STREAMLINED LIFE CYCLE IMPACT ASSESSMENT AND HOTSPOT ANALYSIS OF A HEAVY EQUIPMENT SERVICE FACILITY IN INDONESIA: A GATE-TO-GATE PYTHON-BASED APPROACH
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2026-09-05Downloads
Abstract
This study develops and applies a streamlined Life Cycle Impact Assessment (LCIA) approach to evaluate the operational environmental performance of a heavy equipment service facility under a gate-to-gate system boundary. The case study uses 2025 operational data from PT United Tractors Tbk, Semarang Branch, including electricity, fuel, water, and non-hazardous waste consumption, and processes the inventory through a transparent, fully auditable Python-based implementation rather than through commercial LCA software. The results show that the Climate Change (GWP100) score reaches 176,203.80 kg CO2-eq per year under market-based Scope 2 accounting, with grid electricity from the Java-Madura-Bali (JAMALI) interconnection contributing 60.92% of the total impact, well above the gasoline- and diesel-type fuel flows that follow it. At the process level, Workshop and Service and Delivery and Mobilization emerge as the dominant hotspots, jointly contributing 59.05% to the annual climate footprint, while a supplementary hazardous-waste inventory further identifies 4.913 tonnes per year of regulated waste, of which 99.0% is verifiably managed through a licensed third party. The findings indicate that a streamlined, code-based LCIA can deliver sufficiently robust and decision-relevant environmental information for internal management purposes in organizations that face limited access to commercial LCA software and characterization databases. The study contributes a replicable, methodologically transparent, and low-cost assessment framework for service-oriented industrial operations in emerging economies and offers a template that other branch-scale or small-and-medium enterprise operations can adapt with modest technical resources.
Keywords:
Life Cycle Assessment streamlined LCIA hotspot analysis gate-to-gate study heavy equipment service Python implementationReferences
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Copyright (c) 2026 Josua Aditya Manuel, Haryono Setiyo Huboyo, Ika Bagus Priyambada
This work is licensed under a Creative Commons Attribution 4.0 International License.
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