A supply chain design problem with facility location and bi-objective transportation choices

Olivares-Benítez, Elìas; González‐Velarde, José Luis; Ríos‐Mercado, Roger Z.

doi:10.1007/s11750-010-0162-8

Cited by 25 publications

(16 citation statements)

References 24 publications

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“…Transportation mode selection has been widely regarded in previous research studies. When it comes to the choice of transportation mode in SCND, either of two cases may arise: (1) a given pair of nodes can be handled by more than one transportation mode [30], (2) only one transportation mode is available between a given pair of nodes [31].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Constraints (20){ (25) ensure that a capacity expansion can solely be realized for the centers established in the corresponding period. Constraints (26){ (31) introduce the impossibility of a capacity reduction to occur in capacity-expanded facilities, i.e., once the capacity of a facility expands in a given period of time, it cannot be either reduced or returned back to the initial capacity within the same period of time. Constraints (32){ (44) prove that there is only one transportation mode between each pair of nodes during each period of time.…”

Section: Qlg Lgtmentioning

confidence: 99%

“…Considering the number of parameters in the model, no comprehensive reference could be found for benchmarking the parameters; thus, some of the parameters were generated randomly. Therefore, the parameters were generated with reference to Olivares-Benitez et al (2010) as a valid reference [31]. Furthermore, the problem size was assessed based on two criteria: number of periods and programming number for each problem (Table 3).…”

Section: Generating Cases Studies and Setting The Parametersmentioning

confidence: 99%

See 2 more Smart Citations

Multi-Period Configuration of Forward and Reverse Integrated Supply Chain Networks with the Choice of Transport Mode

2018

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In today's competitive business, buying and returning products have become a common practice because of incompleteness of the products or the failure to meet the customer's satisfaction or reusing products. Before handling this cycle, companies need a proper logistics network because of its impact on the e ciency and responsiveness of the supply chain. In this research, a forward and reverse logistics network was proposed for product distribution and collection. The contribution of this paper is a multiperiod, multi-echelon integrated forward and reverse supply chain network design problem with transportation mode selection. Di erent decisions including determination of the optimum number and locations of facilities, facilities' opening time, and transportation mode selection were considered in this paper. Due to the multi-period nature of the problem, the problem is exible for future periods. A mixed integer nonlinear programming model was proposed for the introduced problem, considering di erent levels of facility capacities. As another contribution, a genetic algorithm was developed to cope with the problem's complexity, especially for large-sized instances. E ectiveness and reliability of the algorithm, evaluated by solving several random instances with the obtained numerical results and comparisons, con rmed the capability of the proposed algorithm to nd good solutions within an acceptable processing time period.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Qlg Lgtmentioning

confidence: 99%

Section: Generating Cases Studies and Setting The Parametersmentioning

confidence: 99%

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Multi-Period Configuration of Forward and Reverse Integrated Supply Chain Networks with the Choice of Transport Mode

2018

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“…The SCN design optimization problems with uncertainty have been addressed and developed in a wide variety of past researches (Taleizadeh et al 2008a(Taleizadeh et al , b, 2010(Taleizadeh et al , 2011Olivares-Benitez et al 2012;Wang et al 2011). These researches typically considered demand as the uncertainty parameter of the supply chain (El-Sayed et al 2010;Rodriguez et al 2014;Georgiadis et al 2011;Cardona-Valdés and Alvarez 2011).…”

Section: Supply Chain Network Design Under Uncertaintymentioning

confidence: 99%

Optimizing decentralized production–distribution planning problem in a multi-period supply chain network under uncertainty

et al. 2017

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Decentralized supply chain management is found to be significantly relevant in today's competitive markets. Production and distribution planning is posed as an important optimization problem in supply chain networks. Here, we propose a multi-period decentralized supply chain network model with uncertainty. The imprecision related to uncertain parameters like demand and price of the final product is appropriated with stochastic and fuzzy numbers. We provide mathematical formulation of the problem as a bi-level mixed integer linear programming model. Due to problem's convolution, a structure to solve is developed that incorporates a novel heuristic algorithm based on Kth-best algorithm, fuzzy approach and chance constraint approach. Ultimately, a numerical example is constructed and worked through to demonstrate applicability of the optimization model. A sensitivity analysis is also made.

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“…Other researchers (e.g. Cardona‐Valdés et al., ; Olivares‐Benitez et al., ) have studied the Capacitated Fixed Cost Facility Location Problem with Transportation Choices determining the location of distribution centres and the flows between the facilities, in order to minimize the costs and transportation time of the product from the plant to the customer.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysing the factors that influence the Pareto frontier of a bi‐objective supply chain design problem

Palacio

Adenso‐Díaz

Lozano

2017

Int Trans Operational Res

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In this paper a bi-objective multi-product model for the design of a production/distribution supply chain logistic network with four echelons is considered. The proposed optimization model minimizes the total cost of the network (including the fixed cost to open facilities and the transportation costs between them) and the total CO 2 emissions. Five factors (network size, product complexity, cost variability, CO 2 emissions generation and over-capacity) are considered for the experimental framework. The problem is solved using the ε-constraint method and the resulting Pareto frontiers (PF) are characterized using five new metrics specifically developed for analysing how those factors affect the resulting optimal configurations. The results show that over-capacity and product complexity are the two most influential factors regarding the characteristics of the PF, and that their effects are in the same direction: more complexity and capacity mean a wider set of optima alternatives, some close to the ideal point, and in general with a smaller number of links used.

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A supply chain design problem with facility location and bi-objective transportation choices

Cited by 25 publications

References 24 publications

Multi-Period Configuration of Forward and Reverse Integrated Supply Chain Networks with the Choice of Transport Mode

Multi-Period Configuration of Forward and Reverse Integrated Supply Chain Networks with the Choice of Transport Mode

Optimizing decentralized production–distribution planning problem in a multi-period supply chain network under uncertainty

Analysing the factors that influence the Pareto frontier of a bi‐objective supply chain design problem

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