Strategic guidelines for supply chain coordination in healthcare and a mathematical model as a proposed mechanism for the measurement of coordination effects

Camacho, Delio Alexander Balcázar; Bello, Cesar Almicar López; Jaimes, Wilson Adarme

doi:10.15446/dyna.v83n197.55596

Cited by 15 publications

(6 citation statements)

References 21 publications

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“… Balcázar-Camacho et al, 2016 explores the interaction and cooperation between organizations that make the supply chain. This method suggests coordinated planning of healthcare services using a mixed-integer programming model.…”

Section: Literature Reviewmentioning

confidence: 99%

Enablers of resilience in the healthcare supply chain: A case study of U.S healthcare industry during COVID-19 pandemic

Zamiela

Hossain

Jaradat

2022

Research in Transportation Economics

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Section: Literature Reviewmentioning

confidence: 99%

Enablers of resilience in the healthcare supply chain: A case study of U.S healthcare industry during COVID-19 pandemic

Zamiela

Hossain

Jaradat

2022

Research in Transportation Economics

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“…In literature there is still limited number of attempts to address SC performance in healthcare not just from an operational point of view but also from a strategic one. Balcázar-Camacho and others (Balcázar-Camacho et al. , 2016) deal with how delivery times, production costs, and customer service perceptions can be positively affected by a coordinated SC planning.…”

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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“…Although in most of the articles the authors develop models considering uncertainty, Balcázar-Camacho et al [53] and Stecca et al [54] develop a linear programming model for a distribution network. The model proposed considers a multiechelon distribution system in which the objective function involves the minimization of the total costs.…”

Section: Optimization Of the Pharmaceutical Supply Chain Net-mentioning

confidence: 99%

A Structured Review of Quantitative Models of the Pharmaceutical Supply Chain

Franco

Alfonso-Lizarazo

2017

Complexity

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The aim of this review is to identify and provide a structured overview of quantitative models in the pharmaceutical supply chain, a subject not exhaustively studied in the previous reviews on healthcare logistics related mostly to quantitative models in healthcare or logistics studies in hospitals. The models are classified into three categories of classification: network design, inventory models, and optimization of a pharmaceutical supply chain. A taxonomy for each category is shown describing the principal features of each echelon included in the review; this taxonomy allows the readers to identify easily a paper based on the actors of the pharmaceutical supply chain. The search process included research articles published in the databases between 1984 and November 2016. In total 46 studies were included. In the review process we found that in the three fields the most common source of uncertainty used is the demand in the 56% of the cases. Within the review process we can conclude that most of the articles in the literature are focused on the optimization of the pharmaceutical supply chain and inventory models but the field on supply chain network design is not deeply studied.

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Strategic guidelines for supply chain coordination in healthcare and a mathematical model as a proposed mechanism for the measurement of coordination effects

Cited by 15 publications

References 21 publications

Enablers of resilience in the healthcare supply chain: A case study of U.S healthcare industry during COVID-19 pandemic

Enablers of resilience in the healthcare supply chain: A case study of U.S healthcare industry during COVID-19 pandemic

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

A Structured Review of Quantitative Models of the Pharmaceutical Supply Chain

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