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All Journal Jurnal Rekayasa Sistem Industri International Journal of Economics, Business and Accounting Research (IJEBAR)
Sugih Sudharma Tjandra
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Economics, Econometrics & Finance Industrial & Manufacturing Engineering

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PROPOSED SELECTION OF PVC PIPE PRODUCT SUPPLIERS IN TOKO BESI LANCAR REJEKI USING THE ANALYTICAL NETWORK PROCESS METHOD Milka Vanessa; Hanky Fransiscus; Sugih Sudharma Tjandra
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 8, No 2 (2024): IJEBAR, VOL. 08 ISSUE 02, JUNE 2024
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v8i2.13903

Abstract

Toko Besi Lancar Rejeki is a shop that sells materials and equipment for building materials. This store was founded in 2003 and cooperates with several suppliers to supply some building materials. One of the items supplied is a pipe. Pipes are items that are quite often purchased. There is a main supplier that supplies PVC pipe product, namely Supplier A. However, there are some situations that make the store suffer losses, such as shipping errors made by the supplier and damage to the pipe which makes the store must return it to the supplier. Identification and decision-making processes are done using the Analytical Network Process (ANP) method which is based on the relationship between the criteria and sub-criteria. There are 6 criteria, 14 sub-criteria, and 10 relationships. The 6 criteria set are variety, price, quality, service, delivery, and flexibility. This assessment resulted in supplier selection priorities that can be carried out by Toko Besi Lancar Rejeki, namely Supplier C with a limiting value of 0.124982, for Supplier B it is 0.106648, and Supplier A it is 0.09128. Supplier selection is based on the priority sub-criteria obtained, namely the price of one pipe, pipe flexibility, and discounts.
Implementasi Green Lean Six Sigma Pada Industri Manufaktur Atap Fiber Semen untuk Perbaikan Gain Yield dengan Analisis Biaya (Studi Kasus PT. X Kab. Bekasi) Muhammad Riza Saifurrizqi Azizi; Sugih Sudharma Tjandra
Jurnal Rekayasa Sistem Industri Vol. 15 No. 1 (2026): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v15i1.7618.1-22

Abstract

PT X is a manufacturing industry that produces fiber cement roofing. In company's business organization and operations, there is a KPI called LCP which one of the parameters is gain yield. Gain yield for the period January until December 2022 is in the range of 20.1% up to 30.4% with the target in the LCP which is 28% up to 34%. In the fiber cement roof production process generated waste, waste from the process is recycled and the processing results are called recycle slurry (RS) for reuse in the process. The research was conducted on production line 7 with the DMAIC method, Value Stream Mapping (VSM), and cost analysis to increase yield gain. The initial measurement of the average yield gain was 27.30% and the CTQ parameter capability process (CpK) did not meet the requirements with CpK value less than 1.33 and sigma level less than 4. The result of the improvement obtained gain yield of production line 7 increased to 29.46%. For the CpK value, the thickness of autoside sheet and the thickness of finish goods product increased to 1.01 and 1.00. CpK %use of recycle slurry, volumetry overflow, and volumetry loss vat increased to 1.34 up to 2.26. Sigma level of CTQ parameters after improvement is increased. Sigma level of autoside sheet thickness and thickness of finish goods products to 3.03 and 3.00. Sigma level %use of recycle slurry, volumetry overflow, and volumetry loss vat to greater than 4 sigma level. Implementation of Green Lean Six Sigma obtained savings in the use of raw materials and raw material costs, where an observation was obtained of Rp.1,249,512,253 per year or Rp. 104,126,021 per month.
Co-Authors Hanky Fransiscus Milka Vanessa Muhammad Riza Saifurrizqi Azizi