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All Journal Jurnal Rekayasa Sistem Industri International Journal of Industrial Optimization (IJIO)
Muhammad Shodiq Abdul Khannan
Fakultas Teknologi Industri, Program Studi Teknik Industri, Universitas Pembangunan Nasional Veteran
Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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Analisis Penerapan Lean Manufacturing untuk Menghilangkan Pemborosan di Lini Produksi PT Adi Satria Abadi Khannan, Muhammad Shodiq Abdul; Haryono, Haryono
Jurnal Rekayasa Sistem Industri Vol 4, No 1 (2015)
Publisher : Jurnal Rekayasa Sistem Industri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (432.617 KB)

Abstract

Productivity achievement at PT Adi Satria Abadi (Golf Gloves Division) is not optimal because ofthe waste. Value Stream Mapping as a Lean Manufacturing tool is used to map the production processand identify and eliminate the waste. The advantage of VSM is its capability to give visual map of valueadded flow process, necessary but non value added flow process, and non value added flow process. In thisstudy Waste Assessment Model (WAM) also have been implemented to identify the waste. The sequence ofthree greatest waste are Defect/Reject 24,73%, Unneccessary Inventory 18,80%, and Unneccessary Motion15,44%. This study can reduce production lead time 62,22 minutes and improve the production throughputby 77 pcs.
Analisis Penerapan Lean Manufacturing untuk Menghilangkan Pemborosan di Lini Produksi PT Adi Satria Abadi Khannan, Muhammad Shodiq Abdul; Haryono, Haryono
Jurnal Rekayasa Sistem Industri Vol 4, No 1 (2015): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (432.617 KB) | DOI: 10.26593/jrsi.v4i1.1383.47-54

Abstract

Productivity achievement at PT Adi Satria Abadi (Golf Gloves Division) is not optimal because ofthe waste. Value Stream Mapping as a Lean Manufacturing tool is used to map the production processand identify and eliminate the waste. The advantage of VSM is its capability to give visual map of valueadded flow process, necessary but non value added flow process, and non value added flow process. In thisstudy Waste Assessment Model (WAM) also have been implemented to identify the waste. The sequence ofthree greatest waste are Defect/Reject 24,73%, Unneccessary Inventory 18,80%, and Unneccessary Motion15,44%. This study can reduce production lead time 62,22 minutes and improve the production throughputby 77 pcs.
Multi-item inventory policy with time-dependent pricing and rework cost Nafisah, Laila; Maharani, Nabilla Clara Devi; Astanti, Yuli Dwi; Khannan, Muhammad Shodiq Abdul
International Journal of Industrial Optimization Vol 2, No 2 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v2i2.4370

Abstract

The price of broiler chickens at the consumer level varies daily. The price can be very low or otherwise. The price has resulted from the imbalance between the availability of chicken from suppliers and the market demand. As a result, demand will also fluctuate because it is influenced by consumer purchasing power. When the price of live chickens is low, the carcass company will usually buy in large quantities and expect to sell them at a higher price. The problem arises when the chicken overstock company will risk product damage due to product buildup in the refrigerated warehouse, so rework is necessary. In this paper, we will be developed a multi-item inventory model that considers material prices that vary to time, probabilistic demand, and rework costs. The aim is to determine the right policy for controlling frozen chicken products' inventory to minimize losses and total inventory costs.  This model can evaluate the best time to order broiler chickens, how much to order, how long the interval between orders, and the optimal number of orders, resulting in minimum total inventory cost per period.  The model solution is carried out with an optimization approach based on the parameters that affect the model. A numerical example is given at the end of this paper for model validation and illustrates the model solving algorithm.
Co-Authors Haryono Haryono Haryono Haryono Laila Nafisah Maharani, Nabilla Clara Devi Yuli Dwi Astanti