ANALYSIS OF PRODUCTION CAPACITY PLANNING AND CONTROL IN PT. KRAKATAU WAJATAMA WITH ROUGHT CUT CAPACITY PLANNING (RCCP)
Abstract
Production planning and control is an absolute must for companies that produce goods or services. This is considered very important because it is the core of the entire production process. Every company may not carry out a production activity if it does not conduct production planning and control activities. Production plan at PT. Krakatau Wajatama on capacity planning and production of profile steel products requires a production plan based on demand that might come so that it needs an appropriate plan so that there is no overproduction. Therefore, integration between production plans and capacity plans needs to be done in order to obtain a realistic production plan. The method used is forecasting, capacity planning using RCCP can be done with the conversion process of the Production Plan or MPS based on order requests in bales in the period January 2019 to December 2019 into the time requirement of the production machine. Estimated results of 2019 demand for profile steel production are IWF-Flange, U-Chanal, L-Angels. In January 2019 it was 250836,713 minutes, February 2019 was 225731.5425 minutes, March 2019, and for IWF-Flange, U-Chanal, L-Angels products. In January 2019 it was 298080 minutes, February 2019 was 259200 minutes, March 2019 was 298080 minutes. company capacity planning needs on profile steel products namely IWF-Flange, U-Chanal, L-Angels using machine capacity that is used multiplied by hours per shift at times of shifts per day multiplied by workdays per period by converting production plans or MPS into capacity by using the RCCP concept with the Capacity Planning Using Overall Factors (CPOF) method.
References
[2.] Heizer, J., & Render, B. (2005). Operations Management (7th ed.). Jakarta: Salemba Empat.
[3.] Nasution, A. H., & Prasetyawan, Y. (2008). Perencanaan & pengendalian produksi.
[4.] Ramdhanu, E., & Hasibuan, S. (2017). Perancangan Collaborative Planning Forecasting Replenishment “ Travel Bag ” Pada Travel Agent Dwidaya Tour. Operation Excellent, 9(2), 91–103.
[5.] Ravinder, H. V., & Misra, R. B. (2016). ABC Analysis For Inventory Management: Bridging The Gap Between Research And Classroom. American Journal of Business Education (AJBE), 9(1), 1. https://doi.org/10.19030/ajbe.v9i1.9578
[6.] Riza, M., & Purba, H. (2018). The implementation of economic order quantity for reducing inventory cost. Research in Logistics & Production, 8(3), 207–216. https://doi.org/10.21008/j.2083-4950.2018.8.3.1
[7.] Russell, R. S. B. W. T. I. (2008). Operations Management (7th ed.). John Wiley & Sons, Inc.
[8.] Subagyo, P. (2000). Forecasting : konsep dan aplikasi. In BPFE. https://doi.org/10.1007/978-94-6091-299-3_10
[9.] Sumayang, L. (2003). Dasar-Dasar Manajemen Produksi dan Operasi. Jakarta: Salemba Empat.
[10.] Hernadewita, H., Hadi, Y. K., Syaputra, M. J., & Setiawan, D. (2020). Peramalan Penjualan Obat Generik Melalui Time Series Forecasting Model Pada Perusahaan Farmasi di Tangerang: Studi Kasus. Journal of Industrial Engineering & Management Research, 1(2), 35-49. https://doi.org/10.7777/jiemar.v1i2.38
[11.] Zuhri, S., Juhandi, N., Sudibyo, H. H., & Fahlevi, M. (2020). Determinasi Harga Saham Perusahaan Manufaktur Subsektor Makanan dan Minuman. Journal of Industrial Engineering & Management Research, 1(2), 25-34. https://doi.org/10.7777/jiemar.v1i2.37
[12.] Kartika, H., & Setia Bakti, C. (2020). Analysis of 6004-2RSL SKF Bearing Inventory By Economic Order Quantity (EOQ) Method in Spart Part Division. Journal of Industrial Engineering & Management Research, 1(1), 17-27. https://doi.org/10.7777/jiemar.v1i1.19
[13.] Hernadewita, H., Zuniawan, A., Maryani, E., & Karini, N. D. (2020). FORECASTING ANALYSIS OF URETHANE BLADE NEEDS ON BELT CLEANER TO MINIMIZE FORECAST ERROR (CASE STUDY AT PT. MS ENGINEERING) . Journal of Industrial Engineering & Management Research, 1(2), 89-102. Retrieved from https://jiemar.org/index.php/jiemar/article/view/43