The Tolerance Scheduling Problem in a Single Machine Case

Daniel Alejandro Rossit (), Fernando Tohmé and Gonzalo Mejía Delgadillo ()
Additional contact information
Daniel Alejandro Rossit: Universidad Nacional del Sur
Gonzalo Mejía Delgadillo: Universidad de la Sabana, Faculty of Engineering, Campus Universitario del Puente del Común

Chapter Chapter 13 in Scheduling in Industry 4.0 and Cloud Manufacturing, 2020, pp 255-273 from Springer

Abstract: Abstract This chapter introduces the Tolerance Scheduling problem, which involves the decision-making issues in rescheduling processes. The solutions to this problem can be incorporated in the design of Decision Support Systems (DSS) in Industry 4.0 environments. We present here the mathematical foundations for the solutions of the Tolerance Scheduling problem as well as the technical requirements of their embodiment in Industry 4.0’s DSS. We illustrate these ideas in a case study with a single machine, in which we analyze the performance of the model at different tolerances.

Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-43177-8_13

Ordering information: This item can be ordered from
http://www.springer.com/9783030431778

DOI: 10.1007/978-3-030-43177-8_13

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().