Throughput Optimization in Robotic Cells

  • Milind W. Dawande
  • H. Neil Geismar
  • Suresh P. Sethi
  • Chelliah Sriskandarajah

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 101)

Table of contents

About this book

Introduction

Intense global competition in manufacturing has compelled manufacturers to incorporate repetitive processing and automation for improving productivity. Modern manufacturing systems use robotic cells — a particular type of computer-controlled system in cellular manufacturing. THROUGHPUT OPTIMIZATION IN ROBOTIC CELLS provides practitioners, researchers, and students with up-to-date algorithmic results on sequencing of robot moves and scheduling of parts in robotic cells. It brings together the structural results developed over the last 25 years for the various realistic models of robotic cells. After describing industrial applications of robotic cells and presenting fundamental results about cyclic production, several advanced features, such as dual-grippers, parallel machines, multi-part-type production, and multiple robots, are treated. Important open problems in the area are also identified.

This book is an excellent text for use in a graduate course or a research seminar on robotic cells.

Keywords

algorithm algorithms automation combinatorial optimization manufacturing optimization robot robotic cells scheduling throughput optimization

Authors and affiliations

  • Milind W. Dawande
    • 1
  • H. Neil Geismar
    • 2
  • Suresh P. Sethi
    • 3
  • Chelliah Sriskandarajah
    • 4
  1. 1.School of ManagementUniversity of TexasUSA
  2. 2.College of BusinessPrairie View A&M UniversityUSA
  3. 3.School of ManagementUniversity of TexasUSA
  4. 4.School of ManagementUniversity of TexasUSA

Bibliographic information

  • DOI https://doi.org/10.1007/0-387-70988-6
  • Copyright Information Springer Science+Business Media, LLC 2007
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering
  • Print ISBN 978-0-387-70987-1
  • Online ISBN 978-0-387-70988-8
  • Series Print ISSN 0884-8289
  • About this book