Claim Missing Document
Check
Articles

Penentuan Lot Size Pemesanan Bahan Baku Dengan Batasan Kapasitas Gudang Utama, Dana Marsetiya
Jurnal Ilmiah Teknik Industri Vol. 15, No. 1, Juni 2016
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper explains the problem of determining the lot size of ordering raw materials with warehouse capacity limitation in order to minimize inventory costs. Generally, the lot size of ordering raw materials determined without considering warehouse capacity. The algorithm that used is Wagner Within (WW) which is modified by adding a warehouse capacity as a constraint. The result shows the minimum of total inventory cost is 24,100 and the ordering raw materials at the week 3, 5 and 7.
Identifikasi Waste Pada Proses Produksi Key Set Clarinet Dengan Pendekatan Lean Manufacturing Utama, Dana Marsetiya; Dewi, Shanty Kusuma; Mawarti, Veronika Indah
Jurnal Ilmiah Teknik Industri Vol. 15, No. 1, Juni 2016
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study discusses lean manufacturing concept to identify waste in Key Set Clarinet production process at Yamaha Musical Products Indonesia, Ltd. The lean manufacturing concept is done intially by big picture mapping, waste assessment model (WAM), value stream mapping (VSM) and cause and effect diagram respectively. The results show that the dominant waste is defect (26.04%), motion (19.34%), inventory (19.22%), and waiting (13.91%).
Penentuan Lot Size Pemesanan Bahan Baku Dengan Batasan Kapasitas Gudang Utama, Dana Marsetiya
Jurnal Ilmiah Teknik Industri Vol. 15, No. 1, Juni 2016
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v15i1.1664

Abstract

This paper explains the problem of determining the lot size of ordering raw materials with warehouse capacity limitation in order to minimize inventory costs. Generally, the lot size of ordering raw materials determined without considering warehouse capacity. The algorithm that used is Wagner Within (WW) which is modified by adding a warehouse capacity as a constraint. The result shows the minimum of total inventory cost is 24,100 and the ordering raw materials at the week 3, 5 and 7.
Identifikasi Waste Pada Proses Produksi Key Set Clarinet Dengan Pendekatan Lean Manufacturing Utama, Dana Marsetiya; Dewi, Shanty Kusuma; Mawarti, Veronika Indah
Jurnal Ilmiah Teknik Industri Vol. 15, No. 1, Juni 2016
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v15i1.1572

Abstract

This study discusses lean manufacturing concept to identify waste in Key Set Clarinet production process at Yamaha Musical Products Indonesia, Ltd. The lean manufacturing concept is done intially by big picture mapping, waste assessment model (WAM), value stream mapping (VSM) and cause and effect diagram respectively. The results show that the dominant waste is defect (26.04%), motion (19.34%), inventory (19.22%), and waiting (13.91%).
PENJADWALAN JOB SHOP STATIK DENGAN METODE SIMULATED ANNEALING UNTUK MEMINIMASI WAKTU MAKESPAN Husen, Moh.; Masudin, Ilyas; Utama, Dana Marsetiya
SPEKTRUM INDUSTRI Vol 13, No 2: Oktober 2015
Publisher : Universitas Ahmad Dahlan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (452.921 KB) | DOI: 10.12928/si.v13i2.2689

Abstract

Penjadwalan bagi perusahaan adalah aspek yang sangat penting, karena penjadwalan merupakan salah satu elemen perencanaan dan pengendalian produksi, sehingga perusahaan dapat mengirim barang sesuai dengan waktu yang telah ditentukan, agar diperoleh waktu total penyelesaian yang minimum. Dalam penelitian ini, penjadwalan menggunakan metode Simulated Annealing (SA) dengan bantuan Matlab diharapkan dapat menghasilkan waktu total penyelesaian (makespan) lebih cepat dari penjadwalan yang ada pada perusahaan. Metode SA mensimulasikan proses annealing pada pembuatan materi yang terdiri dari butiran Kristal atau logam. Tujuan dari proses ini adalah menghasilkan struktur kristal yang baik dengan menggunakan energi seminimal mungkin. Permasalahan yang dihadapi oleh perusahaan adalah perusahaan belum mempertimbangkan makespan dalam penyelesaian produk dan penjadwalan produksi untuk produk paket satu rumah kos-kosan. Hal ini berdasarkan data produksi yang terjadi keterlambatan dilihat dari waktu penyelesaian (makespan) produksi, sehingga perusahaan harus menambah 2-5 hari lagi untuk bisa menyelesaikan keseluruhan produk. Dengan menggunakan metode SA menghasilkan makespan 23 jam, lebih cepat 2 jam dari pada penjadwalan awal. Kata kunci : penjadwalan, job shop, simulated annealing, idle time, makespan.
Pengembangan Algoritma Hybrid Flowshop Three-Stage Dengan Mempertimbangkan Waktu Setup Utama, Dana Marsetiya; Garside, Annisa Kesy; Wicaksono, Wahyu
Jurnal Ilmiah Teknik Industri Vol. 18, No. 1, Juni 2019
Publisher : Muhammadiyah University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v18i1.7683

