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All Journal Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Kristina Fitri Handayani
Universitas Widyatama
Economics, Econometrics & Finance Mathematics

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OPTIMALISASI BIAYA DISTRIBUSI KAIN MENTAH DI PT PQR MENGGUNAKAN METODE VAM (VOGELS APPROXIMATION METHOD) DAN LINGO Salma Rifaza Wahyu; Ana Rohima; Kristina Fitri Handayani; Muchammad Fauzi
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 1 No. 2 (2021): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (240.749 KB) | DOI: 10.46306/bay.v1i2.10

Abstract

Transportation is one of the most important things in distribution. One of them is PT. PQR distributes its products to a variety of different locations. PT. PQR is a textile factory located in 3 different places. PT. PQR manufactures a wide range of fabrics, manufacturing fabricated garments, clothing and socks. The company supplies fabric needs from both local and interlocal consumers. Therefore, careful planning is needed so that the flow of shipping does not go back and forth and is expected to minimize costs or costs. The method used to support the decision to be made is the VAM (Vogels Approximation Method). Researchers also use another method, lingo software as a comparison. The results obtained from this study will be used as a reference in decision making to distribute raw fabric to several different locations. Of course, the decision taken in accordance with expectations, namely the distribution of raw fabric at a small cost or as optimal as possible. The results and handling of Transportation using theVogels Approximation Method (VAM) are quite effective in its usefulness as a calculation of transportation costs in PT. PQR with a result of Rp 58,160,000, which is the same result as the results of LINGO software which is a programming application optimization model where the results obtained are optimal.
UPAYA MEMINIMALISASI CACAT PRODUK DENGAN IMPLEMENTASI METODE LEAN SIX SIGMAS: STUDI KASUS PERUSAHAAN PT XYZ Rhema Chintya Lestari; Kristina Fitri Handayani; Gun Gun Firmansah; Muchammad Fauzi
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 2 No. 1 (2022): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (326.938 KB) | DOI: 10.46306/bay.v2i1.31

Abstract

Competition in the manufacturing industry is now very fierce. The growth of the industry is running rapidly and that is why competition in each industry is so fierce. PT XYZ is a glassware factory and produces glass tools produced through several stages of the process. Currently the company's capabilities cannot meet market demand. This causes backorders to occur almost every month. This inability is due to the large number of defective products (defects) and waste (waste). This allows the company to continue to manage existing production systems effectively and efficiently. Implementation of lean six sigma in identifying defects and waste. Fixed defects and reduced drilling to increase production output. Stream mapping is used for identification against waste. While the identification of defects is done by control charts. After obtaining the data and analyzed using the cause effect diagram and pareto diagram so as to produce a series of recommendations for system improvement. The results of the research obtained by analyzing the root cause analysis method is that the cause of defective products is in the process of machine preparation and the inaccuracy of the operator tuning the machine. While the cause of waste occurs due to breakdown in the machine used in the production process.
Co-Authors Ana Rohima Gun Gun Firmansah Muchammad Fauzi Rhema Chintya Lestari Salma Rifaza Wahyu