A structured methodology to optimise throughput of production lines

References

• R. Moen and C. Norman. Evolution of the PDCA Cycle. The Asian Network for Quality Congress (ANQ 2009). September 15–19, Tokyo, Japan, 2009.
   Google Scholar
• E.M. Goldratt, J. Cox, and D. Whitford, The Goal: A Process of Ongoing Improvement, Vol. 2, North River Press, New York, 1992.
   Google Scholar
• A.C. Marquez, J. Gupta, and A.S. Heguedas, Maintenance policies for a production system with constrained production rate and buffer capacity, Int. J. Prod. Res. 41 (2003), pp. 1909–1926.10.1080/0020754031000123877
   Web of Science ®Google Scholar
• International Organization for Standarization, Asset Management – Management Systems. ISO 55001:2012, International Organization for Standarization, Prague, 2012.
   Google Scholar
• M. Rausand and A. Hyland, System Reliability Theory: Models, Statistical Methods, and Applications, Vol. 396, Wiley-Interscience, New Jersey, 2003.
   Google Scholar
• A. Jardine and A. Tsang, Maintenance, Replacement, and Reliability: Theory and Applications. CRC Press, LLC, Boca Raton, FL, 2013.
   Google Scholar
• K.B. Misra, Maintenance engineering and maintainability: An introduction, in Handbook of Performability Engineering, Springer, New Delhi, 2008, pp. 755–772.10.1007/978-1-84800-131-2
   Google Scholar
• W.Y. Yun, G. Park, and Y.J. Han, An optimal reliability and maintainability design of a searching system. Communications in Statistics-Simulation and Computation (just accepted).
   Google Scholar
• M. Moura and E.L. Droguett, Numerical approach for assessing system dynamic availability via continuous time homogeneous semi-Markov processes. Methodol. Comput. Appl. Probab., 12:431–449, 2010.10.1007/s11009-008-9114-2
   Web of Science ®Google Scholar
• Balbir S. Dhillon, Mining Equipment Reliability, Maintainability, and Safety, Springer, Ottawa, 2008.
   Google Scholar
• G. Sharma, T. Haukaas, R.A. Hall, and S. Priyadarshini, Bayesian statistics and production reliability assessments for mining operations, Int. J. Min. Reclam. Environ. 23 (2009), pp. 180–205.10.1080/17480930902916262
   Web of Science ®Google Scholar
• S. Gupta and J. Bhattacharya, Discrete Markov chains – An analytical tool for productivity analysis of surface mining systems, Int. J. Surf. Min. Reclam. Environ. 13 (1999), pp. 111–116.10.1080/09208119908944226
   Google Scholar
• G. Yuriy and N. Vayenas, Discrete-event simulation of mine equipment systems combined with a reliability assessment model based on genetic algorithms, Int. J. Min. Reclam. Environ. 22 (2008), pp. 70–83.10.1080/17480930701589674
   Google Scholar
• G. Levitin, S.H. Ng, R. Peng, and M. Xie, Reliability of systems subjected to imperfect fault coverage, in Stochastic Reliability and Maintenance Modeling, T. Dohi, T. Nakagawa, eds., Springer, London, 2013, pp. 159–177.
   Google Scholar
• I.D. Lins and E.L. Droguett, Redundancy allocation problems considering systems with imperfect repairs using multi-objective genetic algorithms and discrete event simulation, Simul. Model. Pract. Theory 19 (2011), pp. 362–381.10.1016/j.simpat.2010.07.010
   Web of Science ®Google Scholar
• R. Ganguli and S. Bandopadhyay, Expert system for equipment selection, Int. J. Surf. Min. Reclam. Environ. 16 (2002), pp. 163–170.10.1076/ijsm.16.3.163.7420
   Google Scholar
• A. Bozorgebrahimi, R.A. Hall, and M.A. Morin, Equipment size effects on open pit mining performance, Int. J. Surf. Min. Reclam. Environ. 19 (2005), pp. 41–56.10.1080/13895260412331326821
   Google Scholar
• L. Demir, S. Tunal, D.T. Eliiyi, and A. Lkketangen, Two approaches for solving the buffer allocation problem in unreliable production lines. Comput. Oper. Res. 40(10) (2013), pp. 2556–2563.
