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Implementasi Lean Manufacturing Guna Meningkatkan Efisiensi pada Devisi Manufacturing Departemen Mold di PT. Manufaktur Mold Muhammat Junaidi; Rina Sandora; Budianto .
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 1 No 1 (2017): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Dewasa ini perkembangan industri manufaktur berkembang begitu pesat. Perusahaan dituntutmeningkatkan hasil produksi dari segi kualitas, kuantitas, serta memiliki harga yang bersaing. Padapenelitian ini studi kasus dilakukan di divisi Manufacturing departemen Mold PT. Manufaktur Moldyang memproduksi mold dari berbagai jenis produk. Data yang digunakan pada penelitian iniadalah data produksi mold produk Baby Bear 200 ml. Masalah yang sering muncul pada prosesproduksi di divisi Manufacturing departemen Mold adalah timbulnya waste seperti keterlambtanpenyelesaian produk dan adanya defect pada produk yang dihasilkan. Penelitian ini bertujuan untukmengetahui nilai efektifitas pada proses produksi mold dengan metode OEE. Mengetahui wasteyang paling berpengaruh terhadap efisiensi dengan menggunakan metode FMEA dan RCA untukmengetahui akar penyebab terjadinya waste tersebut. Menentukan alternatif kebijakan perbaikandan menentukan prioritas kebijakan yang optimum dengan menggunakan AHP. Berdasarkan hasilpengolahan data dengan menggunakan metode OEE diperoleh rata-rata nilai OEE sebesar68,219%. Waste yang paling mempengaruhi efisiensi adalah waiting, defects, dan unnecessarymotion. Berdasarkan waste yang paling berpengaruh diusulkan 5 alternatif kebijakan perbaikanyaitu A1, A2, A3, A4, dan A5. Dari hasil analisa dengan menggunakan metode AHP diperoleh nilaiperforma yang paling tinggi yaitu A5 dengan nilai 4,39. Urutan prioritas alternatif kebijakan yangoptimum yaitu A5 sebagai alternatif yang paling diprioritaskan kemudian A1, A2, A3, dan A4.
Estimasi Harga Pokok Produksi Roll Gilingan Dengan Metode Job Order Costing Dalam Penentuan Harga Jual (Studi Kasus Pada Perusahaan Manufaktur Khususnya Workshop 4) Regita Palupi; Rina Sandora; RA. Norromadani Yuniati
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 2 No 1 (2018): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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The manufacturing company located in Gresik is one of the companies that produce roll mill. Roll mill is a sugar plant equipment used for squeezing cane. In the calculation of cost of goods manufactured, the company does not include fixed overhead costs into the calculation of the cost of production. The calculation will be more accurate and detailed if the company uses job order costing method of full costing approach. The full costing approach calculates direct raw materials, direct labor, factory overhead costs, both variable and fixed. One example is PG.Pagotan orders where the results using JOC with full costing approach is Rp466.687.630,- for cost of goods manufactured, Rp93.337526,- for profit and Rp616.027.672,- for sale price. While the result set by the company is Rp438.625.790,- for the cost of goods manufactured, Rp87.725.158,- for profit and Rp578.986.000,- for the sale price. The result using JOC with full costing approach is greater than that of the firm of this difference due to differences in the way grouping and incremental costs are incorporated into cost of goods manufactured calculations using the full cost JOC method. Cost of goods manufactured calculated on the basis of the company is undercosting. The test results of 22 orders with the t test get the value of Sig. (2-tailed) = 0.00 <0.05 so it shows a significant difference between the value of cost of goods manufactured, the profit and the selling price set by the company with the value using the JOC approach full method costing.
