Issues on Production Process Reliability Assessment – Review

• Autorzy: Chlebus M. , Werbińska-Wojciechowska S.

Identyfikatory

DOI

10.21008/j.2083-4950.2016.6.6.1

• Języki publikacji: EN

Abstrakty

EN

The paper discusses a problem of reliable performance of production processes. Reliability analyses of production systems regard considering many different factors and requirements. As a result, basic definitions connected with production system/process have been defined. Later, there has been also presented the literature review in reliability engineering, what gives the possibility to present a comparison analysis of known reliability models for production systems performance. Based on the presented literature summary, the multidimensional definition of production process reliability is developed with short example of its implementation possibilities. The work ends up with summary and directions for further research.

Słowa kluczowe

EN

production process; reliability assessment

• Wydawca: Publishing House of Poznan University of Technology
• Czasopismo: Research in Logistics & Production
• Rocznik: 2016
• Tom: Vol. 6, No. 6
• Strony: 481--497
• Opis fizyczny: Bibliogr. 56 poz., fig., tab.

Twórcy

autor

Chlebus M.

autor

Werbińska-Wojciechowska S.

• Department of Operation and Maintenance of Logistics, Transportation and Hydraulic Systems, Wroclaw University of Science and Technology, Wroclaw, Poland

Bibliografia

• 1. Ballou R.H. (2004), Business logistics/supply chain management, Pearson Education Inc., New Jersey.
• 2. Berg M., Posner M.J.M. & Zhao H. (1994), Production-Inventory Systems with Unreliable Machines, Operations Research, Vol. 42, No. 1, pp. 111–118.
• 3. Black J.T. (2007), Design rules for implementing the Toyota Production System, Internal Journal of Production Research, Vol. 45, No. 15, pp. 3639–3664.
• 4. Blanchard B.S. (2004), Logistics Engineering and Management (5th Ed), Upper Saddle River: Pearson Prentice Hall.
• 5. Blumenthal S., Greenwood J.A. & Herbach L.H. (1984), Series Systems and Reliability Demonstration Tests, Operations Research, Vol. 32, No. 3, Reliability and Maintainability, pp. 641–648.
• 6. Buzacott J.A. & Yao D.D. (1986), Flexible Manufacturing Systems: A Review of Analytical Models, Management Science, Vol. 32, No. 7, pp. 890–905.
• 7. Chakraborty S. & Ankiah B. (1989), Assessment of manufacturing system reliability: a case study, Journal of Operational Research Society, Vol. 40, No. 1, pp. 55–63.
• 8. Chen H. & Yao D.D. (1992), A Fluid Model for Systems with Random Disruptions, Operations Research, Vol. 40, Supplement 2: Stochastic Processes, pp. S239–S247.
• 9. Chlebus E. (2000), CAx computer technology in production engineering (in Polish), Scientific and Technical Publishing House, Warsaw.
• 10. Curtin K.M. (1959), A Monte Carlo approach to evaluate multimode system reliability Operations Research, Vol. 7, No. 6, pp. 721–727.
• 11. Dai W., Maropoulos P.G. & Zhao Y., (2015), Reliability modelling and verification of manufacturing processes based on process knowledge management, International Journal of Computer Integrated Manufacturing, Vol. 28, No. 1, pp. 98–111.
• 12. Davy J.A., White R.E., Merritt N.J. & Gritzmacher K. (1992), A Derivation of the Underlying Constructs of Just-in-Time Management Systems, The Academy of Management Journal, Vol. 35, No. 3, pp. 653–670.
• 13. de Maré J., & Rosander B. (1988), The Production Flow in the Motor Industry: A Case Study of Multistate Reliability Theory, Scandinavian Journal of Statistics, Vol. 15, No. 1, pp. 51–53.
