The Effect of the Coefficient of Variation of Operation Times on the Allocation of Storage Space in Production Line Systems

Analysis of production lines with Coxian service times and no intermediate buffers

“…We developed a simulation program in Simscript, and we conducted numerous simulation runs. For short lines (with up to six stations without intermediate buffers) we derived numerical results from a program developed by Rick So (see Hillier and So [9,10] for some numerical results obtained from this FORTRAN code). He developed the Markovian transition matrix and then solved the system of linear equations.…”

A parallel tabu search for solving the primal buffer allocation problem in serial production systems

“…A simple heuristic algorithm is proposed in Hillier and So [24] to estimate the buffer space in a production lines affected by failures, so that the buffer space is able to compensate for the negative effect of failures on the efficiency of the system. The same authors also study how the buffer allocation is affected by the variability of the processing time [23,24].…”

Operation Time Variability in Multi Product Unpaced Production Lines

“…He concluded that in order to maximize output, middle stations must have lower variability as compared to the station at the start and end of the line". "Reference [3], [4] studied the effects of coefficient of variation of operation times on the allocation of storage space and also proposed a heuristic for optimal allocation of buffers in longer lines". "Reference [5] analyzed longer lines having single and multiple bottleneck stations, with lognormal service time distribution and several mean processing time and operation variability bottleneck location configurations while employing algorithm and simulation.…”