A Heuristic Bicriteria Scheduling Approach for a Flooring Production Planning Problem

D. Leib (), E. Finhold and T. Heller
Additional contact information
D. Leib: Fraunhofer Institute for Industrial Mathematics ITWM
E. Finhold: Fraunhofer Institute for Industrial Mathematics ITWM
T. Heller: Fraunhofer Institute for Industrial Mathematics ITWM

Chapter Chapter 67 in Operations Research Proceedings 2022, 2023, pp 567-572 from Springer

Abstract: Abstract We consider a scheduling problem motivated by a particular process step in the production of rubber flooring. In this step, a set of given jobs of different colors has to pass through a heated pressure roller, one job at a time. Since different jobs require different process temperatures, and heating up the machine is expensive, we want to minimize the total temperature change. On the other hand, we aim at minimizing the alternations between bright and dark colors to minimize cleaning effort. We provide an efficient heuristic for finding all job sequences that are Pareto optimal with respect to the two objectives.

Keywords: Bicriteria optimization; Heuristics; Scheduling (search for similar items in EconPapers)
Date: 2023
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:lnopch:978-3-031-24907-5_67

Ordering information: This item can be ordered from
http://www.springer.com/9783031249075

DOI: 10.1007/978-3-031-24907-5_67

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().