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Journal : MBA: Journal of Management and Business Aplication

ANALYSIS OF BEEF INVENTORY PLANNING WITH APPROACH MONTE CARLO METHOD IN CV. PUTRA SURYA Ahmad Sauqi
MBA - Journal of Management and Business Aplication Vol 3 No 2 (2020)
Publisher : STIE Mandala Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31967/mba.v3i2.358

Abstract

Research with the title Analysis of Planning Beef Inventory with Monte Carlo Method Approach in CV. Putra Surya was held for 3 months, from September to November 2019. The data used in this research is secondary data obtained from the owner of CV. Putra Surya. Based on the results of the analysis that hasbeen done with Monte Carlo Simulation, CV. Putra Surya can plan beef supply for 2020 of 35,388 kg of beef with an average demand in one week of 707.76 kg. For expected requests or expected values of 704.96. The average demand that has been processed by the Monte Carlo Simulation method of 707.76 kg per week is not too different from the expected demand of 704.96 kg per week. There is a difference of 2.8 kg between the simulation value and the expected value and this difference can be influenced by the number of tests or experiments conducted. Keywords:Inventory, Supplay,Demand,Monte Carlo
PRODUCT QUALITY CONTROL ANALYSIS BY USING STATISTICAL PROCESSING CONTROL ON PRINTING SAKILA JEMBER Ahmad Sauqi; Helmi Agus Salim; Saiful Amin
MBA - Journal of Management and Business Aplication Vol 5 No 1 (2022)
Publisher : STIE Mandala Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31967/mba.v5i1.551

Abstract

The pandemic has made many businesses out of business, one of the affected business activitiesis Sakila's printing business. Initial surveys show an average of 4.46% of production damage.The direction of this research is to control quality with statistical aids in the form of SPC. Theresults showed that this printer experienced various deviations, as evidenced by the p chart valuewhich was still outside the control limit. The graphic map showed there were 17 points outsidethe control limit. The total damage from 6 product items for a month amounted to 4543 from atotal production of 70,647. Sequentially, the worst damage was in the opaque damage 2740, thedamage was not in accordance with the layout 1008 and the damage due to being cut was 795.The factors causing the damage were workers, production machines, raw materials, workmethods and the work environment.