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A Hybrid Simulation Study to Determine an Optimal Maintenance Strategy Ig. Jaka; Gunawan, Ivan; Angelia, Yunia Vera; Trihastuti, Dian
Jurnal Optimasi Sistem Industri Vol. 19 No. 2 (2020): Published in October 2020
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.v19.n2.p91-100.2020

Abstract

With the increasing complexity of the process industry, having excellent maintenance management is essential for manufacturing industries. Various parts that interact and interdependent with each other make a well-planned maintenance strategy is one of the major challenges facing by industry. The whole system could be interrupted just simply because of the failure of a component. Therefore, a review of a maintenance strategy must be done from a system perspective. It is suggested that the optimal preventive maintenance time interval is not only determined by the lowest maintenance cost of each machine but also its impact on the whole system. Two main indicators that can accommodate the system perspective are reliability and revenue. A large number of machines and the array of machines can be synthesized in the reliability indicator. Moreover, the creation of maximum revenue is always the main goal for a business. The best maintenance strategy will be determined from the revenue obtained by a process industry. The process industry discussed in this study is a flour mill which is very well known in Surabaya. This study applied a hybrid simulation to solve this problem. Monte Carlo simulation was used to observe the machine individually and the results are reviewed using the application of System Dynamics. Three improvement scenarios were proposed in this simulation study. Scenario 2 was chosen as the best scenario because it was able to generate the highest revenue at the end of the period. Scenario 2 recommends setting the preventive maintenance time interval considering resource availability.
Recycling Solid Waste of Coconut Oil Industry: A Response Surface-Goal Programming Approach Sirodj, Dwi Agustin Nuriani; Gunawan, Ivan
Jurnal Optimasi Sistem Industri Vol. 19 No. 2 (2020): Published in October 2020
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.v19.n2.p111-121.2020

Abstract

Waste minimization is a key success factor to achieve sustainability, including in the edible oil industry. One type of solid waste produced substantially in this industry is spent bleaching earth (SBE), which comes from a mixture of bleaching earth (BE) and activated carbon (CA) used in the edible oil refining process. SBE that is recycled through a heating process is known as heat regenerated SBE (HRSBE). The process is influenced by two factors as stated in previous studies: temperature and time. In the current study, we report the results of experiments to find the optimal combination of temperature and time in restoring the absorbent quality of SBE by observing four quality parameters: colors (red and yellow), Free Fatty Acid (FFA), and Peroxide Value (PV). The current study uses Response Surface Methodology (RSM) to design the experiments and to find the equations of the relationship between the factors for each response; as well as Goal Programming (GP) to find the most optimal combination of factors in order to achieve aggregated quality targets. The findings show that 3.414 hours of heating at a temperature of 151.64oC allow HRSBE to produce coconut oil in accordance with the expected quality targets.
Blockchain in the Food Supply Chain: A Literature Review and Bibliometric Analysis Wahyuni, Hana Catur; Alfan Rosyid, Mochamad; Sabrina, Bilqis; Gunawan, Ivan; Tieman, Marco
Spektrum Industri Vol. 23 No. 1 (2025): Spektrum Industri - April 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v23i1.302

Abstract

The food supply chain, a complex network of interconnected systems, faces numerous challenges, including food safety, traceability, and sustainability. Blockchain technology, with its inherent properties of immutability, transparency, and security, offers a promising solution to address these challenges. This systematic literature review aims to explore the current state of research and identify emerging trends in the application of blockchain technology to food supply chains. A comprehensive search of the Scopus database yielded 825 articles published between 2017 and 2023. The analysis focused on 161 articles that met specific inclusion criteria. Key themes identified in the literature include traceability, sustainability, food safety, halal food, and circular economy. Blockchain technology offers the potential to enhance transparency, efficiency, and sustainability in the food supply chain by enabling real-time tracking, reducing food waste, and ensuring food safety. The bibliometric analysis revealed a growing research community, with India emerging as a significant contributor. International collaboration is crucial for advancing the field and sharing knowledge. Future research directions include interdisciplinary collaboration, standardization, security, consumer education, and scalability. This study contributes to advancing these research directions by providing insights that enable researchers and industry practitioners to harness the full potential of blockchain technology in fostering a more efficient, transparent, and sustainable food supply chain.