were determined by experts.…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing the effects of COVID-19 pandemic on supplier performance evaluation factors via fuzzy cognitive map with a hybrid learning system

Çiftçi

2022

IJOEM

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PurposeThe COVID-19 pandemic has proven that how supply chain management (SCM) can become a crucial process for sustainability of the world's production/service. The global supply chain crisis during pandemic has affected most of the sectors. Home and personal care products manufacturers are among them. In this study (1) the problems at SCM of personal and home care products manufacturers during pandemic are discussed with the help of medium-size manufacturer and (2) the factors affecting suppliers' performance for the relevant sector during COVID-19 are analyzed comprehensively.Design/methodology/approachThe importance of the factors is evaluated using fuzzy cognitive maps that can help to reveal hidden casual relationships with the help of expert knowledge. In order to eliminate subjectivity due to usage of expert knowledge, the maps are trained with a hybrid learning approach that consists of Non-linear Learning and Extended Great Deluge Algorithms to increase robustness of the analysis.FindingsThe findings of the study indicate that the factors such as general quality level of products/services, compliance to delivery time, communication skills and total production capacity of suppliers have been crucial factors during pandemic.Originality/valueWhile the implementation of the hybrid learning approach on supply chain can fill the gap in the relevant literature, the promising results of the study can prove the convenience of the methodology to model the of complex systems like supply chain processes.

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A fuzzy cognitive mapping model for service supply chains performance

Cited by 18 publications

References 49 publications

Service supply chain management: a behavioural operations perspective

Service supply chain management: a behavioural operations perspective

Supplier Selection for Photovoltaic Module Installation Utilizing Fuzzy Inference and the VIKOR Method: A Green Approach

Analyzing the effects of COVID-19 pandemic on supplier performance evaluation factors via fuzzy cognitive map with a hybrid learning system

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