Demand forecasting for a jewelry packaging company: pattern identification and assessment.
Document Type
Article
Publication Date
1991
Date Issued
January 1991
Date Available
November 2011
Abstract
Approximately seventy-five percent of all consumer purchases come in a package. However, virtually no data exists regarding wrapped metal boxes for the jewelry industry as a whole. This paper, using data from a company level instead of the whole jewelry packaging industry, is to examine the existence of any pattern in demand and develop a forecasting model for wrapped metal boxes. Seasonal factors, trend component, and other considerations are explored within the confines of univariate time series models. The identified pattern in demand is strategically important for both sales forecasting and manufacturing materials management. While the particular process developed in this study is based on the data from one packaging company, it could be readily adopted for other box manufacturers.one
Publisher
Elsevier Science Pub. Co
Recommended Citation
Chen, S.K. & Ebrahimpour, M. (1991) Demand forecasting for a jewelry packaging company: pattern identification and assessment. International Journal of Production Economics, 22, 203-209.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Comments
Abstract only. Full-text article is available only through licensed access provided by the publisher. Published in International Journal of Production Economics, 22, 203-209. Members of the USF System may access the full-text of the article through the authenticated link provided.