Effective Demand Forecasting in Health Supply Chains: Emerging Trend, Enablers, and Blockers

Health supply chains aim to improve access to healthcare, and this can be attained only when health commodities appropriate to the health needs of the global population are developed, manufactured, and made available when and where needed. The weak links in the health supply chains are hindering the...

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Main Author: Lakshmy Subramanian
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Logistics
Subjects:
Online Access:https://www.mdpi.com/2305-6290/5/1/12
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author Lakshmy Subramanian
author_facet Lakshmy Subramanian
author_sort Lakshmy Subramanian
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description Health supply chains aim to improve access to healthcare, and this can be attained only when health commodities appropriate to the health needs of the global population are developed, manufactured, and made available when and where needed. The weak links in the health supply chains are hindering the access of essential healthcare resulting in inefficient use of scarce resources and loss of lives. A chain is only as strong as its weakest link, and demand forecasting is one of the weakest links of health supply chains. Also, many of the existing bottlenecks in supply chains and health systems impede the accurate forecasting of demand, and without the ability to forecast demand with certainty, the stakeholders cannot plan and make commitments for the future. Forecasts are an important feeder for budgeting and logistics planning. Under this backdrop, the study examines how improved forecasting can lead to better short-term and long-term access to health commodities and outlines market-related risks. It explores further how incentives are misaligned creating an uneven distribution of risks, leading to the inability to match demand and supply. For this purpose, a systematic literature review was performed, analyzing 71 articles from a descriptive and content approach. Findings indicate the emerging trends in global health and the consequences of inaccurate demand forecasting for health supply chains. The content analysis identifies key factors that can pose a varying degree of risks for the health supply chain stakeholders. The study highlights how the key factors emerge as enablers and blockers, depending on the impact on the overall health supply chains. The study also provides recommendations for actions for reducing these risks. Consequently, limitations of this work are presented, and opportunities are identified for future lines of research. Finally, the conclusion confirms that by adopting a combination of approaches, stakeholders can ensure better information sharing, identify avenues of diversifying risks, and understand the implications.
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spelling doaj.art-885b0f6a2dca42c9a181e5895739464a2023-12-03T11:54:08ZengMDPI AGLogistics2305-62902021-02-01511210.3390/logistics5010012Effective Demand Forecasting in Health Supply Chains: Emerging Trend, Enablers, and BlockersLakshmy Subramanian0Research Department, Pamela Steele Associates, Oxford OX2 7HT, UKHealth supply chains aim to improve access to healthcare, and this can be attained only when health commodities appropriate to the health needs of the global population are developed, manufactured, and made available when and where needed. The weak links in the health supply chains are hindering the access of essential healthcare resulting in inefficient use of scarce resources and loss of lives. A chain is only as strong as its weakest link, and demand forecasting is one of the weakest links of health supply chains. Also, many of the existing bottlenecks in supply chains and health systems impede the accurate forecasting of demand, and without the ability to forecast demand with certainty, the stakeholders cannot plan and make commitments for the future. Forecasts are an important feeder for budgeting and logistics planning. Under this backdrop, the study examines how improved forecasting can lead to better short-term and long-term access to health commodities and outlines market-related risks. It explores further how incentives are misaligned creating an uneven distribution of risks, leading to the inability to match demand and supply. For this purpose, a systematic literature review was performed, analyzing 71 articles from a descriptive and content approach. Findings indicate the emerging trends in global health and the consequences of inaccurate demand forecasting for health supply chains. The content analysis identifies key factors that can pose a varying degree of risks for the health supply chain stakeholders. The study highlights how the key factors emerge as enablers and blockers, depending on the impact on the overall health supply chains. The study also provides recommendations for actions for reducing these risks. Consequently, limitations of this work are presented, and opportunities are identified for future lines of research. Finally, the conclusion confirms that by adopting a combination of approaches, stakeholders can ensure better information sharing, identify avenues of diversifying risks, and understand the implications.https://www.mdpi.com/2305-6290/5/1/12health supply chainsdemand forecastingglobal healthemerging trendsrisk allocation
spellingShingle Lakshmy Subramanian
Effective Demand Forecasting in Health Supply Chains: Emerging Trend, Enablers, and Blockers
Logistics
health supply chains
demand forecasting
global health
emerging trends
risk allocation
title Effective Demand Forecasting in Health Supply Chains: Emerging Trend, Enablers, and Blockers
title_full Effective Demand Forecasting in Health Supply Chains: Emerging Trend, Enablers, and Blockers
title_fullStr Effective Demand Forecasting in Health Supply Chains: Emerging Trend, Enablers, and Blockers
title_full_unstemmed Effective Demand Forecasting in Health Supply Chains: Emerging Trend, Enablers, and Blockers
title_short Effective Demand Forecasting in Health Supply Chains: Emerging Trend, Enablers, and Blockers
title_sort effective demand forecasting in health supply chains emerging trend enablers and blockers
topic health supply chains
demand forecasting
global health
emerging trends
risk allocation
url https://www.mdpi.com/2305-6290/5/1/12
work_keys_str_mv AT lakshmysubramanian effectivedemandforecastinginhealthsupplychainsemergingtrendenablersandblockers