Mira M.,University of Jeddah Jeddah
Proceedings - 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation, UKSim 2016 | Year: 2016
Inventory is carrying high risk and high benefit as a supply chain management system. A shortage or lack of supplying sufficient inventory can disrupt manufacturing plan. Inventory management plays an important role to avoid shortage or ending up with overstock. The most important task of inventory management is making trade-off between the minimization of the total cost and maximization of the customer satisfaction. The goal of this study is to introduce a model that can maximize the availability rate of accessories and reduce the total inventory costs in conversion services. To overcome this problem, the Fuzzy Logic Approach was used. Fuzzy logic was used to control uncertainties in demand and supply. Fuzzy logic control is now being the effective methodology in many applications under uncertainty. In the proposed Fuzzy Inventory System (FIS), both demand and lead time are described in linguistic terms. Then, the developed fuzzy rules were used to extract the fuzzy order quantity. The fuzzy model reduced the total inventory cost almost by 26%. In addition, no shortage was allowed in these models. © 2016 IEEE.
PubMed | Suez Canal University, University of JeddahJeddah and University of Jeddah Jeddah
Type: | Journal: Frontiers in microbiology | Year: 2016
This study evaluates the potential application of silver nanoparticles (AgNPs) as antimicrobial or nematicidal agents produced by the extremophile