This research raises the problem of controlling the inventory of medicinal products. The case study was conducted at a drug store in the city of Solok, West Sumatra, where the drug store still has stock out and over stock of various types of drugs it manages. The purpose of this study was to control drug supplies that have a high demand value. Demand data for the period February-April 2020 are grouped with demand value criteria using the Pareto Classification ABC Method. From the demand categorization process, 45 types of drugs were included in A group, which means that this drug group provides a large revenue contribution for the drugstore. Thus, the type A drug group needs more attention from drug store manager in terms of controlling drug supplies. Furthermore, forecasting is carried out for drugs belonging to A drugs group using the Moving Average Method, the Single Exponential Smoothing Method and the Linear Regression Method. The inventory control method adopted is the Economic Order Quantity (EOQ) method. The results showed that the lot size of each type of drug per order ranged from 10-122 units with a safety stock ranging from 5-50 units of product. Then the reorder points obtained ranged from 8-81 units. With the control of drug supplies in place, it is hoped that the stock out and over stock that occurs in drug stores can be minimized.
Company X is a mini chocolate factory in West Sumatera Province. The Company produces three types of product, that is paralin chocolate, bar chocolate 75 gr and bar chocolate 20 gr. Today, production planning only based on customer demand without any analysis an optimized amount of production to maximize profit. The purposed of this research was the optimization of production planning to maximize company profit. Goal programming approach was used in this research. There were four goals that need to optimize, that are, production volume, profit, processing time and raw material. Horizon plan was set up for six periods. LINDO software was used to compute an optimized result of goal programming. The final result shows an average of production amount for six periods, that were paralin chocolate about 65,95 kg, bar chocolate 75 gr about 883 bars and bar chocolate 20 gr about 3725 bars with maximum profit about Rp. 17.806.782, Corresponding author: lestarisetiawati@bunghatta.ac.id , 0 (2018) E C 2018 https://doi.org/10.1051/matecconf /2018248030 MATEC Web of Conferences 248 STI 3016 16
Pada Proses produksi pembuatan meubel ditemui penumpukan produk setengah jadi pada stasiun-stasiun kerja tertentu. Hal ini dikarenakan adanya stasiun kerja yang tidak memiliki kapasitas untuk memenuhi permintaan, sehingga mengakibatkan ketidakseimbangan aliran produksi dan belum adanya jadwal produksi yang optimal sehingga target produksi tidak tercapai. Penelitian dilakukan untuk pengoptimalan stasiun kerja yang tidak memiliki kapasitas untuk memenuhi permintaan dengan menggunakan metode Drum-Buffer-Rope dalam Theory of Constraints (TOC) berdasarkan pendekatan Program Linier. TOC dilakukan dengan pengidentifikasian stasiun kerja yang tidak memiliki kapasitas untuk memenuhi permintaan. Penggunaan TOC dengan pendekatan program linier dalam tujuannya untuk mendapatkan profit yang maksimal. Dalam penelitian ini ditinjau 3 jenis produk yaitu produk kamar set mawar, kursi tamu monaco dan kursi makan rosalinda diproses di 4 stasiun kerja. Berdasarkan penerapan metode Drum-Buffer-Rope dalam Theory of Constraints (TOC) diketahui stasiun kerja amplas merupakan stasiun kerja yang tidak memiliki kapasitas untuk memenuhi permintaan. Hasil penelitian adalah keseluruhan target produksi tidak dapat dilaksanakan, sehingga dilakukan prioritas produksi dengan program linier. Dari prioritas produksi dilakukan penjadwalan produksi yang memberikan waktu penyelesaian keseluruhan produk yang lebih singkat, sehingga waktu menganggur pada tiap stasiun kerja dapat diminimasi.
Production scheduling is the most important part in carrying out the production process that will be carried out on a production floor. Scheduling activities are carried out before the production process begins to ensure the smooth running of the production process. If the production scheduling is not done properly, there will be obstacles in the production process and will cause losses to the company. This study aims to determine the production machine scheduling in a company engaged in the manufacture of spare parts for automotive products. This company implements a job shop production process and uses the First In First Out method in completing its work. Due to the large number of products that have to be produced, there are often two or more products that must be worked on at the same time and machine. This condition causes some products to have to wait for the associated machine to finish operating and causes long product turnaround times. This problem is solved by making a production machine scheduling using the Non-Delay method. By applying this method, the makespan of completion time can be minimized.
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