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International Peer reviewed Engineering Journal || Crossref DOI || Impact Factor 8.6 || ISSN: 2582-5003

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Research & review articles are invited for publication in September 2026 (Vol. 28, Issue 3) || Submission: up to 28th September || Editorial decision: within 48 hrs.

Propagation of best practices in value and supply chain management: Demand forecasting and planning

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  • Propagation of best practices in value and supply chain management: Demand forecasting and planning

Washington Muchineripi Muzari * and Masimba Mukav

Department of Agricultural Engineering, Chinhoyi University of Technology, Chinhoyi, Zimbabwe.
 
Research Article
Global Journal of Engineering and Technology Advances, 2024, 19(01), 180–191.
Article DOI: 10.30574/gjeta.2024.19.1.0066
DOI url: https://doi.org/10.30574/gjeta.2024.19.1.0066
Received on 05 March 2024; revised on 17 April 2024; accepted on 20 April 2024
 
This paper is a discussion article that focuses on the propagation of best practices in value and supply chain management. Specifically, the article discusses the application of prudent demand analysis and forecasting techniques as tools for effective and efficient business management. The use of quantitative models such as time-series and econometric methods in forecasting prices, sales and demand volumes have formed the subject matter of the paper. The expeditious adoption of the techniques presented herein can equip the entrepreneur or manager with essential knowledge of future demand conditions that can be extremely useful when planning production schedules, inventory control, advertising campaigns, output in future periods, and investment, among other things. The ultimate expected impacts would be to facilitate the enhancement of economic and financial profitability, sustainability and other micro-economic and socio-economic performance variables.
 
Forecasting; Qualitative; Quantitative; Time-series; Econometric; Demand
 
https://gjeta.com/sites/default/files/fulltext_pdf/GJETA-2024-0066.pdf

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Washington Muchineripi Muzari and Masimba Mukav. Propagation of best practices in value and supply chain management: Demand forecasting and planning. Global Journal of Engineering and Technology Advances, 2024, 19(1), 180-191. Article DOI: https://doi.org/10.30574/gjeta.2024.19.1.0066

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