 Using the knowledge base and fuzzy inference system to estimate the safety factor in calculating the number of the kanban cardsFarzad Firouzi Jahantigh, Ali Noroozian and Ali Daneshi International Journal of Industrial and Systems Engineering, 2018, vol. 28, issue 2, 275-287 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. Keywords: fuzzy knowledge base; fuzzy inference engine; kanban; kanban safety factor; fuzzy membership functions. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:28:y:2018:i:2:p:275-287 Access Statistics for this article More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd |
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