Heuristics for a periodic-review policy in a two-echelon inventory problem with seasonal demand

Sakulsom, Noppadon; Tharmmaphornphilas, Wipawee

doi:10.1016/j.cie.2019.05.017

Cited by 14 publications

(5 citation statements)

References 26 publications

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“…DP Model was used to find the results in Table 2. The table shows that there should be 18 lots during the year in weeks 3,6,9,12,15,18,21,23,25,27,29,31,33,36,39,42,45,48. The initial inventory is enough to cover the demand for the first two weeks.…”

Section: Results and Analysismentioning

confidence: 99%

“…DE and Mahata [47] investigated an EOQ model under monsoon type fuzzy demand rate where cycle time is a decision variable, without any consideration for lead time, and shortages are not allowed. Sakulsom and Tharmmaphornphilas [48] considered the case when the system has a seasonal demand within a cycle of one week, and generated heuristics for a periodic-review policy. They considered a one-day demand phase and a one-day lead time.…”

Section: Literature Reviewmentioning

confidence: 99%

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Optimizing Inventory Replenishment for Seasonal Demand with Discrete Delivery Times

2021

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This study investigates replenishment planning in the case of discrete delivery time, where demand is seasonal. The study is motivated by a case study of a soft drinks company in Germany, where data concerning demand are obtained for a whole year. The investigation focused on one type of apple juice that experiences a peak in demand during the summer. The lot-sizing problem reduces the ordering and the total inventory holding costs using a mixed-integer programming (MIP) model. Both the lot size and cycle time are variable over the planning horizon. To obtain results faster, a dynamic programming (DP) model was developed, and run using R software. The model was run every week to update the plan according to the current inventory size. The DP model was run on a personal computer 35 times to represent dynamic planning. The CPU time was only a few seconds. Results showed that initial planning is difficult to follow, especially after week 30, and the service level was only 92%. Dynamic planning reached a higher service level of 100%. This study is the first to investigate discrete delivery times, opening the door for further investigations in the future in other industries.

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Section: Results and Analysismentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Optimizing Inventory Replenishment for Seasonal Demand with Discrete Delivery Times

2021

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“…El modelo lo soluciona con una metodología de dos fases, en la primera con demanda determinista y la segunda estocástica, la resuelve con múltiples escenarios. Desarrollan una heurística de dos fases para resolver el modelo [40].…”

Section: Tipos De Modelos Y Métodos De Soluciónunclassified

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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“…The forms of functions ′( ) and ′′( ) in Equation (19) are as follows: Equations (18) and (19) can be utilized to calculate the determinant of the Hessian matrix and judge that the objective function exist only one optimal solution or not. However, the determinant of H ( ( 1 , 2 , . .…”

Section: A Mathematical Analysismentioning

confidence: 99%

“…In their model, the demand depends on stock level and price. Sakulsom and Tharmmaphornphilas (2019) [19] developed heuristic algorithms to determine an ordering policy under varying demand with seasonal variation. Shamayleh et al (2019) [20] proposed a replenishment strategy for retailers who is facing a timevarying demand for cold products.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic EPQ Model for Time-Varying Demand Problem With Product Life Cycle

Fang

Yeh

2020

IEEE Access

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The study explores a dynamic economic production quantity model whose demand function in consideration of market-trend issue to decide the optimal number of production cycles, the corresponding optimal production time points, and the best time to withdraw from the production line. The objective function of the total relevant costs considered in the model is formulated as a nonlinear programming problem, and a complete search procedure is developed to find the optimal solution of inventory cost. The characteristics of daily necessaries, technology products and fashion products are also analyzed to develop different strategies for the decision makers. The proposed model and algorithm not only provided the optimal solution of the production period and cycle time but also gave the suggestion of the best time to withdraw from the market. Moreover, in order to provide the managers with useful information of the impacts of inventory cost, Monte Carlo technique is used to simulate the stochastic demand. In considering of the stochastic demand, the situation of shortage will definitely happen without or insufficient safe stock. Finally, a numerical example and the corresponding sensitivity analyses are carried out to illustrate the features of our model by utilizing the search procedure developed in this study. INDEX TERMS inventory; economic production quantity; product life cycle; time-varying demand.

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Heuristics for a periodic-review policy in a two-echelon inventory problem with seasonal demand

Cited by 14 publications

References 26 publications

Optimizing Inventory Replenishment for Seasonal Demand with Discrete Delivery Times

Optimizing Inventory Replenishment for Seasonal Demand with Discrete Delivery Times

Modelos logísticos estocásticos: una revisión de la literatura

A Dynamic EPQ Model for Time-Varying Demand Problem With Product Life Cycle

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