Abstract
Most of the literature on just‐in‐time (JIT) production lines has focused on modelling the system into Markov‐chain. However, in practice, demands for products are known in a short planning horizon. Further, there is scarcity in the literature describing the dynamics and timing of material movements in JIT systems. Models a serial line into a discrete event dynamic system (DEDS) by a Max algebra approach incorporating the timing of material movements. Uses perturbation analysis to study the impact of parameter variation on the system performance. Compares the performances of push and pull systems using simulation analysis. The simulation results show that the pull system dominates the push system in lead time, in‐process inventories and stability of the production process.
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