DOI•
A Resilient Supply Chain Network Design Model with a Novel Fuzzy Programming Method under Uncertainty and Disruptions: A Real Industrial Approach
01 Nov 2018-Vol. 3, Iss: 2, pp 27-50
TL;DR: In the present research, a new model of resilient supply chain network is introduced in a critical condition, which consists in a combination of reactive and preventive resilient strategies, and an effective hybrid possibilistic-flexible robust programming method was presented.
Abstract: Nowadays, the design of a strategic supply chain network under the incidence of disruption is regarded as one of the important priorities of governments. Supplying sustainable petrochemical products is considered as a strategic goal by managers who require reliable infrastructure design. Crisis conditions such as natural disasters and sanctions have a destructive effect on the raw materials and product flows. On the other hand, the uncertainty of input parameters affects the business environment and intensifies the condition of disruption. In the present research, a new model of resilient supply chain network is introduced in a critical condition, which consists in a combination of reactive and preventive resilient strategies. In order to deal with the parametric uncertainties caused by changes in the business environment and inadequate knowledge, an effective hybrid possibilistic-flexible robust programming method was presented. The proposed model was capable of controlling the adverse effects of uncertainties and risk-aversion level of output decisions. The extended model was analyzed in the national project of polyethylene strategic supply chain network using real data, which included the flexibility of demand, capacity, and lead time components. The results indicated that optimality and feasibility robustness were guaranteed by presenting efficiency solutions.
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03 Sep 2020
TL;DR: In this article, the authors used Fuzzy decision-making trial and evaluation laboratory (DEMATEL)-based (DANP) technique and MATLAB software was used for analysis.
Abstract: The purpose of this paper is to find and prioritize human factors affecting entrepreneurial resilience.,The statistical population consists of prominent Iranian university professors in this field, and the statistical sample is ten of them randomly. A researcher-made questionnaire was used for data collection. After a comprehensive review of the theoretical foundations, the research model was formed with 5 main indices and 21 sub-indices. Fuzzy decision-making trial and evaluation laboratory (DEMATEL)-based (DANP) technique and MATLAB software was used for analysis.,Indicators of Values and Beliefs (A3) and Motivation Index (E5) as Influential Indicators and indicators of personal attributes (S1), formal and informal relationships (R2) and human capital (C4) are effective indicators of entrepreneurial resilience. In the final rankings, formal and informal relationships had the highest weight with 0.263 and the lowest with priority and motivation index with 0.080. In addition to the final rankings of the sub-indices, the indicators of first-hand experience, recognition of opportunities and consulting services were given the highest weight.,This study proposes that resilience is a real-life process and not just a list of each characteristic. All human beings have an innate ability to be resilient, but resilience is a learned and learned behavior, and the emphasis of experts is on the learning of various resilience skills.,This study contributes to the field of entrepreneurship by examining the institutional backgrounds of entrepreneurship resilience.
15 citations
TL;DR: In this article , the authors provide a comprehensive review of recent literature on resilient supply chain network design (RSCND) and identify the gaps and limitations of existing literature and propose a list of potential issues for future research directions.
10 citations
References
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TL;DR: In today's uncertain and turbulent markets, supply chain vulnerability has become an issue of significance for many companies as discussed by the authors, and the challenge to business today is to manage and mitigate that risk through creating more resilient supply chains.
Abstract: In today's uncertain and turbulent markets, supply chain vulnerability has become an issue of significance for many companies. As supply chains become more complex as a result of global sourcing and the continued trend to “leaning‐down”, supply chain risk increases. The challenge to business today is to manage and mitigate that risk through creating more resilient supply chains.
2,440 citations
"A Resilient Supply Chain Network De..." refers background in this paper
...(Christopher and Peck 2004) proposed some principles for designing a resilient supply chain network, including the implementation of supply chain strategies with multiple choices, reviewing the balance of efficiency and redundancy, developing cooperation at the level of supply chain network to…...
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...(Christopher and Peck 2004) proposed some principles for designing a resilient supply chain network, including the implementation of supply chain strategies with multiple choices, reviewing the balance of efficiency and redundancy, developing cooperation at the level of supply chain network to reduce risk, developing observability at upstream and downstream supply chain levels, and improving the supply chain speed with focus on principal indicators such as lead time....
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TL;DR: A novel concept of expected values of fuzzy variables is presented, which is essentially a type of Choquet integral and coincides with that of random variables, and is designed to calculate the expected value of general fuzzy variable.
