Modeling and Simulation of Holonic Meta-Algorithm in Scheduling Process Using PERT Technique − Optimization in Job Shop Scheduling Problem

2015 ◽  
Vol 760 ◽  
pp. 199-204
Author(s):  
Mircea Gorgoi ◽  
Corneliu Neagu

In generally scheduling can be viewed as optimization, bound by sequence and resource constrain and the minimization of the makespan is often used as the criterion. In this paper minimization of the makespan or complete time will be used such as an objective function and not the criterion of the decision. The new approach use heuristic elementary priority dispatch rules as the criterion of the decision. This research purpose a new methodology which use a specific elements of PERT techniques to find the optimum solution. New approach establish a solution's space where are find the all solution of the problem. Determination of the solution's space is realized by a meta-algorithm which take in account all the variant of the solutions of the process.

2013 ◽  
Vol 309 ◽  
pp. 350-357 ◽  
Author(s):  
František Koblasa ◽  
František Manlig ◽  
Jan Vavruška

Nowadays, production scheduling is a greatly debated field of operation research due its potential benefits for improving manufacturing performance. Production scheduling, however, despite the increasing use of APS (Advanced Planning and scheduling Systems) and MES (Manufacturing Enterprise Systems) is still underestimated and one frequently encounters more or less intuitive scheduling using excel spread sheets at workshop level, mainly in SME (Small and Medium Enterprises). Some of the main reasons for this are the complexity of related algorithms and the timespan of the optimization manufacturing operation sequence. The complexity of the algorithms usually leads to a number of operators which are difficult to set up for a usual workshop foreman or manufacturing planner. That is why dispatching rules are widely used in comparison with advanced heuristics, such as Evolution Algorithms (EA). Therefore, operation research should not focus only on getting the best values of the objective function by problem based operators, but also on industrial practice requirements such as operator simplicity and a low timespan of the optimization. This article briefly introduces key principles of the scheduling system developed for the Job Shop Scheduling Problem (JSSP) type of manufacturing. An implemented EA with random key representation, clone and incest control and chromosome repair algorithm is briefly explained. Further, the test results of the evolution operator (e.g. crossover and selection) are presented with respect to the value of the objective function and timespan of the optimization. The research goal is to develop a principle of automatic optimization using EA, where the single parameter to set is required optimization timespan.


2011 ◽  
Vol 21 (12) ◽  
pp. 3082-3093
Author(s):  
Zhu-Chang XIA ◽  
Fang LIU ◽  
Mao-Guo GONG ◽  
Yu-Tao QI

Sign in / Sign up

Export Citation Format

Share Document