Skip to main content

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 177))

Abstract

State-of-the-art planning systems for routing in logistics allow for automatic processing of customer orders, considering a large variety of constraints and operational conditions. As a core feature, they support automated planning by optimization procedures. Planning systems rely on tailored input data, which are commonly assumed to be available as required by optimization procedures. If input data sets become more complex, efficiency of optimization procedures decreases or optimization procedures are not even able to consider such data, respectively. The provision of input data according to the requirements of optimization procedures is usually neglected.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jan Fabian Ehmke .

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media New York

About this chapter

Cite this chapter

Ehmke, J.F. (2012). Provision of Distance Matrices. In: Integration of Information and Optimization Models for Routing in City Logistics. International Series in Operations Research & Management Science, vol 177. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-3628-7_6

Download citation

Publish with us

Policies and ethics