International Journal of Industrial Optimization 2024-01-30T09:30:57+00:00 Hayati Mukti Asih Open Journal Systems <table class="data" width="100%" bgcolor="#f0f0f0"> <tbody> <tr valign="top"> <td width="30%">Journal title</td> <td width="70%"><strong>International Journal of Industrial Optimization</strong></td> </tr> <tr valign="top"> <td width="30%">Initials</td> <td width="70%"><strong>IJIO</strong></td> </tr> <tr valign="top"> <td width="30%">Abbreviation</td> <td width="70%"><em><strong><strong>Int. J. Ind. Optim.</strong></strong></em></td> </tr> <tr valign="top"> <td width="30%">Frequency</td> <td width="70%"><strong><a href="" target="_blank" rel="noopener">2 issues per year</a> | <a href="" target="_blank" rel="noopener">February and September</a></strong></td> </tr> <tr valign="top"> <td width="30%">DOI</td> <td width="70%"><strong>Prefix 10.12928</strong><strong> by <img src="" alt="" /></strong></td> </tr> <tr valign="top"> <td width="30%">ISSN</td> <td width="70%"><strong><a href="" target="_blank" rel="noopener">2714-6006</a> (printed)/<a title="e-ISSN" href="" target="_blank" rel="noopener">2723-3022</a> (online)</strong></td> </tr> <tr valign="top"> <td width="30%">Editor-in-chief</td> <td width="70%"><a href="" target="_blank" rel="noopener"><strong>Hayati Mukti Asih</strong></a></td> </tr> <tr valign="top"> <td width="30%">Publisher</td> <td width="70%"><a href=""><strong>Universitas Ahmad Dahlan</strong></a> i<strong>n collaboration with <a href=";pageName=ReportSection">BKSTI (Badan Kerjasama Penyelenggara Pendidikan Tinggi Teknik Industri)</a></strong></td> </tr> <tr valign="top"> <td width="30%">Citation Analysis</td> <td width="70%"><strong><a href=";user=gopOqDAAAAAJ" target="_blank" rel="noopener">Google Scholar</a>, <a href=";and_facet_source_title=jour.1387120">Dimension</a>, <a href=";lang=pl">ICI</a>, <a href="">Sinta</a>, <a href="">ProQuest</a>, <a href=";colors=7&amp;lang=en&amp;jour_id=484076">Ebsco</a>, <a href="">Scopus</a></strong></td> </tr> </tbody> </table> <hr /> <div style="text-align: justify;">The <strong>International Journal of Industrial Optimization</strong> (IJIO) is an international journal published by Universitas Ahmad Dahlan, Indonesia. This is an open-access and peer-reviewed journal which is published twice a year (<a href="" target="_blank" rel="noopener">2 issues/year</a>) in February and September. The first volume of IJIO was launched in February 2020. IJIO covers theoretical and empirical questions in industrial optimization. The span of coverage ranges from the basic implementation of production systems and simulation to advanced problems such as data mining and metaheuristics. Authors are encouraged to submit manuscripts that connect the gaps between research, development, and implementation.</div> <div style="text-align: justify;"> </div> <div style="text-align: justify;"> <div style="text-align: justify;"><strong>Before submission</strong>,<br />You have to make sure that your paper is prepared using the<a href=";ouid=116281130901150997990&amp;rtpof=true&amp;sd=true" target="_blank" rel="noopener"><strong> IJIO TEMPLATE </strong></a>and Carefully <strong><a href="" target="_blank" rel="noopener">read the submission guidelines</a>. </strong>Submit your paper <strong>ONLY in English. </strong>If you have problems with the journal, please contact us at <a href=""></a></div> </div> Sustainable waste solutions: Optimizing location-allocation of 3R waste management sites in Gondokusuman, Yogyakarta, Indonesia through multi-maximal covering location approach 2023-11-01T03:33:40+00:00 Achmad Chairdino Leuveano Puji Handayani Kasih Muhammad Ihsan Ridho Ahmad Rif’an Khoirul Lisan Muhammad Zeeshan Rafique Ariff Azly Muhamed <p>Developing a Multi-Maximal Covering Location Model (MMCLM) for waste management in Gondokusuman Sub-district, Yogyakarta, Indonesia, is urgently needed. The closure of the Piyungan landfill has resulted in the need for additional Reduce, Reuse, and Recycle Waste Management Sites (3R-WMSs) to reduce waste that the landfill cannot accommodate. The primary objective of this model is to optimize the location and allocation of demand volume nodes, representing the resident population, to a specific set of 3R-WMS. These demand nodes are located at different distances from 3R-WMSs, including high and low coverage areas. The research in the Gondokusuman Sub-district employed MMCLM with facility capacity constraints and was developed using mixed integer linear programming methodology. The study identified five optimal locations for a 3R-WMS establishment that comprehensively cover all demand nodes (15301) and population clusters (45903) in the sub-district, including both high (5085) and low coverage areas (10216). This research represents a significant step forward in developing a sustainable environment by ensuring easy access to reducing, reusing, and recycling-based waste management facilities for residents.