Arabika Coffee Production Capacity Planning with Rough Cut Capacity Planning (RCCP)

Department of Industrial Engineering, Faculty of Engineering, Hasanuddin University, 92119, Gowa, Indonesia

^* Corresponding author: a.besseriyani@gmail.com

Abstract

Industrial competition causes companies to be required to increase efficiency, produce quality products and deliver products on time. UMKM Kaana Toraya Coffee is a manufacturing industry that processes Coffee and Food & Beverages. Demand for Kaana Toraya Coffee tends to fluctuate. So a Production Plan is needed that is adjusted to production capacity. The aim of this research is to forecast future needs, validate the production plan and design a master production schedule. Forecasting needs using the Weighted Moving Average and Single Exponential Smoothing methods to analyze production plans using the Rough Cut Capacity Planning method with the Bill of Labor. The forecasting results using the Single Exponential Smoothing method with a constant of 0.9 are used as a production plan based on the smallest accuracy. RCCP shows that there is a lack of capacity in the roasting work center. The alternative that was implemented was optimizing the utility of working hours, but there was a lack of capacity, so the second alternative wa to move the workload to the previous period. The Master Production Schedule with RCCP for the period July 2023 to March 2024 in kilograms are 147, 173, 148, 149, 150, 159, 147, 144, and 156.