Abstract

Hybrid flow shop scheduling is one topic that is often reviewed by researchers at this time. Hybrid flow shop scheduling is the development of problems from pure flow shop. Flow shop problems have one machine at each stage. In this problem, each stage of operation has a machine that is arranged in parallel. This article aims to discuss the issue of hybrid flow shop scheduling at three stage to minimize makespan. Some previous studies discussed scheduling problems by considering setup time. However, such research is generally for the problem of pure flow shop. Therefore, a new algorithm is proposed to solve the problem. The proposed algorithm is developed from the Pour heuristic algorithm. Several experiments were conducted to determine the performance of the proposed algorithm. This study uses ten numerical experiments. This experiment uses the number of jobs varying from 5 jobs to 50 jobs. The results of numerical experiments show that the proposed algorithm has better performance compared to some other algorithms. The proposed method produces an effective solution if it is used to solve problems with a large number of jobs..
PERANCANGAN SISTEM ENTERPRISE RESOURCE PLANNING MODUL SALES PADA DISTRIBUTOR BERAS UD MANIS Utama, Dana Marsetiya; Yulianto, Ferry
Jurnal Teknik Industri Vol 15, No 1 (2014): Februari
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (428.091 KB) | DOI: 10.22219/JTIUMM.Vol15.No1.61-69

Abstract

UD Manis is a rice distributor in Lamongan. The problem faced by UD Manis is having no information system for notifying stock in warehouse and customer order although company has used MS Access database. Company requires information system for notifying stock and integrating across department. There are 3 major steps in module sales in Enterprise Resource Planning (ERP) which are data collection, process planning and testing, & evaluation. The result of ERP system design particularly for module sales by using software package ?Adempiere? has process sequence as sales order, shipment, invoice, and payment. Testing result of ERP system design using Adempiere shows that warehouse and sales department could check actual stock in warehouse more agile and accurate.
Penjadwalan Job Shop Dengan Pendekatan Algoritma Artificial Immune System Nasution, Riven; Garside, Annisa Kesy; Utama, Dana Marsetiya
Jurnal Teknik Industri Vol 18, No 1 (2017): Februari
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (480.421 KB) | DOI: 10.22219/JTIUMM.Vol18.No1.29-42

Abstract

Production scheduling is an important activity in manufacturing. Optimal scheduling affects the time of completion of the work. PT. Interpack is a company that produces packaging machines. The job schedule of the product spare part still uses the random priority rules. Use of random rules makes a lot of time delay. Delay causes operator and machine idle. Delay also causes the total time of completion of the work (makespan) and delay the greater.  So it needs to be rescheduled to work on the spare part of product. Job scheduling using the Artificial Immune System (AIS) algorithm. AIS was developed by Farmer et al. The AIS algorithm refers to the human immune system. The stages of the AIS algorithm begin with random initialization, antibody representation and gene classification, clone breeding, selection of donor antibodies, germ-line construction, gene fragment redesign, and ending with diversification of antibodies. AIS algorithm scheduling resulted in a more optimal new schedule. AIS algorithm scheduling generates a future of 6483.91 minutes. Company scheduling generates makespan of 7059.99 minutes. AIS Schedule finishes algorithm 4 days of the due date. AIS algorithm schedule increase machine utility by 1%.
The Capacitated Sustainable EOQ Models: Models Considering Tax Emissions Maulana, Sri Kurnia Dwi Budi; Utama, Dana Marsetiya; Asrofi, Mochammad Samsul; Ningrum, Inggit Sekar; Alba, Nidaul; Ahfa, Hikam Antasyard; Zein, Thoriq Akbar
Jurnal Teknik Industri Vol 21, No 1 (2020): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.156 KB) | DOI: 10.22219/JTIUMM.Vol21.No1.12-21

