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<![CDATA[MODEL PROGRAM DINAMIS UNTUK LOT SIZE MULTI ITEM DENGAN KENDALA KAPASITAS GUDANG ]]>
<![CDATA[Utama, Dana Marsetiya]]>
<![CDATA[ J@ti Undip : Jurnal Teknik Industri Vol 14, No 1 (2019): Januari 2019 ]]>
Publisher : <![CDATA[Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro ]]>
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DOI: 10.14710/jati.14.1.21-26
<![CDATA[Persediaan bahan baku merupakan aktifitas yang penting dalam proses produksi. Pada makalah ini, model mempertimbangkan kuantitas dan periode pemesanan. Dalam model ini, pembeli tunggal membeli beberapa bahan baku dari satu pemasok. Permintaan bahan baku bersifat deterministik dan bervariasi untuk periode waktu. Selain itu, biaya pesan dan biaya simpan untuk periode perencanaan adalah tetap. Kami telah mengembangkan model pemrograman dinamis untuk mengatasi masalah ini. Model pemrograman dinamis ini dikembangkan dari algoritma Wagner-Whitin. Model program dinamis yang diusulkan mempertimbangkan multi item dan kendala kapasitas gudang. Untuk menguji performa dari model, peneliti melakukan beberapa percobaan numerik. Hasil percobaan numerik model pemrograman dinamis usulan menunjukan total biaya persediaan lebih optimal dibandingkan dengan metode EOQ. Hasil percobaan ini menunjukkan model usulan efektif minimasi total biaya persediaan. AbstractInventory of raw materials is an essential activity in the production process. In this paper, the model considers the quantity and order period. In this model, a single buyer buys several raw materials from one supplier. The demand for raw materials is deterministic and varies for a period of time. Besides, the message costs and save costs for the planning period are fixed. We have developed dynamic programming models to overcome this problem. This dynamic programming model was developed from the Wagner-Whitin algorithm. The proposed dynamic program model considers multi items and warehouse capacity constraints. To test the performance of the model, researchers conducted some numerical experiments. The numerical experimental results of the dynamic programming model suggest that the total inventory cost is more optimal compared to the EOQ method. The results of this experiment indicate the proposed model effectively minimizes the total cost of inventory.Keywords: Multi Item; Inventory; Wagner Whitin; Warehouse Constraints; Dynamic Programming]]>
<![CDATA[MODEL ECONOMIC PRODUCTION QUANTITY DENGAN REWORK PROCESS DAN BATASAN GUDANG ]]>
<![CDATA[Utama, Dana Marsetiya]]>;
<![CDATA[Wardani, Dwi Pramudia]]>;
<![CDATA[Halifah, Syukron Taufiqurrohman]]>;
<![CDATA[Pradikta, Dimas Caesario]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol 3, No 1 (2019) ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v3i1.1017
<![CDATA[Rework products and warehouse capacity are common problems experienced by companies in the production process. Several Economic Production Quantity (EPQ) models were developed to minimize the costs of purchasing raw materials. This study aims to develop an Economic Production Quantity (EPQ) model with rework processes and warehouse constraints, assuming that the product is not perfect and can rework. The proposed model considers several cost components, including setup, holding, production, rework, and warehouse. The two proposed models are EPQ models with reworks and warehouse costs, and EPQ models with reworks and warehouse constraints. Based on several tests conducted, it obtains that the increase in the value of the maximum inventory amount did not have an impact on the production costs and the cost of the rework process. Based on several numerical experiments, the total cost of the rework process and production costs do not change to the maximum inventory value.]]>
<![CDATA[Pemilihan Strategi Pemasaran Dengan Metode SWOT Dan TOPSIS ]]>
<![CDATA[Abiddin, Moh Zainal]]>;
<![CDATA[Mas’udin, Ilyas]]>;
<![CDATA[Utama, Dana Marsetiya]]>
<![CDATA[ Jurnal Teknik Industri Vol 18, No 1 (2017): Februari ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
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DOI: 10.22219/JTIUMM.Vol18.No1.55-67
<![CDATA[Marketing is an important activity of the company. The main purpose of company marketing is to increase profit. CV X is a trading company. The company’s problem is the stable product sales. Companies must determine the right marketing strategy. This study uses SWOT analysis to identify factors and formulate appropriate marketing strategies. The TOPSIS method is used to rank alternative marketing strategies. TOPSIS ranking show best and ideal strategy. Based on SWOT analysis are four marketing strategies alternative. the first priority marketing strategy is to expand the product marketing distribution network with a preference value of 0.497962. The second priority marketing strategy is to focus on one of the NPK variants with a preference value of 0.488088. The priority marketing strategy of three is to improve the quality service with a preference value of 0.465217. And four priority marketing strategy is the use of marketing strategy with the value of preference 0.462249.]]>
