Optimizing Multi-objective Dynamic Facility Location Decisions within Green Distribution Network Design

Afshari, Hamid; Sharafi, Masoud; ElMekkawy, Tarek Y.; Peng, Qingjin

doi:10.1016/j.procir.2014.01.147

Cited by 17 publications

(5 citation statements)

References 13 publications

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“…Contreras and Fernández [9] provided alternative formulations and algorithmic strategies for the combined design decisions to locate facilities and to select links on an underlying network. 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.…”

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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“…The joint assignment of inventory and transportation can be performed using multiobjective optimization approaches, as it is made in the works of Pechlivanos [23], Chen and Lee [24], Liang [25], Liao et al [26], Afshari et al, [27], Shankar et al [28], Nekooghadirli et al [29], Andriolo et al, [30], Pasandideh et al, [31] and Pasandideh et al ., [32].…”

Section: Inventory Collaboration and Optimization Processesmentioning

confidence: 99%

Comparisson of three IRP-based models to reduce logistics costs and greenhouse gas emissions

Zapata-Cortés

Serna

Urán

2018

DYNA

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Goods distribution processes must reconcile the economic interests of the companies, which seek higher levels of profitability through costs reduction and service level improvements, with the negative impacts to society and environment, such as chemical pollution and the generation of vehicular congestion and accidents. This paper presents the comparison of three models that analyze the logistics costs associated with the distribution of goods and the greenhouse gas emissions generated by such processes. These models use the Vehicle Routing Problem (IRP) as the basis for optimizing the logistics activities, from which, through multi-objective approaches the CO2 emissions are analyzed. As the main result of the article, it can be observed that the multiobjective models allow finding an adequate combination between logistics costs and emissions, which is attractive to companies and society.Keywords: goods distribution; multiobjective model; collaborative inventory; greenhouse gases.Comparación de tres modelos basados en el IRP para reducir costos logísticos y emisiones de gases efecto invernadero Resumen Los procesos de distribución de mercancías deben conciliar los intereses económicos de las empresas, que buscan mayores niveles de rentabilidad a través de disminución de los costos y mejoras del nivel de servicio, con los impactos negativos que se producen a la sociedad y al medio ambiente, como es el caso de la contaminación química y problemas de calidad de vida, como la generación de congestión vehicular y accidentes. En este artículo se presenta la comparación de tres modelos que analizan los costos logísticos asociados a la distribución de mercancías y las emisiones de gases efecto invernado que generan dichos procesos. Estos modelos utilizan el Problema de Ruteo de Vehículos (IRP) como base para optimizar las actividades logísticas, a partir del cual, mediante enfoques multiobjetivo, es posible analizar también las emisiones de gases contaminantes como el CO2. Como principal resultado de la investigación que deriva este artículo, se observa que los modelos multiobjetivo permiten encontrar una combinación adecuada entre los costos logísticos y las emisiones de CO2, que sea atractivo para empresas y la sociedad.Palabras clave: distribución de mercancías; modelo multiobjetivo; inventario colaborativo; gases de efecto invernadero.

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“…Afshari et al, [35] minimizes the total cost of transportation, establishment/facility location, and inventory management, as well as customer satisfaction in a multi-period, multi-commodity, distribution-service network, Nekooghadirli et al [36] minimize the costs and the average delivery time. Pasandideh et al [37] propose a Multi-product multi-period three-echelon model that minimizes total costs and maximizes the amount of product sent to customer.…”

Section: Inventory Collaboration and Optimizationmentioning

confidence: 99%

Multiobjective Model to Reduce Logistics Costs and CO2 Emissions in Goods Distribution

Cortes¹,

Serna²,

Urán³

2018

RCS

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Goods transportation has increased in recent years due to new and more intensive distribution processes, such as door-to-door distribution generated by e-commerce and other marketing and logistics strategies. Transportation processes generates negative impacts in society and environment since it produces traffic jams and pollution. This paper presents a multiobjective model that simultaneously optimizes freight transportation and inventory quantity through collaboration between customers and suppliers, and also considers the distribution process CO2 emissions. With this model decision makers in logistics can find a suitable combination between logistics costs and pollutants emission reduction. This model is solved using a multiobjective genetic model based on the NSGA II algorithm.

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Optimizing Multi-objective Dynamic Facility Location Decisions within Green Distribution Network Design

Cited by 17 publications

References 13 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

Comparisson of three IRP-based models to reduce logistics costs and greenhouse gas emissions

Multiobjective Model to Reduce Logistics Costs and CO2 Emissions in Goods Distribution

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