Operations Research and Analytics in Latin America PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Operations Research and Analytics in Latin America PDF full book. Access full book title Operations Research and Analytics in Latin America by Jairo R. Montoya-Torres. Download full books in PDF and EPUB format.
Author: Jairo R. Montoya-Torres
Publisher: Springer Nature
ISBN: 303128870X
Category : Business & Economics
Languages : en
Pages : 234
Get Book Here
Book Description
This 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.
Author: Jairo R. Montoya-Torres
Publisher: Springer Nature
ISBN: 303128870X
Category : Business & Economics
Languages : en
Pages : 234
Get Book Here
Book Description
This 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.
Author: Eduardo Rodriguez
Publisher: CRC Press
ISBN: 1351673173
Category : Business & Economics
Languages : en
Pages : 285
Get Book Here
Book Description
This book focuses on understanding the analytics knowledge management process and its comprehensive application to various socioeconomic sectors. Using cases from Latin America and other emerging economies, it examines analytics knowledge applications where a solution has been achieved. Written for business students and professionals as well as researchers, the book is filled with practical insight into applying concepts and implementing processes and solutions. The eleven case studies presented in the book incorporate the whole analytics process and are useful reference examples for applying the analytics process for SME organizations in both developing and developed economies. The cases also identify multiple tacit factors to deal with during the implementation of analytics knowledge management processes. These factors, which include data cleaning, data gathering, and interpretation of results, are not always easily identified by analytics practitioners. This book promotes the understanding of analytics methods and techniques. It guides readers through numerous techniques and methods available to analytics practitioners by explaining the strengths and weaknesses of these methods and techniques.
Author: Joseph A. Cazier
Publisher: John Wiley & Sons
ISBN: 1119800994
Category : Computers
Languages : en
Pages : 327
Get Book Here
Book Description
A step-by-step guide for business leaders who need to manage successful big data projects Leading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data takes you through the entire process of guiding an analytics initiative from inception to execution. You’ll learn which aspects of the project to pay attention to, the right questions to ask, and how to keep the project team focused on its mission to produce relevant and valuable project. As an executive, you can’t control every aspect of the process. But if you focus on high-impact factors that you can control, you can ensure an effective outcome. This book describes those factors and offers practical insight on how to get them right. Drawn from best-practice research in the field of analytics, the Manageable Tasks described in this book are specific to the goal of implementing big data tools at an enterprise level. A dream team of analytics and business experts have contributed their knowledge to show you how to choose the right business problem to address, put together the right team, gather the right data, select the right tools, and execute your strategic plan to produce an actionable result. Become an analytics-savvy executive with this valuable book. Ensure the success of analytics initiatives, maximize ROI, and draw value from big data Learn to define success and failure in analytics and big data projects Set your organization up for analytics success by identifying problems that have big data solutions Bring together the people, the tools, and the strategies that are right for the job By learning to pay attention to critical tasks in every analytics project, non-technical executives and strategic planners can guide their organizations to measurable results.
Author: Luis Rabelo
Publisher: CRC Press
ISBN: 1000453758
Category : Business & Economics
Languages : en
Pages : 283
Get Book Here
Book Description
Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers. Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced. Industrial case studies and example problem demonstrations are used throughout the book to reinforce the concepts and applications. The book goes on to cover visual analytics and its relationships, simulation from the respective dimensions and Machine Learning and Artificial Intelligence from different paradigms viewpoints. The book is intended for professionals wanting to work on analytical problems, for Engineering students, Researchers, Chief-Technology Officers, and Directors that work within the areas and fields of Industrial Engineering, Computer Science, Statistics, Electrical Engineering Operations Research, and Big Data.
Author: Vincent Charles
Publisher: Springer Nature
ISBN: 3030433846
Category : Business & Economics
Languages : en
Pages : 441
Get Book Here
Book Description
This book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of ‘productivity analysis/data envelopment analysis’ and ‘data science/big data’. Data science is defined as the collection of scientific methods, processes, and systems dedicated to extracting knowledge or insights from data and it develops on concepts from various domains, containing mathematics and statistical methods, operations research, machine learning, computer programming, pattern recognition, and data visualisation, among others. Examples of data science techniques include linear and logistic regressions, decision trees, Naïve Bayesian classifier, principal component analysis, neural networks, predictive modelling, deep learning, text analysis, survival analysis, and so on, all of which allow using the data to make more intelligent decisions. On the other hand, it is without a doubt that nowadays the amount of data is exponentially increasing, and analysing large data sets has become a key basis of competition and innovation, underpinning new waves of productivity growth. This book aims to bring a fresh look onto the various ways that data science techniques could unleash value and drive productivity from these mountains of data. Researchers working in productivity analysis/data envelopment analysis will benefit from learning about the tools available in data science/big data that can be used in their current research analyses and endeavours. The data scientists, on the other hand, will also get benefit from learning about the plethora of applications available in productivity analysis/data envelopment analysis.
Author: Luis Antonio Orozco
Publisher: Springer Nature
ISBN: 3030807207
Category : Business & Economics
Languages : en
Pages : 366
Get Book Here
Book Description
This volume explores the governance and management of science, technology, and innovation (STI) in relation to social inclusion and sustainability, highlighting its goal, challenges, and opportunities. Divided into two sections, it addresses the goals and institutional arrangements around sustainable development in the context of Latin American countries as well as the challenges of developing absorptive STI capacities for inclusion in the higher education institutions and systems. The chapters tackle the important role of citizen science, science diplomacy, peace building, mission-oriented policies, public innovation, institutional entrepreneurs, and policy networks. Researchers and scholars will find an opportunity to better grasp several topics and methodologies in knowledge development in the governance of STI. This interdisciplinary work presents original research on science, technology and innovation policy and governance studies in an understudied region.
Author: Hugo Tsugunobu Yoshida Yoshizaki
Publisher: Emerald Group Publishing
ISBN: 183909334X
Category : Business & Economics
Languages : en
Pages : 268
Get Book Here
Book Description
This edited book presents 18 papers on Supply Chain Management and Logistics in Latin America which emerged from the second SCALE Latin American Conference in 2018. The collection covers a variety of relevant topics in SCM&L for the region, and also addresses its lack of cases and applied examples.
Author: Robert J. Bunker
Publisher: Xlibris Corporation
ISBN: 1524545635
Category : Political Science
Languages : en
Pages : 315
Get Book Here
Book Description
The fifth Small Wars Journal—El Centro anthology spans online journal and blog writings for all of 2015 with a thematic focus on narcoterrorism and impunity in the Americas. This anthology is composed of an About SWJ and Foundation section; a memoriam to our friend and colleague, George W. Grayson; an acronym listing; a foreword; an introduction; twenty-eight chapters; a postscript; anthology notes; and notes on its twenty-three academic, governmental, and professional contributors.
Author: Alexander M Andronov
Publisher: World Scientific
ISBN: 9811286175
Category : Mathematics
Languages : en
Pages : 227
Get Book Here
Book Description
Probabilistic models are widely used for description and an analysis of various processes in system reliability, risk, queuing, data communication, logistic and storage systems. The book contains various applications of the theory of continuous-time Markov-modulated processes in operation research. All analytical results are illustrated by numerical computations. Used algorithms allow overcoming computation difficulties successfully. For example, a calculation of transient probabilities of states for a continuous-time finite Markov chain uses eigenvalues and eigenvectors of the corresponding matrix (generator). In a more complex case of differential or integral equations, such a simple explicit form of a solution is missing. The explicit form of solution is presented by means of infinity sums of functions. For example, often we have to deal with the so-called renewal equation. Its solution is presented as an infinite sum of the renewal function. In this case, an approximation of functions of interest and iterative computation procedures are used.
Author: Hassan, Said Ali
Publisher: IGI Global
ISBN: 1799880427
Category : Business & Economics
Languages : en
Pages : 419
Get Book Here
Book Description
The advancements in decision sciences theory and applications can be regarded as a continuously emerging field in all areas of interest including technology, industry, energy, healthcare, education, agriculture, social sciences, and more. Managers in all disciplines face an endless list of complex issues every day. One of the essential managerial skills is the ability to allocate and utilize limited resources appropriately in the efforts of achieving optimal performance efficiently. This is no less important for those who work in the transportation sector. The Handbook of Research on Decision Sciences and Applications in the Transportation Sector explores the importance of decision sciences and the ways in which they apply to the transportation sector. This book covers technologies and tools including machine learning, mathematical modeling, and simulation and their applications in such tasks as reducing fuel costs, improving passenger flow, and ensuring vehicle safety. It is an essential reference source for managers, professionals in the transport industry, supply chain specialists, safety officers, IT consultants, executives, practitioners, scientists, students, researchers, and academicians.