Abstract

The study investigated problems of determining the lot size by considering sustainability and capital constraints for purchasing raw materials and taxes. By using the Sustainable EOQ (SEOQ) models that considered environmental aspects, the researchers also evaluated the capital constraints. The proposed models were used to minimize total inventory costs. In this study, there was a practical numerical analysis and sensitivity analysis to help decision-makers and policies on inventory problems. Finally, the experimental results showed that the proposed models were effectively used to solve the problems.
Analisis Model Sustainable Economic Order Quantity Dengan Mempertimbangkan Emisi Karbon Dan Batasan Kapasitas Gudang Untuk Menekan Total Biaya Persediaan Widodo, Dian Setiya; Utama, Dana Marsetiya
TEKNIK Vol 40, No. 3 (2019): Desember 2019
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (352.927 KB) | DOI: 10.14710/teknik.v40i3.24508

Abstract

Model Economic Order Quantity (EOQ) merupakan salah satu model persediaan dasar dalam rantai pasok. Model EOQ menawarkan pendekatan matematis untuk menentukan jumlah optimal produk yang harus dipesan oleh perusahaan ke supplier. Penelitian ini menganalisa model sutainable EOQ dengan mempertimbangkan emisi karbon dan batasan kapasitas gudang untuk meminimalkan total biaya persediaan. Percobaan numerik dan analisa sensitivitas dilakukan terhadap model EOQ usulan menggunakan metode lagrange. Terdapat dua model yang diusulkan untuk menyelesaikan permasalahan. Model pertama adalah model EOQ dengan mempertimbangkan karbon emisi dan model kedua adalah model EOQ dengan mempertimbangkan karbon emisi  dan batasan gudang. Hasil penelitian menunjukkan bahwa model sustainable EOQ dengan mempertimbangkan emisi karbon dan batasan kapasitas gudang adalah efektif untuk menyelesaikan permasalahan penentuan jumlah optimal yang harus dipesan oleh perusahaan sehingga menekan total biaya persediaan
Co-Authors Abiddin, Moh Zainal Ahfa, Hikam Antasyard Ahmad Rusdiansyah Alba, Nidaul Anindya Apritha Putri Annisa Kesy Garside Asrofi, Mochammad Samsul Ayu An Putri Salima Azis Fredy Mulya Bahru Widjonarko Baiq Nurul Izzah Farida Bianca Maharani Boer, Meidina Kalse Cantika Febrita Cynthia Novel Al-Imron D Farista Dewi Maharani Dian Setiya Widodo Dimas Caesario Pradikta Dwi Pramudia Wardani Farida Nur Kumala Fathiha Raudhatul Jannah FERRY YULIANTO FERRY YULIANTO, FERRY Halifah, Syukron Taufiqurrohman Heri Mujayin Kholik Hikam Antasyard Ahfa Husen, Moh. Ikhlasul Amallynda Ilyas Masudin Ilyas Mas’udin Imam Santoso Inggit Sekar Ningrum Leo Rizki Ardiansyah M. Faisal Ibrahim M.M Putri Mardhiyyah, Yunita Siti Mas’udin, Ilyas Maulana, Sri Kurnia Dwi Budi Meidina Kalse Boer Meiliza Dresanala Mochammad Samsul Asrofi Moh Zainal Abiddin Moh. Husen Muhammad Aghniya Baihaqi Muhammad Faisal Ibrahim Muhammad Faisal Ibrahim Muhammad Faisal Ibrahim, Muhammad Faisal Nasution, Riven Nidaul Alba Ningrum, Inggit Sekar Pradikta, Dimas Caesario Rahmat Wisnu Wardana Ricca Andhini Octaria Riven Nasution Rizal Dian Azmi Selvia Rubiyanti Shanty Kusuma Dewi Shanty Kusuma Dewi Shanty Kusuma Dewi, Shanty Kusuma Sri Kurnia Dwi Budi Maulana Syukron Taufiqurrohman Halifah Teguh Baroto Teguh Baroto Thoriq Akbar Zein Ulfa Fitriani Ulfa Fitriani Veronika Indah Mawarti Veronika Indah Mawarti, Veronika Indah Wa Ode Nadhilah Safitri Wahyu Wicaksono Wardani, Dwi Pramudia Widodo, Dian Setiya Wike A. P. Dania Yasa, Arnelia Dwi Yusuf Hendrawan Zein, Thoriq Akbar