Reliable logistics networks design with facility disruptions

Peng, Peng; Snyder, Lawrence; Lim, Andrew; Liu, Zuli

doi:10.1016/j.trb.2011.05.022

Cited by 299 publications

(138 citation statements)

References 25 publications

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“…Issues of strategic management of the supply chain and planning of infallible warehouses functioning in regular conditions, as well as in conditions of unforeseen disturbances, have been subject of analyses performed by numerous authors [21,25]. Peng et al [21] presented a model for minimising the cost of logistic tasks implementation with concurrent minimising of the risk that the performance of those tasks would be discontinued.…”

Section: Warehouse and Supply Chain Dependability Issuesmentioning

confidence: 99%

“…Peng et al [21] presented a model for minimising the cost of logistic tasks implementation with concurrent minimising of the risk that the performance of those tasks would be discontinued. Neo et al [15] analyse the impact of lack of warehouse technical efficiency on selected criteria of quality assessment of its operation.…”

Section: Warehouse and Supply Chain Dependability Issuesmentioning

confidence: 99%

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The method of estimating dependability of supply chain elements on the base of technical and organizational redundancy of process

Jacyna-Gołda¹,

Lewczuk²

2017

EiN

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Section: Warehouse and Supply Chain Dependability Issuesmentioning

confidence: 99%

Section: Warehouse and Supply Chain Dependability Issuesmentioning

confidence: 99%

The method of estimating dependability of supply chain elements on the base of technical and organizational redundancy of process

Jacyna-Gołda¹,

Lewczuk²

2017

EiN

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“…p-robustness criteria Daskin, 2006 andPeng et al, 2011)  How the material flow in SC should be directed in each planning period in the event of facility disruptions such that demand requirements are satisfied while minimizing cost and delivery time?…”

Section: Introductionmentioning

confidence: 99%

“…Following the work of Peng et al, (2011),a p-robust mixed integer linear programming (MIP) model is developed with the objectives of minimizing the expected cost of reconfiguration and delivery time.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, SCNR models in literature use expected measures like expected cost, expected service level, etc. and mean-variance measures (Klibi & Martel, 2013) (Peng et al, 2011).Thereby a robust SCND is generated before realization of any scenario that will perform efficiently under any disruption scenario after reconfiguring with optimal reactive strategy.…”

Section: Introductionmentioning

confidence: 99%

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Multi Objective Supply Chain Network Reconfiguration Under Disruptions

Rajagopal¹,

Venkatesan²,

Agrawal³

2017

World Conference on Supply Chain Management

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Disruption in today's complex and global supply chain network (SCN) results in a negative impact on business performance. Companies try to manage disruptions by shifting the production/sourcing to undisrupted facilities, expanding the capacity at selected facilities, re-routing transportation and outsourcing the unmet demands. Models and methods to find a cost effective SCN reconfiguration to deal with disruption need attention. In this work, a SCN reconfiguration in a dynamic planning horizon under facility disruption is modelled mathematically with the objectives of minimizing the expected total cost and delivery time. The augmented ε-constraint method is proposed as a solution approach to obtain a set of Pareto optimal solutions. Numerical illustration with disruption scenarios is presented and our results show that facility with minimum distance to most customers serve majority of total customer demand. During disruption onset period, unmet demands are shifted to least utilised facility. During recovery periods, the facility with minimum distance to most customers is expanded to satisfy unmet demands. More capacity expansion occurred in minimum cost solution than in minimum time solution as more number of facilities are opened in latter than in former. The capacity utilization of facilities in minimum cost solutions are higher compared to that of minimum time solution.

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A two‐stage adaptive robust model for designing a reliable blood supply chain network with disruption considerations in disaster situations

Qing,

Yin,

Wang

et al. 2024

Naval Research Logistics

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We consider multi‐period blood supply chain network design in disaster situations that involve blood donor groups, permanent and temporary blood collection facilities, blood banks, and hospitals. We use a discrete scenario set to model the uncertain blood supply and demand, and the unforeseeable disruptions in permanent blood collection facilities, blood banks, and road links arising from a disaster, where instead of complete failure, disrupted permanent blood collection facilities and blood blanks may only lose part of their capacities. To design a reliable blood supply network to mitigate the possible disruptions, we present a two‐stage adaptive robust model that integrates the location, inventory, and allocation decisions incorporating a blood sharing strategy, where blood can be delivered from a disrupted/non‐disrupted blood bank to disrupted blood banks to enhance the flexibility of the relief network. For this novel problem, we devise an exact algorithm that integrates column‐and‐constraint generation and Benders decomposition and introduce several non‐trivial acceleration techniques to speed up the solution generation process. We conduct extensive numerical studies on random data sets to evaluate the algorithmic performance. We also conduct a case study in Tehran to demonstrate its real‐life applicability and examine the impacts of key model parameters on the solutions. The numerical results verify the benefits of our model over typical benchmarks, that is, deterministic and stochastic models, and the superiority of our solution algorithm over the CPLEX solver and two well‐known solution approaches, that is, column‐and‐constraint generation and Benders decomposition. Finally, based on the numerical results, we derive managerial insights from the analytical findings.

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Reliable logistics networks design with facility disruptions

Cited by 299 publications

References 25 publications

The method of estimating dependability of supply chain elements on the base of technical and organizational redundancy of process

The method of estimating dependability of supply chain elements on the base of technical and organizational redundancy of process

Multi Objective Supply Chain Network Reconfiguration Under Disruptions

A two‐stage adaptive robust model for designing a reliable blood supply chain network with disruption considerations in disaster situations

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