2011
DOI: 10.1109/tii.2010.2076291
|View full text |Cite
|
Sign up to set email alerts
|

Resource Allocation in Free-Choice Multiple Reentrant Manufacturing Systems Based on Machine-Job Incidence Matrix

Abstract: In this paper, we introduce machine-job incidence (MJI) matrix that can be obtained from Steward sequencing matrix and Kusiak machine-part incidence matrix. Methods for determination of structural properties of free-choice multiple reentrant systems (FMRF) are proposed and an explanation on how the content (number of active jobs) of those structures can be controlled. This paper gives a new method on how to determine if allocation of resources, in a form of repeatable sequences, gives stable system behavior. A… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
13
0

Year Published

2012
2012
2021
2021

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 23 publications
(13 citation statements)
references
References 29 publications
0
13
0
Order By: Relevance
“…This means P 1 ≥2ε+2δ+β 2 and P 2 ≥2ε+2δ+β 0 are feasibility conditions of S +w 1 +w 2 where R and w 1 +w 2 are not constant parts. We have: 2 +w 2 ) and w 2 = P 2 -(2ε+2δ+β 0 +R) (7) ↔w 1 +w 2 = P 1 -(2ε+2δ+β 2 ) (8) ↔R= max{0, P 2 +β 2 -(P 1 +β 0 )} (9) Optimizing three-machine MFRCs are complicated in comparison with two-machine ones. This is even more difficult when pick up scenario is no-wait.…”
Section: No-wait Pick Up Scenariomentioning
confidence: 99%
“…This means P 1 ≥2ε+2δ+β 2 and P 2 ≥2ε+2δ+β 0 are feasibility conditions of S +w 1 +w 2 where R and w 1 +w 2 are not constant parts. We have: 2 +w 2 ) and w 2 = P 2 -(2ε+2δ+β 0 +R) (7) ↔w 1 +w 2 = P 1 -(2ε+2δ+β 2 ) (8) ↔R= max{0, P 2 +β 2 -(P 1 +β 0 )} (9) Optimizing three-machine MFRCs are complicated in comparison with two-machine ones. This is even more difficult when pick up scenario is no-wait.…”
Section: No-wait Pick Up Scenariomentioning
confidence: 99%
“…Machine-job incidence (MJI) matrix, a novel tool for analysis and synthesis of manufacturing systems (MS), has been described in details in [14]. Here we give only short overview of MJI matrix and its usage in MS modeling.…”
Section: Machine-job Incidence Matrixmentioning
confidence: 99%
“…on resource allocation policy. MJI matrix, as modeling tool, provides design method for such policies [14] that can further be optimized [15], depending on structural properties of the system [16].…”
Section: Machine-job Incidence Matrixmentioning
confidence: 99%
See 1 more Smart Citation
“…After more of development, these AMSs become playing a significant performance in the development of advanced manufacturing and industry. and AMSs conform to the aims and requirements of informatization, globalization, and more technologies have been proposed, including manufacturing source and service modelling and encapsulation [11], [12], resource and service optimal allocation and scheduling [13]- [17], service workflow administration [18] [19], and supply series administration [20]. Now, information and advice technology-in special, the Internet and implanted systems technologies-is knowing agile improvement, which has given growth to a number of new technologies, such as cyber-physical systems (CPS), the Internet of thing (IoT).…”
Section: Introductionmentioning
confidence: 99%