Controlling distribution inventory systems with shipment consolidation and compound Poisson demand

Johansson, Lina; Sonntag, Danja; Marklund, Johan; Kiesmüller, Gudrun P.

doi:10.1016/j.ejor.2019.06.045

Cited by 21 publications

(14 citation statements)

References 33 publications

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“…The present indicator addresses the concept of the value of delivered products. In this sense it can be considered as a proxy of the inventory cost that is a key issue for each organization in managing its warehouse operations (Johansson et al. , 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Classifying healthcare warehouses according to their performance. A Cluster Analysis-based approach

Cagliano

Mangano

Rafele

et al. 2021

IJLM

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PurposeThe objective of this paper is to propose an approach to comparatively analyze the performance of drugs and consumable products warehouses belonging to different healthcare institutions.Design/methodology/approachA Cluster Analysis is completed in order to classify warehouses and identify common patterns based on similar organizational characteristics. The variables taken into account are associated with inventory levels, the number of SKUs, and incoming and outgoing flows.FindingsThe outcomes of the empirical analysis are confirmed by additional indicators reflecting the demand level and the associated logistics flows faced by the warehouses at issue. Also, the warehouses belonging to the same cluster show similar behaviors for all the indicators considered, meaning that the performed Cluster Analysis can be considered as coherent.Research limitations/implicationsThe study proposes an approach aimed at grouping healthcare warehouses based on relevant logistics aspects. Thus, it can foster the application of statistical analysis in the healthcare Supply Chain Management. The present work is associated with only one regional healthcare system.Practical implicationsThe approach might support healthcare agencies in comparing the performance of their warehouses more accurately. Consequently, it could facilitate comprehensive investigations of the managerial similarities and differences that could be a first step toward warehouse aggregation in homogeneous logistics units.Originality/valueThis analysis puts forward an approach based on a consolidated statistical tool, to assess the logistics performances in a set of warehouses and, in turn to deepen the related understanding as well as the factors determining them.

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Section: Literature Reviewmentioning

confidence: 99%

Classifying healthcare warehouses according to their performance. A Cluster Analysis-based approach

Cagliano

Mangano

Rafele

et al. 2021

IJLM

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show abstract

“…[44] proponen un modelo sostenible de inventarios integrado VMI con consolidación de pedidos, costo de flete dependiente del volumen, demanda aleatoria y LT constantes, consideran dos medios de transporte para la distribución donde la relación entre el plazo de entrega-emisiones es inversamente proporcional, con una política (s-1, S), buscan minimizar el costo total y las emisiones de CO2. En [50] aplican el modelo de Stenius a un caso práctico de una empresa cuyo transporte de producto es costoso por las dimensiones del producto. En [48] presentan un modelo centralizado para tres eslabones de circuito cerrado (close loop (CLSC)), un fabricante, un reconstructor y un minorista.…”

Section: Clasificación Por Tipos De Parámetrosunclassified

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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“…Moreover, most previous studies assumed a fixed lead time with probabilistic demand under a Poisson, compound Poisson or normal distribution (Canyakmaz et al , 2019; Johansson et al , 2020; Kiesmüller et al , 2004; Kouki et al , 2019). To increase SC flexibility and firms’ MR, the current study considers the demand-during-lead-time distribution as the integration of the parameters of the demand distribution and estimates these parameters using the forecasting method and lead-time distribution.…”

Section: Problem Descriptionmentioning

confidence: 99%

Supply chain management and market responsiveness: a simulation study

Aljanabi

Ghafour

2020

JBIM

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Purpose This study aims to provide a practical solution to the relationship between supply chain (SC) integration and market responsiveness (MR). A method is proposed to integrate SC and MR parameters, namely, product supply and demand in the context of low-value commodities (e.g. cement). Design/methodology/approach Simulation and forecasting approaches are adopted to develop a potential procedure for addressing demand during lead time. To establish inventory measurements (safety stock and reorder level) and increase MR and the satisfaction of customer’s needs, this study considers a downstream SC including manufacturers, depots and central distribution centers that satisfies an unbounded number of customers, which, in turn, transport the cement from the industrialist. Findings The demand during lead time is shown to follow a gamma distribution, a rare probability distribution that has not been considered in previous studies. Moreover, inventory measurements, such as the safety stock, depending on the safety factor under a certain service level (SL), which enables the SC to handle different responsiveness levels in accordance with customer requests. In addition, the quantities of the safety stock and reorder point represent an optimal value at each position to avoid over- or understocking. The role of SC characteristics in MR has largely been ignored in existing research. Originality/value This study applies SC flexibility analyzes to overcome the obstacles of analytical methods, especially when the production process involves probabilistic variables such as product availability and demand. The use of an efficient method for analyzing the forecasting results is an unprecedented idea that is proven efficacious in investigating non-dominated solutions. This approach provides near-optimal solutions to the trade-off between different levels of demand and the SC responsiveness (SLs) with minimal experimentation times.

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Controlling distribution inventory systems with shipment consolidation and compound Poisson demand

Cited by 21 publications

References 33 publications

Classifying healthcare warehouses according to their performance. A Cluster Analysis-based approach

Classifying healthcare warehouses according to their performance. A Cluster Analysis-based approach

Modelos logísticos estocásticos: una revisión de la literatura

Supply chain management and market responsiveness: a simulation study

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