Two-Machine Robotic Cell Scheduling with Controllable Inspection Times

Mehdi Foumani, Reza Tavakkoli-Moghaddam*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

2 Citations (Scopus)

Abstract

This paper considers the stochastic scheduling of a two-machine robotic cell with controllable inspection times. The inspection is performed by a multi-function robot which performs the inspection of the part in transit between two machines. The robot cannot complete the part transition if it identifies a fault in the part. Instead, when the robot detects the fault, it moves back the source machine to reload the part. A characteristic of the inspection is that its required time is changed by altering the inspection cost. This generates a trade-off between the cost of quality and the partial cycle time. Initially, the cost of quality and cycle times of different partial cycles are derived based on a geometric distribution, and then the optimization problem is solved. Two versions of the problem are employed to minimize the expected cycle time or the expected cost of quality according to the concern of decision makers.

Original languageEnglish
Title of host publicationProceedings of 2019 15th Iran International Industrial Engineering Conference, IIIEC 2019
EditorsMajid Shakhsi-Niaei
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages231-238
Number of pages8
ISBN (Electronic)9781728117751
DOIs
Publication statusPublished - 22 May 2019
Externally publishedYes
Event15th Iran International Industrial Engineering Conference, IIIEC 2019 - Yazd, Iran, Islamic Republic of
Duration: 23 Jan 201924 Jan 2019

Publication series

NameProceedings of 2019 15th Iran International Industrial Engineering Conference, IIIEC 2019

Conference

Conference15th Iran International Industrial Engineering Conference, IIIEC 2019
Country/TerritoryIran, Islamic Republic of
CityYazd
Period23/01/1924/01/19

Keywords

  • Controllable inspection times
  • Costs of quality
  • Robotic cells
  • Scheduling

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