Stochastic cycle time analysis in robotic cells

Kouroush Jenab, Kaveh Salehi-Gilani and Sareh Shafiei-Monfared

International Journal of Industrial and Systems Engineering, 2010, vol. 5, issue 2, 129-142

Abstract: The purpose of this study is to analyse the cycle time in a single part type robotic cell. The robotic cell is made up of several machines and a single gripper robot that loads, unloads the machines and moves the part between machines. The cell can be classified into flow- and open-shops based on the part sequence and robot move. When number of machine is increased, the cycle time analysis in a robotic cell can lead to an NP-complete problem, which remains a challenge in existing literature. In addition, the problem complication rise by having stochastic processing time in the cell. In this study, we have developed a formula for decrease (increase) structure that part processing sequence is based on decrease (increase) order of manufacturing process time. This leads to a virtual robotic cell, which its machines are virtually arranged in order of processing time regardless of their physical location. In addition, using flow-graph concept, a model is developed to calculate the cycle time of a robotic cell where the part processing time element is stochastic. This model provides parametric results for expected value of and variance of the cycle time, which can be used for evaluating the productivity of the scenarios.

Keywords: cellular manufacturing; cycle time; flow graph; flow shops; open shops; productivity analysis; robotic cells; manufacturing cells; virtual cells; processing time; productivity evaluation; robot handling. (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=30744 (text/html)
Access to full text is restricted to subscribers.

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:ids:ijisen:v:5:y:2010:i:2:p:129-142

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().