Analisa Penentuan Harga Pokok Produksi Pada Fabrikasi Skid Winch System dengan Metode Job Order Costing (Studi Kasus Pada Perusahaan Manufaktur dan Konstruksi) Rinda Fitriana; Rina Sandora; RA Norromadani Yuniati
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 2 No 1 (2018): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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One of the company that growing is company that focus in fabrication and construction. Inthese company consist of some division, one of division is production division. At this time thecompany is producing skid winch system. In determining the calculation of cost of good sold of thecompany experiencing mismatch budget plan costs and cause the company does not get the maximumprofit. In determining of the cost of good sold based on the right and accurate order appropriate tothe working system in the company is job order costing method. The method can calculate allclassification cost, there are direct and indirect costs. the classification is charged to the orderedproduct. Based on the results of the research cost of good sold of 1 unit skid winch system based onjob order costing method is Rp. 37.564.984, - and the selling price is Rp. 51.651.853, -.and the Profitis Rp. 9.391.246, -. the calculation using job order costing method with company calculation there iscost difference, cost of good sold equal to Rp. 5.665.388,- and the calculation of selling price Rp.16.551.298,-. This is because the company in the determination of the cost of good sold and theselling price does not classify all components of the cost in detail so the result that got by thecompany are less accurate and less maximum profit.
Perencanaan Jadwal Induk Produksi pada Produk Nas Shoes dengan Menggunakan Metode Perencanaan Agregat di Perusahaan Furniture Anisya Kusumaningrum; Renanda Nia Rachmadita; Rina Sandora
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 2 No 1 (2018): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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In furniture companies in general, which produces a variety of products including nasshoes, tenma, fukai, woodone . Nowadays the company is faced with the problem of congestion on a kind of product and experiencing deficiencies in other products because this furniture companies using production scheduling based on experience demand in the previous period. To solve this problem the company needs to establish a good Master Production Planning to balance production capacity with its own resources so as to achieve minimal cost. The purpose of this study is to determine the appropriate aggregate planning so as to obtain the optimal cost. In this study used Aggregate Planning Methods to achieve optimal production cost. First steps to make the master production schedule is calculation of forecasting using linear regression, moving average, and exponential smooting and then calculation of production cost with three aggregat planning methods of transportation method, permanent labor method and trial and error method. From the calculation master production planning using aggregate planning method with three alternative that is transportation, permanent labor and last trial and error, so that obtained optimal result there is at alternative transportation with production cost as $120.892,10 and the reduction cost as big as $137,90 and total production equal to 2626 units for 6 month.
Desain Proses Produksi Survival Knife dengan Metode Operation Process Chart di Perusahaan Manufaktur Amelia Laksmi; Renanda Nia Rachmadita; Rina Sandora
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 2 No 1 (2018): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Manufacturing Company is one of the manufacturing industry in Surabaya focusing onengineering field, in producing machinary. One institution give a challenge to this company toproduce 10.000 pcs Survival Knives. Complex technique and limited machinary make it difficult forthis Manufacturing Company in Designing Production Process. Cycle time production, quantities andcost of production are considered in Designing Production Process. Operation Process Chart help usto visualize flow production process from raw material until finished good product. Production timecould see with Bar Chart Method its about 48 days left with paralel process. Researcher makes twoalternative concepts of designing production process. Concept selection is done trough two ways.First, based on the most point and second with Matrix Pugh Concept Selection. The result of thisresearch shows that “Designing Production Process Concept 2” is choosen because it has moreaverage quantity about 56 pcsand cost o production is lower than “Designing Production ProcessConcept 1” its about Rp.1.554.581.900,-. Concept 2 is better in cycle time production about 12 daysmore than concept 1
Upaya Perbaikan Kualitas Menggunakan Metode Six Sigma untuk Mengurangi Jumlah Cacat Produk Head Travel Kit pada PT. Berlina Tbk Diajeng Rizky Amelia; Rina Sandora; Farizi Rachman
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 4 No 1 (2020): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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In packaging industries, PT. Berlina is enganged in the production of plastic packaging, especially in injection moulding departement based on September 2019 data, there is a product that has the largest percentage of defects namely head travel kit (9.1%). Bubble defect is the most dominant problem among other disability categories with a percentage of 57.9%. This study aims to know and identify the factors that cause bubble defect and determine alternative improvement policies that can reduce the rate of occurance of bubble defects of head travel kit product to implement. The method use in this study is Six Sigma which includes five stages of analysis, namely DMAIC (Define, Measure, Analyze, Improve, and Control). Each stage of DMAIC is done by carefully analyzing and maintaining the process. The results of this study indicate that the factors causing bubble analyzed by FTA are speed injection parameters exorbitant, plastizing process less precise, back pressure parameter too low, and ventilation syste, less precise. There are plan of improvement effort that is varying the speed injection parameter, extend the holding time parameter, extend the back pressure parameter, and cleaning the venting area. While the effort improvement that has be done is verying the speed injection parameter with a range of 15 mm/s untul 25 mm/s and extend the holding time parameter to 6 secon.The result of effort improvement are showed the decrease of defects percentage between before and after improvement that is from 26 % to 10 % and obtained 3,145 sigma, it means more and better than from previous sigma value, it is 2,849 sigma.
