2000
DOI: 10.1016/s0925-5273(99)00072-9
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Future production systems: Influence of self-organization on approaches to quality engineering

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Cited by 18 publications
(8 citation statements)
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“…Note, however, that, contrary to the waiting time criterion to be studied in the present paper and which mostly characterizes leisure and hospitality systems, the HB features in Erramilli and Forys (1991), Kumara et al (2003) and Surana et al (2005) Wycisk et al (2008). The actual impact of decentralized management and of the resulting self-organization on process and product quality is addressed in Massotte and Bataille (2000). In close connection to actual production issues, let us also mention the recent contributions devoted to RealTime Queueing Systems (RTQS) (Baldwin et al, 2000;Doytchinov et al, 2001;Lehoczky, 1997).…”
Section: Introductionmentioning
confidence: 79%
“…Note, however, that, contrary to the waiting time criterion to be studied in the present paper and which mostly characterizes leisure and hospitality systems, the HB features in Erramilli and Forys (1991), Kumara et al (2003) and Surana et al (2005) Wycisk et al (2008). The actual impact of decentralized management and of the resulting self-organization on process and product quality is addressed in Massotte and Bataille (2000). In close connection to actual production issues, let us also mention the recent contributions devoted to RealTime Queueing Systems (RTQS) (Baldwin et al, 2000;Doytchinov et al, 2001;Lehoczky, 1997).…”
Section: Introductionmentioning
confidence: 79%
“…Ref. [28] defines self-organization as the integration of autonomy and learning capabilities within autopoietic entities. The project manager is an autonomous and intelligent actor or agent whose behavior is not strictly programmed, nor perfectly definable a priori and it is not predictable.…”
Section: Project-based Fractal Management Unitmentioning
confidence: 99%
“…Hassan et al (2000) also point out the challenges of Kolarik's new paradigm, concluding that traditional quality tools appear to be insufficient to cope with advances in technology that support this paradigm, no longer being sufficient to handle emerging needs characterized by customized quality, low production quantity, automated processing, defect prevention at the design stage, and real-time monitoring/diagnosing and controlling of process variations. Massotte and Bataille (2000) argue that future production systems capable of producing many and rapidly changing product variants and product features have considerable implications for the methods and techniques used for monitoring and controlling quality. They consider that small batch manufacturing and imprecise data rule out the implementation of conventional statistical process control techniques and tools.…”
Section: Quality Challenges Of Mass Customisationmentioning
confidence: 99%