Abstract
Fuzzy method has advantages in solving real-world problems that are mostly non-binary and non-linear, such as calculating the optimization of production quantities. A case study for the application of this method was applied in UD. Setia Kawan Company that run the production of solid concrete and block paving. The problems faced by this company is the high demand for products resulting in short stock and sometimes over stock due to unstable customer ordering and inaccurate management in production planning. From the calculations, the number of solid concrete block produced by the company on the period of October 2016, December 2016 and February 2017 was not optimal. According to Tsukamoto’s FIS, the optimal number of solid concrete block in the third period is 9973, 9562 and 12.087 unit of solid concrete block. While the number of block paving produced by the company on the period of November 2016, December 2016 and January 2017 was also not optimal. According to Tsukamoto’s FIS analysis, the optimal number of block paving in the third period should be 9.116, 10.113 and 7.120 unit of block paving
Highlights
Production planning is very important in the decision-making of a company strategy, in manufacturing companies
The determination of the optimal number of products to be produced becomes the key to proper production planning
Kawan Setia is one of the manufacturing companies engaged in the manufacture of solid concrete block and block paving
Summary
Production planning is very important in the decision-making of a company strategy, in manufacturing companies. Production planning is conducted with the aim to meet consumer demand and to improve company productivity. The problem faced by this company is the high demand for the product resulting in the company often experiencing short stock and some times over stock so that it is vulnerable to product damage. This is explained by the high demand data but the low inventory data and the amount of production in the period of October 2016 to March 2017 in demand, inventory and production data for both products. Fuzzy Inference System (FIS) is an approach which can be applied to aid the decision making and to resolve the issues [1,2,3]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