Optimasi Penjadwalan Produksi Injection Mould Base Frypan Handle Menggunakan Metode Algoritma Genetika Fitri Annisa; Rina Sandora; Thina Ardliana
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 5 No 1 (2021): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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Abstract - Scheduling is an important aspect in the company to manage the length of production process time so as not to experience delays. Moulding Company is a manufacturing industry company with a production flow of job shop. The company's scheduling system on the manufacture of Injection Mould Base Frypan Handle is delayed where there is a non-achievable duration between actual production and planned production, to be able to obtain a solution to this problem, the proposed method, namely the Genetic Algorithm. The Genetic Algorithm method was chosen because this method does not have special criteria found in other heuristic algorithms, so the computation time is relatively shorter. Calculations on the Genetic Algorithm method using Microsoft Excel and MATLAB R2016a media. The calculation of the Genetic Algorithm method produces the optimal job operation flow, namely : 6-17-7-21-15-24-23-14-1-8-10-22-18-11-20-2-13-16-5-19-4-12-9-3. In addition, costs of Genetic Algorithm method decreased by 44% or Rp. 3,401,891, - more economical than company scheduling.
IDENTIFIKASI WASTE PADA PROSES PRODUKSI MOULD INHALER BARREL MENGGUNAKAN METODE LEAN SIX SIGMA PADA DIVISI MANUFACTURING PT BERLINA TBK Ceke Dwi Octa S.P.; Endang Pudji P.; Rina Sandora
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 4 No 1 (2020): Conference on Design and Manufacture and Its Aplication
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Keterlambatan adalah suatu permasalahan yang sering terjadi di dunia industri. Keterlambatan yang dimaksud dalam hal ini yaitu keterlambatan terselesaikannya suatu proses produksi sesuai dengan tanggal deadline yang telah ditentukan dan disepakati kedua belah pihak. Dalam penelitian ini metode yang digunakan untuk mengatasi masalah keterlambatan yaitu Metode Lean Six Sigma. Tujuan dari penelitian ini yaitu mengatasi masalah keterlambatan dengan mengidentifikasi serta menganalisa jenis – jenis pemborosan atau waste yang terjadi selama proses produksi berlangsung. Adapun yang akan dijadikan objek penelitian ini adalah mould inhaler barrel. Output yang akan dihasilkan dari penelitian ini yaitu dengan memberikan usulan perbaikan terhadap perusahaan sebagai pertimbangan dalam menentukan kebijakan untuk mengatasi permasalahan yang berkaitan dengan keterlambatan yang terjadi pada saat proses produksi berlangsung. Dari hasil penelitan yang dilakukan dengan menggunakan beberapa cara untuk mengidentifikasi waste didapatkan hasil bahwa waste waiting adalah waste kritis dalam proses produksi mould inhaler barrel. Dibuktikan dengan hasil pembuatan diagram VSM yang diketahui terdapat kegiatan menunggu sebelum ke proses Milling, kemudian dengan pengelompokkan VA dan NVA didapatkan hasil NVA sebesar 27,24% dengan total waktu sebanyak 947,13 menit dalam satu kali proses produksi sedangkan dalam metode pembobotan kuesioner diketahui yang menjadi peringkat pertama yaitu waste waiting. Dengan menggunakan metode fishbone diagram didapatkan 5 faktor penyebab terjadinya waste waiting yaitu faktor manusia, faktor metode kerja, faktor mesin, faktor bahan baku, dan faktor lingkungan kerja. Usulan perbaikan yang didapatkan dari penelitian ini salah satunya membuat kontrak kerja mengenai keterlambatan pengiriman raw material ke perusahaan dari suplier, menjadi usulan perbaikan yang berdasarkan perhitungan peringkat RPN merupakan permasalahan yang harus segera dilakukan perbaikan.
