Using the knowledge base and fuzzy inference system to estimate the safety factor in calculating the number of the kanban cards Online publication date: Mon, 08-Jan-2018
by Farzad Firouzi Jahantigh; Ali Noroozian; Ali Daneshi
International Journal of Industrial and Systems Engineering (IJISE), Vol. 28, No. 2, 2018
Abstract: There are many studies in the field of using fuzzy logic in estimating the logistic computational parameters. In most of these studies, the proposed model is too large and too complicated which contains a lot of parameters. These issues make the proposed models hard to use in many industries. In this article, the safety factor considered in kanban card calculations named kanban safety factor and its relationship with fuzzy theory are addressed. Since kanban safety factor is obtained using expert judgements, there is uncertainty in it. Therefore, a practical fuzzy method is introduced in this article to calculate kanban safety factor. The method is efficient due to its simple calculations and comprehensive due to its ability to consider all parameters that affect kanban safety factor. The new proposed fuzzy method is implemented in a warehouse of Iran Khodro Corporation of Iran which resulted in remarkable improvements.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Industrial and Systems Engineering (IJISE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook