The book describes advanced business analytics and shows how to apply them to many different professional areas of engineering and management. Each chapter of the book is contributed by a different author and covers a different area of business analytics. The book connects the analytic principles with business practice and provides an interface between the main disciplines of engineering/technology and the organizational, administrative and planning abilities of management. It also refers to other disciplines such as economy, finance, marketing, behavioral economics and risk analysis. This book is of special interest to engineers, economists and researchers who are developing new advances in engineering management but also to practitioners working on this subject.

Describes the interface of advanced business analytics and best practice Each chapter focuses on a specific area of business analytics such as retail, finance, marketing, supply chain and telecommunications Contains many case studies that show the reader how to apply the described approaches in their working environment Includes supplementary material: sn.pub/extras

Autorentext
Dr. Fausto Pedro García Márquez got the European Doctorate on Engineering at University of Castilla-La Mancha (UCLM), 2004. He received his Engineering Degree from University of Murcia, Spain in 1998 and Technical Engineer Degree at UCLM in 1995, and the degree in Business Administration and Management at UCLM 2006. He also holds the titles of Supper Technician in Labor Risks Prevention by UCLM 2000 and Transport Specialist at the Polytechnic University of Madrid, Spain, 2001. He has been Senior Manager in Accenture 2013/2014. He is Senior Lecture (Full professor accredited) at UCLM, and Honorary Senior Research Fellow at Birmingham University UK, Lecturer in Instituto Europeo de Postgrado since 2014 and Director of Ingenium Research Group. He has been principal investigator in 3 European Projects, and 60 national and for company research projects. He has international and national patents, more than 110 international papers, 12 books and 3 International Awards in Engineering Management and Management Science. (www.uclm.es/profesorado/fausto) Dr. Benjamin Lev is Professor and Head of Decision Sciences at LeBow College of Business. He holds a PhD in Operations Research from Case Western Reserve University. Prior to joining Drexel university Dr. Lev held academic and administrative positions at Temple University, University of Michigan-Dearborn and Worcester Polytechnic Institute. He is the Editor-in-Chief of OMEGA-The International journal of Management Science; Co-Editor-in-Chief of International Journal of Management Science and Engineering Management; and serves on several other journal editorial boards. He has published ten books, numerous articles and organized many national and international conferences.

Klappentext
The book describes advanced business analytics and shows how to apply them to many different professional areas of engineering and management. Each chapter of the book is contributed by a different author and covers a different area of business analytics. The book connects the analytic principles with business practice and provides an interface between the main disciplines of engineering/technology and the organizational, administrative and planning abilities of management. It also refers to other disciplines such as economy, finance, marketing, behavioral economics and risk analysis. This book is of special interest to engineers, economists and researchers who are developing new advances in engineering management but also to practitioners working on this subject.

Inhalt
Decision Making Approach for Optimal Business Investments.- Integration of a Heuristic Method into an ERP Software.- Economic Viability Analytics for Wind Energy Maintenance Management.- Introduction to Multi-Attribute Decision Making in Business Analytics.- How Business Analytics Should Work.- Vulnerability Analysis of a Signal-Controlled Road Network for Equilibrium Flow.- Analytical Model Implementing Objectives in EVM for Advanced Project Control.- Use of Excellence Models as a Management Maturity Model (3M).- AHP and Intuitionistic Fuzzy Topsis Methodology for SCM Selection.- The Assessment and Selection of Hedge Funds.- Functional Data Analysis with an Application in the Capital Structure of California Hospitals.- A Software Application to Optimize the Visits of Sales/Marketing Agents to Their Customers in a Brewing Company.