Determining Equipment Criticality Criteria and Resistive Maintenance Assessment Questions | Revista Publicando
Determining Equipment Criticality Criteria and Resistive Maintenance Assessment Questions
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Safar, & Seyed Mohammad. (2018). Determining Equipment Criticality Criteria and Resistive Maintenance Assessment Questions. Revista Publicando, 5(15(2), 752-774. Recuperado a partir de https://revistapublicando.org/revista/index.php/crv/article/view/1397

Resumen

Based on their mission and vision, companies choose different indicators to measure their performance. Indicators that are important in the oil, gas, refining and petrochemical industries include safety, health, environment, energy, production, quality, cost, income, exports, stress, risk, maintainability, reliability, availability, replacement cost, commitment, motivation, and profitability. The actual situation assessment and comparison with the target indicators allows identification and analysis and plan the required necessary refining actions. Assessment and control are one of the stages of roadmap for continuous improvement.   In this paper 1- Based on key indicators of determining the sensitivity of equipment and their coefficients by Delphi method and the questionnaire and classification of critical equipment in Tabriz petrochemical industry based on it.2- Performing RCM stages on four critical equipment. 3- Looking at maintenance from the perspective of Balance Score Card(BSC). 4- Developing assessment and interview questions based on the resistive maintenance model (Number of questions is 130), the number of questions varies based on the experiences of assessors, the type of activity, and the size of the organization.

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Citas

Purohit ,B.S. and Lad,B.K.(2016). Production and maintenance planning,Int.J.Adv.Manuf.Techno.,Springer-Verlag ,London

Stevens,B.( 2017).Continuous Maintenance Improvement Roadmap, 12th ICPAM-IPAMC,14-15 November 2017,Tehran,Iran

Wireman,T. (2004).Benchmarking best practices in maintenance, Industrial press Inc. New York, USA, 208-225

Hen X et al.( 2015).An Integrated Model of production scheduling and Maintenance planning, Maintenance and Reliability,17(1) pp. 70-79

Shasfand,S., (2017).OEE & Reliability in Petrochemical industries,12th ICPAM-IPAMC,14-15 November 2017,Tehran,Iran

Carazas F.J.G, et.al.(2009).Availability Analysis of Gas turbine used in power plant, Int. j. of Thermodynamics. 12, 1,pp 28-38.

Assaf S A., et.al.( 2014). Performance evaluation and benchmarking for ”… at Petrochemical corporation using a DEA model, Int. J adv. Manuf. Technol., Springer, London

Sivaram,N.M.,et.al.(2013).Implementing-total-productive maintenance through the ISO9001:2008,SAJIE, vol24(2)pp33

Stecki JS et al .(2014). The rise and fall of CBM, KEM vol.588(2014) pp 290 -301

Al-Najjar B.(2012).On establishing Cost – effective Condition –based Maintenance , JQME ,Vol. 18 Issue. 4 pp401-416

O”™Hanlon,T.(2005).Computerized Maintenance Management,CMRP,www.reliabilityweb.com

Pascual,D.G. and Kumar U.(2016). Maintenance Audit Hand book, CRC-Press

Moscheto A. D. et al.( 2017). Space claim analysis for addressing maintenance of key component in complex product, Assembly Automation, Vol37, issue: 1, pp.71-83

Simoes, J.M., et.al.(2011).A literature review of maintenance performance measurement, QME, 17, 2, pp116-137

Chattopadhyaya P.K. et al.(2016). Quantified Risk Ranking Model for Condition –Based Risk and Reliability Centered Maintenance , J.Inst.Eng.,India Ser.C ,

API, (2016). RP 580-Risk Based Inspection,3th Edition,(ANSI-API)

Gupta A.K., Gary R.K.(2012).OEE improvement by TPM implantation a case study, IJIEASR, volume 1, No. 1,

Tewari,A., Rawat,E.(2017).Total Productive Maintenance , IJRASET, Vol. 5, I4,pp406-410

Campbell, JD. (1995).Up-Time, Strategic for Excellent in maintenance Management, Productivity Press, Canada

Shasfand, S.(2017).Resistive Maintenance, 11th CMFD, JPC, 20-21 February 2017, Assalouyeh, Iran

SeyedHosseini ,et al.(2016).Increasing reliability and availability in a gas turbine generator by using RCM,13th conference on CM & MFPT, Paris,France

Kaplan, R.S., Norton, D.P.(1996).Linking the balanced score card to Strategy. California Management Review,Vol.39 No.1,pp53-79

Gram,M.(2013).Equipment Efficiency metrics in production system,TMKSM, Serbia.

Qingfeng W. et al.(2011). Development and Application of equipment maintenance and safety integrity management system, JLPPI 24,pp321-332

Charaf, K, Ding, H. (2015). Is overall Equipment effectiveness (OEE) universally Applicable, International journal of Economics and Finance, Vol.7, No.2.

Raguram R.(2014).Implementation of OEE, Middle East Journal of scientific Research 20 (5), pp567-576.

Kronos (2007).Overall labor Effectiveness (OLE), kronos Incorporated , USA

Roda I & Garetti M.(2015). Application of Performance –driven total cost of owner ship (TCO) evaluation model for physical asset management, 10.1007/978-3-319-1556-4-2, Springer.

Zuashkiani, A.,et.al.(2011).Methodology and theory mapping the dynamics of OEE, JQME, 17, 1, pp74-92.

EFQM, (2008).efqm-user guide-v1,www.efqm.org,Belgium

Irma-award,(2017). www.irma-award.ir

IR-HRM, (2017). www.hrsociety.ir

Pam-award,(2017). www.pamaward.ir

Lindberg, C. F., et.al. (2015). Key performance indicators improve industrial performance, ICAE, Energy procedia 75, pp1785-1790.

Kermani, B., Xiao, M., Stoffels, S. M., and Qiu, T. (2017). Measuring the migration of subgrade fine particles into subbase using scaled accelerated flexible pavement testing–a laboratory study. Road Materials and Pavement Design, 1-22. DOI: 10.1080/14680629.2017.1374995.

Kermani, B., Xiao, M., Stoffels, S. M., and Qiu, T. (2018). Reduction of subgrade fines migration into subbase of flexible pavement using geotextile. Geotextiles and Geomembranes, Vol 4, Issue 4, pp.377-383.

EFQM,(2012).RADAR LOGIC,www.efqm.org/efqm-model/radar-logic

Shasfand ,S., SeyedHosseini,S.M.(2016).Enlightening Resistive Production, MCSER, 7, 4, S2. pp82-89

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