A linear relaxation-based heuristic approach for logistics network design

Thanh, Phuong Nga; Péton, Olivier; Bostel, Nathalie

doi:10.1016/j.cie.2010.09.007

Cited by 40 publications

(39 citation statements)

References 27 publications

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“…In contrast, the models proposed by Antunes and Peeters [4], Hugo and Pistikopoulos [8], and Thanh et al [22,23] are more comprehensive. The redesign of an existing network of schools is studied in [4] through the gradual capacity expansion of new locations and the gradual capacity reduction of existing facilities.…”

Section: Multi-period Scndmentioning

confidence: 69%

“…Typically, once capacity or technology has been acquired for a location, all products handled by the new facility compete for the installed capacity. This aspect is present in the models of Elhedhli and Gzara [5], Jang et al [10], Mazzola and Neebe [12], Sadjady and Davoudpour [19], Thanh et al [22,23], and Vila et al [24]. In contrast, Hugo and Pistikopoulos [8] consider the installed production capacity to be product-dependent.…”

Section: Facility Configuration and Capacity Utilizationmentioning

confidence: 91%

“…This minimum activity level is usually specified as a percentage of the available installed capacity. This aspect is considered by Amrani et al [3], Hugo and Pistikopoulos [8], and Thanh et al [22,23].…”

Section: Facility Configuration and Capacity Utilizationmentioning

confidence: 99%

“…In the problem studied by Thanh et al [22,23], the set of strategic decisions includes facility location and capacity acquisition as well as production, distribution, and inventory planning in a three-echelon network. Location decisions concern plants and warehouses whose capacities may be extended over the time horizon.…”

Section: Multi-period Scndmentioning

confidence: 99%

See 3 more Smart Citations

Comparing classical performance measures for a multi-period, two-echelon supply chain network design problem with sizing decisions

Correia

Melo

Saldanha-da-Gama

2013

Computers & Industrial Engineering

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Section: Multi-period Scndmentioning

confidence: 69%

Section: Facility Configuration and Capacity Utilizationmentioning

confidence: 91%

Section: Facility Configuration and Capacity Utilizationmentioning

confidence: 99%

Section: Multi-period Scndmentioning

confidence: 99%

See 2 more Smart Citations

Comparing classical performance measures for a multi-period, two-echelon supply chain network design problem with sizing decisions

Correia

Melo

Saldanha-da-Gama

2013

Computers & Industrial Engineering

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“…Outsourced products are directly delivered to customers. The capacity of external facility is assumed to be infinite (Cortinhal et al, 2015;Thanh et al, 2011Thanh et al, , 2010Thanh et al, ,2008Hinojosa et al, 2008).Capacity expansion at undisrupted facilities is not permitted during disruption onset period td 1 as it is not practically feasible to implement structural changes in short term immediately after the disruption (Melo etal., 2006 andIvanov et al, 2016).…”

Section: Problem Description and Model Formulationmentioning

confidence: 99%

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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Multilayer variable neighborhood search for two‐level uncapacitated facility location problems with single assignment

2015

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We develop a variant of the variable neighborhood search (VNS) metaheuristic called the multilayer VNS (MLVNS).It consists in partitioning the neighborhood structures into multiple layers. For each layer l , a VNS defined on the associated neighborhood structures is invoked, each move being evaluated and completed by a recursive call to the MLVNS at layer l −1. A specific MLVNS is developed to solve approximately a class of two-level uncapacitated facility location problems with single assignment (TUFLPS), when only mild assumptions are imposed on the cost functions. Two special cases are used to illustrate the efficiency of the MLVNS: the classical TUFLPS and a problem with modular costs derived from a real-life case. To assess the efficiency of the MLVNS, computational results on a large set of instances are compared with those obtained by slope scaling heuristic methods and by solving integer programming models using a state-of-the-art commercial solver.

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A linear relaxation-based heuristic approach for logistics network design

Cited by 40 publications

References 27 publications

Comparing classical performance measures for a multi-period, two-echelon supply chain network design problem with sizing decisions

Comparing classical performance measures for a multi-period, two-echelon supply chain network design problem with sizing decisions

Multi Objective Supply Chain Network Reconfiguration Under Disruptions

Multilayer variable neighborhood search for two‐level uncapacitated facility location problems with single assignment

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