The Experts below are selected from a list of 28281 Experts worldwide ranked by ideXlab platform
Stanley E Griffis - One of the best experts on this subject based on the ideXlab platform.
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Supply Chain Risk and resilience theory building through structured experiments and simulation
International Journal of Production Research, 2018Co-Authors: John R Macdonald, Christopher W Zobel, Steven A Melnyk, Stanley E GriffisAbstract:The research literature of Supply Chain Risk and resilience is at a critical developmental stage. Studies have established the importance of these topics both to researchers and practitioners. They...
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Supply Chain Risk and resilience theory building through structured experiments and simulation
International Journal of Production Research, 2018Co-Authors: John R Macdonald, Christopher W Zobel, Steven A Melnyk, Stanley E GriffisAbstract:The research literature of Supply Chain Risk and resilience is at a critical developmental stage. Studies have established the importance of these topics both to researchers and practitioners. They also have identified factors contributing to Risk, the impact of Risk and disruptions on performance, and the strategies and tactics used to build the capacity for Supply Chain resilience. Although these efforts can provide support for constructing a theory of Risk and resilience, researchers are currently restricted in their ability to build such a theory by the difficulty of collecting the necessary data. This paper contributes to this literature development effort by summarising prior research reviews and developing a three-component framework aimed at helping researchers to build better theories. This is accomplished through combining structured experimental design with discrete-event simulations of Supply Chains. The result is a methodology that allows researchers to develop better understanding of the factors that link a disruption to its impact on Supply Chain performance through both direct and interaction effects. Following the methodology development, the paper concludes with an example using the factors of shock interarrival time, Supply Chain connectivity and buffer stocks to illustrate the potential for contributing to the theory-building process.
John R Macdonald - One of the best experts on this subject based on the ideXlab platform.
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Supply Chain Risk and resilience theory building through structured experiments and simulation
International Journal of Production Research, 2018Co-Authors: John R Macdonald, Christopher W Zobel, Steven A Melnyk, Stanley E GriffisAbstract:The research literature of Supply Chain Risk and resilience is at a critical developmental stage. Studies have established the importance of these topics both to researchers and practitioners. They...
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Supply Chain Risk and resilience theory building through structured experiments and simulation
International Journal of Production Research, 2018Co-Authors: John R Macdonald, Christopher W Zobel, Steven A Melnyk, Stanley E GriffisAbstract:The research literature of Supply Chain Risk and resilience is at a critical developmental stage. Studies have established the importance of these topics both to researchers and practitioners. They also have identified factors contributing to Risk, the impact of Risk and disruptions on performance, and the strategies and tactics used to build the capacity for Supply Chain resilience. Although these efforts can provide support for constructing a theory of Risk and resilience, researchers are currently restricted in their ability to build such a theory by the difficulty of collecting the necessary data. This paper contributes to this literature development effort by summarising prior research reviews and developing a three-component framework aimed at helping researchers to build better theories. This is accomplished through combining structured experimental design with discrete-event simulations of Supply Chains. The result is a methodology that allows researchers to develop better understanding of the factors that link a disruption to its impact on Supply Chain performance through both direct and interaction effects. Following the methodology development, the paper concludes with an example using the factors of shock interarrival time, Supply Chain connectivity and buffer stocks to illustrate the potential for contributing to the theory-building process.
Abraham Zhang - One of the best experts on this subject based on the ideXlab platform.
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agribusiness Supply Chain Risk management a review of quantitative decision models
Omega-international Journal of Management Science, 2017Co-Authors: Golnar Behzadi, Michael Osullivan, Tava Lennon Olsen, Abraham ZhangAbstract:Supply Chain Risk management is a large and growing field of research. However, within this field, mathematical models for agricultural products have received relatively little attention. This is somewhat surprising as Risk management is even more important for agricultural Supply Chains due to challenges associated with seasonality, Supply spikes, long Supply lead-times, and perishability. This paper carries out a thorough review of the relatively limited literature on quantitative Risk management models for agricultural Supply Chains. Specifically, we identify robustness and resilience as two key techniques for managing Risk. Since these terms are not used consistently in the literature, we propose clear definitions and metrics for these terms; we then use these definitions to classify the agricultural Supply Chain Risk management literature. Implications are given for both practice and future research on agricultural Supply Chain Risk management.
