The capacitated multi-facility location–allocation problem with probabilistic customer location and demand: two hybrid meta-heuristic algorithms

Mousavi, S R; Niaki, Seyed Taghi Akhavan; Mehdizadeh, Esmaeil; Tavarroth, MohammadReza

doi:10.1080/00207721.2012.670301

Cited by 44 publications

(22 citation statements)

References 13 publications

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“…In other word high amplitudes lead to bigger scope of solution and the probability of achieving a new solution is larger in these ranges of amplitudes, and reducing the amplitudes results in decreasing the probability of receiving a new solution so that the scope of solutions can be reduced by decreasing the range of oscillations, and then the system stops from the amplitude state (Mehdizadeh and Tavakkoli-Moghaddam, 2009;Mousavi et al, 2013).…”

Section: Vdo Main Conceptsmentioning

confidence: 99%

Optimizing Bi-Objective Multi-Echelon Multi-Product Supply Chain Network Design Using New Pareto-Based Approaches

Jafari¹,

Seifbarghy²

2016

Industrial Engineering and Management Systems

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The efficiency of a supply chain can be extremely affected by its design which includes determining the flow pattern of material from suppliers to costumers, selecting the suppliers, and defining the opened facilities in network. In this paper, a multi-objective multi-echelon multi-product supply chain design model is proposed in which several suppliers, several manufacturers, several distribution centers as different stages of supply chain cooperate with each other to satisfy various costumers' demands. The multi-objectives of this model which considered simultaneously are 1-minimize the total cost of supply chain including production cost, transportation cost, shortage cost, and costs of opening a facility, 2-minimize the transportation time from suppliers to costumers, and 3-maximize the service level of the system by minimizing the maximum level of shortages. To configure this model a graph theoretic approach is used by considering channels among each two facilities as links and each facility as the nodes in this configuration. Based on complexity of the proposed model a multi-objective Pareto-based vibration damping optimization (VDO) algorithm is applied to solve the model and finally non-dominated sorting genetic algorithm (NSGA-II) is also applied to evaluate the performance of MOVDO. The results indicated the effectiveness of the proposed MOVDO to solve the model.

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Section: Vdo Main Conceptsmentioning

confidence: 99%

Optimizing Bi-Objective Multi-Echelon Multi-Product Supply Chain Network Design Using New Pareto-Based Approaches

Jafari¹,

Seifbarghy²

2016

Industrial Engineering and Management Systems

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“…The main objectives are the total operating expenses in the supply chain and some cost indicators derived from those. The suggested solving methods are Lagrangian relaxation-based method [1], genetic algorithms [2,3,4,5], game theory methods [6], heuristic methods [7,8,9,10], decision-making methods [11,12,13], fuzzy optimization [14], ant colony algorithm [15], particle swarm optimization [16], modified fruit fly optimization [17], other linear and non-linear techniques [18,19,20,21].…”

Section: Literature Reviewmentioning

confidence: 99%

Procedure for determining transport and warehousing systems characteristics in industrial enterprises in megapolis

2017

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Abstract. The most common problem among a vast variety of design and performance management problems for the industrial enterprises supply chain networks is determining transport and storage processes' characteristics in the areas of high population density. The divergence of the logistic structure development in the area has a major influence on the choice of location for the warehouses and the characteristics of the corresponding material flows. This article addresses the issues of determining transport and warehousing systems characteristics in a major population center and its suburbs. In particular, this means the warehouse location and the delivery lot sizes. The article suggests a procedure for solving this problem based on a set of mathematical models using linear and non-linear optimization via the standard algorithms of common computer software like Microsoft Excel, Mathcad, MatLab, etc.

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“…Different approaches, such as response surface methodology [37,39] and the Taguchi method, [35] have already been utilized for algorithm calibration. In this subsection, to tune the parameters of both algorithms, the Taguchi approach is applied.…”

Section: Algorithm Parameter Tuningmentioning

confidence: 99%

“…Mehdizadeh et al [33] proposed a hybrid VDO algorithm to solve the multiple facilities stochastic-fuzzy capacitated locationallocation problem. Mousavi et al [35] developed a special type of the VDO algorithm to solve the capacitated multi-facility location-allocation problem with probabilistic customer locations and demands. Recently, Hajipour et al [23] introduced a multi-objective version of VDO for solving multi-objective optimization problems.…”

Section: Introductionmentioning

confidence: 99%

Bi-objective vibration damping optimization for congested location–pricing problem

Hajipour

Farahani

2016

Computers & Operations Research

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This paper presents a bi-objective mathematical programming model for the restricted facility location problem, under a congestion and pricing policy. Motivated by various applications such as locating server on internet mirror sites and communication networks, this research investigates congested systems with immobile servers and stochastic demand as M/M/m/k queues. For this problem, we consider two simultaneous perspectives; (1) customers who desire to limit waiting time for service and (2) service providers who intend to increase profits. We formulate a bi-objective facility location problem with two objective functions: (i) maximizing total profit of the whole system and (ii) minimizing the sum of waiting time in queues; the model type is mixed-integer nonlinear. Then, a multi-objective optimization algorithm based on vibration theory (so-called multi-objective vibration damping optimization (MOVDO)), is developed to solve the model. Moreover, the Taguchi method is also implemented, using a response metric to tune the parameters.The results are analyzed and compared with a non-dominated sorting genetic algorithm (NSGA-II) as a well-developed multi-objective evolutionary optimization algorithm. Computational results demonstrate the efficiency of the proposed MOVDO to solve large-scale problems.

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The capacitated multi-facility location–allocation problem with probabilistic customer location and demand: two hybrid meta-heuristic algorithms

Cited by 44 publications

References 13 publications

Optimizing Bi-Objective Multi-Echelon Multi-Product Supply Chain Network Design Using New Pareto-Based Approaches

Optimizing Bi-Objective Multi-Echelon Multi-Product Supply Chain Network Design Using New Pareto-Based Approaches

Procedure for determining transport and warehousing systems characteristics in industrial enterprises in megapolis

Bi-objective vibration damping optimization for congested location–pricing problem

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