Javier Faulin
javier.faulin(@)unavarra.es
Dep. Statistics and Operations Research
Public University of Navarre, Spain



Angel A. Juan
ajuanp(@)gmail.com
Computer Science Dep. - IN3
Open University of Catalonia (UOC), Spain





Scott E. Grasman
grasmans(@)mst.edu
Engineering Management and Systems Engineering
Missouri University of Science & Technology, USA






  Michael J. Fry
mike.fry(@)uc.edu
Dep. of Quantitative Analysis and Operations Management
University of Cincinnati, USA







 

Updated January 23, 2011




Call for Chapters CRC-Taylor&Francis Book

http://dpcs.uoc.edu/ajuanp/uncertainty&services

Decision Making in Service Industries: A Practical Approach

CALL FOR CHAPTERS - CRC/Taylor&Francis
  • 2-5 Page Proposal Deadline: January 31st, 2011 (extended)
  • Book Title: Decision Making in Service Industries: A Practical Approach
  • Keywords: Service Management, Service Systems, Service Industries, Decision Making in Service Management, Service Infrastructure and Cyber-infrastructure, Logistics and Supply Chain Management, Service Computing, Self-service Systems, Data Warehousing, Data Mining, Business Intelligence, Business Analytics, Decision Making under Uncertainty, Combinatorial Optimization, Stochastic Algorithms, Computer Simulation, Intelligent Hybrid Algorithms, Decision-support Systems, Information Systems, Information Technologies.
  • A book edited by CRC Press http://www.crcpress.com
  • Editors:
    Javier Faulin*; Angel A. Juan, Scott E. Grasman; Mike J. Fry
    (*) javier.faulin(@)unavarra.es
    Dep. of Statistics and Operations Research
    Public University of Navarre
    31006 Pamplona, Spain
    Tef.: +34 948 169 211
    Fax: +34 948 169 204

INTRODUCTION

Efficient service management plays a fundamental role in today’s global world. Service industries are becoming more and more important in knowledge-based societies, where information technologies (ITs) are changing the way these services are offered and managed. At the same time, new challenges must be faced in order to provide intelligent strategies for efficient management and decision-making. In real-life scenarios, service management involves complex decision-making processes which are usually affected by stochastic variables. Under such uncertainty conditions, it becomes necessary to develop and use robust and flexible strategies, algorithms and methods that contribute to increase firms’ and organizations’ competitiveness. The main purpose of this text is two-fold: first, to provide insight and understanding into practical and methodological issues related to decision-making processes under uncertainty in Service Industries; secondly, to provide insight an understanding into current and future trends regarding how these decision-making processes can be efficiently performed for a better design of Service Systems by using probabilistic algorithms, hybrid and simulation-based approaches.  

OVERALL OBJECTIVES OF THE BOOK

The main objectives and mission of our book can be described in the following points:
  • To identify and publish worldwide best practices regarding decision-making processes in the service industries under uncertainty conditions.
  • To share theoretical or applied methodologies and strategies used in service management to deal with uncertainty, including the use of hybrid and stochastic algorithms.
  • To forecast emerging tendencies regarding decision-support systems and information systems to support decision-making in realistic service industries.
  • To provide the academic community with a base text that could serve as a reference in research on service management under uncertainty.
  • To present up-to-date research work on how probabilistic algorithms and simulation-based approaches are changing experiences and practices in service management.
    •
This book aims at presenting original works providing support to decision making in any kind of service companies, e.g.: information technologies, health, tourism & travelling, logistic & transportation, e-commerce, thematic parks, etc.

TARGET AUDIENCE

The text will be useful for academics and professionals involved in the service industries, where decision-making processes need to consider stochastic environments.. The text will also be potentially useful for senior year undergraduate or graduate studies in the following areas: Computer Science & Engineering, Management Science, Business, Economics, Operations Research, Information Systems and Information Technologies.

RECOMMENDED TOPICS INCLUDE, BUT ARE NOT LIMITED TO, THE FOLLOWING:
  • Service management under uncertainty
  • Service design and business analytics
  • Service models in real cases
  • Stochastic algorithms applied to service industries
  • Metaheuristics applied to service industries
  • Simulation applications to service industries
  • Fuzzy-sets applications to service industries
  • Hybrid intelligent algorithms for service-related problems
  • Case studies regarding decision-making in service industries
  • Stochastic vehicle routing problems
  • Stochastic scheduling problems
  • Stochastic reliability/availability problems
  • Stochastic supply-chain management
  • Stochastic assignments problems
  • Decision-support systems for service management
  • Information systems for service management
  • Stochastic combinatorial optimization in service industries
  • Software for solving real service-management problems
  • Meaningful cases of services to make decisions: information technologies, tourism & travelling, health and logistics & transportation firms
  • Meaningful cases of services to make decisions: virtual companies and thematic parks

SUBMISSION PROCEDURE

Researchers and practitioners are invited to submit on or before January 31st, 2011, a 2-5 page manuscript proposal (MS Word) clearly explaining the mission and concerns of the proposed chapter. Authors of accepted proposals will be notified about the status of their proposals and sent chapter organizational guidelines. Full chapters are expected to be submitted by April 15, 2011. All submitted chapters will be reviewed on a double-blind review basis. The book is scheduled to be published by CRC/Taylor&Francis publisher http://www.crcpress.com.

Inquiries and submissions can be forwarded by e-mail to javier.faulin(@)unavarra.es

IMPORTANT DATES
  • 2-5 Page Proposal Deadline: January 31, 2011 (extended)
  • Full Chapters Deadline: April 15, 2011
  • Review Results: June 30, 2011
  • Revised Chapters Deadline: August 30, 2011
  • Notification of final acceptation/rejection: September 15, 2011
  • Camera-ready: October 30, 2011
    •

EDITORIAL ADVISORY BOARD
  • Francisco J. Arcelus - University of New Brunswick, Canada
  • Esteban G. Canal - University of Oviedo, Spain
  • Alejandro G. del Valle - University of La Coruña, Spain
  • Sabrina Hammiche - University of Rennes 1, France
  • Patrick Hirsch - University of Natural Resources and Applied Life Sciences, Vienna, Austria
  • Michael Magazine - University of Cincinnati, OH, USA
  • Manuel Mateo Doll - Technical University of Catalonia, Spain
  • Félix Mora-Camino - École Nationale d’Aviation Civile, Toulouse, France
  • Helena Ramalinho - University Pompeu Fabra, Spain
  • Bartosz Sawik - AGH University of Science & Technology, Krakow, Poland
  • Lei Zhang - University of Maryland, MD, USA
    •