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All Journal Jurnal Teknik ITS IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Agrointek Jurnal Optimasi Sistem Industri Jurnal Studi Manajemen dan Bisnis PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Indonesian Journal of Information System CAPITAL: JURNAL EKONOMI DAN MANAJEMEN SISFO JISO : Journal of Industrial and Systems Optimization Indonesian Journal of Innovation Studies Automotive Experiences Prosiding Seminar Nasional Program Pengabdian Masyarakat Jurnal Indonesia Sosial Teknologi Journal of Artificial Intelligence and Digital Business Jurnal Standardisasi
Putu Dana Karningsih
Departemen Teknik Industri Institut Teknologi Sepuluh Nopember
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation Other

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Journal : Jurnal Optimasi Sistem Industri

 1 
Cost-Integrated Lean Maintenance to Reduce Maintenance Cost Putu Dana Karningsih; Winda Puspitasari; Moses Laksono Singgih
Jurnal Optimasi Sistem Industri Vol. 22 No. 1 (2023): Published in May 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v22.n1.p69-80.2023

Abstract

The company has always prioritized cost reduction. In this study, the researchers aimed to decrease maintenance costs by actively eliminating expensive non-value-added processes. The study employed Process and Time Driven Activity Based Costing to integrate cost with the activities performed. By conducting maintenance value stream mapping, the researchers identified various forms of waste, such as centralized maintenance, ineffective data management, poor inventory management, inadequate maintenance, under-utilization of resources, and waiting time for maintenance resources. Several alternative improvement options were proposed, and the Pugh method was used to compare and select the most promising alternatives or combinations of alternatives. The third alternative, which involves conducting internal training and implementing standard operating procedures for maintenance technicians, supervisors, and machine operators, as well as integrating an IT system for maintenance and creating an equipment and spare parts inventory database, was chosen as the highest-ranking option. The results showed that this approach reduced processing time for administrative activities, lowered corrective maintenance costs, and improved maintenance efficiency for both preventive and corrective maintenance.
Developing an Industry-Specific Lean 4.0 Readiness Assessment Tool: A Case for the Chemical Sector Sulistyo, Arif Budi; Karningsih, Putu Dana; Alvandi, Samira
Jurnal Optimasi Sistem Industri Vol. 23 No. 2 (2024): Published in January 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (955.682 KB) | DOI: 10.25077/josi.v23.n2.p283-298.2024

Abstract

In an era where digital transformation is increasingly imperative, many industries struggle to navigate the complexities of technological adoption and operational efficiency. Lean principles, which emphasize waste reduction and process optimization, provide a robust foundation for digital transformation, particularly in the chemical industry, where unique operational challenges exist. This research aims to develop an integrated Lean 4.0 readiness assessment tool to bridge the gap between leanness and Industry 4.0 readiness. The study begins with a literature review on existing lean and Industry 4.0 readiness measurement tools and integrates them to create a new framework, using the Indonesia Industry 4.0 Readiness Index (INDI 4.0) as a reference, tailored specifically to the chemical industry. Expert interviews are conducted to refine the assessment tool, ensuring alignment with real-world industry conditions and practical insights. A Delphi-based expert consensus method combined with a fuzzy approach for handling imprecision in indicator ratings is employed to validate the framework, resulting in five key dimensions and 86 indicators. By gathering expert input, the tool addresses the chemical industry’s specific challenges and simplifies readiness evaluation, helping companies assess their preparedness for digital transformation and identify areas for improvement. The resulting framework enables chemical companies to bridge readiness gaps and prioritize targeted enhancements. Furthermore, this tool has the potential to serve as a scalable model for other industries, fostering more efficient and strategic digital transformation aligned with Industry 4.0 objectives globally.
Cost-Integrated Lean Maintenance to Reduce Maintenance Cost Karningsih, Putu Dana; Puspitasari, Winda; Singgih, Moses Laksono
Jurnal Optimasi Sistem Industri Vol. 22 No. 1 (2023): Published in May 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v22.n1.p69-80.2023

Abstract

The company has always prioritized cost reduction. In this study, the researchers aimed to decrease maintenance costs by actively eliminating expensive non-value-added processes. The study employed Process and Time Driven Activity Based Costing to integrate cost with the activities performed. By conducting maintenance value stream mapping, the researchers identified various forms of waste, such as centralized maintenance, ineffective data management, poor inventory management, inadequate maintenance, under-utilization of resources, and waiting time for maintenance resources. Several alternative improvement options were proposed, and the Pugh method was used to compare and select the most promising alternatives or combinations of alternatives. The third alternative, which involves conducting internal training and implementing standard operating procedures for maintenance technicians, supervisors, and machine operators, as well as integrating an IT system for maintenance and creating an equipment and spare parts inventory database, was chosen as the highest-ranking option. The results showed that this approach reduced processing time for administrative activities, lowered corrective maintenance costs, and improved maintenance efficiency for both preventive and corrective maintenance.
Co-Authors Adinda Sushmita Dewanti Adithya Sudiarno Aditia Shofyan, Rizal Aditya Rahadian Fachrur Adji Sepvian Fadillah Budiono Ahmad Syamsuri Alvandi, Samira Amelia Santoso Anda Iviana Juniani Arie Diputra Ersam Ariyani, Made Laksmi Atmam Abdha Arianandha Bambang Prasetya Benhard Panangian Budi Siswanto Budisantoso Wirjodirdjo Chatarina Dian Indrawati Danar Agus Susanto David Dwi Harjanto Dewanti Anggrahini Dewanti Anggrahini Dewanti Anggrahini Dewanti Anggrahini Dewinta Cahya Mardiatilla Dodgalih Nur Muhammad Dwa Desa Warnana Edi Winarno Emielda Rizqiah Ervina Ahyudanari Farah Widyan Hazmi Fauzillah Indriani Fauziyah Fatma Ningrum Gede Bima Nugraha Hari Supriyanto Hari Supriyanto Hari Supriyanto Henry Pariaman I Ketut Gunarta I Nyoman Pujawan Iffan Maflahah Imandio Wicaksono Inggrit Febriani Sulistiono Putri Inggrita Putri Kusuma Wardani Irene Malilung Sitanggang Iwan Vanany Jayadinata Lukito, Alvin Kurniati, Nani Lestari, Nastiti Puji Maria Anityasari Mokh. Suef Mokhamad Suef Moses Laksono Singgih Muhammad Ryan Nur Haq Nando, Fiky Two Nani Kurniati Nastiti Puji Lestari Novi Dwi Jayanti Novi Dwijayanti Petrus Setya Murdapa Puspitasari, Winda Ragil Sudaryanto Ridho Bayuaji Rindi Kusumawardani Rindi Kusumawardani Rizal Indrawan Rizaldy Rizki Pratama Rohmatuka, Moh. W. Satria Khalif Isnain Satria Khalif Isnain Septi Ayu Angrayni Sherina Amalia Permatasari Sofyan Atsauri Sutikno Sutikno Udisubakti Ciptomulyono Udisubakti Ciptomulyono Valiana Gamma Krestanti Wicaksono, Bagas Wahyu Wijdani Anindya Hadi Winda Puspitasari Wiwin Widiasih Yuanita Kumala Dewi Yudha Prasetyawan Yudha Prasetyawan Yuniasri, Riskyta Yusita Mega Kuncoro