Skip to main content

Modeling for Decision Support in Network-Based Services

The Application of Quantitative Modeling to Service Science

  • Conference proceedings
  • © 2012

Overview

  • Fast track proceedings

Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 42)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (12 papers)

  1. Introduction

  2. Section I - Network Science

  3. Section II - Computational and Analytical Modeling

  4. Section III - Knowledge Science

Keywords

About this book

This book originated from several recent workshops and related activities conducted by the IFIP Working Group 7.6 on "Optimization-Based Computer Aided Modeling and Design." This group has been active for 20 years with the stated objective of developing ”high-performance computer-aided systems to support modeling, decision analysis, optimization and multi-criteria decision making.” Recently, the group has turned its attention to the application of modeling and optimization to service science, management and engineering (SSME). SSME is still a young research field searching for its theoretical underpinnings, and one which offers many opportunities for analytical modeling to not only advance the understanding, but also to help form the foundation of a new discipline. This book is the result of the group's introductory foray into the application of quantitative modeling to the nascent field of service science with special emphasis on the network aspects of services. The 11 papers presented are grouped into sections on Network Science, Comptational and Analytical Modeling, and Knowledge Science. They showcase the value of modeling in a new and timely context and provide many seeds for further exciting research.

Editors and Affiliations

  • Department of Information Sciences, Naval Postgraduate School, Monterey, USA

    Daniel Dolk

  • Institute of Control and Computation Engineering, and National Institutute of Telecommunications, Warsaw University of Technology, Warsaw, Poland

    Janusz Granat

Bibliographic Information

Publish with us