An integrated multi-objective supply chain network and competitive facility location model

Bilir, Canser; Ekici, Şule Önsel; Ülengin, Füsun

doi:10.1016/j.cie.2017.04.020

Cited by 40 publications

(23 citation statements)

References 31 publications

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“…Afshari et al [24] aimed at optimizing facility location decisions in distributionservice network to maximise profitability while meeting customer satisfaction and sustainability. Bilir et al [25] addressed to the integrated multi-objective supply chain network and competitive facility location model to maximise profits and sales while minimizing the risks assuming that the demand can be determined by price and the utility function. Interested reader may refer to the surveys on transportation network design problems [26], multi-level facility location problems [27] and covering problems in facility location [28].…”

Section: Literature Reviewmentioning

confidence: 99%

Combined facility location and distribution network design problem: Progressive models and a case study

Küçükkoç¹,

Acar²

2020

Pamukkale J Eng Sci

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ÖzThis paper addresses to the facility location problem of ammunition stores considering the design of distribution network from stores to geographically dispersed army forces. The problem is to determine the construction sites of the ammunition stores among candidate sites and to give the decision on how many stores will be built from which kind. The problem also contains designing of a distribution network to concurrently determine the amounts of several military equipment transported from stores to army forces. A mathematical model is proposed to minimize the cost of the whole system, caused by the construction of the ammunition stores and the transportation of different equipment in diverse quantities from stores to dispersed army forces. The model is then improved progressively and several variants are presented to reflect the real-world conditions through a case study. Numerical results obtained from solving the case study using the proposed models coded in General Algebraic Modelling System (GAMS) are exhibited. The effect of the size of problem specific parameters on the model execution time is also investigated via experimental tests. The results demonstrate the promising problem-solving capacity of the proposed models, which can be applied practically. Bu çalışma, depolardan coğrafi olarak dağınık askeri birliklere dağıtım ağı tasarımını dikkate alarak mühimmat depolarının yer seçimi problemi konusunu ele almaktadır. Burada problem, aday bölgelerden hangilerine mühimmat depoları kurulacağını belirlemek ve hangi tip depolardan kaç adet inşa edileceğine karar vermektir. Ele alınan problem aynı zamanda mühimmat depolarından askeri birliklere sevk edilen pek çok askeri malzemenin miktarını belirlemek için bir dağıtım ağı tasarımı problemini içermektedir. Depo kurulumundan ve farklı askeri malzemelerin depolardan askeri birliklere farklı miktarlarda dağıtımından kaynaklanan toplam maliyeti minimize etmek için bir matematiksel model önerilmektedir. Bu model akabinde aşamalı olarak iyileştirilmekte ve gerçek hayat koşullarını bir uygulama vasıtasıyla daha iyi yansıtmak amacıyla modelin farklı versiyonları sunulmaktadır. Uygulamaya konu problem, önerilen modellerin GAMS (Genel Cebirsel Modelleme Sistemi)'te kodlanmasıyla çözülerek sayısal örnekler ortaya koyulmuştur. Probleme özgü parametrelerin büyüklüğünün model uygulama süresi üzerindeki etkisi de deneysel testlerle incelenmiştir. Sonuçlar, önerilen modellerin pratikte uygulanabilecek umut verici problem çözme kapasitesini göstermektedir. Pamukkale Univ Muh Bilim Derg, 26(1), 157-173, 2020 I. Kucukkoc, M. Acar 158 network design costs and operating costs are made. Contributing to this view, Berman et al. [15] proposed that modifying the underlying network can improve the accessibility to the facilities. Similarly, Peeters and Thomas [16]showed the significant impact of underlying network on optimal solutions to the p-median location-allocation problems.The UFLNDP assumes an infinite capacity for facilities, so that they can serve an infinite amount of demand...

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Section: Literature Reviewmentioning

confidence: 99%

Combined facility location and distribution network design problem: Progressive models and a case study

Küçükkoç¹,

Acar²

2020

Pamukkale J Eng Sci

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“…Multiple-objective supply chain master planning can be solved by creating a model that yields a set of compromised solutions with trade-offs among two or more conflicting objectives. Bilir et al (2017) investigated an integrated multi-objective supply chain network and a competitive facility location model. They proposed a supply chain network and competitive facility models based on three utilized objective functions: maximizing profit, maximizing sales, and minimizing supply chain risk.…”

Section: Number Of Objective Functionsmentioning

confidence: 99%

Fuzzy multi-objective optimization with α-cut analysis for supply chain master planning problem

Sutthibutr¹,

Chiadamrong²

2019

10.5267/j.uscm

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This study considers a supply chain master planning problem in an uncertain environment where operating costs, customer demand, production capacity, manufacturer's acceptable defective rate, and manufacturer's acceptable service level are uncertain. Our supply chain consists of one manufacturer, multiple suppliers, and multiple distribution centers. While one objective is to minimize the total costs of logistics that consists of purchasing cost, production cost, and distribution cost, the other objective is to maximize total value of purchasing. These objectives are in conflict with each other. In this paper, the fuzzy multi-objective linear model is applied with-Cut analysis to achieve the optimal supply chain master planning in an uncertain environment by balancing these two conflicting objectives. The-Cut analysis is introduced to ensure decision-makers that the outcome satisfies their preferences based on a specified minimum allowed satisfaction value ().

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“…A new mathematical model for competitive location problem is proposed by Sadjadi et al [17] to determine the location of the new facilities and also the optimal product type for each of opened facility while the behavior of the customers is based on Huff rule. In addition to the above-mentioned studies, some researchers have studied multi objective models of competitive facility location (Bilir et al [18]; Wang & Chen [19]; Konak et al [20]).…”

Section: Literature Reviewmentioning

confidence: 99%

Influence of Two Different Producers in a Competitive Location Problem

2019

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Facility location of two producers with preference of customers is discussed in this paper. Because of differences between two producers in terms of their influence on the market, the problem is formulated as a bi-level integer mathematical programming model with binary variables. It is considered that both leader and follower have some facilities at first and are going to open new facilities and this may lead to make changes in allocation of facilities and customers. To solve the problem, two metaheuristics algorithm based on genetic algorithm (GA) and hybrid of genetic algorithm and ant colony optimization (ACO) are proposed. In the first section of each algorithm, the location of facilities for two producers is determined and in the second section, each customer selects a facility. Upper bound of the competitive facility location problem is determined by solving the upper-level problem as an integer linear programming model without considering the follower's decision. To evaluate the efficiency of proposed algorithms, enumeration technique is used to find optimal solution. Computational results show that all of the developed algorithms are capable of achieving optimal solution for small size problems and high-quality solution in reasonable computational time for medium and large-scale problems.

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An integrated multi-objective supply chain network and competitive facility location model

Cited by 40 publications

References 31 publications

Combined facility location and distribution network design problem: Progressive models and a case study

Combined facility location and distribution network design problem: Progressive models and a case study

Fuzzy multi-objective optimization with α-cut analysis for supply chain master planning problem

Influence of Two Different Producers in a Competitive Location Problem

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