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GIS Applications With Python for Enhancing Sustainable Operational Performance: A Focus on Energy Optimization and Resource Flow in Papua New Guinea
Abstract
The growing complexity and energy needs of the manufacturing sectors in developing countries like Papua New Guinea (PNG) require the incorporation of the modern geospatial and analytical technologies to improve operational efficiencies and sustainability. Python programming, integrated with Geographic Information Systems (GIS), provides an inexpensive and robust mapping, analysis and optimization of energy and resource flows in manufacturing operations. This paper discusses the application of GIS- python models of enhancing sustainable performance of operations within industrial sectors of the PNG and other Pacific Island states as well. It presents a theoretical framework of spatial analytics, energy flow mapping, and resource-optimization using Python automation. Based on case studies of the manufacturing clusters of Lae and Port Moresby (PNG), and the comparative analysis of Fiji and the Solomon Islands, the study draws measurable areas of efficiency improvements.
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