Agility appraisal for integrated supply chain using generalized trapezoidal fuzzy numbers set

Samantra, Chitrasen; Datta, Saurav; Mishra, Swagatika; Mahapatra, Siba Sankar

doi:10.1007/s00170-013-4937-6

Cited by 23 publications

(15 citation statements)

References 26 publications

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“…Subsequently, others [34][35][36][37][38][39][40][41] suggested to integrate multiple criterions related to production, market, people, and information to evaluate the performance of supply chain. For example, researchers used the technique of preference by similarity index multi-criteria approach [42][43][44][45][46][47][48], generalized trapezoidal approach [44,45], data envelopment analysis [46,47], set theory [9,24], agent based modelling [9], and quality-function deployment [49]. Vinodh and Aravindraj [40] suggested strategies and responsibilities related to workforce and technology to evaluate supply chain performance.…”

Section: Supply Chain Sustainable Agility Evaluation: a Brief Reviewmentioning

confidence: 99%

An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization

2021

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Worldwide business organizations realize that agility of sustainable supply-chain is a requisite need for survival in a dynamic, competitive, and unpredictable market. The contribution of this research is to explore and evaluate sustainable agility in supply chains for a dairy manufacturing organization located in Saudi Arabia. Other contributions of this research are to update the literature about the different factors contributing to achieve agile supply chain, propose conceptual framework and assessment approach incorporating the relationships between sustainable supply-chain capabilities, enablers, and attributes, and shortlisting the agility barriers and how they would facilitate manufacturing organizations’ performance. The paper presents supply chain agility evaluation approach, which covers identification of agile supply-chain capabilities and drivers. It also presents a conceptual model and a framework to define agility level and barriers within the supply-chain. In the paper, fuzzy logic approach is preferred, owing to its capability to incorporate and deal with problems involving impreciseness and vagueness phenomena. Threshold-value in this study for the case organization is set to 0.24829. The outcome of the adopted approach indicates that 21 attributes performed below the threshold value; these attributes are further categorized as agility barriers. These are the barriers within their supply chain that impact the agility-level. For the case organization, the foremost priority is to enhance maintainability and serviceability to make it flexible and inexpensive to establish an agile responsive supply chain. At the same time, it should have priority to focus on development and integration of their core competencies to deal with cross-functional and cross-enterprise issues in supply chain. For the case organization, the agility level was found “very agile,” although it is below the “extremely agile.” Thus, a study was developed to understand the behaviour of the supply chain agility and assess/evaluate it to support decision makers in order to develop a strategic solution for different organizational barriers.

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Section: Supply Chain Sustainable Agility Evaluation: a Brief Reviewmentioning

confidence: 99%

An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization

2021

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“…Abdullah and Otheman (2017) proposed a modified technique with interval type-2 fuzzy sets and the linguistic weighted average operator to handle the problem of supplier selection. Samantra et al (2013) adopted an approach based on generalized trapezoidal fuzzy sets to evaluate the agility of SC. Cigolini and Rossi (2008) investigated a method by applying fuzzy sets to assess SC integration.…”

Section: Other Fuzzy Methodsmentioning

confidence: 99%

“…Khalili-Damghani and Tavana (2013) proposed a network-based DEA model to measure the performance of agility in SCs. Samantra et al (2013) adopted an approach based on generalized trapezoidal fuzzy sets to evaluate the agility in SC. Woo and Saghiri (2011) presented a fuzzy multiple-objective mixed-integer programming problem to address different features of order assignment problems.…”

Section: Applications Of Fuzzy Techniques In Scmmentioning

confidence: 99%

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

Liao

Zavadskas

2021

Technological and Economic Development of Economy

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Every practice in supply chain management (SCM) requires decision making. However, due to the complexity of evaluated objects and the cognitive limitations of individuals, the decision information given by experts is often fuzzy, which may make it difficult to make decisions. In this regard, many scholars applied fuzzy techniques to solve decision making problems in SCM. Although there were review papers about either fuzzy methods or SCM, most of them did not use bibliometrics methods or did not consider fuzzy sets theory-based techniques comprehensively in SCM. In this paper, for the purpose of analyzing the advances of fuzzy techniques in SCM, we review 301 relevant papers from 1998 to 2020. By the analyses in terms of bibliometrics, methodologies and applications, publication trends, popular methods such as fuzzy MCDM methods, and hot applications such as supplier selection, are found. Finally, we propose future directions regarding fuzzy techniques in SCM. It is hoped that this paper would be helpful for scholars and practitioners in the field of fuzzy decision making and SCM.

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“…Jain et al [25] have identified a set of eight key attributes of supply chain agility. Vinodh and Prasanna [26] and Samantra et al [27] have also contributed to this topic. The agile attributes/ capabilities identified in these studies provide a basis to further address the factors that contribute to achieving supply chain agility.…”

Section: Related Literaturementioning

confidence: 96%

Developing a practical evaluation framework for identifying critical factors to achieve supply chain agility

2015

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Agility appraisal for integrated supply chain using generalized trapezoidal fuzzy numbers set

Cited by 23 publications

References 26 publications

An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization

An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

Developing a practical evaluation framework for identifying critical factors to achieve supply chain agility

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