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All Journal Jurnal Optimasi Sistem Industri Jurnal Ilmiah Teknik Industri OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Wikrama Parahita : Jurnal Pengabdian Masyarakat Jurnal Ilmiah Teknik Industri Proceeding ISETH (International Summit on Science, Technology, and Humanity) (Journal of Environmental Sustainability Management)

Hisjam, Muhammad

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Author-ID : 1455919

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation Other

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Optimizing the Supply Chain for Recycling Electric Vehicle NMC Batteries Kasy, Fransisca Indraningsih; Hisjam, Muhammad; Jauhari, Wakhid Ahmad; Syed Hassan, Syed Ahmad Helmi
Jurnal Optimasi Sistem Industri Vol. 23 No. 2 (2024): Published in January 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

The rapid growth of electric vehicle production has led to increased waste batteries that can no longer be used. This increase causes environmental and economic challenges. Lithium-ion battery waste harms the environment as it contains toxic and ﬂammable chemicals. New raw materials need to be procured economically due to the need for more infrastructure and a circular economy. Therefore, the solution to overcome the impact of the accumulation of lithium battery waste is to recycle the battery. Recycling end-of-life batteries is necessary to mitigate material supply risks, reduce demand for new materials, and mitigate harmful environmental and health impacts. This study aims to provide a conceptual model for the supply chain network design of electric vehicles' Nickel Manganese Cobalt (NMC) battery recycling process. We developed a mathematical model to determine the allocation of multi-product recycling products from multi-suppliers and other related entities such as manufacturers and landﬁlls over multiple periods. The analysis method utilizes techno-economic investment feasibility analysis and load distance method. The problem in the recycling process supply chain network is formulated in a Mixed Integer Linear Programming (MILP) model. The MILP optimization results show that the proposed model produces a globally optimal solution for allocating NMC batteries. The application of this study is to provide a solution to the treatment of waste batteries from electric vehicle end-users in Java Island, Indonesia. In addition, it can develop economic opportunities in the waste battery recycling business in the electric vehicle industry. It is building a contribution to a sustainable electric vehicle battery management system by reducing the dependence on demand for new materials from mining and analyzing the sustainability of the NMC electric vehicle battery recycling process.

Evaluation of Driving Comparative Life Cycle Cost Assessment of Conventional and Electric Motorcycles in Indonesia: Monte Carlo Analysis Yuniaristanto; Hafidza, Lsa Aldira; Sutopo, Wahyudi; Hisjam, Muhammad
Jurnal Optimasi Sistem Industri Vol. 21 No. 2 (2022): Published in October 2022
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.v21.n2.p55-65.2022

The adoption of electric vehicles (EVs) is one of the solutions to reduce emission problems. Vehicle cost analysis is one of the keys to seizing the Indonesian market. As a consumer, it is not only the purchase price that needs to be considered, but the life cycle costs throughout ownership also need to be considered in the purchase. This study discusses the life cycle cost (LCC) of EVs in Indonesia, especially electric motorcycles (EMs), which will be compared with conventional motorcycles (CMs). In particular, this study aims to encourage the government's target for ownership of 2.1 million EMs in Indonesia by 2025. The novelty of this research is to develop a more comprehensive LCC model by considering the costs in terms of tangible and intangible to compare the two types of motorcycles using Monte Carlo simulation. This simulation is used to coordinate the behavioral uncertainty of motorcycle users. As a result, the value of an EM is more economical than CM for various users. The average value percentage of EMs is lower than CMs by 45% (IDR 30,6 million). In addition, several scenarios are also analyzed to maximize consumer welfare in Indonesia.

