ENHANCING OPERATIONAL EFFICIENCY IN COAL ENTERPRISES THROUGH CAPACITY LAYOUT OPTIMISATION: A COST-EFFECTIVENESS ANALYSIS
In particular, this work explores the effectiveness of capacity layout optimisation on workflows and organizational performance for coal enterprises through reliance on advanced technologies such as GIS, Lean Six Sigma, Artificial Intelligence (AI), and Big Data, filling in those gaps in prior stud...
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Regional Association for Security and crisis management, Belgrade, Serbia
2024-09-01
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Series: | Operational Research in Engineering Sciences: Theory and Applications |
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Online Access: | https://oresta.org/menu-script/index.php/oresta/article/view/797 |
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author | D. A. Pervukhin Lisha Tang |
author_facet | D. A. Pervukhin Lisha Tang |
author_sort | D. A. Pervukhin |
collection | DOAJ |
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In particular, this work explores the effectiveness of capacity layout optimisation on workflows and organizational performance for coal enterprises through reliance on advanced technologies such as GIS, Lean Six Sigma, Artificial Intelligence (AI), and Big Data, filling in those gaps in prior studies by using software from AnyLogic to develop computational models and conduct simulations. It analyses the critical parameters of processing time, throughput rates, resource utilization, queue lengths, and idle times to determine operational efficiency and employee satisfaction. The case studies of Mt Arthur Coal and Shendong Coal Mine are discussed to exemplify practical applications and corresponding effects that layout optimisation decisions may have on workforce dynamics and operational performance. Key findings highlight the fact that optimized layouts achieved a 15-20% reduction in cost, 10% improvement in resource utilization and 20% improvement in job satisfaction. Thus, these developments suggest that advance modelling techniques open avenues for using coal industry business processes to design improvements that promote cost-effective improvement in efficiency through employee-centric modifications. This research is a contribution to the growing knowledge base on the optimisation of capacity layout and, therefore, contributes to actionable insights for enhancing the operational efficiency and employee well-being of coal enterprises.
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format | Article |
id | doaj-art-1caf12138f4e45fe814481dbe1244035 |
institution | Kabale University |
issn | 2620-1607 2620-1747 |
language | English |
publishDate | 2024-09-01 |
publisher | Regional Association for Security and crisis management, Belgrade, Serbia |
record_format | Article |
series | Operational Research in Engineering Sciences: Theory and Applications |
spelling | doaj-art-1caf12138f4e45fe814481dbe12440352025-02-11T19:31:31ZengRegional Association for Security and crisis management, Belgrade, SerbiaOperational Research in Engineering Sciences: Theory and Applications2620-16072620-17472024-09-0173ENHANCING OPERATIONAL EFFICIENCY IN COAL ENTERPRISES THROUGH CAPACITY LAYOUT OPTIMISATION: A COST-EFFECTIVENESS ANALYSISD. A. Pervukhin0Lisha Tang1Department of Systems Analysis and Management, Saint Petersburg Mining University, Russia, 199106, Saint Petersburg, Vasilievsky Island, 21 line 2Department of Systems Analysis and Management, Saint Petersburg Mining University, Russia, 199106, Saint Petersburg, Vasilievsky Island, 21 line 2 In particular, this work explores the effectiveness of capacity layout optimisation on workflows and organizational performance for coal enterprises through reliance on advanced technologies such as GIS, Lean Six Sigma, Artificial Intelligence (AI), and Big Data, filling in those gaps in prior studies by using software from AnyLogic to develop computational models and conduct simulations. It analyses the critical parameters of processing time, throughput rates, resource utilization, queue lengths, and idle times to determine operational efficiency and employee satisfaction. The case studies of Mt Arthur Coal and Shendong Coal Mine are discussed to exemplify practical applications and corresponding effects that layout optimisation decisions may have on workforce dynamics and operational performance. Key findings highlight the fact that optimized layouts achieved a 15-20% reduction in cost, 10% improvement in resource utilization and 20% improvement in job satisfaction. Thus, these developments suggest that advance modelling techniques open avenues for using coal industry business processes to design improvements that promote cost-effective improvement in efficiency through employee-centric modifications. This research is a contribution to the growing knowledge base on the optimisation of capacity layout and, therefore, contributes to actionable insights for enhancing the operational efficiency and employee well-being of coal enterprises. https://oresta.org/menu-script/index.php/oresta/article/view/797Capacity Layout OptimisationCoal EnterprisesAILean Six SigmaGISBig Data |
spellingShingle | D. A. Pervukhin Lisha Tang ENHANCING OPERATIONAL EFFICIENCY IN COAL ENTERPRISES THROUGH CAPACITY LAYOUT OPTIMISATION: A COST-EFFECTIVENESS ANALYSIS Operational Research in Engineering Sciences: Theory and Applications Capacity Layout Optimisation Coal Enterprises AI Lean Six Sigma GIS Big Data |
title | ENHANCING OPERATIONAL EFFICIENCY IN COAL ENTERPRISES THROUGH CAPACITY LAYOUT OPTIMISATION: A COST-EFFECTIVENESS ANALYSIS |
title_full | ENHANCING OPERATIONAL EFFICIENCY IN COAL ENTERPRISES THROUGH CAPACITY LAYOUT OPTIMISATION: A COST-EFFECTIVENESS ANALYSIS |
title_fullStr | ENHANCING OPERATIONAL EFFICIENCY IN COAL ENTERPRISES THROUGH CAPACITY LAYOUT OPTIMISATION: A COST-EFFECTIVENESS ANALYSIS |
title_full_unstemmed | ENHANCING OPERATIONAL EFFICIENCY IN COAL ENTERPRISES THROUGH CAPACITY LAYOUT OPTIMISATION: A COST-EFFECTIVENESS ANALYSIS |
title_short | ENHANCING OPERATIONAL EFFICIENCY IN COAL ENTERPRISES THROUGH CAPACITY LAYOUT OPTIMISATION: A COST-EFFECTIVENESS ANALYSIS |
title_sort | enhancing operational efficiency in coal enterprises through capacity layout optimisation a cost effectiveness analysis |
topic | Capacity Layout Optimisation Coal Enterprises AI Lean Six Sigma GIS Big Data |
url | https://oresta.org/menu-script/index.php/oresta/article/view/797 |
work_keys_str_mv | AT dapervukhin enhancingoperationalefficiencyincoalenterprisesthroughcapacitylayoutoptimisationacosteffectivenessanalysis AT lishatang enhancingoperationalefficiencyincoalenterprisesthroughcapacitylayoutoptimisationacosteffectivenessanalysis |