<![CDATA[An Effective Hybrid Sine Cosine Algorithm to Minimize Carbon Emission on Flow-shop Scheduling Sequence Dependent Setup ]]>
<![CDATA[Marsetiya Utama, Dana]]>
<![CDATA[ Jurnal Teknik Industri Vol 20, No 1 (2019): February ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
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DOI: 10.22219/JTIUMM.Vol20.No1.62-72
<![CDATA[Recently, carbon emissions have become a major environmental problem. In the industrial sector, carbon emissions account for half of the world's total carbon emissions. This article discusses the issue of scheduling Flow Shop Sequence Dependent Setup (FSSDS). It aims to minimize carbon emissions. The algorithm proposed is the Hybrid Sine Cosine Algorithm (HSCA) to solve FSSDS problems to reduce carbon emissions. We offered one of some search agents in the SCA use NEH. The algorithm is used for some test different jobs and machines. Several experiments were carried out to test the parameters and effectiveness of the algorithm. The parameters used in the trial are population and iteration. As a result, several parameters were proposed to HSCA to minimize carbon emissions. In the effectiveness test, the HSCA showed better performance compared to the simulated annealing and cross-entropy algorithm.]]>
<![CDATA[ENERGY-EFFICIENT FLOW SHOP SCHEDULING USING HYBRID GRASSHOPPER ALGORITHM OPTIMIZATION ]]>
<![CDATA[Utama, Dana Marsetiya]]>;
<![CDATA[Baroto, Teguh]]>;
<![CDATA[Widodo, Dian Setiya]]>
<![CDATA[ Jurnal Ilmiah Teknik Industri Vol. 19, No. 1, June 2020 ]]>
Publisher : <![CDATA[Muhammadiyah University Press ]]>
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DOI: 10.23917/jiti.v19i1.10079
<![CDATA[Manufacturing companies have a significant impact on environmental damage, and energy consumption in manufacturing companies is a widespread issue because the energy used is derived from fossil fuels. This research aims to minimize energy consumption using develop Hybrid Grasshopper Algorithm Optimization (HGAO). The focus of the issue in this article is the Permutation Flow Shop Scheduling Problem (PFSSP). A case study was conducted in offset printing firms. The results showed that the HGAO algorithm is capable of reducing energy consumption in offset printing firms. The higher the population of search agents and iterations produces less energy consumption. The HGAO algorithm is also compared with the genetic algorithm (GA). The results show that HGAO is more efficient in reducing energy consumption than GA.]]>
<![CDATA[A Three-Phased Perishable Inventory Simulation Model with Quality Decrease Consideration ]]>
<![CDATA[Ibrahim, Muhammad Faisal]]>;
<![CDATA[Mardhiyyah, Yunita Siti]]>;
<![CDATA[Rusdiansyah, Ahmad]]>;
<![CDATA[Boer, Meidina Kalse]]>;
<![CDATA[Utama, Dana Marsetiya]]>
<![CDATA[ Jurnal Ilmiah Teknik Industri Vol. 19, No. 02, December 2020 ]]>
Publisher : <![CDATA[Department of Industrial Engineering Universitas Muhammadiyah Surakarta ]]>
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DOI: 10.23917/jiti.v19i2.11769
<![CDATA[In this article, focus on the simulation of a three-phase perishable product inventory system of a SMEs selling fresh and processed milkfish. This research was conducted to simulate a perishable product inventory system to understand and analyze the problems that occur then propose solutions to fix them. The simulation model was developed with ARENA software, simulation results of the existing condition show that there is 162 kg/month waste in fresh fish, 158 pcs/month in processed product A, and 86 pcs/month in processed product B. A model with a product renewal process mechanism was proposed to overcome this problem, and seven improvement scenarios were developed. The results obtained from the seventh improvement scenario revealed that there was a 100% reduction in fresh fish and processed product B and 94% in processed product A. Besides, there was a saving in need for fresh fish supply of 10 kg/day. In this article, we show how ARENA software can be adopted to simulate inventory system problems effectively. The method in this research can be applied to investigate various supply system scenarios and their consequences before implementing it in a real system.]]>
<![CDATA[Model Economic Production Quantity dengan Rework Process dan Batasan Gudang ]]>
<![CDATA[Dana Marsetiya Utama]]>;
<![CDATA[Dwi Pramudia Wardani]]>;
<![CDATA[Syukron Taufiqurrohman Halifah]]>;
<![CDATA[Dimas Caesario Pradikta]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 3 No. 1 (2019) ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v3i1.1017
