A bi-objective optimization of supply chain design and distribution operations using non-dominated sorting algorithm: A case study

Shankar, Balakrishnan; Basavarajappa, S.; Kadadevaramath, Rajeshwar S.; Chen, Jason C.H.

doi:10.1016/j.eswa.2013.03.047

Cited by 34 publications

(30 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Although, there are several studies on multi-objective Supply Chain Management (SCM) (Liao et al, 2011;Shankar et al, 2013;Zhang et al, 2016), to the authors' knowledge, this is one of the first studies in which the integrated problem of supplier selection and inventory planning has been investigated as a multi-objective problem.…”

Section: Discussionmentioning

confidence: 99%

“…Miller et al (2011);Miller & John (2010) pointed out that the supply chains with well managed inventory considers satisfying the demand, preventing stock outs and reducing holding costs -where stock is kept in the store for an undesirable period of time. In order to solve inventory planning problem individually, a range of methods have been used, including genetic algorithms (Rezaei & Davoodi, 2008), multiobjective algorithms (Liao et al, 2011;Shankar et al, 2013;Zhang et al, 2016) and hybrid approaches (Mahnam et al, 2009). …”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-objective optimisation in inventory planning with supplier selection

Trk

zcan

John

2017

Expert Systems with Applications

View full text Add to dashboard Cite

Supplier selection and inventory planning are critical and challenging tasks in Supply Chain Management. There are many studies on both topics and many solution techniques have been proposed dealing with each problem separately.In this study, we present a two-stage integrated approach to the supplier selection and inventory planning. In the first stage, suppliers are ranked based on various criteria, including cost, delivery, service and product quality using Inter- show that in the overall, NSGA-II is the best performing MOEA producing high quality trade-off solutions to the integrated problem of supplier selection and inventory planning.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-objective optimisation in inventory planning with supplier selection

Trk

zcan

John

2017

Expert Systems with Applications

View full text Add to dashboard Cite

show abstract

“…Por su parte [11] extiende el diseño de la red logística hacia atrás para agregar la compra de materia prima a los proveedores y hacia adelante para distribuir a las tiendas. En este caso, los autores presentan un modelo biobjetivo enfocado en minimizar el costo total de distribución y a maximizar el cumplimiento de la demanda de los clientes, por lo que implementan el algoritmo Multi Objective Heuristic Particle Swarm Optimization para obtener buenas soluciones al problema planteado en un tiempo computacional razonable.…”

Section: Introductionunclassified

Diseño de una red de distribución a través de un modelo de optimización considerando agotados

Gámez-Albán

Mejía-Argueta

Monteros³

2017

Ingeniare. Rev. chil. ing.

View full text Add to dashboard Cite

RESUMENEsta investigación presenta un modelo de programación entera mixta en múltiples períodos que minimiza los costos de la red logística de una comercializadora de insumos veterinarios en Colombia. Los productos comercializados son importados mediante un par de puertos y movilizados por conducto de cuatro centros de distribución a sus respectivos clientes localizados en todo el país. El problema considera el costo ligado al agotado del producto, el que ocurre cuando el producto está por debajo del inventario mínimo preestablecido por la compañía, así como los costos de apertura y cierre de instalaciones a lo largo del horizonte de planeación. Junto con la solución del caso base de estudio, se resuelven ochos escenarios generados a partir de instancias modificadas: cuatro escenarios aumentan el costo del agotado y cuatro escenarios lo disminuyen. Los resultados demuestran que existe una relación inversamente proporcional entre el costo de mantener inventario y el costo del agotado al modificar el valor del agotado; lo que acarrea modificaciones estratégicas importantes en la red logística definida por la organización.Palabras clave: Red de distribución logística, agotados, localización de instalaciones, optimización, programación entera. ABSTRACT A multiperiod mixed integer programming is presented to minimize the total costs of the logistics network of a firm that sells veterinary products in Colombia. The products are imported through two ports and they are distributed from four distribution centers to the final customers in the country. The model considers the costs of out-of-stocks that

show abstract

“…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

View full text Add to dashboard Cite

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.

show abstract

A bi-objective optimization of supply chain design and distribution operations using non-dominated sorting algorithm: A case study

Cited by 34 publications

References 33 publications

Multi-objective optimisation in inventory planning with supplier selection

Multi-objective optimisation in inventory planning with supplier selection

Diseño de una red de distribución a través de un modelo de optimización considerando agotados

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

Contact Info

Product

Resources

About