Title :
A production-remanufacturing inventory model with fuzzy random demand
Author_Institution :
Dept. of Bus. Adm., Zhejiang Economic & Trade Polytech., Hangzhou, China
Abstract :
The classical inventory control model with remanufacturing assumes that items are produced by perfectly reliable production and serviceable items with the determined demand. However, in reality, products are not always perfect but are directly affected by the reliability of the production process employed to manufacture the product. In this paper, a production inventory model with remanufacturing is developed in an imprecise environment. We extended the inventory model for the case of quality consideration and assumed that all returned items and imperfect items produced are remanufactured. And the model is to introduce demand as a fuzzy variable. A numerical example is considered to illustrate the model.
Keywords :
fuzzy set theory; process control; production control; reliability; stock control; fuzzy random demand; fuzzy variable; inventory control; production process; production-remanufacturing inventory model; reliable production; serviceable items; Biological system modeling; Economics; Inventory control; Machine learning; Mathematical model; Numerical models; Production; Fuzzy demand; Inventory control; Quality consideration; Remanufacturing;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580526