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Industrial engineering and operations managementXXX IJCIEOM, Salvador, Brazil, June 26-28, 2024 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Industrial engineering and operations managementedited by João Carlos Gonçalves dos Reis ... [et al.].
其他題名:	XXX IJCIEOM, Salvador, Brazil, June 26-28, 2024 /
其他題名:	XXX IJCIEOM
其他作者:	Gonçalves dos Reis, João Carlos.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xvii, 501 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Operations research
電子資源:	https://doi.org/10.1007/978-3-031-80785-5
ISBN:	9783031807855$q(electronic bk.)

Industrial engineering and operations managementXXX IJCIEOM, Salvador, Brazil, June 26-28, 2024 /
Industrial engineering and operations managementXXX IJCIEOM, Salvador, Brazil, June 26-28, 2024 /[electronic resource] :XXX IJCIEOMedited by João Carlos Gonçalves dos Reis ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xvii, 501 p. :ill. (chiefly color), digital ;24 cm. - Springer proceedings in mathematics & statistics,v. 4832194-1017 ;. - Springer proceedings in mathematics & statistics ;v.19..

1 Greening the European Defense Industry -- 2 Use of Artificial Neural Networks and Decision Tree for Defaulters' Prediction -- 3 Proposal for an Optimized Model to Analyze Customer Satisfaction -- 4 Mechatronic Framework for Smart Beehives -- 5 Digital Fashion -- 6 Computer Vision as a Resource in Smart Warehouses -- 7 Port Logistics Emissions Control Using Machine Learning to Coordinate the Truck Flow -- 8 Evolution of Logistics Service Providers -- 9 Reinforcement Learning and Discrete Event Simulation Applied to Production Scheduling -- 10 A Simulation Model to Determine Production Shifts for Pallet Packaging -- 11 The Enhanced Factory for Extra-terrestrial Space Technology Operations -- 12 Digital Twins in Asset Prognosis and Health Management -- 13 Benefits of ERP Information Systems in ESG Management Within Organizations -- 14 An Assignment Model for High-Cognitive-Workload Maintenance Activities in Industry 5.0 -- 15 Forecast of Brazilian GDP Growth Through Consumption of Diesel Oil and Electrical Energy -- 16 Impact of Distribution Configurations on Supply Chain Performance -- 17 Lean Healthcare Management Through Kaizen in a Public Brazilian Hospital -- 18 Multicriteria Decision Analysis for Natural Risk Management Context -- 19 Assessment of a Project Management Maturity Diagnostic Tool -- 20 Utilizing GPT-4 in the Selection of Health-tech Startups for a Brazilian Acceleration Program -- 21 Applicability Analysis of the Power BI with the OKR Methodology in the Strategic Planning Enhancement -- 22 Optimization Model for the Design of Cycling Networks -- 23 Impact of Transformational Leadership on Industry Management in the Context of Digital Transformation -- 24 Integrating Predictive Analysis into Manufacturing Operations -- 25 Lessons Learned about Scope 3 Emissions from Companies Serving the Oil and Gas Industry -- 26 Corporate Sustainability and Big Data -- 27 Optimizing Maintenance and Reducing Operating Costs by Analyzing Big Data and Applying Random Forest to Machine Operating Data -- 28 Circular Supply Chain -- 29 An Application of a Hybrid Structural-Interpretative Modeling for Plastic Waste Management Performance -- 30 Wave of Change -- 31 Management Model for Metropolitan Train Maintenance -- 32 Customer Satisfaction in Tourism Services Center -- 33 Industry 4.0 Maturity Assessment Model -- 34 Enhancing Efficiency in the Oil and Gas Industry Through Digital Twins -- 35 Improving Outsourcing -- 36 Development of a Causal Loop Diagram to Understand the Complexity of a Food Bank's Supply Chain Processes -- 37 Performance Monitoring Dashboard for Photovoltaic Plant Maintenance Practices.

This proceedings gathers selected, peer-reviewed papers presented at the XXX International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), held from June 26 to 28, 2024, in Salvador, Brazil. The works in this volume explores critical areas such as Supply Chain risk models, last-mile delivery optimization, stochastic inventory models, and human development focusing on digital training for operations management in emergencies. Tailored to benefit academics, the volume comprises studies predominantly rooted in real-world case studies, systematic, and meta-reviews, offering valuable insights also for professionals within the industrial sector by presenting solutions to intricate industrial challenges.

ISBN: 9783031807855$q(electronic bk.)

Standard No.: 10.1007/978-3-031-80785-5doiSubjects--Topical Terms:

216699
Operations research

LC Class. No.: T55.45

Dewey Class. No.: 670.42

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