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Journal : OPSI

PERANCANGAN SISTEM KERJA UNTUK MENINGKATKAN HASIL PRODUKSI MELALUI PENDEKATAN MACROERGONOMIC ANALYSIS AND DESIGN DI SENTRA INDUSTRI BATIK AYU ARIMBI SLEMAN Trismi Ristyowati; Tri Wibawa
OPSI Vol 11, No 2 (2018): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.22 KB) | DOI: 10.31315/opsi.v11i2.2553

Abstract

MINIMASI WASTE PADA AKTIVITAS PROSES PRODUKSI DENGAN KONSEP LEAN MANUFACTURING (Studi Kasus di PT. Sport Glove Indonesia) Trismi Ristyowati; Ahmad Muhsin; Putri Puji Nurani
OPSI Vol 10, No 1 (2017): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (580.249 KB) | DOI: 10.31315/opsi.v10i1.2191

Abstract

PT Sport Glove Indonesia merupakan perusahaan manufaktur yang memproduksi sarung tangan yang beralamat di Krandon Pendowoharjo, Sleman, Yogyakarta memiliki karakteristik make to order dalam proses produksinya. Dalam pemenuhan order harian, perusahaan sering tidak dapat mencapai target produksi, dikarenakan adanya pemborosan dalam proses produksi yang berupa cacat dan delay, sehingga dalam pemenuhan target produksi harian memerlukan waktu yang panjang, yang akhirnya melewati batas waktu dan target belum tercapai. Untuk itu penelitian ini bertujuan meminimasi wate aktivitas proses produksi agar target pemenuhan order apat tercapai.Dalam upaya pemenuhan order tersebut, perlu adanya perbaikan pada proses produksi, salah satu pendekatan yang digunakan untuk perbaikan ini adalah meminimasi sumber-sumber waste yang ada. Lean manufacturing merupakan pendekatan untuk mengefisiensi sistem dengan meminimasi pemborosan (waste). Pendekatan ini dilakukan dengan cara memahami aliran informasi dan fisik pada lantai produksi yang dibuat dalam bentuk visual dalam bentuk value stream mapping.Usulan perbaikan yang diberikan untuk meminimasi adanya waste cacat dan waiting pada proses produksi sarung tangan golf di PT Sport Glove Indonesia adalah penambahan pekerja pada proses jahit, kegiatan maintenance dalam bentuk preventive maintenance, melakukan pengawasan dan pengarahan kepada pekerja, dan memberi pelatihan kepada pekerja untuk meningkatan dan menyetarakan ketrampilan dan standar kerja.
PENJADWALAN PROYEK DENGAN PENERAPAN SIMULASI MONTE CARLO PADA METODE PROGRAM EVALUATION REVIEW AND TECHNIQUE (PERT) Widya Nurul Shofa; Irwan Soejanto; Trismi Ristyowati
OPSI Vol 10, No 2 (2017): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (608.284 KB) | DOI: 10.31315/opsi.v10i2.2110

Abstract

PT At Taqwa Sejahtera has implemented of residential development that duration about 152 day. Due to delay in the supply of primary raw materials, the processing time getting longer or not accordance to planning schedule on October 27, 2017. The project delay have impact on the company which will given punishment.The aim of this study research to the evaluate the project implementation schedule and project scheduling for more optimal time, with the best probability, and minimize the influence of the causes of delays to the project completion time. Project scheduling processing is done by using Program Evaluation Review and Technique (PERT) and implementation with Monte Carlo simulation using Ms Excel software.Based on data processing, the calculation of the project point accelerated time to 147 days with cost Rp 417.315.909,25 and probability of 63%, whereas with the application of Monte Carlo simulus the average conviction rate is at 156 days with cost Rp 402,310,654.25 and probability of 94%.  
Determination of Customer Order Decoupling Point (CODP) Based on Mass Customization Concept to Minimize Manufacturing Lead Time Yuli Dwi Astanti; Sadi Sadi; Deni Widiyanto; Puryani Puryani; Trismi Ristyowati
OPSI Vol 16, No 1 (2023): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v16i1.9679

Abstract

Make To Order (MTO) is a manufacturing strategy that executes different orders based on consumer demand. In the MTO strategy, products are produced only when there are orders from consumers. In this MTO system, the production process starts when an order arrives and starts with planning raw materials which takes a long time and causes a long lead time (MLT). Long MLT often causes production delays and forces companies to pay more overtime. Companies must adopt a production system that can fulfill a variety of orders and has a fast response time. In this research, a case study was conducted on a shoe and bag manufacturing company in the fashion industry. This study aims to implement a mass customization manufacturing (MC) strategy to minimize MLT. The MC strategy uses the concept of a production process based on orders and inventory. This study is expected to reduce MLT so that production delays do not occur again. The results of this study indicate that relocation of the customer order decoupling point (CODP) can reduce MLT from 30 days to 26 days. By reducing this, production delays can be overcome. In terms of costs, this production system is lower than before and the profits are higher.
Large neighborhood search for route and fleet optimization in frozen food distribution Simbolon, Jonathan Andrepa; Trismi Ristyowati; Soepardi, Apriani; Irwan Soejanto; Yuli dwi Astanti; Puryani; Chaeron, Mochammad
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15743

Abstract

This study develops an optimization model to enhance the distribution efficiency of a frozen food distributor. The company faces operational inefficiencies due to excessive fleet capacity and conventional route assignment methods, which increase travel distances and overall distribution costs. To address these challenges, an extended Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) model is proposed, which integrates heterogeneous fleet characteristics and prioritizes customer service constraints. The model is solved using the Large Neighborhood Search (LNS) metaheuristic to determine optimal routing and fleet allocation strategies. The optimized model achieves a 15.95% reduction in total travel distance and a 21.84% decrease in total distribution costs compared with the company’s current operations. The findings confirm the effectiveness of the LNS-based CVRPTW approach in improving logistics performance and provide practical insights for companies seeking to minimize distribution costs through strategic route planning and fleet management.