Inventory routing problems with multiple customers

Bertazzi, Luca; Speranza, Maria

doi:10.1007/s13676-013-0027-z

Cited by 75 publications

(29 citation statements)

References 70 publications

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“…According to Díaz-Batista and Pérez-Armayor [6], inventory collaboration in supply chains produces a lower total annual cost than when companies work individually, generating performance improvements in the entire supply chain [7][8][9]. The main problem lies in the allocation of inventory and transportation, which has been studied by multiple authors [10][11][12], for what the most used techniques are the VMI [13] and the IRP [14].…”

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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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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“…The depot may be any of the nodes. Bertazzi and Speranza [2013] describes a few main assumptions that would reduce the IRP to a TSP:…”

Section: Basic Examplementioning

confidence: 99%

“…[Bertazzi and Speranza, 2013] VEHICLE ROUTING PROBLEM The only decision performed in the TSP is with respect to routing (i.e. the sequence of the customers on the route).…”

Section: Basic Examplementioning

confidence: 99%

“…The two routes shown in Figure 3.3 might be executed by one vehicle (sequentially) or by two vehicles (parallel). Bertazzi and Speranza [2013] lists the main assumptions that would reduce the IRP to a VRP:…”

Section: Basic Examplementioning

confidence: 99%

“…Besides carrying capacity restrictions of the vehicles, no stock-outs and/or exceedance of maximum inventory levels may occur at the customers. Bertazzi and Speranza [2013] lists the main assumptions of the IRP:…”

Section: Basic Examplementioning

confidence: 99%

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Simulation of Preference Information in an Interactive Reference Point‐Based Method for the Bi‐Objective Inventory Routing Problem

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International audienceIn the research area of multiple criteria decision making, very few publications exist that explicitly design the simulation of a decision maker (DM) in an interactive approach. For this reason, we outline some methods widely used in the literature to identify common assumptions of simulating the DM's responses and the required input preference information. Our paper aims at covering the identified gap by introducing experimental concepts. Such concepts are used for theoretical analyses of a combined search-and-decision-making procedure. Simulating the DM is a fruitful idea because the algorithm can be tested without integrating a human decision maker. Finally, we conduct experiments based on the proposed settings for a multiobjective inventory routing problem, which is a relevant and challenging logistic problem

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Inventory routing problems with multiple customers

Cited by 75 publications

References 70 publications

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

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

Vessel Routing for Sweeping of Marine Litter in a Port Area

Simulation of Preference Information in an Interactive Reference Point‐Based Method for the Bi‐Objective Inventory Routing Problem

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