EconPapers    
Economics at your fingertips  
 

Interactive Scheduling for a Dual Resource Constrained Job Shop with Manual and Automated Work Units

Katsumi Morikawa (), Keisuke Nagasawa () and Katsuhiko Takahashi ()
Additional contact information
Katsumi Morikawa: Hiroshima University
Keisuke Nagasawa: Hiroshima University
Katsuhiko Takahashi: Hiroshima University

A chapter in Intelligent Engineering and Management for Industry 4.0, 2022, pp 25-34 from Springer

Abstract: Abstract Intractable problems in a job shop are studied. The shop is dual resource constrained and all workers are skilled and thus eligible to operate every machine. A worker may be able to move away from a machine that is in operation to support the process on another machine. This condition indicates that the operation of a job on a machine is composed of manual work units and automated work units. A manual work unit on a machine can be processed only when a worker is allocated to the unit. As the assigned working hours of workers involve break times, the manual work unit will be interrupted during a break. On the other hand, automated work units can be operated even during a break and outside working hours. In other words, automated work units can be scheduled without considering the presence of workers. Because of the availability of alternative machines, and other complicated factors, interactive scheduling is a practical and useful approach to generating an acceptable schedule. An interactive scheduling system tailored for the shop in focus is illustrated. Techniques that reduce the computational burden to improve the responsiveness and several remaining issues are discussed.

Date: 2022
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:978-3-030-94683-8_3

Ordering information: This item can be ordered from
http://www.springer.com/9783030946838

DOI: 10.1007/978-3-030-94683-8_3

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 ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-3-030-94683-8_3