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Schedule evaluation in unstable manufacturing environments
Authors:Santiago Lopez de Haro   Stanley B. Gershwin  Donald B. Rosenfield  
Affiliation:a77 Massachusetts Avenue Building E40-315, Cambridge, MA 02139, USA;bDepartment of Mechanical Engineering at MIT, 77 Massachusetts Avenue Building 35-210, Cambridge, MA 02139, USA;cSloan School of Management at MIT, 77 Massachusetts Avenue Building E40-315, Cambridge, MA 02139, USA
Abstract:This paper provides a new approach to validate the feasibility of schedules of multiple-step mixed-model unstable manufacturing environments with different changeover times. Traditionally, continuous lines in a manufacturing process run the same sequence in order to minimize WIP inventory and lead time. Nevertheless, multiple reasons such as different product mixes or setup times can lead managers to run different sequences in continuous lines. Unfortunately, lack of reliability of supply and demand in these environments makes it difficult to manage product inventories and often leads to starvation due to the discoordination between the schedules of both lines. This approach is based on a new type of visual representation of schedules and an estimate the probability of starvation. It assumes stochastic supply and demand and a predefined schedule sequence based on batches of different sizes.
Keywords:Stochastic   Scheduling   Mixed-model   Manufacturing   Setup   Batch
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