このページのリンク

<電子ブック>
Industrial Engineering and Operations Management : XXIX IJCIEOM, Lisbon, Portugal, June 28–30, 2023 / edited by João Carlos Gonçalves dos Reis, Francisco Gaudêncio Mendonça Freires, Milton Vieira Junior
(Springer Proceedings in Mathematics & Statistics. ISSN:21941017 ; 431)

1st ed. 2023.
出版者 (Cham : Springer Nature Switzerland : Imprint: Springer)
出版年 2023
本文言語 英語
大きさ XVII, 612 p. 189 illus., 141 illus. in color : online resource
著者標目 Gonçalves dos Reis, João Carlos editor
Mendonça Freires, Francisco Gaudêncio editor
Vieira Junior, Milton editor
SpringerLink (Online service)
件 名 LCSH:Operations research
LCSH:Management science
LCSH:Mathematical optimization
LCSH:Production management
FREE:Operations Research, Management Science
FREE:Discrete Optimization
FREE:Operations Management
一般注記 Preface -- Blockchain application for the supply chain optimization -- A Proposal of Web Application for the Study and Resolution of the Job Shop Problem With Makespan Minimization via Mixed Integer Linear Programming -- An approach to the design of resilient biomass supply chain using discrete event simulation -- Industrial production and economic growth since the ‘50s: analysing the Portuguese case using kaldorian and causality approaches -- Green Logistics, Reverse Logistics, Sustainable Logistics, and Eco-efficiency in the construction industry -- Suicide prediction in workers using Neural Networks and stress-related factors -- Method for Improving the Control of Suppliers aiming at Operational Excellence -- Research on Potential Usage of Residual Biomass in Marine Ports -- Optimisation Models for Scheduling Extraordinary University Exams with a Minimum Rest Time between Consecutive Exams -- Optimisation Models for Scheduling Extraordinary University Exams with a Minimum Rest Time between Consecutive Exams -- Diagnosis Model Proposal for Improvement Opportunity in Project Management: An approach from the perspective of lean waste -- Design of a corporate training academy - The case study of a pharmaceutical company -- Socioenvironmental effectiveness of IoT: structure and elements of a proposal assessment tool -- Monte Carlo simulation applied for the identification of arrival and departure constraints at the São Paulo International Airport, Brazil -- Binary Programming for allocation of players in soccer competitions by a Canadian sports event management company -- Analysis of Dentists Allocation in Health Care Centers: A Case of Qatar -- Digital technologies and Lean 4.0: Integration, Benefits and Areas of Research -- Continuous improvement related performance: a bibliometric study and content analysis -- Process monitoring applied to performance indicators of manufacturing process -- Selective Openness in the Additive Manufacturing Industry: An Exploratory Modeling Analysis -- Marketing Campaigns and Consumer Behavior: The Long and Winding Road to Induce Sustainable Practices -- Design of a controller by pole placement applied to a production and inventory system -- Project management in hospital environments: a 5-year systematic literature review -- Preparing Human Factors for Digital Transformation: A Framework for Innovations in Industrial Engineering Education -- Multicriteria decision for electrified vehicles selection using analytical hierarchy process method -- BIM critical factors-based framework towards digitalization of construction in the public sector -- Evaluation of the implementation of recycling, reuse, remanufacturing, and reduction in the reverse chain of Brazilian WEEE: Survey in electronics companies -- Artificial intelligence in supply chain management: A systematic literature review and guidelines for future -- Analysis of the ANEEL Consumer Satisfaction Index through the application of Item Response Theory -- Edtechs in the contextof the industry in digital transformation: main research directions -- An environmental analytical model to assess the decarbonization potential of Municipal Solid Waste-based hydrogen production routes -- Bullwhip effect in the supply chain: an exploratory study in a Brazilian company -- Big Data Analytics to identify failures in production machines and propose a preventive maintenance plan -- Mapping the interlinkages between Humanitarian Operations and Sustainable Development Goals through literature review -- Human Performance of Manual Sorting: a Stochastic Analytical Model -- Analysis of a logistics process between a food service distributor and a fast-food chain -- Sales and Operations Execution – S&OE: A perspective on the Brazilian scenario -- Implications of COVID-19 on the use of public transport in São Paulo, Brazil -- Analysis of performance indicators in orders pickup: physical volume vs human factor -- Machine Learning Applied to Industrial Assembly Lines: A Bibliometric Study.-Barriers, enablers and base Industry 4.0 technologies of digital transformation in supply chains: an inter-country comparison -- Project Management Office and Teaching and Learning Center: A Comparative Literature Review -- Main musculoskeletal disorders in virtual modality students -- The PMOs’ Roles on Reaching the Brazilian’s Sanitation Universalization Goals -- PMS-SMEs network: a framework to measure the performance of SMEs in a collaborative context -- Asset prioritization for predictive maintenance in the context of Industry 4.0: A group multicriteria approach -- Index
This proceedings volume gathers selected, blinded peer-reviewed contributions presented at the XXIX International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), held in Lisbon, Portugal, from June 28th to 30th, 2023. This volume focuses especially on the applications of Industrial Engineering and Operations Management for research and practice. It includes relevant information for academics since most of the chapters focus on real-world case studies and systematic reviews. It also provides valuable insights for professionals in the industrial sector by presenting solutions to complex industrial challenges. The 2023 iteration of the IJCIEOM conference had the theme "Developing resilience in Industrial Engineering and Operations Management" and aimed to analyze the resilience of supply chains in the post-COVID-19 era. The works published in this volume focus on how Digital Transformation (DX) and Artificial Intelligence (AI) have made themanufacturing and service industry more resistant to VUCA elements (i.e., volatile, uncertain, complex, and ambiguous). Regarding DX and AI, the research specifically focused on supply chain management, project management, and Industry 4.0. Other studies explore how industrial engineering incorporated innovative and technological concepts into service and product operations. Overall, this volume provides a valuable resource for researchers and practitioners alike as it presents numerous relevant contributions in identifying new challenges and opportunities for industrial engineering and operations management. This conference was sponsored by renowned international industry engineering associations, particularly the American Society for Engineering Management (ASEM), the Institute of Industrial & Systems Engineers (IISE), and the Asociación para el Desarrollo de la Ingeniería de Organización (ADINGOR)
HTTP:URL=https://doi.org/10.1007/978-3-031-47058-5
目次/あらすじ

所蔵情報を非表示

電子ブック オンライン 電子ブック

Springer eBooks 9783031470585
電子リソース
EB00235463

書誌詳細を非表示

データ種別 電子ブック
分 類 LCC:T57.6-57.97
LCC:T55.4-60.8
DC23:003
書誌ID 4001093672
ISBN 9783031470585

 類似資料