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Sugeng Santoso
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Departement Industrial Engineering University of Muhammadiyah Malang Jl. Tlogomas No 246 Malang
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INDONESIA
Jurnal Teknik Industri
Published by Universitas Muhammadiyah Malang
ISSN : 19781431     EISSN : 25274112     DOI : -
Core Subject : Economy, Science, Engineering,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering
Dr. Saiful Anwar Malang is a state hospital has done it is job and function, but in 3rd class of pavilion room, the number of patient decrease dramatically. It is concerned with quality of this hospital. To answer this problem, research was done using Quality Function Deployment (QFD). Quality Function Deployment is a tool which design some needs include customers represented as a voice of customer and including some competitions and also groups some activities that usually called affinity graphic ang getting a benchmarking for it is competition. From the result analysis can be showed that main attribute for patience is a accuracy. And from House Of Quality can be found that getting a periodic meeting to evaluate this hospital and also increase a service can be made 20 concept
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Strategi dan Menejemen
Articles 706 Documents
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Location Selection of Battery Swap Station using Fuzzy MCDM Method: A Case Study in Indonesia Meilinda Maghfiroh; Chathumi Kavirathna
Jurnal Teknik Industri Vol. 24 No. 2 (2023): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol24.No2.81-94

Abstract

The rise of Electric Vehicles (EVs), supported by battery swap systems, brings various advantages, including reduced waiting times, lower upfront costs, and alleviating range anxiety. Battery Swap Stations (BSS) enhance green transportation by providing convenient options for EV users, especially in regions with limited fast-charging infrastructure. Many EVs, especially two-wheelers, need battery recharging after reaching their driving range. BSS availability can eliminate charging inconveniences for busy EV drivers. However, selecting BSS locations is often challenging due to budget constraints. This study aims to understand the criteria for selecting BSS locations in Indonesia. Potential location alternatives were identified using a fuzzy multi-criteria decision-making approach and input from government officials and industry experts. Factors like driving range, EV capacity, and budget availability were considered in determining the order of BSS establishment. The study found that technological and social aspects were the top criteria, suggesting that BSS development should prioritize established locations like mini markets and petrol stations.
Enhancing Company Productivity through Information Sharing in Supply Chain Implementation Ery Sugito; Elisa Kusrini
Jurnal Teknik Industri Vol. 24 No. 2 (2023): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol24.No2.109-126

Abstract

The lack of accuracy and slow information flow within the supply chain poses significant challenges to the sustainability of the manufacturing process. Effective information management is essential for enhancing supply chain competitiveness, encompassing increased product yield, improved product quality, cost reduction, and enhanced productivity for quicker product distribution. This research investigates the impact of information sharing on supply chain management to bolster company productivity. Additionally, it delves into the detrimental consequences of insufficient information sharing and offers solutions to ensure efficient information exchange within the organization. To achieve these research objectives, we employ a quantitative approach utilizing the Structural Equation Model (SEM)-Amos and six questionnaire variables: information sharing, information quality, information technology, supply chain management implementation, productivity, and customer satisfaction. Our findings underscore the adverse effects of limited information sharing on supply chain management performance, leading to reduced productivity. The enhancement of supply chain management hinges on effective and transparent information sharing, facilitated by disseminating clear and sustainable information throughout the company. Furthermore, ensuring employees understand supply chain management practices comprehensively is crucial. These measures are poised to contribute to increased productivity and the achievement of customer satisfaction goals.
Optimization Multi-Item Lot Sizing Model involve Transportation and Capacity Constraint under Stochastic Demand using Aquila Optimizer Dana Marsetiya Utama; Selvia Rubiyanti; Rahmat Wisnu Wardana
Jurnal Teknik Industri Vol. 24 No. 1 (2023): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol24.No1.31-50

