文章基本信息

标题：Forecast Methods and Periodic Review Inventory Model for Supply Planning to Reduce Food Waste
本地全文：下载
作者：Leslie-Noelia Ceballos-Palomares ; Andrés-Benjamín Nava-Jiménez ; Santiago-Omar Caballero-Morales 等
期刊名称：Asian Journal of Economics, Business and Accounting
印刷版ISSN：2456-639X
出版年度：2021
卷号：21
期号：5
页码：24-40
DOI：10.9734/ajeba/2021/v21i530378
语种：English
出版社：Sciencedomain International
摘要：Food waste is an important economic and resource problem in all countries around the world. Particularly, the restaurant sector highly contributes to food waste and limited efforts or studies have been performed to overcome this problem. In this context, the present study addresses an alternative to improve the supply planning for perishable products in the restaurant sector through the application of specific forecasting methods and a stochastic inventory control model. For this purpose, a real enterprise within this economic sector was considered. Our findings support that monthly forecasts can be more appropriate for accurate demand estimation and supply planning of perishable products, which is important to reduce unnecessary products. Also, the periodic review inventory control model can lead to a more appropriate supply scheme to reduce the waste of surplus food. These findings and the proposed techniques can be used for other economic entities to reduce product waste due to poor supply planning.
关键词：Food waste reduction;variable demand;periodic review;inventory control