• 14. Denardo E.V. & Lee T.Y.S. (1996), Managing Uncertainty in a Serial Production Line, Operations Research, Vol. 44, No. 2, pp. 382–392.
• 15. Denardo E.V. & Tang C.S. (1997), Control of a Stochastic Production System with Estimated Parameters, Management Science, Vol. 43, No. 9, pp. 1296–1307.
• 16. Dhillon B.S. (2006), Maintainability, Maintenance, and Reliability for Engineers, CRC Press, United States of America.
• 17. Dhillon B.S., (2005), Reliability, Quality, and Safety for Engineers, CRC Press, United States of America.
• 18. Elsayed E.A. (2000), Perspectives and challenges for research in quality and reliability engineering, International Journal of Production Research, Vol. 38, No. 9, pp. 1953–1976.
• 19. Filus J. (1986), A Problem in Reliability Optimization, The Journal of the Operational Research Society, Vol. 37, No. 4, pp.407–412.
• 20. Głowacka-Fertsch D. & Fertsch M. (2004), Production management (in Polish), Poznań School of Logistics, Poznań.
• 21. Graves T.L., Anderson-Cook C.M. & Hamada M.S. (2010), Reliability Models for Almost-Series and Almost-Parallel Systems, Technometrics, Vol. 52, No. 2, pp. 160–171.
• 22. Gulati R., Kahn J. & Baldwin R. (2010), The professional's guide to maintenance and reliability terminology, Fort Myers : Reliabilityweb.com.
• 23. Hamrol A. (2015), Strategies and practices of efficient performance (in Polish), PWN Publishing House, Warsaw.
• 24. Hosford J.E. (1960), Measures of Dependability, Operations Research, Vol. 8, No. 1, pp. 53–64.
• 25. Inman R.R., Blumenfeld D.E., Huang N., Li J. & Li J., (2013), Survey of recent advances on the interface between production system design and quality, IIE Transactions, Vol. 45, pp. 557–574.
• 26. Iravani S.M.R., Duenyas I. & Olsen T.L. (2000), A Production/Inventory System Subject to Failure with Limited Repair Capacity, Operations Research, Vol. 48, No. 6, pp. 951–964.
• 27. Jain A., Jain P.K., Chan F.T.S. & Singh S. (2013), A review on manufacturing flexibility, International Journal of Production Research, Vol. 51, No. 19, pp. 5946–5970.
• 28. Jodejko-Pietruczuk A., Nowakowski T. & Werbińska-Wojciechowska S. (2013), Issues of multi-stated logistic support system performing in a system of systems In proc. of Carpathian Logistics Congress, CLC' 2013, Cracow, Poland, December 9th-11th 2013, Tanger, Ostrava.
• 29. Jodejko-Pietruczuk A. & Plewa M. (2014), Components' rejuvenation in production with reused elements, International Journal of Performability Engineering, 10(6), pp. 567–575.
• 30. Kao C. (2012), Efficiency decomposition for parallel production systems, The Journal of the Operational Research Society, Vol. 63, No. 1, pp. 64–71.
• 31. Lee H.L. & Rosenblatt M.J. (1987), Simultaneous determination of production cycle and inspection schedules in a production system, Management science, Vol. 33, No. 9, pp. 1125–1136.
• 32. Lefkowitz I. (1977), Integrated Control of Industrial Systems, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences, Vol. 287, No. 1346, A Discussion on the Use of Operational Research and Systems Analysis in Decision- Making, pp. 443–465.
• 33. Li J., Meerkobv S.M. & Zhang L. (2013), Production systems engineering: main results and recommendations for management, International Journal of Production Research, Vol. 51, Nos. 23-24, pp. 7209–7234.
• 34. Lin Y.-K. & Chang P.-Ch., (2013), Reliability assessment for a stochastic manufacturing system with reworking actions, Journal of the Chinese Institute of Engineers, Vol. 36, No. 3, pp. 382–390.