Abstract

Inventory issues are often a major concern as they significantly impact operating costs. Lot sizing is one of the key decisions in managing inventory. However, in a real context, the demand for each item is often uncertain. It is supplied from the same supplier, requiring product orders to be placed in the same period. In addition, limited vehicle capacity and transportation costs are important factors to consider in making multi-item lot sizing decisions. The purpose of this study is to propose a new inventory model multi-item lot sizing model involving transportation cost and capacity constraints under stochastic demand. The decision variables involved in the model are each item's ordering cycle and safety factor with the objective function of minimizing the total inventory cost. To optimize the inventory model, this study also offers the advanced procedure of the Aquila Algorithm. This study also presents sensitivity analysis to the appropriate policy for optimizing the multi-item lot-sizing inventory problem involving transportation cost and capacity constraint under stochastic demand.
Sustainable Layout Design Based on Integrated Systematic Layout Planning and TOPSIS: A Case Study Meiliza Dresanala; Shanty Kusuma Dewi; Dana Marsetiya Utama
Jurnal Teknik Industri Vol. 24 No. 1 (2023): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol24.No1.51-64

Abstract

This research applies the concept of sustainable layout in the manufacturing industry by incorporating social, environmental, and economic aspects in the production process. The main objective of this research is to design a sustainable layout for the plastic packaging manufacturing industry. The approach utilizes the TOPSIS method to select an Activity Relation Chart (ARC) integrated with a systematic Layout Planning procedure. A case study is presented on an industry that produces plastic packaging in Indonesia. The results show that the proposed sustainable layout design significantly reduces the material handling distance compared to the initial layout. These results confirm that the Systematic Layout Planning approach and TOPSIS method have great potential in designing layouts that integrate sustainable principles effectively in manufacturing environments.
Sustainable Supplier Selection and Order allocation using Integrating AHP-TOPSIS and Goal Programming Thomy Eko Saputro; Zida Heilmalia Aqiel Melita Khusna; Shanty Kusuma Dewi
Jurnal Teknik Industri Vol. 24 No. 2 (2023): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol24.No2.141-156

Abstract

Increased awareness of environmental and social aspects has become an urgent global issue, especially in ensuring supply chain sustainability. In addition, optimizing sustainable supplier selection and order allocation is also crucial for companies to encourage sustainable industries. This research aims to determine the best potential sustainable suppliers and determine order allocation by considering economic, social, and environmental dimensions. This research proposes an approach that integrates AHP-Topsis and goal programming to solve the problem of sustainable supplier selection and order allocation. The AHP-Topsis procedure is proposed for weighting the criteria and sub-criteria of sustainable supplier selection. Meanwhile, Topsis is offered for supplier ranking. This study offers a goal programming procedure for order allocation. Order allocation is based on three goals: minimizing total procurement cost, maximizing total purchase value, and reducing carbon emissions. A case study is presented on the plastic bean processing industry in Indonesia involving three criteria (Economic, social, and environmental) and 17 sub-criteria. The analysis results show that economic criteria have the highest weight, followed by environmental and social criteria. Furthermore, the TOPSIS method selected the three best suppliers out of 5 alternative suppliers to receive order allocation. The order allocation process for three periods was carried out using the Goal Programming method on suppliers C, E, and A. This research contributes to improving supply chain sustainability. It provides practical guidance for companies in selecting suppliers and allocating orders efficiently.
A No-Idle Flow Shop Scheduling using Fire Hawk Optimizer to Minimize Energy Consumption Devisa Restiana Wati; Ikhlasul Amallynda
Jurnal Teknik Industri Vol. 24 No. 1 (2023): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol24.No1.65-80

Abstract

The current energy crisis is a pressing global challenge, with the industrial sector accounting for half of global energy consumption. Scheduling is considered one of the potential methods to reduce energy consumption. This article introduces the Fire Hawk Optimizer (FHO) algorithm to solve the no-idle flow shop scheduling problem to minimize overall energy consumption. FHO organizes the job sequence in no-idle flow shop scheduling for reduce energy consumption. This research investigates the use of different machine speed levels, namely slow, fast, and normal, based on case data of manufacturing industries in Indonesia. The results of this study compare the performance of the FHO algorithm with the Adaptive Integrated Greedy (AIG) heuristic method and compare it with the Grey Wolf Optimizer (GWO) algorithm. The experimental results showed that total energy consumption tends to be high when processed at high speed. Conversely, low-speed results in lower energy consumption but requires longer processing time. The comparison results show that the Fire Hawk Optimizer is more efficient in reducing total energy consumption than the AIG heuristic method. Meanwhile, the FHO algorithm performs comparably to the GWO algorithm and completes enumeration. These findings confirm that the proposed procedure can be an alternative to the scheduling optimization process.

Page 71 of 71 | Total Record : 706

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