Optimalisasi dan Penyelesaian Job Shop Scheduling Problem dengan Metode Algoritma Genetik (Studi Kasus Injection Mould Base Tumbler Upper Cap di PT. Berlina Tbk Pandaan, Pasuruan) Niko Aditya; Rina Sandora; Endang Pudji Purwanti
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 4 No 1 (2020): Conference on Design and Manufacture and Its Aplication
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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PT. Berlina Tbk Pandaan is a plastic packaging and mold maker company with a make to order production system especially at the Mold Shop Department with job shop production flow. From the scheduling system, production delays often occur. Injection Mold Base for Tumbler Upper Cap products was chosen as the object of research with a delay of 7 weeks. The purpose of this study is to determine the sequence of job operations flow by minimizing tardiness and makespan using the Genetic Algorithm method so as to produce optimum scheduling. The analysis of this study involved 37 jobs with 24 different machines. Calculations on the Genetic Algorithm method using Microsoft Excel and MATLAB R2012b media. From the calculation of the Genetic Algorithm method produces tardiness value of 0 hours, makespan 134.125 hours, and the highest fitness value of 2.3126. While scheduling the company produces a value of tardiness of 589.8750 hours and makespan of 195.125 hours. Then this method is able to minimize 100% tardiness and 31% makespan of company scheduling. While the operating flow of the resulting job is: 25-14-11-26-6-18-23-36-31-5-4-1-13-33- 8-35-32-12-34-7-3- 28-17-15-29-2-22-27-9-30-19-21-37-16-24-20-10.
Analisis Penjadwalan Proyek Dengan Penambahan Manpower dan Over Time Menggunakan Metode Time Cost Trade Off Sri Puji Lestari; Widya Emilia Primaningtyas; Rina Sandora
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 7 No 1 (2023): Conference On Design And Manufacture Its Application
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

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A construction company in Karangpilang received a Pressure Vessel project. This project is delayed from the predetermined date so that a fine of 0.2% is imposed every day. So it is necessary to analyze project scheduling in order to get the maximum time and cost in this project. The methods used in this research are Time Cost Trade Off (TCTO), Precedence Diagram Method (PDM) and crashing. Acceleration is carried out on critical trajectories namely Marking/Catting, Rolling, Fit-Up, Welding, NDT, Primary Blasting and Top Coat. This study uses alternatives to increase over time and additional manpower. In this study, the maximum time and cost results were obtained with an alternative of 25% additional manpower. The resulting accelerated duration is 51 days faster than the actual duration, with costs incurred of Rp. 199,616,473, -, resulting in a decrease of 70% from the actual duration cost of Rp. 286,961,745, -. S curve analysis shows that the accelerated duration can be completed faster than the actual duration because the project can be completed on December 27, 2021. Where the accelerated duration is closer to the planned duration, namely November 26, 2021.