On the economic ordering quantity for jointly replenished items

Kaspi, Moshe; Rosenblatt, Meir J.

doi:10.1080/00207549108930051

Cited by 111 publications

(60 citation statements)

References 9 publications

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“…Aunque la caracterización de las soluciones que se han realizado en este trabajo es de tipo teórico, el tener en cuenta la idea de dominancia de soluciones en su implementación práctica puede ahorrar mucho esfuerzo computacional, principalmente en la utilización de heurísticas como es el caso del llamado algoritmo RAND [7] que se utiliza de manera usual, incluso para probar otros métodos. El JRP usualmente ha sido atacado mediante el encontrar los valoresóptimos de K i , i = 1, 2, 3, .…”

Section: Conclusionesunclassified

Una caracterización sobre las soluciones para el problema de reaprovisionamiento conjunto

Silva

Andrade

et al. 2006

RMTA

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ResumenEn este trabajo se presenta una introducción sobre el problema de inventario multiartículo conocido como el problema de reaprovisionamiento conjunto (JRP, del inglés Joint Replenishment Problem), el cual ha sido ampliamente investigado, puesto que se utiliza con mucha frecuencia en problemas reales. El problema JRP tiene una variable de decisión de tipo continua y tantas variables de decisión de tipo discretas como el número de artículos que se ordenan y producen. Para este problema existe un método exacto proporcionado por Goyal, que para un número grande de variables de decisión discretas lo vuelve prohibitivo. Se presenta una caracterización alternativa de las soluciones de tipo combinatorio para el problema de reaprovisionamiento conjunto.Palabras clave: Problemas de inventarios multiartículo, problema de reaprovisionamiento conjunto. AbstractIn this paper an introduction is given to a multiple-item inventory problem, known as the Joint Replenishment Problem (JRP). This is a real world problem which has been extensively studied. The JRP has a continuous decision variable, and as many discrete decision variables as products that are ordered and produced. An exact method, given by Goyal, exists for solving the JRP, however for a large number of *

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Section: Conclusionesunclassified

Una caracterización sobre las soluciones para el problema de reaprovisionamiento conjunto

Silva

Andrade

et al. 2006

RMTA

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“…On deterministic models, the main reference is the RAND algorithm, proposed by Kaspi & Rosenblatt (1991). It is a heuristic that divides equally a range of cycle time values among lower and upper bounds and then it applies Silver (1976)'s algorithm (Khouja & Goyal, 2008).…”

Section: ( )mentioning

confidence: 99%

A systematic literature review on the joint replenishment problem solutions: 2006-2015

Bastos

Mendes

Nunes

et al. 2017

Prod.

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Among all existing inventory replenishment models, this research was dedicated to the Joint Replenishment Problem (JRP), which consists in the replenishment of multiple items simultaneously, aiming total cost reduction. Literature has presented several optimal and approximated solutions to this problem, with different applications and techniques, which results in a large quantity of solution proposals. Therefore, this research aimed to map existing solutions to the problem in 2006-2015 in order to provide a guide for interested parts in JRP and to update previous reviews. Hence, systematic review was used to assess papers from that period interval. From a total of 128 papers, a general trend for seeking JRP extensions and practical applications was verified. Furthermore, the heuristic and metaheuristic methods were the most used and considered the most suitable due to their simplicity in understanding and application. KeywordsInventory management. Multi-product. Joint replenishment problem. Systematic review.

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“…Kaspi and Rosenblatt [6][7] proposed two study reports of the testing of different heuristic algorithm, suggesting the optimal solution obtained by using RAND procedure proposed by Kaspi and Rosenblatt is better than the solutions found by using algorithms proposed by other scholars (for details, see Goyal [8], Brown [9], Goyal and Belton [10], and Silver [11]). Unlike the methods proposed by the aforementioned scholars, we applied the game theory in multi-agent joint procurement decision model negotiation algorithm to find out the relatively better order quantity of a certain raw material for chain restaurants participating in joint procurement.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Chain Restaurants Dynamic Negotiation Games of the Optimization of Joint Procurement of Food Materials

Chang¹

2014

IJCSIT

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On the economic ordering quantity for jointly replenished items

Cited by 111 publications

References 9 publications

Una caracterización sobre las soluciones para el problema de reaprovisionamiento conjunto

Una caracterización sobre las soluciones para el problema de reaprovisionamiento conjunto

A systematic literature review on the joint replenishment problem solutions: 2006-2015

A Study on the Chain Restaurants Dynamic Negotiation Games of the Optimization of Joint Procurement of Food Materials

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