Time dependence in joint replacement to multi-products grouped. The case of hospital food service

This paper proposes a stochastic inventory policy of periodic review with joint replacement for multi-products applicable to food service. The products to supply are grouped by multivariate cluster analysis by features of interest in this service. The associated inventory model that describes the ra...

Full description

Saved in:
Bibliographic Details
Published inCogent engineering Vol. 3; no. 1; p. 1251029
Main Author Rojas, Fernando
Format Journal Article
LanguageEnglish
Published Abingdon Cogent 31.12.2016
Taylor & Francis Ltd
Taylor & Francis Group
Subjects
Autoregressive models
Autoregressive moving average
Autoregressive moving-average models
Cluster analysis
Cost function
Economic forecasting
Food
Food service
forecast
GLARMA model
Inventory management
joint replacement
Optimization
periodic review
stochastic programming
Time dependence
Online AccessGet full text

Cover

More Information
Summary:This paper proposes a stochastic inventory policy of periodic review with joint replacement for multi-products applicable to food service. The products to supply are grouped by multivariate cluster analysis by features of interest in this service. The associated inventory model that describes the random demand for each product considers forecast temporal dependence through a generalized linear autoregressive moving average (GLARMA) model. Optimization of the cost function related to the inventory model is obtained considering the expected value of the forecast of demand per unit time and stochastic programming. The proposed policy is exemplified with real-world data from a Chilean food service hospital.
ISSN:2331-1916
2331-1916
DOI:10.1080/23311916.2016.1251029