Integrating Geographic Information Systems in Industrial Management: Key Drivers for Enhanced Performance and Sustainability
Geographic Information Systems (GIS) integration into the industrial management is a crucial aspect that has helped in boosting the operational performance and sustainability. The tools offered by GIS technology for spatial data analysis, real time data visualization and informed decision making add to greater efficiency of resource allocation and improved supply chain logistics for the industries. The aim of this paper is to identify the main reasons for the use of GIS in the industrial environments, which include the recent technological advances, the regulatory compliance, and the necessity of the operational efficiency. By illustrating how GIS tools help companies fulfill sustainability goals, including better tracking of environmental impacts, reduction of waste, and of energy, the document identifies industries that are immediately utilizing GIS tools. Additionally, the paper talks about the use of GIS in enabling competitive advantages, minimizing costs and work flow optimization. Real time data collection systems, predictive modeling and automation is studied as a feature of bringing about continuous improvement of industrial practice. Examples of applying the GIS approach to optimization of process in manufacturing, transportation and energy sectors are presented in case studies. It also addresses the challenges of GIS implementation, other than high initial costs and data integration, as the future trends and innovations that will influence the evolution from GIS in industrial management. In this paper, we stress the key role of GIS in making industrial management practices change in a way that provides organizational success in the long term due to increased efficiency and sustainability.
Authors
- Laith Jaafer Habeeb (ORCID: https://orcid.org/0000-0002-2808-4432)
- Rasha Flayyih Hasan
- Ali Adham
Institutions
- University of Technology - Iraq (IQ)
- Iraqi University (IQ)
Publication Details
- Journal
- Al-Noor Journal of Engineering Management and Computer Science
- Published
- 2025-04-26
- DOI
- https://doi.org/10.71229/pw81nk57
- Primary Topic
- 3D Modeling in Geospatial Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00