Proposing Electric Motorcycle Adoption-Diffusion Model in Indonesia: A System Dynamics Approach Sulistyono, Dwi Setyo; Yuniaristanto; Sutopo, Wahyudi; Hisjam, Muhammad
Jurnal Optimasi Sistem Industri Vol. 20 No. 2 (2021): Published in October 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

In 2019, the number of conventional vehicles in Indonesia reached 133,617,012 units, dominated by motorcycles of 112,771,136 units and passenger cars of 15,592,419 units. The high number of conventional motorcycle users can increase the number of pollutants and combustion emissions in the environment. This condition has encouraged the transition to a sustainable transport system that will be needed for decades to come, especially for the electric motorcycle to resolve the issue. This research aims to predict and estimate the market share of electric motorcycles by considering life cycle cost per kilometer. System dynamics simulations are developed to model the adoption-diffusion of electric motorcycles in Indonesia. This model has four main modules: an electric motorcycle module, a conventional motorcycle module, an economy module, and a consumer market module. This model shows a positive trend of EM market share from 2021-2030, with the market share value of EM is 0,411 in 2030. The development of retail price subsidy and electricity price scenarios is also carried out to determine the right policies to accelerate the adoption-diffusion process. Based on the scenario, the provision of retail price subsidy and a decrease in electricity price can increase the value of the EM Market Share.

A Decision Support System to Achieve Self-Sufficiency of Soybean (Case: Central Java Province, Indonesia) Hisjam, Muhammad; Octyajati, Nancy; Sutopo, Wahyudi; Ali, Ahad
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.p144-156.2020

Soybean self-sufficiency in Central Java Province is a problem that is difficult to realize at this time. As an important commodity, self-sufficiency becomes a serious concern for the government. Supply chain management of soybean is related to the integration of supply, demand, and distribution of soybean. The characteristics of entities involved in the soybean supply chain are complex, dynamic, and probabilistic that make the problem cannot be solved using an analytical model and it becomes too risky for trial and error. A suitable tool is using a simulation model. This paper deals with developing a Decision Support System (DSS) using a simulation model that will assist the government in adopting policies in order to achieve self-sufficiency of soybean and the improvement of farmer's welfare. DSS will help decision-makers to try various scenarios of policy in an easy way. The method was started with developing model components, then decision components, and next creating user interfaces. The simulation and system modeling is created by using Powersim software with the intent to obtain the simulation and single document interface (SDI) of the supply chain model. The result shows that land expansion policy is a top priority for realizing food self-sufficiency while increasing productivity and reducing costs of agricultural activities are the main priorities for improving the welfare of farmers.

Overall Equipment Effectiveness Analysis Using Discrete Event Simulation at Table Tennis Table Manufacturer Yuniaristanto; Saputra, Iqbal Wahyu; Hisjam, Muhammad
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.p157-165.2020

To measure the performance of the production process, an efficiency calculation is performed using the Overall Equipment Effectiveness (OEE) method. OEE can measure various production losses and identify potential developments that can be carried out in a production process. This research is expected to be an input to improve production efficiency. The results of overall equipment effectiveness are then performed using Discrete Event Simulation, which built using STELLA Architect. The result shows that their overall equipment effectiveness scores are below the company goals, and performance rate is their lowest score. These simulation results are expected to be a basis for improvements in the production division, especially at Table Tennis Table Manufacturer.

Co-Authors Ali, Ahad Apriani, Yunda Chrissandhi, Erico Sofyan Christa Dian Pratiwi Eko Liquiddanu Fakhrina Fahma Hafidza, Lsa Aldira Hanura, Muhammad Ridzky Hastuti, Tiwik Tri Kasy, Fransisca Indraningsih Maya Revanola Zainida Octyajati, Nancy Priyandari , Yusuf Pujiyanto, Eko Retno Wulan Damayanti Rochani, Renny RR. Ella Evrita Hestiandari Saputra, Iqbal Wahyu Sulistyono, Dwi Setyo Swaraswati, Dinnur Syed Hassan, Syed Ahmad Helmi Wahyudi Sutopo Wakhid Ahmad Jauhari Yuniaristanto Yuniaristanto Yusuf Priyandari Zakariya, Roni

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