Green Scheduling of a Complex Flexible Manufacturing Problem

Maryam Fetri and Seyed Habib A. Rahmati ()
Additional contact information
Maryam Fetri: Islamic Azad University
Seyed Habib A. Rahmati: Islamic Azad University

A chapter in Handbook of Smart Energy Systems, 2023, pp 1021-1043 from Springer

Abstract: Abstract With the problem of global warming and rising energy costs, manufacturing companies are increasingly paying attention to reducing energy consumption. Suitable planning and scheduling can have significant effects on reducing energy consumption in production systems. This chapter studies the development of practical classical flexible job shop scheduling problem (FJSP) by dual-resource constraint with the aim of minimizing power consumption. Therefore, the sequencing and assignments of jobs are conducted according to the energy consideration by means of intelligent meta-heuristic algorithms (MHA). Adapted harmony search (HS) and simulated annealing algorithms (SA) are our proposing MHA to cope with this complex problem. The algorithms are also tuned by the Taguchi method with energy response target.

Keywords: Energy optimization; Flexible job shop scheduling problem; Dual-resource constraint (DRC) (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:sprchp:978-3-030-97940-9_122

Ordering information: This item can be ordered from
http://www.springer.com/9783030979409

DOI: 10.1007/978-3-030-97940-9_122

Access Statistics for this chapter

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