© 2015

Decision Models in Engineering and Management

  • Patricia Guarnieri

Part of the Decision Engineering book series (DECENGIN)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Patricia Guarnieri
    Pages 1-8
  3. Decision Models in Financial Management

    1. Front Matter
      Pages 9-9
    2. Marcelo Botelho da Costa Moraes, Marcelo Seido Nagano, Vinicius Amorim Sobreiro
      Pages 11-28
    3. Herbert Kimura, Leonardo Fernando Cruz Basso, Eduardo Kazuo Kayo
      Pages 57-73
  4. Decision Models in Production and Processes Management

    1. Front Matter
      Pages 75-75
    2. Juliana Keiko Sagawa, Marcelo Seido Nagano
      Pages 77-108
    3. Ana Carolina Scanavachi Moreira Campos, Adiel Teixeira de Almeida
      Pages 109-125
  5. Selection of Suppliers and Partnerships Management

    1. Front Matter
      Pages 127-127
    2. Vanessa B. S. Silva, Fernando Schramm
      Pages 129-141
  6. Decision Models in Energy and Water Industry

    1. Front Matter
      Pages 177-177
    2. Antonio Vanderley Herrero Sola, Caroline Maria de Miranda Mota
      Pages 179-195
    3. Flavio Trojan, Danielle C. Morais
      Pages 197-223
  7. Decision Models in Public Policies

    1. Front Matter
      Pages 225-225
    2. André Luiz Marques Serrano, Paulo Augusto Pettenuzzo de Britto, Patricia Guarnieri
      Pages 227-238
    3. Lúcio Camara e Silva, Natallya de Almeida Levino, Lúcio dos Santos e Silva
      Pages 239-254
  8. Decision Model in Civil Engineering

    1. Front Matter
      Pages 255-255

About this book


Providing a comprehensive overview of various methods  and applications in decision engineering, this book presents chapters written by a range experts in the field. It presents conceptual aspects of decision support applications in various areas including finance, vendor selection, construction, process management, water management and energy, agribusiness , production scheduling and control, and waste management. In addition to this, a special focus is given to methods of multi-criteria decision analysis.

Decision making in organizations is a recurrent theme and is essential for business continuity.  Managers from various fields including public, private, industrial, trading or service sectors are required to make decisions. Consequently managers need the support of these structured methods in order to engage in effective decision making.

This book provides a valuable resource for graduate students, professors and researchers of decision analysis, multi-criteria decision analysis and group decision analysis. It is also intended for production engineers, civil engineers and engineering consultants.


Civil Engineering Decision Analysis Decision Analysis Models in Engineering Decision Analysis Models in Finance Decision Analysis in Energy Management Decision Analysis in Management Decision Analysis in Sustainability Decision Making in Engineering Decision Support Applications in Engineering Methods & Applications in Decision Engineering Multi-Criteria Decision Analysis in Engineering Multi-Criteria Decision in Industry Production Engineering Decision Analysis

Editors and affiliations

  • Patricia Guarnieri
    • 1
  1. 1.Faculdade de Economia, Administração e ContabilidadeUniversity of BrasiliaBrasíliaBrazil

About the editors

Patricia Guarnieri belongs to the Faculty of Department of Business Administration, University of Brasilia (UnB), Brazil. She holds a Bachelor in Accounting by State University of West of Parana (Unioeste), Master in Production Engineering from Federal University of Technology of Parana (UTFPR), and Doctorate in Production Engineering from Federal University of Pernambuco (UFPE), Brazil. She is currently assistant professor and researcher at University of Brasilia, Brazil, teaching Logistics and Decision Analysis classes. She has several articles published in Brazilian and international events and journals. Her research interests include collaboration and partnerships in supply chain management; reverse logistics; environmental accounting; multicriteria decision aid and waste management.

Bibliographic information