Inventory Level Optimization of Raw Materials for Ready-Made Garment Industry XYZ Pty Ltd using Mamdani Method of Fuzzy Interference System

11th International Seminar on Industrial Engineering & Management, "Technology and Innovation Challenges Towards Industry 4.0 Era

工业技术（总论）

Nurhasanah, N.^1 ; Fauzia, S.W.^1 ; Aribowo, B.^1 ; Safitri, R.^2 ; Samiono, B.^3 ; Lutfia, C.F.^1 ; Devana, M.^1 ; Kalifa, P.^1 ; Supriyanto, A.^2

Industrial Engineering Department, Faculty of Science and Technology, Universitas Al Azhar Indonesia, Sisingamangaraja Street, Jakarta

12110, Indonesia^1

Informatic Engineering Department, Faculty of Science and Technology, Universitas Al Azhar Indonesia, Sisingamangaraja Street, Jakarta

12110, Indonesia^2

Management Department, Faculty of Economy, Universitas Al Azhar Indonesia, Sisingamangaraja Street, Jakarta

12110, Indonesia^3

关键词: Demand;    Fuzzy inference systems;    Fuzzy interference systems;    Garment industries;    Inventory;    Production activity;    Ready Made Garment;    Triangular fuzzy numbers;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/528/1/012047/pdf
DOI  :  10.1088/1757-899X/528/1/012047

学科分类：工业工程学

来源: IOP

【 摘 要 】

Every company who performs production activities needs inventory of raw materials. The most important thing which is mandatory for all companies when performing their production activities is management of inventory, as inventory is an asset for a company. Availability of raw materials in the industry is expected to facilitate production/service activities to meet consumer needs. Ready-made garment industry, XYZ Pty Ltd is a family business established in 2004 located in Jakarta which engages in textile manufacture and has shown a relatively high demand. While XYZ Pty Ltd attempted to meet the demand, the inventory level was not able to balance with it, resulting in after-hour work of employees. In order to provide appropriate solutions, we proposed some strategies using Mamdani method and TFN (Triangular Fuzzy Number) range which selected appropriate rules to optimize inventory level of the company. Average of range score Fuzzy Interference System obtained for both production level and demand level were 36,500, while average of range score Fuzzy Interference System obtained for Inventory Cost and Inventory Level were 2,250,000,000 and 13,900, respectively. Rules resulting in a high inventory level are very good for use either together with other levels or not. Rules resulting in an intermediate inventory level are also good for use, in particular together with low and intermediate demand levels. Rules resulting in a high demand level are still good for use. On the other hand, rules resulting in a low inventory level are not good for use.