Evaluating approximate solution models for the stochastic periodic inventory routing problem

Yadollahi, Ehsan; Aghezzaf, El‐Houssaine; Walraevens, Joris; Raa, Birger; Claeys, Dieter

doi:10.1016/j.jmsy.2018.11.001

Cited by 13 publications

(9 citation statements)

References 56 publications

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“…Si la demanda es pequeña, se usa una distribución discreta y Poisson, si es grande se usa una distribución continua y de preferencia la Normal [28]. Algunos autores consideran que la distribución Normal es una opción con limitaciones, como la probabilidad de tomar valores negativos y un bajo coeficiente de variación, es mejor considerar distribuciones Log normal, Weibull o Gamma [29].…”

Section: Modelos Con Plazos De Entrega O Demanda Aleatorios Y Sus Políticasunclassified

Modelos logísticos estocásticos: una revisión de la literatura

Martínez-Bernal

Cuervo-Cruz

Castro

2021

Aibi revista investig. adm. ing.

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El presente artículo se realiza con el objetivo de establecer el estado del arte de los modelos de localización, inventario y ruteo con parámetros estocásticos. Se realizó una revisión sistemática de la literatura en las bases de datos ScienceDirect, ScholarGoogle, SpringerLink, Scopus, SemanticScholar, Scielo y ResearchGate. A través de preguntas orientadoras, se seleccionaron 99 artículos, de los cuales el 74% es literatura reciente entre 2015 y 2019. Se clasificaron los modelos individuales logísticos estocásticos, se propuso una taxonomía con un enfoque de investigación de operaciones, a partir de sus características, parámetros, restricciones, funciones objetivo y métodos de solución utilizados. Asimismo, se identificaron las tendencias y las futuras líneas de investigación. Como conclusión se identifican nuevas estrategias y políticas operativas que permiten mejorar el desempeño de la cadena de suministro, igualmente la ausencia de métodos de solución eficientes ha sido evidente en grandes instancias, según la vida real.

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Section: Modelos Con Plazos De Entrega O Demanda Aleatorios Y Sus Políticasunclassified

Modelos logísticos estocásticos: una revisión de la literatura

Martínez-Bernal

Cuervo-Cruz

Castro

2021

Aibi revista investig. adm. ing.

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“…IRP is a primary method for optimizing the inventory level of retailers to fulfill market demand with a minimum shipping and inventory cost from a system [2]. IRP is one of the VMI solutions that suppliers manage retail's inventory level.…”

Section: Inventory Routing Problem (Irp)mentioning

confidence: 99%

“…IRP is one of the VMI solutions that suppliers manage retail's inventory level. In the previous paper, IRP was proposed for many problem methods such as perishable product, maritime, inbound, multi-product, stochastic periodic, green, and cyclic with two versions of IRP deterministic and stochastic [2].…”

Section: Inventory Routing Problem (Irp)mentioning

confidence: 99%

“…Inventory routing optimization is an important thing for fulfilling the demand market with optimal cost. IRP is a basic of optimizing inventory levels from retailers for fulfilling the demand market with minimum transport and inventory from the system [2]. The IRP object is to minimize the cost of shipping and inventory from the planning horizon without causing retail's inventory to run out of stock.…”

Section: Introductionmentioning

confidence: 99%

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Inventory Routing Problem for Perishable Product with Dynamic Demand and Spoilage Rate

Wahyudi

Widyadana

Sutapa

2020

International Journal of Industrial Research and Applied Engineering

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“…Therefore, many organizations try to streamline stock holding and transportation expenses. The IRP is an optimization inventory problem considering transportation costs so to minimize transportation and inventory cost [16]. More than 30 years, researchers have payed their attention to the IRP and gave various models and solutions, see [3].…”

Section: Introductionmentioning

confidence: 99%

An inventory routing problem for deteriorating items with dynamic demand and spoilage rate

Widyadanaa

Wahyudib

Sutapac

2021

YUGOSLAV J OPERATION

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Inventory routing problems (IRP) are among important tools to be used for implementing vendor manage inventory. Many researchers try to develop methods for solving inventory routing problem, however, only a few developed methods for inventory routing problems for spoilage items. In reality, many items are deteriorated and spoiled during transportation and storage period. In this paper, we developed a model and methods to solve the inventory routing problem for deteriorating items with dynamic demand and spoilage rate, i.e., demand varies and items spoil during planning periods. Those cases are more realistic since many commodities such as fruits and vegetables have dynamic demand and spoilage rate. A Genetic Algorithm and Particle Swarm Optimization are developed to solve the problem with various demands in a specific planning period since the problem is Np-hard. A numerical example and sensitivity analysis are con- ducted to verify the model, and to get management insight it. The result is interesting and support general hypothesis that dynamic demands result in higher inventory cost than the static demands, and the increasing demand results in increasing inventory cost. Also, the results show that increasing demand and deteriorating rates significantly affect the total cost, therefore, the developed model is important and significantly useful to be used for solving IRP with dynamic demand and spoilage items.

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Evaluating approximate solution models for the stochastic periodic inventory routing problem

Cited by 13 publications

References 56 publications

Modelos logísticos estocásticos: una revisión de la literatura

Modelos logísticos estocásticos: una revisión de la literatura

Inventory Routing Problem for Perishable Product with Dynamic Demand and Spoilage Rate

An inventory routing problem for deteriorating items with dynamic demand and spoilage rate

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