Milk-run is a quantity variable material conveyance and replenishment method, either time-fixed or event-triggered. The system is more well-known in logistics research. The idea is derived from the milk delivery business. Following a specific route, a milkman delivers milk contained in bottles to his customers. Upon delivery, an empty milk bottle is collected. The application of this system is prominent in auto manufacturing companies to minimize inventory and transportation costs. For example, a delivery is made more efficient when items such as empty containers are returned to the source on the return trip. In manufacturing operations, this method is often adopted for the material handling of two nonadjacent processes. The relationship between the two processes is reciprocal. They both need output from each other. The form of output can be varied, such as material or instruction. A milk-run example can be given in Horbal, Kagan and Koch (2008) model. The milk-run system complements the designed pull system for high-mix production environments. Material handlers are responsible for collecting kanban cards and, at the same time, replenishing raw material to all the work cells. Milk-run has been reported to be suitable for repetitive production where the component type is seldom changed. The heijunka kanban system modeled by Matzka et al. (2009) involves milk-runs between customer and supplier. The supplier supplies parts based on the number of kanban cards received. Unsatisfied demands then have to wait until the next milk-run for the parts to be available. In a different scenario, Sadjadi, Jafari and Amini (2009) optimized milk-run operations with genetic algorithm by first modelling them as a mixed integer problem.
Milk-run is a quantity variable material conveyance and replenishment method, either time-fixed or event-triggered. The system is more well-known in logistics research. The idea is derived from the milk delivery business. Following a specific route, a milkman delivers milk contained in bottles to his customers. Upon delivery, an empty milk bottle is collected. The application of this system is prominent in auto manufacturing companies to minimize inventory and transportation costs. For example, a delivery is made more efficient when items such as empty containers are returned to the source on the return trip. In manufacturing operations, this method is often adopted for the material handling of two nonadjacent processes. The relationship between the two processes is reciprocal. They both need output from each other. The form of output can be varied, such as material or instruction. A milk-run example can be given in Horbal, Kagan and Koch (2008) model. The milk-run system complements the designed pull system for high-mix production environments. Material handlers are responsible for collecting kanban cards and, at the same time, replenishing raw material to all the work cells. Milk-run has been reported to be suitable for repetitive production where the component type is seldom changed. The heijunka kanban system modeled by Matzka et al. (2009) involves milk-runs between customer and supplier. The supplier supplies parts based on the number of kanban cards received. Unsatisfied demands then have to wait until the next milk-run for the parts to be available. In a different scenario, Sadjadi, Jafari and Amini (2009) optimized milk-run operations with genetic algorithm by first modelling them as a mixed integer problem.
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