04940nam a22005655i 4500 978-3-031-51719-8 DE-He213 20251030111504.0 cr nn 008mamaa 240307s2024 sz | s |||| 0|eng d 9783031517198 978-3-031-51719-8 10.1007/978-3-031-51719-8 doi TJ212-225 TJFM bicssc GPFC bicssc TEC007000 bisacsh TJFM thema Progressive Decision-Making Tools and Applications in Project and Operation Management [electronic resource] : Approaches, Case Studies, Multi-criteria Decision-Making, Multi-objective Decision-Making, Decision under Uncertainty / edited by Mohammad Yazdi. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XII, 272 p. 61 illus., 52 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Systems, Decision and Control, 2198-4190 ; 518 1- The basic concepts of decision-making in operations and project management -- 2- The modern measuring performance in digitalized operations management -- 3- Advanced decision-making in emerged technology and operations management -- 4- Digitalized decision-making in forecasting and demand planning -- 5- Process analysis and recourses utilization under uncertainty -- 6- The application of multi-criteria decision-making tools in supply chain management and logistics -- 7- Mathematical modeling and optimization methods in operations scheduling and sequencing -- 8- Uncertainty handling in supply chains inventories management. In today's complex operational environments, leveraging advanced decision-making tools becomes imperative, particularly in uncertain scenarios. This book deepens the nuances of employing state-of-the-art decision-making methodologies within various industrial sectors for optimal project and operations management. The essence of integrating these advanced tools is to equip professionals with pivotal insights for cost-effective management and to strategize against potential operational shortcomings. Furthermore, the methodologies elucidated provide a robust foundation for crafting informed, risk-centric strategies that uphold the integrity of operations across diverse application domains. Readers will discover a rich tapestry of methodologies tailored for engineers and analysts. Deeply rooted in mathematical modeling, these approaches are complemented by human judgment and participation. Fundamental attributes of these methods include the evaluation of alternatives, benchmarking against criteria, assigning scores based on varying requirements, and assigning weights to denote the significance of individual criteria vis-à-vis others. The book embarks on a structured journey, commencing with a comprehensive review of evolving decision-making methodologies in project and operations management, enriched by metadata analysis. Subsequent chapters are meticulously organized, each spotlighting a distinct approach. Topics span foundational concepts in decision-making, the nuances of performance metrics in the digital age, and the implications of emerging technologies on operations management. Targeted towards professionals and researchers immersed in project and operations management, this work will also immensely benefit postgraduate and undergraduate students in related fields. Moreover, its relevance extends to professionals across diverse sectors, from oil and gas, marine and offshore, and renewable energies to chemical complexes, manufacturing, and healthcare systems. Control engineering. Computational intelligence. 64052 Engineering design. 64316 Control and Systems Theory. 65868 Computational Intelligence. 64052 Engineering Design. 64316 Yazdi, Mohammad. editor. (orcid)0000-0002-6714-5285 https://orcid.org/0000-0002-6714-5285 edt http://id.loc.gov/vocabulary/relators/edt 71673 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031517181 Printed edition: 9783031517204 Printed edition: 9783031517211 Studies in Systems, Decision and Control, 2198-4190 ; 518 https://doi.org/10.1007/978-3-031-51719-8 ZDB-2-INR ZDB-2-SXIT 58152 58152