Chance-Constrained Programming EOQ Model Based on Uncertain Measure

Autor: Li Xia Rong
Rok vydání: 2011
Předmět:
Zdroj: Applied Mechanics and Materials. :150-154
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.50-51.150
Popis: This paper provides chance-constrained programming EOQ (Economic Order Quantity) model for inventory based on uncertain measure. In the model, the ordering cost, shortage cost and holding cost per unit are assumed uncertain variables. When the parameters are some special uncertain variables with uncertainty distribution such as linear uncertain distribution and normal uncertain distribution, the model can be transformed into crisp equivalent programming. To illustrate the effectiveness of the model, some numerical examples are provided.
Databáze: OpenAIRE