Abstract:
is information. Through discrete event simulation, the performance of the models is investigated and compared.
Machine summary:
In these experiments, we investigate whether the difference in order fulfillment systems has a significant effect on WIP inventories and product demand waiting time.
on the average product demand waiting time AWT in the case of s-6 (the Kanban system is indicated with +, the simultaneous ordering system with *, and the modified simultaneous ordering system with *, also the solid line refers to 0/8-???
Simultaneous relationship between the sum of average WIP inventories before and after production in all stages (TWIP) and the average product demand waiting time (AWT) in case ???-0/8; the results of all three systems with the same initial inventory are connected by a line.
Simultaneous relationship between the sum of average WIP inventories before and after production in all stages (TWIP) and the average product demand waiting time (AWT) in case ???-0/8.
Simultaneous relationship between the sum of average WIP inventories before and after production in all stages (TWIP) and the average product demand waiting time (AWT) in case ???-0/8; the results of all three systems are connected to each other by a line (the Kanban system is indicated with the + sign, the simultaneous ordering system with the ..
Simultaneous relationship between the sum of average WIP inventories before and after production in all stages (TWIP) and the average product demand waiting time (AWT) in case ???-0/8; the results of all three systems are connected to each other by a line (the Kanban system is indicated with the + sign, the simultaneous ordering system with the * sign, and the modified simultaneous ordering system with the * sign.