Abstract
CV XYZ is a growing plywood company. In increasing the company's competitiveness, CV XYZ seeks to find more ideal production planning for the company. The difference between supply and demand of CV XYZ has a total gap of 7,676 m3 over a period of 30 months. This proves that the current CV XYZ production planning is not ideal to be able to keep up with fluctuating demand. This study aims to analyze medium term production planning. Demand forecasting method is used to determine demand in the coming 12 months period. To compare the current CV XYZ strategy with the level, chase, mixed strategy. Based on calculations that have been made using demand and CV XYZ production variables, it is known that the ideal method used for future production planning is the chase strategy. The chase strategy focuses on eliminating existing inventory in the company, using adjusting the number of working days to the number of demands, as well as purchasing units from subcontracts. The use of a chase strategy has a 43% lower cost impact. In 2017-2018, the average monthly production cost is Rp1,633,316,531 to Rp930,905,200. Keywords: demand forecasting, aggregate planning, level strategy, chase strategy, mixed strategy
Highlights
The difference between supply and demand of CV XYZ has a total gap of 7,676 m3 over a period of 30 months
This proves that the current CV XYZ production planning is not ideal to be able to keep up with fluctuating demand
This study aims to analyze medium term production planning
Summary
P-ISSN: 2407-5434 E-ISSN: 2407-7321 Accredited by Ministry of RTHE Number 32a/E/KPT/2017. Hal tersebut untuk dapat mengantisipasi terjadinya ketidakpastian jumlah permintaan yang membuat banyak tenaga kerja dalam keadaan menganggur atau sebaliknya, ketidakcukupan tenaga kerja sehingga menghambat waktu produksi. Data yang diperoleh dari perusahaan digunakan sebagai input dalam peramalan permintaan dan perencanaan produksi agregat. Lokasi penelitian dipilih secara sengaja dengan pertimbangan CV XYZ merupakan salah satu produsen plywood yang sedang berkembang dan memerlukan perencanaan produksi yang baik untuk meningkatkan daya saingnya. Data sekunder diperoleh dari laporan keuangan, data penjualan tahun 2017-2018, data jumlah karyawan, data tingkat produksi di CV XYZ, BPS, serta sumber data lain yang terkait dengan penelitian ini. Penelitian ini berfokus pada kegiatan analisis, formulasi, dan pengambilan keputusan atau kebijakan pada penentuan peramalan permintaan dan perencanaan produksi dalam jangka menengah CV XYZ yang harus dilakukan untuk mencapai proses bisnis yang lebih optimal dengan menggunakan analisis aggregate production planning (APP). Tahapan yang diterapkan dalam melakukan analisis dan pengolahan data pada penelitian ini terdiri dari:
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.