<![CDATA[Rework products and warehouse capacity are common problems experienced by companies in the production process. Several Economic Production Quantity (EPQ) models were developed to minimize the costs of purchasing raw materials. This study aims to develop an Economic Production Quantity (EPQ) model with rework processes and warehouse constraints, assuming that the product is not perfect and can rework. The proposed model considers several cost components, including setup, holding, production, rework, and warehouse. The two proposed models are EPQ models with reworks and warehouse costs, and EPQ models with reworks and warehouse constraints. Based on several tests conducted, it obtains that the increase in the value of the maximum inventory amount did not have an impact on the production costs and the cost of the rework process. Based on several numerical experiments, the total cost of the rework process and production costs do not change to the maximum inventory value.]]>
<![CDATA[PENGGUNAAN SAW UNTUK ANALISIS PROSES PEREBUSAN KEDELAI DALAM PRODUKSI TEMPE ]]>
<![CDATA[Dana Marsetiya Utama]]>;
<![CDATA[Teguh Baroto]]>
<![CDATA[ AGROINTEK Vol 12, No 2 (2018) ]]>
Publisher : <![CDATA[Agroindustrial Technology, University of Trunojoyo Madura ]]>
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DOI: 10.21107/agrointek.v12i2.4025
<![CDATA[This article describes assessment organoleptic quality in boiling process soybean at production tempe. we proposed the model for selecting boiling process soybean based on quality organoleptic. We used pairwise comparison and SAW the problem. Pairwise comparison used to determine to weigh for organoleptic criteria. SAW used for selecting boiling process alternative. the result of proposed pairwise comparison and SAW model showed this model effective for assessment organoleptic quality in boiling process soybean at production tempe.]]>
<![CDATA[Penjadwalan Flow Shop untuk Meminimasi Total Tardiness Menggunakan Algoritma Cross Entropy–Algoritma Genetika ]]>
<![CDATA[Dana Marsetiya Utama]]>;
<![CDATA[Leo Rizki Ardiansyah]]>;
<![CDATA[Annisa Kesy Garside]]>
<![CDATA[ Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published in October 2019 ]]>
Publisher : <![CDATA[The Industrial Engineering Department of Engineering Faculty at Universitas Andalas ]]>
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DOI: 10.25077/josi.v18.n2.p133-141.2019
<![CDATA[Flow shop scheduling problems much studied by several researchers. One problem with scheduling is the tardiness. Total tardiness is the performance to minimize tardiness jobs. it is the right performance if there is a due date. This study proposes the Cross-Entropy Genetic Algorithm (CEGA) method to minimize the mean tardiness in the flow shop problem. In some literature, the CEGA algorithm is used in the case of minimizing the makespan. However, CEGA not used in the case of minimizing total tardiness. CEGA algorithm is a combination of the Cross-Entropy Algorithm which has a function to provide optimal sampling distribution and Genetic Algorithms that have functions to get new solutions. In some numeric experiments, the proposed algorithm provides better performance than some algorithms. For computing time, it is affected by the number of iterations. The higher the iteration, computing requires high time.]]>
<![CDATA[A Hybrid Model for Green Supplier Selection and Order Allocation: DEMATEL, ANP, and Multi-criteria Goal Programming Approach ]]>
<![CDATA[Dana Marsetiya Utama]]>;
<![CDATA[Anindya Apritha Putri]]>;
<![CDATA[Ikhlasul Amallynda]]>
<![CDATA[ Jurnal Optimasi Sistem Industri Vol. 20 No. 2 (2021): Published in November 2021 ]]>
Publisher : <![CDATA[The Industrial Engineering Department of Engineering Faculty at Universitas Andalas ]]>
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DOI: 10.25077/josi.v20.n2.p147-155.2021
<![CDATA[Increased competition in the industrial world forces companies to increase their competitiveness through Green Supply Chain Management (GSCM). The key to the success of GSCM is the selection of suppliers and the allocation of the proper order by taking into account environmental aspects. This decision involves several criteria and must also pay attention to the relationship between criteria. This study proposes a hybrid procedure to solve Green Supplier Selection and Order Allocation (GSSOA). The integration of Decision Making Trial and Evaluation Laboratory (DEMATEL), Analytic Network Process (ANP), and Multi-Criteria Goal Programming (MCGP) are proposed to solve this problem. The DEMATEL is used to calculate the relationship between criteria. Furthermore, the ANP is proposed to determine the weight of the criteria and supplier ranking. Finally, the MCGP method is offered for allocating orders based on priority suppliers. A case study on the food industry in Malang, Indonesia, was conducted to apply this procedure. The results showed that the low defects rate criterion is the most important compared to other criteria. The best supplier was successfully selected, and the order allocation was completed. Order allocation priority is to suppliers D, C, A, and B. This study also presents a sensitivity analysis for order allocation.]]>
