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020 _a9783031288708
024 7 _a10.1007/978-3-031-28870-8
_2doi
040 _aES-VaUEC
_bspa
_cES-VaUEC
050 0 4 _aT57.6-.97
_b2024
245 0 0 _aOperations Research and Analytics in Latin America:
_bProceedings of ASOCIOIISE Region 16 Joint Conference 2022 /
_cedited by Jairo R Montoya-Torres, William J Guerrero, David L Cortés-Murcia
250 _a1st ed 2023
264 1 _aCham
_c2023
_bSpringer International Publishing
300 0 0 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aLecture Notes in Operations Research,
_x2731-0418
505 0 _aAn Overview of Operations Research / Management Science in Latin America -- Collaborative versus Non-Collaborative Bus School Routing -- Method for Assigning Break Times in Predefined Shifts for Call Center Teleoperators -- Financial Risk Analysis for a Specialized Dairy Farm Project and Impacts of Government Interest Rate Subsidies -- Brand Positioning Analysis for the Automotive Lubricants Industry Using Perceptual Maps -- Comparison of Nawaz-Enscore-Ham Algorithm and Local Search Operator in Flowshop Scheduling with Learning Effects -- Methodology for integrating variables for a transdisciplinary productivity model.-Mathematical Models for Scheduling Electric Vertical Take-off and Landing (eVTOL) Vehicles at Urban Air Mobility Vertiports -- Inter-cities Model Proposal for Potato's Last Mile Logistics: Case study in Bogotá, Colombia and Cochabamba, Bolivia -- Road prioritization for the reconstruction of an area affected by a disaster -- Heuristic Method for the Emergency Water Delivery Problem with Deprivation Costs -- A Simulation Approach to Analyze the Operational Response Plans in an Emergency Department under the COVID-19 Pandemic -- A Simulation Approach to Analyze the Operational Response Plans in an Emergency Department under the COVID-19 Pandemic -- Predicting Medicine Administration Times in the Inpatient Ward Using Data Analytics -- Modeling Vaccine Allocations in Rural Areas in Central Regions from Colombia -- Feasibility Study and Multivariate Analysis of a Sustainable Housing Project -- Perspectives of Operational Research for Modeling and Analysis of Agricultural Production Systems -- Informal Recycling of Venezuelan Migrants in Bogotá.
520 _aThis book gathers a selection of peer-reviewed research papers presented at the joint IV ASOCIO/XIX IISE Region 16 Conference held in Chia and Bogota, Colombia. The conference was organized by the Universidad de La Sabana's Research Group on Logistics Systems, in partnership with Chapters #782 (Universidad de La Sabana), #712 (Universidad Sergio Arboleda) and #988 (Universidad de Los Andes) of the Institute of Industrial and Systems Engineers (IISE). The main emphasis of the book is on modelling and solving business-related problems in operations research, and on applying descriptive, predictive and prescriptive analytics and the management sciences to actual decision-making in organizations. Both theoretical developments and algorithm implementation are presented. A special focus is given to business problems arising in emerging economies, particularly in Latin America and the Caribbean. This book is addressed to academics, practitioners, postgraduate students and researchers in operations research, analytics and industrial engineering, as well as to undergraduate students for educational purposes. In particular, the book will appeal to the academic and research community in Latin America and the Caribbean, as it presents projects developed and implemented there. Higher education engineering programs will benefit from the findings and insights shared in the fields of industrial engineering, operations research and analytics, applied mathematics, and computer science and engineering.
830 0 _aLecture Notes in Operations Research,
_x2731-0418
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-28870-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
912 _aZDB-2-BUM
912 _aZDB-2-SXBM
942 _2lcc
_cLE
988 _aSpringer_Business_2023
999 _c238717
_d238717