• 35. Lin Y.-K. & Chang P.-Ch., (2012), System reliability of a manufacturing network with reworking action and different failure rates, International Journal of Production Research, Vol. 50, No. 23, pp. 6930–6944.
• 36. Liwowski B. & Kozłowski R. (2007), Main issues of production management (in Polish), Wolters Kluwer SA, Warsaw.
• 37. Lodding H., Nyhuis P., Schmidt M. & Kuyumcu A. (2014), Modelling lateness and schedu-le reliability: how companies can produce on time, Production Planning and Control, Vol. 25, No. 1, pp. 59–72.
• 38. Louit D., Pascual R., Banjevic D. & Jardine AKS. (2011), Optimization models for critical spare parts inventories — a reliability approach, The Journal of the Operational Research Society, Vol. 62, No. 6, pp. 992–1004.
• 39. Mayne A.J. (1960), Some Reliability Models of Production Lines, with Special Reference to Computer Operation and Scheduling, OR, Vol. 11, No. 1/2, pp. 16–30.
• 40. Mazurczak J. & Gania I. (2011), Object specialization parameters of production systems, Fertsch M. (Ed.), Production systems – Selected Issues – Theory and Practice, Publishing House of Poznan University of Technology, Poznan, pp. 85–96.
• 41. Meyer R.R., Rothkopf M.H. & Smith S.A. (1979), Reliability and Inventory in a Production-Storage System, Management Science, Vol. 25, No. 8, pp. 799–807.
• 42. MIL-HDBK_502 (1997), Defense Handbook: Acquisition Logistics., Washington D.C.: Department of Defense.
• 43. Moinzadeh K. & Aggarwal P. (1997), Analysis of a Production/Inventory system subject to random disruptions, Management Science, Vol. 43, No. 11, pp. 1577–1588.
• 44. Moinzadeh K. & Klastorin T.D. (1995), Measuring the Impact of a Delay Buffer on Quality Costs with an Unreliable Production Process, Management Science, Vol. 41, No. 3, pp. 513–523.
• 45. Mondal S.C., Ray P.K. & Maiti J. (2014), Modelling robustness for manufacturing process: a critical review, International Journal of Production Research, Vol. 52, No. 2, pp. 521–538.
• 46. Nowakowski T. (2006), Analysis of possibilities of logistic system reliability assessment, In proc. symp.: ESREL 2006 Conference. Estoril, 18-22 September 2006. Estoril: Balkema.
• 47. Nowakowski T. (2011), Dependability of logistic systems (in Polish), Publishing House of Wroclaw University of Science and Technology, Wroclaw.
• 48. Pająk E. (2006), Production management (in Polish), Publishing House of PWN SA, Warsaw.
• 49. Pan W. & So K.C. (2010), Optimal Product Pricing and Component Production Quantities for an Assembly System Under Supply Uncertainty, Operations Research, Vol. 58, No. 6, pp. 1792–1797.
• 50. Plewa M. (2009), Assessment of influence of products' reliability on remanufacturing pro-cesses, International Journal of Performability Engineering, 5(5), pp. 463–470.
• 51. Rao R.H. & Lingaraj B.P. (1988), Expert Systems in Production and operations management: Classification and Prospects, Interfaces, Vol. 18, No. 6, pp. 80–91.
• 52. Savage G.J. & Carr S.M. (2001), Interrelating Quality and Reliability in Engineering Systems, Quality Engineering, Vol. 14, No. 1, pp. 137–152.
• 53. Tsarouhas P. (2012), Reliability, availability and maintainability analysis in food produc-tion lines: a review, International Journal of Food Science and Technology, Vol. 47, pp. 2243–2251.
• 54. Tsou J-C. & Chen J-M. (2005), Dynamic model for a defective production system with Poka-Yoke, Journal of the Operational Research Society, Vol. 56, pp. 799–803.
• 55. Tubis A. (2010), The Potentials in the Integration of Planning Enterprise Activity, Logistics and Transport, vol. 1/2010, pp. 105–113.
• 56. Ważyńska-Fiok K. & Jaźwiński J. (1990), Technical system dependability (in Polish), PWN, Warsaw.