</p> 2024-01-30T00:00:00+00:00 Copyright (c) 2024 Achmad Chairdino Leuveano, Puji Handayani Kasih, Muhammad Ihsan Ridho, Ahmad Rif’an Khoirul Lisan, Muhammad Zeeshan Rafique , Ariff Azly Muhamed Decision support system in determining the location of new supermarket branches using the copras method 2023-09-23T02:02:46+00:00 Siti Lathifah Tsaqila Sri Winiarti Ida Widaningrum <p>Supermarkets are one of the ideal and profitable retail business sectors to try because they are located in various urban and rural areas. This causes many people to be interested in setting up a supermarket. However, determining a strategic location is not easy and requires many strategic location considerations. The research objective is to develop a Decision Support System (DSS) to determine the location of new supermarket branches using the Complex Proportional Assessment (COPRAS) method, which is expected to be helpful for management and supermarket partners as a business strategy. The COPRAS method excels in calculating alternative utilities and selecting the best alternative. There are nine criteria (land rental price, distance to competitors, security, distance to education, warehouse distance, cleanliness, land area, building price, crowd) and five alternative locations (Juanda, Hos Cokroaminoto, Bayangkara, Batoro Katong, Sumoroto) are considered. This research created a web-based DSS that selects the best location for supermarket, with Juanda (A1) ranked first and scored 100, followed by Somoroto (location A5) with a score of 99.861, Bayangkara (A3) with a score of 97.099, Batoro Katong (A4) with a score of 91.293, and HOS Cokroaminoto (A2) with a score of 88.877. From the results of the COPRAS calculation, it can be concluded that Juanda is the best location to build a new supermarket branch location. This result provides a valuable tool for management and supermarket partners seeking to make informed decisions about branch expansion strategies.</p> 2024-01-30T00:00:00+00:00 Copyright (c) 2024 Siti Lathifah Tsaqila, Sri Winiarti , Ida Widaningrum Queuing analysis and optimization of public vehicle transport stations: A case of South West Ethiopia region vehicle stations 2023-05-09T04:43:39+00:00 Mequanint Birhan <p>Modern urban environments present a dynamically growing field where, notwithstanding shared goals, several mutually conflicting interests frequently collide. However, it has a big impact on the city's socioeconomic standing, waiting lines and queues are common occurrences. This results in extremely long lines for vehicles and people on incongruous routes, service coagulation, customer murmuring, unhappiness, complaints, and looking for other options, sometimes illegally. The root cause is corruption, which leads to traffic jams, stops and packs vehicles beyond their safe carrying capacity, and violates passengers' human rights and freedoms. This study focused on optimizing the time passengers had to wait in public vehicle stations. This applied research employed both data-gathering sources and mixed approaches. Then, 166 samples of key informants of transport stations were taken using the Slovin sampling formula. The time vehicles, including the drivers and auxiliary drivers ‘Weyala', had to wait was also studied. To maximize the service level at vehicle stations, a queuing model was subsequently devised ‘Menaharya’. Time, cost, and quality encompass performance, scope, and suitability for the intended purposes. The study also focused on determining the minimal response time required for passengers and vehicles queuing to reach their ultimate destinations within the transportation stations in Tepi, Mizan, and Bonga. A new bus station system was modeled and simulated by Arena simulation software in the chosen study area. 84% improvement on cost reduced by 56.25%, time 4 hours to 1.5 hours, quality, safety and designed load performance calculations employed. Stakeholders are asked to implement the model and monitor the results obtained.</p> 2024-01-30T00:00:00+00:00 Copyright (c) 2024 Mequanint Birhan