A number of identical machines operating in parallel are to be used to complete the processing of a collection of jobs so as to minimize the jobs ' makespan or flowtime. 111e amount of processing required to complete the jobs have known probability distributions. It has been established by several researchers that when the required amounts of processing are all distributed as exponential random variables, then tile strategy (LEPT) of always processing jobs with the longest expected1. \ strategy (SEPT) of always processing jobs with the shortest expected processing times minimizes the expected value of the flowtime. We prove f l processing times minimizes the expected value of the makespan, and th
This dissertation is concerned with developing optimal strategies for the scheduling of stochastic j...
We consider a non-preemptive, stochastic parallel machine scheduling model with the goal to minimize...
We consider a non-preemptive, stochastic parallel machine scheduling model with the goal to minimize...
A number of identical machines operating in parallel are to be used to complete the processing of a ...
A number of jobs are to be processed using a number of identical machines which operate in parallel....
We consider the problem of minimizing the expected makespan of n jobs with independent exponentially...
[[abstract]]We consider preemptive scheduling on parallel machines where processing times of jobs ar...
We study the problem of scheduling n given jobs on m uniform processors to minimize expected makespa...
The two-machine flowshop problem, where setup and removal times are independent from processing time...
We study stochastic scheduling on m parallel identical machines with random processing times. The co...
AbstractThis paper studies a dual of classical stochastic scheduling of parallel processor systems. ...
We consider preemptive scheduling on parallel machines where the number of available machines may be...
This paper is devoted to two types of stochastic scheduling problems, one involving a single machine...
We consider the problem to minimize the total weighted completion time of a set of jobs with individ...
[[abstract]]We consider preemptive scheduling on parallel machines where the number of available mac...
This dissertation is concerned with developing optimal strategies for the scheduling of stochastic j...
We consider a non-preemptive, stochastic parallel machine scheduling model with the goal to minimize...
We consider a non-preemptive, stochastic parallel machine scheduling model with the goal to minimize...
A number of identical machines operating in parallel are to be used to complete the processing of a ...
A number of jobs are to be processed using a number of identical machines which operate in parallel....
We consider the problem of minimizing the expected makespan of n jobs with independent exponentially...
[[abstract]]We consider preemptive scheduling on parallel machines where processing times of jobs ar...
We study the problem of scheduling n given jobs on m uniform processors to minimize expected makespa...
The two-machine flowshop problem, where setup and removal times are independent from processing time...
We study stochastic scheduling on m parallel identical machines with random processing times. The co...
AbstractThis paper studies a dual of classical stochastic scheduling of parallel processor systems. ...
We consider preemptive scheduling on parallel machines where the number of available machines may be...
This paper is devoted to two types of stochastic scheduling problems, one involving a single machine...
We consider the problem to minimize the total weighted completion time of a set of jobs with individ...
[[abstract]]We consider preemptive scheduling on parallel machines where the number of available mac...
This dissertation is concerned with developing optimal strategies for the scheduling of stochastic j...
We consider a non-preemptive, stochastic parallel machine scheduling model with the goal to minimize...
We consider a non-preemptive, stochastic parallel machine scheduling model with the goal to minimize...