Skip to main content
  • Book
  • © 2018

Machine Scheduling to Minimize Weighted Completion Times

The Use of the α-point

Authors:

  • Presents self-contained content
  • Includes a diverse range of problems and explains the similarities/differences
  • Collects all of the most important results in the field

Part of the book series: SpringerBriefs in Mathematics (BRIEFSMATH)

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and 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

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

Table of contents (1 chapter)

  1. Front Matter

    Pages i-xi
  2. Back Matter

    Pages 51-53

About this book

This work reviews the most important results regarding the use of the α-point in Scheduling Theory. It provides a number of different LP-relaxations for scheduling problems and seeks to explain their polyhedral consequences. It also explains the concept of the α-point and how the conversion algorithm works, pointing out the relations to the sum of the weighted completion times. Lastly, the book explores the latest techniques used for many scheduling problems with different constraints, such as release dates, precedences, and parallel machines. This reference book is intended for advanced undergraduate and postgraduate students who are interested in scheduling theory. It is also inspiring for researchers wanting to learn about sophisticated techniques and open problems of the field.

Reviews

“This work provides a detailed survey of the papers published during the past two decades. It is devoted to developing and evaluating the performance of constant-factor approximation algorithms for scheduling problems. … The author provides examples which illustrate the used concepts and prove the tightness of the obtained theoretical bounds. In conclusion, the author indicates a number of open questions and conjectures.” (Svetlana A. Kravchenko, zbMATH 1395.90003, 2018)

Authors and Affiliations

  • Institut für Mathematik, Alpen-Adria-Universität, Klagenfurt, Austria

    Nicoló Gusmeroli

About the author

Nicoló Gusmeroli completed his Master’s degree at the ELTE University of Budapest in 2017, and is currently working on the project High-Performance Solver for Binary Quadratic Problems at the Alpen-Adria University of Klagenfurt as a PhD student. His main research interests are in combinatorial optimization, semidefinite optimization, and scheduling theory. He completed his Bachelor’s studies at the University of Verona prior to spending an exchange semester at the University of Primorska (Slovenia), where he wrote his Bachelor’s thesis.

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and 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