A Network Maturity Mapping Tool for Demand-Driven Supply Chain Management: A Case for the Public Healthcare Sector

The healthcare supply chain is a complex adaptive ecosystem that facilitates the delivery of health products to the end patient in a cost-effective way. However, low forecast accuracy and high demand volatility in healthcare supply chains have resulted in an increase in stockouts, operational ineffi...

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Autores principales: Munyaradzi Bvuchete, Sara Saartjie Grobbelaar, Joubert van Eeden
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/ac4b9cde50804675904b26343a7b9918
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spelling oai:doaj.org-article:ac4b9cde50804675904b26343a7b99182021-11-11T19:39:16ZA Network Maturity Mapping Tool for Demand-Driven Supply Chain Management: A Case for the Public Healthcare Sector10.3390/su1321119882071-1050https://doaj.org/article/ac4b9cde50804675904b26343a7b99182021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11988https://doaj.org/toc/2071-1050The healthcare supply chain is a complex adaptive ecosystem that facilitates the delivery of health products to the end patient in a cost-effective way. However, low forecast accuracy and high demand volatility in healthcare supply chains have resulted in an increase in stockouts, operational inefficiencies, poor health outcomes, and a significant increase in supply chain costs. To cope with these challenges, organisations are trying to adopt demand-driven supply chain management (DDSCM) operating practices which have been established in other sectors such as the telecommunications, fruit, and flower industries. However, previous studies have not considered these practices in the healthcare industry, and hence no methodologies exist that support the implementation of these practices in this context. Moreover, current studies present cases where the focus has been on improving and expanding individual organisational performance, but no supply chain network-level studies exist on the healthcare industry. Therefore, this paper provides a network-level analysis when addressing DDSCM in the healthcare industry. A grounded theory-based approach coupled with a conceptual framework analysis process was used to leverage a systematized literature review methodology with the development of a network maturity mapping tool for DDSCM which was validated in the public healthcare sector.Munyaradzi BvucheteSara Saartjie GrobbelaarJoubert van EedenMDPI AGarticlepublic healthcare supply chainsdemand-driven supply chain managementmaturity modelssegmentationproduct classificationEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11988, p 11988 (2021)
institution DOAJ
collection DOAJ
language EN
topic public healthcare supply chains
demand-driven supply chain management
maturity models
segmentation
product classification
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
spellingShingle public healthcare supply chains
demand-driven supply chain management
maturity models
segmentation
product classification
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
Munyaradzi Bvuchete
Sara Saartjie Grobbelaar
Joubert van Eeden
A Network Maturity Mapping Tool for Demand-Driven Supply Chain Management: A Case for the Public Healthcare Sector
description The healthcare supply chain is a complex adaptive ecosystem that facilitates the delivery of health products to the end patient in a cost-effective way. However, low forecast accuracy and high demand volatility in healthcare supply chains have resulted in an increase in stockouts, operational inefficiencies, poor health outcomes, and a significant increase in supply chain costs. To cope with these challenges, organisations are trying to adopt demand-driven supply chain management (DDSCM) operating practices which have been established in other sectors such as the telecommunications, fruit, and flower industries. However, previous studies have not considered these practices in the healthcare industry, and hence no methodologies exist that support the implementation of these practices in this context. Moreover, current studies present cases where the focus has been on improving and expanding individual organisational performance, but no supply chain network-level studies exist on the healthcare industry. Therefore, this paper provides a network-level analysis when addressing DDSCM in the healthcare industry. A grounded theory-based approach coupled with a conceptual framework analysis process was used to leverage a systematized literature review methodology with the development of a network maturity mapping tool for DDSCM which was validated in the public healthcare sector.
format article
author Munyaradzi Bvuchete
Sara Saartjie Grobbelaar
Joubert van Eeden
author_facet Munyaradzi Bvuchete
Sara Saartjie Grobbelaar
Joubert van Eeden
author_sort Munyaradzi Bvuchete
title A Network Maturity Mapping Tool for Demand-Driven Supply Chain Management: A Case for the Public Healthcare Sector
title_short A Network Maturity Mapping Tool for Demand-Driven Supply Chain Management: A Case for the Public Healthcare Sector
title_full A Network Maturity Mapping Tool for Demand-Driven Supply Chain Management: A Case for the Public Healthcare Sector
title_fullStr A Network Maturity Mapping Tool for Demand-Driven Supply Chain Management: A Case for the Public Healthcare Sector
title_full_unstemmed A Network Maturity Mapping Tool for Demand-Driven Supply Chain Management: A Case for the Public Healthcare Sector
title_sort network maturity mapping tool for demand-driven supply chain management: a case for the public healthcare sector
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/ac4b9cde50804675904b26343a7b9918
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