An Equilibrium Principle on the AON Network for Single-Machine Scheduling Problem with Time Lags

2010 ◽  
Vol 44-47 ◽  
pp. 3692-3696
Author(s):  
Chun Yue Yu ◽  
Xiao Chuan Luo

The NP-hard single-machine scheduling problem with time lags while minimizing the completion time could be described with an AON (Activity-On-Node) network. An equilibrium principle was discovered and proved on the AON network for single-machine scheduling problem. As a testing problem, plate hot rolling scheduling is a type of single-machine scheduling problem with time lags. For the scheduling problem, a nonlinear mathematic optimization model, which maximizes utilization of the rolling mill, was established based on the equilibrium principle and was solved by software LINGO. Computation examples demonstrated that the new method could solve effectively the single-machine scheduling problem with time lags by equilibrium principle on the AON network.

Mathematics ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 382 ◽  
Author(s):  
Yuri N. Sotskov ◽  
Natalja G. Egorova

We study a single-machine scheduling problem to minimize the total completion time of the given set of jobs, which have to be processed without job preemptions. The lower and upper bounds on the job duration is the only information that is available before scheduling. Exact values of the job durations remain unknown until the completion of the jobs. We use the optimality region for the job permutation as an optimality measure of the optimal schedule. We investigate properties of the optimality region and derive O ( n ) -algorithm for calculating a quasi-perimeter of the optimality set (i.e., the sum of lengths of the optimality segments for n given jobs). We develop a fast algorithm for finding a job permutation having the largest quasi-perimeter of the optimality set. The computational results in constructing such permutations show that they are close to the optimal ones, which can be constructed for the factual durations of all given jobs.


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