A capability approach to evaluate supply chain flexibility

Seebacher, Gottfried; Winkler, Herwig

doi:10.1016/j.ijpe.2015.05.035

Cited by 55 publications

(42 citation statements)

References 69 publications

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“…In contrast, Companies B and C do not have these issues and can be more flexible with their labor. Seebacher and Winkler (2015) stated that companies need an approach that allows an ongoing and feasible measuring of SCF to evolve their flexibility according to their goals. However, the findings show that the studied companies do not consider flexibility measures.…”

Section: Discussionmentioning

confidence: 99%

Lessons from empirical studies in supply chain flexibility: a maturity perspective

Mello

Hellingrath

Martins

2019

BJO&PM

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Goal: To analyze supply chain flexibility (SCF) within real-life settings from a maturity perspective and provide a discussion on the importance of a maturity model for SCF. Design/Methodology/Approach: A multiple case study was conducted in multinational manufacturing companies from different business sectors, offering a within-case and cross-case analysis. Results: The empirical evidence revealed that the studied companies do not consider flexibility measures. This absence renders difficulties when striving for external flexibility, for instance, affecting planning and control activities. Furthermore, the conducted analysis showed that sharing information among supply chain members has a significant impact on the identification of changes in the processes, enabling a correct and quick reaction to these changes. Limitations of the investigation: The results are restricted to the studied companies; therefore, the SCF maturity model deserves more application through the development of more empirical investigations. Practical implications: This is a guide for practitioners to identify the current maturity level of their SCF, and subsequently improve the processes, aiming to achieve the desired result. Originality/Value: This paper addresses the lack of theoretical and empirical studies in the literature regarding the analysis of SCF maturity and its different levels, thus enabling practitioners and researchers to improve the understanding of maturity in the SCF context.

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Section: Discussionmentioning

confidence: 99%

Lessons from empirical studies in supply chain flexibility: a maturity perspective

Mello

Hellingrath

Martins

2019

BJO&PM

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“…Current MCDM tools are very limited when it comes to the measurement of supply chain level flexibility indices. A highly complex decision environment associated with green supply chain flexibility cause method-and data-related restrictions that hinder practical application of many MCDM methods (Seebacher & Winkler, 2015). Green supply chain flexibility, especially for maintaining resilience and reducing risk, is an emerging practical and research issue.…”

Section: Methods For Measuring and Evaluating Flexibilitymentioning

confidence: 99%

Evaluating Complex Decision and Predictive Environments: The Case of Green Supply Chain Flexibility

Bai

Sarkis

2018

Technological and Economic Development of Economy

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Supply chain flexibility is an important operations strategy dimension for organizations to achieve and maintain competitive advantage. With rising greener customer expectations and increasingly stringent environmental regulations, green supply chains are now viewed as another competitive weapon. Green supply chains are characterized by higher complexity and turbulence. Green supply chain flexibility can aid organizations function in this complex and uncertain environment, yet investigation into this area is very limited. This paper aims contribute to this field by investigating green supply chain flexibility achievement through information systems. This paper introduces a green supply chain flexibility matrix framework. Given the large data needs, as described in the matrix, a novel probability evaluation methodology that can help predict rankings of projects and programs is introduced. The methodology extends a TOPSIS based three-parameter interval grey number (TpGN) approach by incorporating neighborhood rough set theory (RST) to evaluate IS programs’ green flexibility support capability. The results of this methodology are more objective and effective for two reasons. (1) The results are predictive rankings based on probability degree instead of the fixed deterministic ranks. (2) Neighborhood rough set theory used in this study can limit loss of information when compared to rough set theory, yet still simplify extensive data sets. This paper also identifies study limitations and future research directions for green supply chain flexibility.

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“…Credibility is the basis and prerequisite of enterprise cooperation [78]. Corporate reputation and customer satisfaction are the foundation of enterprise survival and development [79]. It assesses the ability to provide solutions/services/products of highest quality with less cost to customers, leading to higher customer satisfaction [80].…”

Section: The Evaluation Criteria Of Supply Chain Partner Selection Unmentioning

confidence: 99%

Supply Chain Partner Selection under Cloud Computing Environment: An Improved Approach Based on BWM and VIKOR

Liu

Zhang

2018

Mathematical Problems in Engineering

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The wide application of cloud computing technology makes supply chain partner share information effectively and increase corporate profits. However, in cloud computing environment, the evaluation process of supply chain partner selection is dynamic and fuzzy, and its evaluation index is uncertain. To solve these problems, this paper proposes a new method combed with rough number, best-worst multicriteria decision-making method (BWM), and compromise ranking method (VIKOR). Firstly, Rough number is used to integrate data from different evaluation matrix. Secondly, rough number improves a new method, BWM, to get RBWM criteria weight methods. Thirdly, the rough numbers are introduced into VIKOR and combined with RBWM to evaluate and sort the supply chain partners. Finally, an example is given to demonstrate the rationality and feasibility of the method.

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A capability approach to evaluate supply chain flexibility

Cited by 55 publications

References 69 publications

Lessons from empirical studies in supply chain flexibility: a maturity perspective

Lessons from empirical studies in supply chain flexibility: a maturity perspective

Evaluating Complex Decision and Predictive Environments: The Case of Green Supply Chain Flexibility

Supply Chain Partner Selection under Cloud Computing Environment: An Improved Approach Based on BWM and VIKOR

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