Tobias Schoenherr - One of the best experts on this subject based on the ideXlab platform.
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Supply Chain Risk management in financial crises a multiple case study approach
International Journal of Production Economics, 2011Co-Authors: Constantin Blome, Tobias SchoenherrAbstract:Supply Chain Risk Management has become a key concern for organizations, which is even further emphasized by the current economic and financial crisis. Against this background, this paper investigates successful approaches and experiences by companies in dealing with this new reality, especially as it concerns the Supply side. Using in-depth case studies conducted among eight European enterprises, we develop a set of propositions about how companies manage Supply Risks in financial crises, highlight how their Risk management approaches have shifted, and illustrate how they are related to Enterprise Risk Management. Our framework is further differentiated based on whether firms are predominantly engaged in manufacturing or services—a factor influencing how Supply Chain Risk is managed. Transaction cost economics serves as our main theoretical anchor. By rigorously grounding our research in both theory and empirical evidence, we provide valuable insight for both academia and practice.
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assessing and managing Risks using the Supply Chain Risk management process scrmp
Supply Chain Management, 2011Co-Authors: V Rao M Tummala, Tobias SchoenherrAbstract:Purpose – The purpose of this paper is to propose a comprehensive and coherent approach for managing Risks in Supply Chains.Design/methodology/approach – Building on Tummala et al.'s Risk Management Process (RMP), this paper develops a structured and ready‐to‐use approach for managers to assess and manage Risks in Supply Chains.Findings – Supply Chain Risks can be managed more effectively when applying the Supply Chain Risk Management Process (SCRMP). The structured approach can be divided into the phases of Risk identification, Risk measurement and Risk assessment; Risk evaluation, and Risk mitigation and contingency plans; and Risk control and monitoring via data management systems. Specific techniques for conducting this process are suggested.Originality/value – While Supply Chain Risk management is an emerging and important topic in our dynamic and interconnected world, conceptual frameworks providing a clear meaning and normative guidance are scarce (Manuj and Mentzer, 2008). This paper presents such...
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assessing and managing Risks using the Supply Chain Risk management process scrmp
2011Co-Authors: V Rao M Tummala, Tobias SchoenherrAbstract:Purpose: This paper proposes a comprehensive and coherent approach for managing Risks in Supply Chains. Methodology/Approach: Building on Tummala et al.’s (1994) Risk Management Process (RMP) this paper develops a structured and ready-to-use approach for managers to assess and manage Risks in Supply Chains. Findings: Supply Chain Risks can be managed more effectively when applying the Supply Chain Risk Management Process (SCRMP). The structured approach can be divided in the phases of Risk identification, Risk measurement and Risk assessment; Risk evaluation, and Risk mitigation and contingency plans; and Risk control and monitoring via data management systems. Specific techniques for conducting this process are suggested.Originality/value of paper: While Supply Chain Risk management is an emerging and important topic in our dynamic and interconnected world, conceptual frameworks providing a clear meaning and normative guidance are scarce (Manuj and Mentzer, 2008). This paper presents such a framework, offering structure and decision support for managers.
Ravi Shankar - One of the best experts on this subject based on the ideXlab platform.
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Supply Chain Risk mitigation modeling the enablers
Business Process Management Journal, 2006Co-Authors: Mohd Nishat Faisal, D K Banwet, Ravi ShankarAbstract:Purpose – Supply Chain Risk management assumes importance in the wake of organizations understanding that their Risk susceptibility is dependent on other constituents of their Supply Chain. The purpose of this paper is to present an approach to effective Supply Chain Risk mitigation by understanding the dynamics between various enablers that help to mitigate Risk in a Supply Chain.Design/methodology/approach – Using interpretive structural modeling the research presents a hierarchy‐based model and the mutual relationships among the enablers of Risk mitigation.Findings – The research shows that there exists a group of enablers having a high driving power and low dependence requiring maximum attention and of strategic importance while another group consists of those variables which have high dependence and are the resultant actions.Practical implications – This classification provides a useful tool to Supply Chain managers to differentiate between independent and dependent variables and their mutual relatio...
