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All Journal Prosiding Konferensi Nasional PKM-CSR JESCEE- Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Simorangkir, Niklas Parlindungan
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Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Nursing Public Health Social Sciences

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THE LEAN 4.0 WORKSHOP: AN OVERVIEW Pratama, Aditya Tirta; Sofianti, Tanika Dewi; Saraswati, Triarti; Simorangkir, Niklas Parlindungan; Kurniawan, Ivan
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 7 (2024): PKMCSR2024: Kolaborasi Hexahelix dalam Optimalisasi Potensi Pariwisata di Indonesia: A
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37695/pkmcsr.v7i0.2269

Abstract

In today's industrial landscape, companies must enhance operational efficiency, productivity, and sustainability while integrating traditional Lean manufacturing principles with Industry 4.0 technologies like IoT, AI, and data analytics. Despite the potential benefits, there is a significant gap in understanding and implementing Lean 4.0. The Lean 4.0 Workshop aims to provide a comprehensive and practical understanding of how Lean principles can be integrated with Industry 4.0 technologies to enhance industrial performance and sustainability. The event, held at Pusat Industri Digital (PIDI) 4.0, attracted representatives from many notable companies. This paper focuses on the benefits this event provides to the community. The workshop presentations disseminate ongoing research as well as theoretical and practical concepts in various areas of Lean 4.0. The exhibition of industrial tools and processes allows participants to become more familiar with advanced technologies and their practical applications. Considering the event's performance, the Lean 4.0 workshop was a success, with over 80 participants showing great interest and actively participating, along with effective and efficient knowledge sharing. Based on the satisfaction survey, 42.9% of respondents were very satisfied with the workshop, and 64.3% found it met their expectations, though not to the fullest extent.
The Implementation of AHP and Whale Optimization Algorithm In The Selection and Optimization of Best Clean Energy Source Simorangkir, Niklas Parlindungan; Pratama, Aditya Tirta
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 2 (2023): Journal of Emerging Supply Chain, Clean Energy and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v2i2.69

Abstract

Clean energy sources have become more and more important in the present time, especially with the goal to reduce the production of greenhouse gases. There are various clean energy sources available, and care must also be taken into which clean energy source is more prevalent in which location. Furthermore, with the multiple alternatives for such clean sources, a method has to be developed to choose the best one, and, if possible, have it optimized to produce the best performance. It is also good if the method developed only requires theories without any need of practical applications in real life (although this is strongly encouraged). This paper will show the utilization of a decision-making tool, namely the analytic hierarchy process, to decide the best energy source and which components are important and then conducts the optimization process through whale optimization algorithm. The research will then conclude with the best energy source chosen in its optimized state. It is hoped that this research will open a gateway into determining which energy sources to use digitally without any recourse to incurring costs on its way.
Co-Authors Ivan Kurniawan Pratama, Aditya Tirta Saraswati, Triarti Sofianti, Tanika Dewi