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Journal ArticleDOI: 10.1080/00207543.2020.1798033

Business continuity-inspired resilient supply chain network design

04 Mar 2021-International Journal of Production Research (Informa UK Limited)-Vol. 59, Iss: 5, pp 1331-1367
Abstract: Supply chains are prone to several operational and disruption risks. In order to design a resilient supply chain network capable of responding to such potential risks suitably, this paper proposes ...

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Topics: Supply chain network (70%), Supply chain (64%), Business continuity (61%) ... read more

12 results found

Open access
01 Nov 2008-
Abstract: The potential for long-term facility loss has important implications for the reliability of service/supply networks. In order to design a coverage-type service network that is robust to the worst instances of facility loss, we develop a location-interdiction covering model that maximizes a combination of 1) initial coverage given p facilities and 2) the minimum coverage level following the loss of any subset of facilities r < p. The problem is formulated both as a mixed integer program and as a bilevel mixed integer program. To solve the bilevel program optimally, a decomposition algorithm is presented, whereby the original bilevel program is decoupled into an upper level master problem and a lower level subproblem. After sequentially solving these problems, information is fed back to the upper level master by appending supervalid inequalities, which attempt to force the upper level master away from clearly dominated solutions. Supervalid inequalities, unlike standard valid inequalities used in cutting plane algorithms, cut away parts of the feasible region but are guaranteed not to remove all optimal solutions unless an optimal solution has already been found. Computational results show that when solved to optimality, bilevel decomposition is up to several orders of magnitude faster than performing branch and bound on the mixed integer program. All interested are welcome – For further information, please visit, or call 34115056.

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Topics: Feasible region (56%), Branch and bound (54%)

96 Citations

Open access
Thomas G. Schmitt1, Sanjay Kumar2, Kathryn E. Stecke3, Fred Glover  +1 moreInstitutions (4)
01 Jan 2016-
Abstract: Supply chains often experience significant economic losses from disruptions such as facility breakdowns, transportation mishaps, natural calamities, and intentional attacks To help respond and recover from a disruption, we investigate adjustments in order activity across four echelons including assembly Simulation experiments reveal that the impact of a disruption depends on its location, with costlier and longer lasting impacts occurring from disruptions at echelons close to ultimate consumption Cost functions based on system inventory and service can be quite ill-behaved in these complex problem settings Expediting, an adaptive ordering approach often used to mitigate disruptions, can trigger unintended bullwhip effects, and hurt rather than help overall performance As an alternative to expediting interventions, dynamic order-up-to policies show promise as an adaptive mitigation tool We also find benefits in the dynamic policies from incorporating a metaheuristic parameter search over multiple echelons, yielding significantly better solution quality than embedded unimodal search

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Topics: Expediting (56%), Supply chain (51%)

74 Citations

Journal ArticleDOI: 10.1080/00207543.2021.1890852
Dmitry Ivanov1Institutions (1)
Abstract: The COVID-19 pandemic has challenged supply chains (SC) on an unprecedented scale testing viability and adaptation under severe uncertainty. However, the literature on the adaptation strategies and...

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Topics: Supply chain (52%)

30 Citations

Open accessBook
01 Jan 2019-
Abstract: This book offers an introduction to the ripple effect in the supply chain for larger audience. Ripple effect describes the impact of a disruption propagation on SC performance and disruption-based scope of changes in SC structural design and planning parameters. As the result of the ripple effect SC structures change. It is different from the bullwhip-effect that affect the SC at the operational level by mismatching demand and supply without structural changes in the SC design, i.e., without SC structural dynamics

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Topics: Supply chain (57%), Ripple (55%)

26 Citations

Journal ArticleDOI: 10.1016/J.JBUSRES.2021.07.062
Xinxin Wang1, Zeshui Xu1, Yong Qin1, Marinko Škare2Institutions (2)
Abstract: Scientific research on service networks for sustainable business (SN-SB) and its impact on business and economics has been growing in recent years. The first document was published in 1968, and the SN-SB research has lasted over half a century. This paper offers a comprehensive bibliometric analysis of the academic literature published between 1968 and 2019 with regards to the SN-SB research in 2,366 publications from Web of Science. By applying different bibliometric analyses, such as performance analysis, cooperation analysis, co-occurrence analysis, burst detection analysis, and timeline view analysis, we have presented the fundamental characteristics of these publications, and identified the most influential countries/regions, institutions, and authors, as well as the evolution of the keywords these years. More discussions including popular issues in current study, challenges and avenues for future research, implications, and limitations are conducted to address the existing gaps in knowledge. This paper helps in understanding the evolution of the SN-SB research from the perspective of the bibliometric and inspires researchers to think from multiple aspects in this field.

