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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 5 Documents
 1 
Search results for , issue "Vol. 24 No. 2 (2023): August" : 5 Documents clear
Evaluation of Sustainability Supply Chain Performance in the Food Industry: A Case Study Danang Kumara Hadi; Andika Putra Setiawan; Oppy Valencia Indrian; Erwin Fadilatur Rosyid
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.No2.95-108

Abstract

Evaluating sustainability in the food supply chain has multiple benefits, including reducing environmental impact, meeting regulations, satisfying consumer demands, improving efficiency, and enhancing business reputation. This paper outlines a Sustainability Supply Chain Management (SSCM) framework using the Analytic Hierarchy Process (AHP) to weigh Key Performance Indicators (KPIs). With 12 variables and 39 KPIs, the method involves data collection, performance measure selection, and analysis. KPIs with lower weight values highlight areas needing improvement, such as recycling costs, personnel expenses, sales responsiveness, eco-friendly labelling, distribution efficiency, green product development, recycled material usage, employee capabilities, product reputation, worker satisfaction, and stakeholder trust. Based on KPI weights, recommendations include prioritizing energy use in production and marketing, ensuring timely product delivery, maintaining product quality, streamlining production processes, focusing on energy efficiency, promoting eco-labelling, fostering eco-awareness, and advancing environmental technology.
Fuzzy TOPSIS for Post-Harvest Losses Drivers Evaluation in Fish Supply Chain: A Case Study Muhammad Faisal Ibrahim; Taufik Kurrahman; Prita Meilanitasari
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.No2.127-140

Abstract

Being highly susceptible to damage, fish result in significant post-harvest fish losses (PHFL) due to quality deterioration from inefficient harvesting and market dynamics. This study aims to identify the leading factors driving PHFL and construct a practical decision-making framework for the fisheries industry's development. Employing the fuzzy TOPSIS method, we scrutinized the critical causes of PHFL. Our literature review revealed four aspects and 13 operational processes contributing to PHFL across the supply chain. Among these processes, four drivers were the primary culprits: excessive fish capacity in shipping baskets, inadequate ice cooling during transportation to suppliers, insufficient ice cooling during supplier sorting, and the absence of appropriate tools for small retailers. To alleviate PHFL and enhance the fishery industry, priority should be given to addressing excessive fish capacity in shipping baskets, which poses a risk of physical damage during transit. Moreover, inadequate ice-cooling techniques, particularly in transportation and supplier sorting stages, raise public health and food safety concerns. Stakeholders must prioritize these critical factors for PHFL reduction.
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.
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.

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