DYNAS3: a dynamic scheduling system for job scheduling

1995 ◽  
Author(s):  
YaoXue Zhang ◽  
GuangJie Li ◽  
Shuo Di ◽  
Hua Cheng ◽  
KangFu Cheng
Keyword(s):  
Job Scheduling ◽  
Dynamic Scheduling ◽  
Scheduling System

Job Scheduling System using Fuzzy Logic Approach

2016 ◽  
Vol 42 (2) ◽  
pp. 77-85
Author(s):  
Odii J. N ◽  
Onwuama T.U ◽  
Okpalla C.L ◽  
Ejem A
Keyword(s):  
Fuzzy Logic ◽  
Job Scheduling ◽  
Scheduling System ◽  
Fuzzy Logic Approach ◽  
Logic Approach

Dual Resource Constrained Job Shop Dynamic Scheduling with Local Time Window

2014 ◽  
Vol 933 ◽  
pp. 708-713 ◽  
Author(s):  
Yuan Huang ◽  
Xiu Tian Yan ◽  
Jing Yao Li
Keyword(s):  
Local Time ◽  
Job Shop ◽  
Dynamic Scheduling ◽  
Time Window ◽  
Scheduling Algorithm ◽  
Resource Constrained ◽  
Dynamic Disturbance ◽  
Scheduling System ◽  
Scheduling Method ◽  
Disturbance Analysis

To solve the Dual Resource Constrained Job Shop Dynamic Scheduling Problem with heterogeneous workers (DRCJDSP-HW),a three-tier dynamic scheduling system including dynamic disturbance analysis, dynamic disturbance evaluation and dynamic scheduling method was constructed based on the idea of scheduling with local time window. To minimize the revision of old scheduling scheme in DRCJDSP-HW, a hybrid dynamic scheduling algorithm was proposed based on the chromosome reduction mechanism and the scheduling optimization of local job in stages. The outstanding application effect of the dynamic scheduling system and the hybrid dynamic scheduling algorithm were validated reducing the influence of dynamic disturbances effectively by simulation experiment at last.

scholarly journals Development of a dynamic scheduling system for flexible manufacturing systems

2021 ◽  
Author(s):  
Wence Sui
Keyword(s):  
User Interface ◽  
Simulation Model ◽  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Dynamic Scheduling ◽  
Solution Space ◽  
Search Method ◽  
Scheduling System ◽  
Related Data

A dynamic scheduling system for flexible manufacturing systems (FMSs) is developed. The system consists of an artificial intelligence scheduler (AIS), a simulation model, a database, and a user interface. The AIS is used to generate candidate schedules according to specified dispatching rules and to control the search depth based on the status of an FMS. The simulation model is utilized to evaluate candidate schedules. The user interface is used to manually generate candidate schedules and to facilitate communication between different modules so as to realize automatic scheduling. Schedule related data are stored in the database. A dispatching-rule-based approximation search method is employed, which can quickly converge on good areas of the solution space, and the search method is suitable for dynamic scheduling in FMSs. A hypothetic FMS is designed and an sample scheduling problem is used to demonstrate the mechanism of the scheduling system.

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