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Topics: Sustainable business (53%), Timeline (51%)

4 Citations


125 results found

Journal ArticleDOI: 10.1016/S0165-0114(99)80004-9
Lotfi A. Zadeh1Institutions (1)
Abstract: The theory of possibility described in this paper is related to the theory of fuzzy sets by defining the concept of a possibility distribution as a fuzzy restriction which acts as an elastic constraint on the values that may be assigned to a variable. More specifically, if F is a fuzzy subset of a universe of discourse U={u} which is characterized by its membership function μF, then a proposition of the form “X is F,” where X is a variable taking values in U, induces a possibility distribution ∏X which equates the possibility of X taking the value u to μF(u)—the compatibility of u with F. In this way, X becomes a fuzzy variable which is associated with the possibility distribution ∏x in much the same way as a random variable is associated with a probability distribution. In general, a variable may be associated both with a possibility distribution and a probability distribution, with the weak connection between the two expressed as the possibility/probability consistency principle. A thesis advanced in this paper is that the imprecision that is intrinsic in natural languages is, in the main, possibilistic rather than probabilistic in nature. Thus, by employing the concept of a possibility distribution, a proposition, p, in a natural language may be translated into a procedure which computes the probability distribution of a set of attributes which are implied by p. Several types of conditional translation rules are discussed and, in particular, a translation rule for propositions of the form “X is F is α-possible,” where α is a number in the interval [0, 1], is formulated and illustrated by examples.

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8,549 Citations

Open accessJournal ArticleDOI: 10.1108/09574090410700275
Martin Christopher1, Helen Peck1Institutions (1)
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.

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Topics: Supply chain risk management (74%), Supply chain (67%), Service management (63%) ... read more

2,012 Citations

Open accessJournal Article
Sunil Chopra1, ManMohan S. Sodhi2Institutions (2)
Abstract: Natural disasters, labor disputes, terrorism and more mundane risks can seriously disrupt or delay the flow of material, information and cash through an organization's supply chain The authors assert that how well a company fares against such threats will depend on its level of preparedness, and the type of disruption Each supply-chain risk to forecasts, information systems, intellectual property, procurement, inventory and capacity has its own drivers and effective mitigation strategies To avoid lost sales, increased costs or both, managers need to tailor proven risk-reduction strategies to their organizations Managing supply-chain risk is difficult, however Dell, Toyota, Motorola and other leading manufacturers excel at identifying and neutralizing supply-chain risks through a delicate balancing act: keeping inventory, capacity and related elements at appropriate levels across the entire supply chain in a rapidly changing environment Organizations can prepare for or avoid delays by "smart sizing" their capacity and inventory The manager serves as a kind of financial portfolio manager, seeking to achieve the highest achievable profits (reward) for varying levels of supply-chain risk The authors recommend a powerful "what if?" team exercise called "stress testing" to identify potentially weak links in the supply chain Armed with this shared understanding, companies can then select the best mitigation strategy: holding "reserves," pooling inventory, using redundant suppliers, balancing capacity and inventory, implementing robust backup and recovery systems, adjusting pricing and incentives, bringing or keeping production in-house, and using Continuous Replenishment Programs (CRP), Collaborative Planning, Forecasting and Replenishment (CPFR) and other supply-chain initiatives

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Topics: Supply chain (59%), Procurement (53%)

1,653 Citations

Journal ArticleDOI: 10.1109/TFUZZ.2002.800692
Baoding Liu1, Yian-Kui Liu1Institutions (1)
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.

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Topics: Fuzzy number (74%), Fuzzy set operations (72%), Fuzzy classification (71%) ... read more

1,607 Citations

Journal ArticleDOI: 10.1111/J.1937-5956.2005.TB00009.X
Abstract: There are two broad categories of risk affecting supply chain design and management: (1) risks arising from the problems of coordinating supply and demand, and (2) risks arising from disruptions to normal activities. This paper is concerned with the second category of risks, which may arise from natural disasters, from strikes and economic disruptions, and from acts of purposeful agents, including terrorists. The paper provides a conceptual framework that reflects the joint activities of risk assessment and risk mitigation that are fundamental to disruption risk management in supply chains. We then consider empirical results from a rich data set covering the period 1995–2000 on accidents in the U. S. Chemical Industry. Based on these results and other literature, we discuss the implications for the design of management systems intended to cope with supply chain disruption risks.

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Topics: Supply chain risk management (69%), Supply chain (60%), Risk management (58%) ... read more

1,581 Citations