[1]
Lubben, R.T., Just-In-Time Manufacturing 1988, New York: McGraw-Hill Book Comp.
Google Scholar
[2]
Józefowska, J., Just In Time scheduling "Models and Algorithms for Computers and Manufacturing Systems", ed. F. Hillier. 2007: Springer.
Google Scholar
[3]
Jerry Banks, J.C., Barry L. Nelson, David Nicol Discrete-Event System Simulation. 2005: Prentice Hall.
Google Scholar
[4]
Gebus, S., Martin, O., Soulas, A., and Juuso, E, Production Optimization on PCB Assembly Lines using Discrete Event Simulation. 2004, University of Oulu.
Google Scholar
[5]
Iraj Mahdavi, B.S., Maghsud Solimanpur, Development of a simulation based decision support system for controlling stochastic flexible job shop manufacturing systems. Simulation Modelling Practice and Theory, 2010. 18: p.19.
DOI: 10.1016/j.simpat.2010.01.015
Google Scholar
[6]
Hwang, C., and Yoon, K, Multiple Attribute Decision-Making - Methods and Applications: A State of the Art Survey. 1981: Springer-Verlag.
Google Scholar
[7]
Zeleny, M., Multiple Criteria Decision-Making: Studies in Management Science. 1977: North-Holland Publishing Company.
Google Scholar
[8]
Rivkin, S.a.T., J, The Power of Simplicity. 1998, New Yurk: McGraw-Hill.
Google Scholar
[9]
Savsar, M., Simulation analysis of maintenance policies in just-in-time production systems. International Journal of Operations & Production Management, , 1997. 17 (3): p.11.
DOI: 10.1108/01443579710159897
Google Scholar
[10]
Huang, P.Y., Rees, L.P., Taylor , B.W., A simulation analysis of the Japanese just-in-time technique (with kanbans) for a multi-line, multi-stage production system". Decision Sciences, 1983. 45.
DOI: 10.1111/j.1540-5915.1983.tb00189.x
Google Scholar
[11]
Sarker, B.R., Simulating a just-in-time production system Computers Industrial Engineering, 1989. 16(1): p.37.
Google Scholar
[12]
Sarker B.R., H.R.D., The effect of imbalance in a just-in-time production system: a simulation study. International Journal of Production Research, 1988. 26 (1): p.18.
Google Scholar
[13]
Y.G. Sandanayake, C.F.O., D.G. Proverbs, A systematic modelling and simulation approach for JIT performance optimisation. Robotics and Computer-Integrated Manufacturing, 2008. 24 p.9.
DOI: 10.1016/j.rcim.2008.03.013
Google Scholar
[14]
Tung-Hsu Hou, W.C.H., An integrated MOGA approach to determine the Pareto-optimal kanban number and size for a JIT system. Expert Systems with Applications 2011. 38 p.7.
DOI: 10.1016/j.eswa.2010.11.032
Google Scholar
[15]
Loknath Sriparavastu, T.G., An empirical study of just-in-time and total quality management principles implementation in manufacturing firms in the USA. International Journal of Operations & Production Management, , 1997. 17 (12): p.18.
DOI: 10.1108/01443579710182954
Google Scholar
[16]
Chi Anh Phan, Y.M., Comparative study on the relationship between just-in-time production practices and operational performance in manufacturing plants. Journal of Operation Management Research, 2010. 3: p.15.
DOI: 10.1007/s12063-010-0040-4
Google Scholar
[17]
F. Estrada, J.R.V., L. Roderick, Evaluation of Just-In-Time alternatives in the electric wire-harness industry International Journal of Production Research,, 2008. 35(7): p.16
DOI: 10.1080/002075497195038
Google Scholar
