TY - GEN
T1 - CPOT
T2 - 11th IEEE International Symposium on Systems Engineering, ISSE 2025
AU - Vesaghi, Arash
AU - Mansouri, Mo
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Everyday, public and private sectors face escalating pressure to demonstrate efficiency, accountability, and responsiveness in service delivery. The increasing complexity of modern challenges over the last decade has significantly heightened the demand for enhanced governmental and business practices. Consequently, organizations in both competitive private sectors and public service domains are consistently compelled to optimize resource utilization, minimize operational waste, and adapt swiftly to dynamic internal and external environmental changes. This trend is further amplified by a global shift toward digital transformation and data-driven policymaking, underscoring the escalating relevance of quantitative approaches in governance. This strong challenge firmly establishes process optimization as a fundamental element for strategic planning and operational execution. Process optimization is formally defined as a systematic, analytical methodology encompassing the identification, analysis, design, and continuous refinement of existing operational processes. Its primary objective is to achieve specific organizational aims, including improved accuracy, speed, quality, and adaptability. Historically, an ongoing issue across diverse organizational structures has been the perpetuation of suboptimal processes. These inefficiencies commonly manifest as redundant steps, critical bottlenecks, misallocated resources, and an acceptable lack of transparency and accountability within operational frameworks. In this paper, we introduce a novel tool incorporating advanced functionalities designed to significantly expand the range of options available to decision-makers and stakeholders.
AB - Everyday, public and private sectors face escalating pressure to demonstrate efficiency, accountability, and responsiveness in service delivery. The increasing complexity of modern challenges over the last decade has significantly heightened the demand for enhanced governmental and business practices. Consequently, organizations in both competitive private sectors and public service domains are consistently compelled to optimize resource utilization, minimize operational waste, and adapt swiftly to dynamic internal and external environmental changes. This trend is further amplified by a global shift toward digital transformation and data-driven policymaking, underscoring the escalating relevance of quantitative approaches in governance. This strong challenge firmly establishes process optimization as a fundamental element for strategic planning and operational execution. Process optimization is formally defined as a systematic, analytical methodology encompassing the identification, analysis, design, and continuous refinement of existing operational processes. Its primary objective is to achieve specific organizational aims, including improved accuracy, speed, quality, and adaptability. Historically, an ongoing issue across diverse organizational structures has been the perpetuation of suboptimal processes. These inefficiencies commonly manifest as redundant steps, critical bottlenecks, misallocated resources, and an acceptable lack of transparency and accountability within operational frameworks. In this paper, we introduce a novel tool incorporating advanced functionalities designed to significantly expand the range of options available to decision-makers and stakeholders.
KW - Business Process Management
KW - Process Optimization
UR - https://www.scopus.com/pages/publications/105034963102
UR - https://www.scopus.com/pages/publications/105034963102#tab=citedBy
U2 - 10.1109/ISSE65546.2025.11370117
DO - 10.1109/ISSE65546.2025.11370117
M3 - Conference contribution
AN - SCOPUS:105034963102
T3 - ISSE 2025 - 11th IEEE International Symposium on Systems Engineering, Symposium Proceedings
BT - ISSE 2025 - 11th IEEE International Symposium on Systems Engineering, Symposium Proceedings
Y2 - 28 October 2025 through 30 October 2025
ER -