Integrated supply, production and distribution scheduling under disruption risks

Sawik, Tadeusz

doi:10.1016/j.omega.2015.09.005

Cited by 83 publications

(22 citation statements)

References 37 publications

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“…Because supply chains are inherently complex, understanding risks of disruptions is truly a multi-criteria problem requiring multiple solution approaches (Ho et al 2010), and has been of increasing interest in the research community. For example, Sawik (2016) developed mixed integer programs to investigate the impact of supply disruptions and their propagation in a three-echelon supply chain. This research also helps to fill this gap.…”

Section: Introductionmentioning

confidence: 99%

Supply chain disruption propagation: a systemic risk and normal accident theory perspective

Scheibe

Blackhurst

2017

International Journal of Production Research

291

162

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When a disruption occurs in a firm, its effects are often felt throughout the supply chain. As supply chains expand globally and companies pursue velocity and efficiency, the probability of disruptions propagating throughout a chain grows. In this paper, we employ a qualitative, grounded theory case study approach to help understand what drives supply chain disruption propagation and to provide theoretical insights into this emerging area. For a more complete perspective, we study three interconnected tiers in seven unique supply chains. Each supply chain triad consists of (1) a focal firm (a manufacturer), (2) a supplier to the focal firm and (3) a customer of the focal firm allowing us to gain perspective from three levels in multiple supply chains. Three aggregate dimensions are defined which help explain the propagation of supply chain disruptions: the nature of the disruption, structure and dependence, and managerial decision-making. Within these dimensions, six themes are identified giving an increased level of granularity into disruption propagation: correlation of risk, compounding effects, cyclical linkages, counterparty risk, herding and misaligned incentives. Organisations should consider these themes and their interactions to effectively deal with supply chain disruptions. ABSTRACTWhen a disruption occurs in a firm, its effects are often felt throughout the supply chain. As supply chains expand globally and companies pursue velocity and efficiency, the probability of disruptions propagating throughout a chain grows. In this paper, we employ a qualitative, grounded theory case study approach to help understand what drives supply chain disruption propagation and to provide theoretical insights into this emerging area. For a more complete perspective, we study three interconnected tiers in seven unique supply chains. Each supply chain triad consists of (1) a focal firm (a manufacturer), (2) a supplier to the focal firm and (3) a customer of the focal firm allowing us to gain perspective from three levels in multiple supply chains. Three aggregate dimensions are defined which help explain the propagation of supply chain disruptions: the nature of the disruption, structure and dependence, and managerial decision making. Within these dimensions, six themes are identified giving an increased level of granularity into disruption propagation: correlation of risk, compounding effects, cyclical linkages, counterparty risk, herding, and misaligned incentives. Organizations should consider these themes and their interactions to effectively deal with supply chain disruptions.

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Section: Introductionmentioning

confidence: 99%

Supply chain disruption propagation: a systemic risk and normal accident theory perspective

Scheibe

Blackhurst

2017

International Journal of Production Research

291

162

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“…The stochastic MIP formulations were further enhanced by Sawik [25] to jointly optimize supply portfolio and production and distribution of finished products. For the distribution of products, three shipping methods were considered and compared.…”

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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“…Of particular importance is portfolio approach to supply chain disruption management, e.g., supply portfolio introduced by Sawik (2011). Recent research results on stochastic MIP approaches to scheduling in supply chains under disruption risks are reported by Sawik (2016Sawik ( , 2017, where supplies can be disrupted by multi-level local disaster events or all-or-nothing regional disasters. In Sawik (2016), coordinated scheduling of material supplies and production and distribution of finished products subject to all-or-nothing local and regional disasters are studied.…”

Section: Planning and Scheduling Under Disruption Risksmentioning

confidence: 99%

“…Recent research results on stochastic MIP approaches to scheduling in supply chains under disruption risks are reported by Sawik (2016Sawik ( , 2017, where supplies can be disrupted by multi-level local disaster events or all-or-nothing regional disasters. In Sawik (2016), coordinated scheduling of material supplies and production and distribution of finished products subject to all-or-nothing local and regional disasters are studied. Another important field of study is fair and robust planning and scheduling to reach an equitably efficient expected cost and expected service or equitably efficient average and worst-case performance of a supply chain under disruption risks, e.g., Sawik (2014cSawik ( , 2015a.…”

Section: Planning and Scheduling Under Disruption Risksmentioning

confidence: 99%

Mixed Integer Programming Approaches to Planning and Scheduling in Electronics Supply Chains

Sawik

2017

dmms

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Abstract. This paper discusses mixed-integer programming (MIP) approaches to planning and scheduling in electronics supply chains. First, the short-term detailed scheduling of wafer fabrication in semiconductor manufacturing and detailed scheduling of printed wiring board assembly in surface mount technology lines are discussed. Then, the medium-term aggregate production planning in a production/assembly facility of a consumer electronics supply chain is described; and finally, the coordinated aggregate planning and scheduling of the manufacturing and supply of parts and production of the finished products is presented. The decision variables are defined, and the MIP modeling frameworks are provided. Two decisionmaking approaches are discussed and compared: an integrated (simultaneous) approach, in which all required decisions are made simultaneously using a complex, large monolithic MIP model; and a hierarchical (sequential) approach, in which the required decisions are made successively using the hierarchies of simpler and smaller-sized MIP models. The paper also highlights the research on stochastic MIP applications to the planning and scheduling in electronics supply chains with disrupted material and information flows due to natural or man-made disasters.

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Integrated supply, production and distribution scheduling under disruption risks

Cited by 83 publications

References 37 publications

Supply chain disruption propagation: a systemic risk and normal accident theory perspective

Supply chain disruption propagation: a systemic risk and normal accident theory perspective

Stochastic versus Deterministic Approach to Coordinated Supply Chain Scheduling

Mixed Integer Programming Approaches to Planning and Scheduling in Electronics Supply Chains

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