Fuzzy systems for control of flexible machines operating under information delays

Caprihan, Rahul; Kumar, Satish; Wadhwa, Subhash

doi:10.1080/002075497195353

Cited by 18 publications

(9 citation statements)

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“…Finally, the results for each ID mode clearly illustrate that suitably devised on-line scheduling strategies can effectively cope with the presence of information delays. For a similar study (that is, a single machine, two queue dynamic sequencing case), Caprihan, Kumar, and Wadhwa (1997) demonstrated the superiority of a fuzzy set theoretic based scheduling strategy over the AP strategy in dealing with Mode 2 information delays.…”

Section: Simulation Resultsmentioning

confidence: 93%

On the Consequences of Information Delays in the Scheduling of Semi-Automated Flexible Machines

Caprihan

Wadhwa

Kumar

2004

Int J Flex Manuf Syst

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Manufacturing systems with varying levels and types of flexibility employ alternative scheduling strategies to exploit flexibility for performance enhancement. Scheduling decisions in manufacturing systems are influenced by time delays due to information handling activities such as information collection, transfer, and processing. More specifically, scheduling strategies implicitly involve information intensive activities that may entail significant time delays for implementation, depending on the extant shop floor automation and integration within a flexible system. These are information delays and we believe that most contemporary flexible systems must inherently cope with some level of information delay when implementing on-line scheduling strategies. This paper conceptualizes the manifestation of information delays in the context of scheduling decisions within flexible systems through the definition of three key delay modes: (i) Mode 1 information-transfer delay; (ii) Mode 2 decision-implementation delay; and (iii) Mode 3 status-review delay. We then stress the need and importance of devising suitable on-line scheduling strategies for countering the effect of information delays by demonstrating the efficacy of a novel scheduling strategy on a single machine. While opening a new scheduling dimension with potential research ramifications, this paper highlights the fact that the concept of information delay can effectively capture the synergism issues related with flexibility, integration, and automation in the context of scheduling decisions within semi-automated flexible systems.

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Section: Simulation Resultsmentioning

confidence: 93%

On the Consequences of Information Delays in the Scheduling of Semi-Automated Flexible Machines

Caprihan

Wadhwa

Kumar

2004

Int J Flex Manuf Syst

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“…For better results the decision to begin processing of "opportunity queue" or to cease the processing of "non-opportunity queue" should be the function of relative WIP value and relative gain achieved when switching from nonopportunity queue to opportunity queue. Details of relative opportunity gain (ROG) and relative WIP (RWIP) is given in Caprihan et al [20].…”

Section: Fuzzy Control Strategymentioning

confidence: 99%

“…Based on literature review and the characteristics of the system described in this article, there are numerous factors which may have an impact on the system performance [20][21][22]. As far as the problem discussed in Sect.…”

Section: Simulation Aspectsmentioning

confidence: 99%

An expert enhanced coloured fuzzy Petri net approach to reconfigurable manufacturing systems involving information delays

Kumar¹,

Kumar²,

Tiwari³

2005

Int J Adv Manuf Technol

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In today's competitive market, manufacturers need to quickly adapt to the changing demands of the customers. Reconfigurable manufacturing system (RMS) is a cost-effective system that can easily absorb frequent changes in product demands. In this article such a system is modelled using expert enhanced coloured fuzzy Petri net (EECFPN), which considers the demands of customers as a fuzzy parameter and vividly captures the reconfigurability aspect of RMS. A fuzzy control strategy (FCS) is proposed to deal with the information delays occurring during information transfer or decision implementation. After intensive computational experimentation, it has been found that FCS outperforms the alternative priority (AP) heuristic and it is considered an effective measure to deal with situations where considerable information delay is involved.

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“…Previous studies also introduced FAM to develop a fuzzy logic controller for ship path control (Parsons et al 1995). In addition, some studies used FAM to determine rock types from well-log signatures, and to cope with information delays for control of flexible machines (Chang et al 1997;Caprihan et al 1997). Some researchers used FAM to identify the most possible input waveform type for the recognition of power quality disturbances (Huang et al 2002).…”

mentioning

confidence: 98%

Using the fuzzy associative memory (FAM) computation to explore the R&D project performance

Chen

Chang

2008

Qual Quant

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Fuzzy systems for control of flexible machines operating under information delays

Cited by 18 publications

References 0 publications

On the Consequences of Information Delays in the Scheduling of Semi-Automated Flexible Machines

On the Consequences of Information Delays in the Scheduling of Semi-Automated Flexible Machines

An expert enhanced coloured fuzzy Petri net approach to reconfigurable manufacturing systems involving information delays

Using the fuzzy associative memory (FAM) computation to explore the R&D project performance

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