OR/MS models for supply chain disruptions: a review

Snyder, Lawrence; Atan, Zümbül; Peng, Peng; Rong, Ying; Schmitt, Amanda J.; Sinsoysal, Burcu

doi:10.1080/0740817x.2015.1067735

Cited by 603 publications

(362 citation statements)

References 172 publications

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“…They showed that when demand is deterministic and supply is disrupted, a decentralized inventory reduces cost variance through the risk diversification effect and that a decentralized inventory may also be selected when supply is disrupted and demand is stochastic. A recent literature review on OR/MS models for supply chain disruptions was presented by Snyder et al [22]. They discussed 180 scholarly works on the topic, organized into six categories: evaluating supply disruptions, strategic decisions, sourcing decisions, contracts and incentives, inventory, and facility location.…”

Section: Literature Reviewmentioning

confidence: 99%

Stochastic versus Deterministic Approach to Coordinated Supply Chain Scheduling

Sawik

2017

Mathematical Problems in Engineering

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The purpose of this paper is to consider coordinated selection of supply portfolio and scheduling of production and distribution in supply chains under regional and local disruption risks. Unlike many papers that assume the all-or-nothing supply disruption pattern, in this paper, only the regional disruptions belong to the all-or-nothing disruption category, while for the local disruptions all disruption levels can be considered. Two biobjective decision-making models, stochastic, based on the wait-and-see approach, and deterministic, based on the expected value approach, are proposed and compared to optimize the trade-off between expected cost and expected service. The main findings indicate that the stochastic programming wait-and-see approach with its ability to handle uncertainty by probabilistic scenarios of disruption events and the much simpler expected value problem, in which the random parameters are replaced by their expected values, lead to similar expected performance of a supply chain under multilevel disruptions. However, the stochastic approach, which accounts for all potential disruption scenarios, leads to a more diversified supply portfolio that will hedge against a variety of scenarios.

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Section: Literature Reviewmentioning

confidence: 99%

Stochastic versus Deterministic Approach to Coordinated Supply Chain Scheduling

Sawik

2017

Mathematical Problems in Engineering

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“…Several robust strategies and approaches have been proposed to relieve the efficacies of SC interruptions and improve the efficiency of SC and its logistics at disturbance conditions. For more study, the scholar is referred to the review by Snyder et al (2006Snyder et al ( , 2016.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing a capacitated multi-configuration logistics network under disturbances and parameter uncertainty: a real-world case of a drug supply chain

Shishebori

Babadi

2017

J Ind Eng Int

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This study investigates the reliable multi-configuration capacitated logistics network design problem (RMCLNDP) under system disturbances, which relates to locating facilities, establishing transportation links, and also allocating their limited capacities to the customers conducive to provide their demand on the minimum expected total cost (including locating costs, link constructing costs, and also expected costs in normal and disturbance conditions). In addition, two types of risks are considered; (I) uncertain environment, (II) system disturbances. A two-level mathematical model is proposed for formulating of the mentioned problem. Also, because of the uncertain parameters of the model, an efficacious possibilistic robust optimization approach is utilized. To evaluate the model, a drug supply chain design (SCN) is studied. Finally, an extensive sensitivity analysis was done on the critical parameters. The obtained results show that the efficiency of the proposed approach is suitable and is worthwhile for analyzing the real practical problems.

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“…Govindan and Jepsen (2016) review the risks related to suppliers in service supply chains. Snyder et al (2016) examine operations management literature on supply chain disruptions and provide an overview of the research within six supply chain processes.…”

Section: Supply Chain Operations Processesmentioning

confidence: 99%

“…What is worse, multiple types of random factors and disruptions coexist and combine with each other, which may cause further damage to supply chains in today's complex business environments (Arena et al 2010(Arena et al , 2011Wu et al 2014). In response, both industry and academia are striving to develop and to implement new operations research solutions to better manage the supply chain risks (Heckmann et al 2015;Snyder et al 2016;Lawrence et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Innovative supply chain optimization models with multiple uncertainty factors

Choi

Govindan

et al. 2017

Ann Oper Res

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Uncertainty is an inherent factor that affects all dimensions of supply chain activities. In today's business environment, initiatives to deal with one specific type of uncertainty might not be effective since other types of uncertainty factors and disruptions may be present. These factors relate to supply chain competition and coordination. Thus, to achieve a more efficient and effective supply chain requires the deployment of innovative optimization models and novel methods. This preface provides a concise review of critical research issues regarding innovative supply chain optimization models with multiple uncertainty factors. It also introduces the special issue's research papers and their respective insights.

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OR/MS models for supply chain disruptions: a review

Cited by 603 publications

References 172 publications

Stochastic versus Deterministic Approach to Coordinated Supply Chain Scheduling

Stochastic versus Deterministic Approach to Coordinated Supply Chain Scheduling

Designing a capacitated multi-configuration logistics network under disturbances and parameter uncertainty: a real-world case of a drug supply chain

Innovative supply chain optimization models with multiple uncertainty factors

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