A supply chain forecast and planning application for small businesses

Jishan Zhu and Yajun Yang

International Journal of Data Analysis Techniques and Strategies, 2012, vol. 4, issue 4, 378-397

Abstract: Supply chain demand forecast and inventory purchase planning are essential business operations to many businesses. In this paper, we discuss the strategies and techniques in the supply chain demand forecast and inventory purchase planning for small businesses from practitioner's perspective. The strategies and techniques include using point-of-sales (POS) data for better demand forecast, designing and developing an Excel-based spreadsheet modelling tool to assist the decision-making. The paper demonstrates: 1) forecasting techniques using regression model; 2) purchase planning using Excel-based spreadsheets; 3) data lookup techniques to link sales, purchase and inventory data.

Keywords: supply chain forecasting; supply chain planning; small businesses; demand forecasts; business applications; data lookup; inventory planning; purchase planning; data analysis strategies; small firms; supply chain management; SCM; decision making; regression modelling; spreadsheets. (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=50403 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:injdan:v:4:y:2012:i:4:p:378-397

Access Statistics for this article

More articles in International Journal of Data Analysis Techniques and Strategies from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().