Title :
A decision support tool for resource allocation in batch manufacturing
Author :
Nicholson, David K. ; Gunn, Bruce M. ; Nahavandi, Saeid
Author_Institution :
Intelligent Syst. Res. Lab, Deakin Univ., Geelong, Vic., Australia
Abstract :
A decision support tool for production planning is discussed in this paper to perform the job of machine grouping and labour allocation within a machining line. The production plans within the industrial partner have been historically inefficient because the relationship between the cycle times, the machine group size, and the operator´s utilisation hasn´t been properly understood. Starting with a simulation model, a rule-base has been generated to predict the operator´s utilisation for a range of production settings. The resource allocation problem is then solved by breaking the problem into a series of smaller sized tasks. The objective is to minimise the number of operators and the difference between the maximum and minimum cycle times of machines within each group. The results from this decision support tool is presented for the particular case study.
Keywords :
batch processing (industrial); batch production systems; decision support systems; production planning; resource allocation; batch manufacturing; decision support tool; job machine grouping; labour allocation; machining line; production planning; resource allocation; Batch production systems; Flexible manufacturing systems; Intelligent manufacturing systems; Machine intelligence; Machinery production industries; Machining; Predictive models; Production facilities; Production planning; Resource management; Production planning; batch manufacturing; decision support; resource allocation; simulation;
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9298-1
DOI :
10.1109/ICSMC.2005.1571609