   Web of Science ®Google Scholar
• Y. Ouazene, H. Chehade, A. Yalaoui, and F. Yalaoui, Equivalent machine method for approximate evaluation of buffered unreliable production lines, in 2013 IEEE Workshop on Computational Intelligence In Production And Logistics Systems (CIPLS), IEEE, Singapore, 2013, pp. 33–39.
   Google Scholar
• Y. Dallery, R. David, and X.L. Xie, Approximate analysis of transfer lines with unreliable machines and finite buffers, IEEE Trans. Autom. Control 34(9) (1989), pp. 943–953.10.1109/9.35807
   Web of Science ®Google Scholar
• M.H. Burman, New results in flow line analysis, Ph.D. thesis, Massachusetts Institute of Technology, 1995.
   Google Scholar
• W.J. Kennedy, J. Wayne Patterson and L. Fredendall, An overview of recent literature on spare parts inventories, Int. J. Prod. Econ. 76 (2002), pp. 201–215.10.1016/S0925-5273(01)00174-8
   Web of Science ®Google Scholar
• D. Godoy, R. Pascual, and P. Knights, Critical spare parts ordering decisions using conditional reliability and stochastic lead time, Reliab. Eng. Syst. Safe. 119 (2013), pp. 199–206.10.1016/j.ress.2013.05.026
   Web of Science ®Google Scholar
• R. Kumar and U. Kumar, Service delivery strategy: Trends in mining industries, Int. J. Surf. Min. Reclam. Environ. 18 (2004), pp. 299–307.10.1080/1389526042000274926
   Google Scholar
• N. Shah, Process industry supply chains: Advances and challenges, Comput. Chem. Eng. 29 (2005), pp. 1225–1236.
   Web of Science ®Google Scholar
• R. Shah and P.T. Ward, Lean manufacturing: Context, practice bundles, and performance, J. Oper. Manage. 21 (2003), pp. 129–149.10.1016/S0272-6963(02)00108-0
   Web of Science ®Google Scholar
• K. Mishina and K. Takeda, Toyota Motor Manufacturing, Harvard Business School, Boston, 1992.
   Google Scholar
• C. Eroglu and C. Hofer, Lean, leaner, too lean? The inventory-performance link revisited, J. Oper. Manage. 29 (2011), pp. 356–369.10.1016/j.jom.2010.05.002
   Web of Science ®Google Scholar
• R. Pascual, D. Godoy, and D.M. Louit, Throughput centered prioritization of machines in transfer lines, Reliab. Eng. Syst. Safe. 96 (2011), pp. 1396–1401.
   Web of Science ®Google Scholar
• A. Gustafson, H. Schunnesson, D. Galar, and U. Kumar, The influence of the operating environment on manual and automated load-haul-dump machines: A fault tree analysis, Int. J. Min. Reclam. Environ. 27 (2013), pp. 75–87.10.1080/1755182X.2011.651371
   Web of Science ®Google Scholar
• A.R. Wijaya, J. Lundberg, and U. Kumar, Downtime analysis of a scaling machine, Int. J. Min. Reclam. Environ. 26 (2012), pp. 244–260.10.1080/17480930.2011.603515
   Web of Science ®Google Scholar
• S. Gupta, J. Maiti, R. Kumar, and U. Kumar, A control chart guided maintenance policy selection, Int. J. Min. Reclam. Environ. 23 (2009), pp. 216–226.10.1080/17480930902916478
   Web of Science ®Google Scholar
• P.F. Knights, Rethinking Pareto analysis: Maintenance applications of logarithmic scatterplots, J. Qual. Main. Eng. 7 (2001), pp. 252–263.10.1108/13552510110407041
   Google Scholar
• M.J. King, K.C. Sole, and W. Davenport, Extractive Metallurgy of Copper, Elsevier, Oxford, UK, 2011.
   Google Scholar
• John Moubray, RCM II: Reliability-Centered Maintenance. Industrial Press, Oxford, UK, 2001.
   Google Scholar