Abstract: This paper will present a novel concept of expected values of fuzzy variables, which is essentially a type of Choquet integral and coincides with that of random variables. In order to calculate the expected value of general fuzzy variable, a fuzzy simulation technique is also designed. Finally, we construct a spectrum of fuzzy expected value models, and integrate fuzzy simulation, neural network, and genetic algorithms to produce a hybrid intelligent algorithm for solving general fuzzy expected value models.
1,734 citations
Additional excerpts
...Therefore, the following fuzzy relations are established (Liu & Liu, 2002; Zhang & Huang, 2010): 𝐶𝑟 {∑𝑘𝑖 𝑖 𝜁𝑖 ≤ 𝑟} ≥ β ⟺ (2β − 1)∑𝑘𝑖 𝑖 𝜁𝑖 3 + 2(1 − β)∑𝑘𝑖 𝑖 𝜁𝑖 2 ≤ 𝑟 (42) 𝐶𝑟 {∑𝑘?...
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TL;DR: The study of a single-product setting in which a firm can source from two suppliers, one that is unreliable and another that is reliable but more expensive, finds that contingent rerouting is often a component of the optimal disruption-management strategy, and that it can significantly reduce the firms costs.
Abstract: We study a single-product setting in which a firm can source from two suppliers, one that is unreliable and another that is reliable but more expensive. Suppliers are capacity constrained, but the reliable supplier may possess volume flexibility. We prove that in the special case in which the reliable supplier has no flexibility and the unreliable supplier has infinite capacity, a risk-neutral firm will pursue a single disruption-management strategy: mitigation by carrying inventory, mitigation by single-sourcing from the reliable supplier, or passive acceptance. We find that a suppliers percentage uptime and the nature of the disruptions (frequent but short versus rare but long) are key determinants of the optimal strategy. For a given percentage uptime, sourcing mitigation is increasingly favored over inventory mitigation as disruptions become less frequent but longer. Further, we show that a mixed mitigation strategy (partial sourcing from the reliable supplier and carrying inventory) can be optimal if the unreliable supplier has finite capacity or if the firm is risk averse.
Contingent rerouting is a possible tactic if the reliable supplier can ramp up its processing capacity, that is, if it has volume flexibility. We find that contingent rerouting is often a component of the optimal disruption-management strategy, and that it can significantly reduce the firms costs. For a given percentage uptime, mitigation rather than contingent rerouting tends to be optimal if disruptions are rare.
1,507 citations
"A Resilient Supply Chain Network De..." refers background in this paper
...Such behavior is defined within the framework of corrective or reactive strategies, which impose financial burdens and political and social threats on governments (Tomlin, 2006)....
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TL;DR: In this paper, the authors present an integrated perspective on resilience through an extensive review of the literature in a number of disciplines including developmental psychology and ecosystems, identifying and addressing some of the current theoretical gaps in the existing research.
Abstract: Purpose – In the emerging disciplines of risk management and supply chain management, resilience is a relatively undefined concept. The purpose of this paper is to present an integrated perspective on resilience through an extensive review of the literature in a number of disciplines including developmental psychology and ecosystems. In addition, the paper identifies and addresses some of the current theoretical gaps in the existing research.Design/methodology/approach – Supply chain resilience has been defined by a number of disciplines. An integrative literature review is conducted in an attempt to integrate existing perspectives. This review also serves as the basis for the development of a conceptual model.Findings – The key elements of supply chain resilience and the relationships among them, the links between risks and implications for supply chain management, and the methodologies for managing these key issues are poorly understood. Implications for future research advocate testing the proposed mod...
1,373 citations
"A Resilient Supply Chain Network De..." refers background in this paper
...(Ponomarov & Holcomb 2009) emphasized some strategies such as the integration, cohesion, and the communication between supply chain logistics capabilities, which were based on a reactive approach to dealing with disruptions....
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TL;DR: A function to help in the ordering of fuzzy subsets of the unit interval is introduced, which is the integral of the mean of the level sets associated with the fuzzy subset.
1,302 citations
Additional excerpts
...̃?, and Θ̃, which are defined, for example, as relations (ξ 𝜌 = 𝜌3 − 𝜌2) and (ξ𝜌 ′ = 𝜌2 − 𝜌1) (Yager, 1981)....
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...Also, υτ, υτ ′ ; ξ ρ , ξ ρ ′ ; and χΘ, χΘ ′ are the marginal distances of the triangular fuzzy numbers ?̃?, ?̃?, and Θ̃, which are defined, for example, as relations (ξ ρ = ρ3 − ρ2) and (ξρ ′ = ρ2 − ρ1) (Yager, 1981)....
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