This paper discusses a class of interval alignment （IA） scheduling policies, which are particularly effective for the systems that do not have Markovian structure. The numerical results show that IA policies effecti...This paper discusses a class of interval alignment （IA） scheduling policies, which are particularly effective for the systems that do not have Markovian structure. The numerical results show that IA policies effectively smooth part flows, improve performance and decrease average Work-in-Process （WlP） by adding intermediate delays to the system, The boundary of IA policy is proven and the applications of IA policy in the system with multiple stream arrivals have been discussed. With the combination of release policy, it is practical to implement IA to multiple stream arrival system.展开更多
文摘This paper discusses a class of interval alignment （IA） scheduling policies, which are particularly effective for the systems that do not have Markovian structure. The numerical results show that IA policies effectively smooth part flows, improve performance and decrease average Work-in-Process （WlP） by adding intermediate delays to the system, The boundary of IA policy is proven and the applications of IA policy in the system with multiple stream arrivals have been discussed. With the combination of release policy, it is practical to implement IA to multiple stream arrival system.
