Manufacturing system modeling for productivity improvement

Huang, Samuel H.; Dismukes, John P.; Shi, Jingping; Su, Qi; Wang, Ge; Razzak, Mousalam A.; Robinson, Derek

doi:10.1016/s0278-6125(02)80165-0

Cited by 85 publications

(46 citation statements)

References 16 publications

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“…The under laying concept behind simulation is that manufacturing systems can be treated as a combination of a number of simple subsystems, which in turn are the combination of individual production equipments (Huang, 2002). Productivity metrics are then integrated in the model to measure system performance and help identify productivity improvement opportunities.…”

Section: Overall Factory Effectiveness (Ofe)mentioning

confidence: 99%

Performance measurement using overall equipment effectiveness (OEE): literature review and practical application discussion

Muchiri

Pintelon

2008

International Journal of Production Research

374

266

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Section: Overall Factory Effectiveness (Ofe)mentioning

confidence: 99%

Performance measurement using overall equipment effectiveness (OEE): literature review and practical application discussion

Muchiri

Pintelon

2008

International Journal of Production Research

374

266

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“…Bravoco and Yadav (1985); Ross (1985) Structured Analysis and Design Technique (SADT) Marca and McGowan (1988); Ross and Schoman (1977); Ross (1985); Santarek and Buseif (1998) However, these modeling techniques are not designed to facilitate productivity measurement and analysis. Rather they focus on the availability of the unit/equipment, which is only one aspect of the system performance (Huang et al, 2002). Taninecz (2004a) reports a summary of IW/MPI Census plants' progress towards achieving world-class manufacturing status from enterprises across USA.…”

Section: Literature Reviewmentioning

confidence: 99%

A Continuous Improvement and Monitoring Performance System: Monitor - Analysis - Action – Review (MAAR) Charts

Romaniello¹,

Renna²,

Cinque³

2011

IBIMABR

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The research presented in this paper concerns the development of a methodology for monitoring and continuous performance improvement. The proposed approach is derived from the classical Deming cycle adapted to a real industrial environment. The approach consists of four phases: Monitor, Analysis, Action and Review (MAAR); these phases are summarized in a single information panel that allows to improve the monitoring process. This paper presents a discussion of the real case study application of the methodology in area manufacturing of ANSALDO STS S.p.A. The case study discussed here shows the application of basic principles, management tools and techniques towards performance improvement in a manufacturing plant. The innovative issues of the MAAR approach developed regard: the possibility to apply the methodology to wide fields of enterprises (as maintenance, quality management, design, financial, etc.) and the real-manufacturing orientation. The results show the real benefits obtained by the implementation of the proposed methodology.

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“…They concluded that different management approaches result in different performances. Huang (2002) developed an approach based on overall equipment effectiveness (OEE) to model the productivity of a manufacturing system in terms of overall throughput effectiveness (OTE). Sensitivity analysis and theory of constraints are used to help identify productivity improvement opportunities.…”

Section: Fig1 Productivity Cyclementioning

confidence: 99%

Selection of productivity improvement techniques via mathematical modeling

Khater¹,

Mostafa²

2011

msl

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This paper presents a new mathematical model to select an optimal combination of productivity improvement techniques. The proposed model of this paper considers four-stage cycle productivity and the productivity is assumed to be a linear function of fifty four improvement techniques. The proposed model of this paper is implemented for a real-world case study of manufacturing plant. The resulted problem is formulated as a mixed integer programming which can be solved for optimality using traditional methods. The preliminary results of the implementation of the proposed model of this paper indicate that the productivity can be improved through a change on equipments and it can be easily applied for both manufacturing and service industries.

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Manufacturing system modeling for productivity improvement

Cited by 85 publications

References 16 publications

Performance measurement using overall equipment effectiveness (OEE): literature review and practical application discussion

Performance measurement using overall equipment effectiveness (OEE): literature review and practical application discussion

A Continuous Improvement and Monitoring Performance System: Monitor - Analysis - Action – Review (MAAR) Charts

Selection of productivity improvement techniques via mathematical modeling

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