Title : 
Online parameter optimization for a multi-product, multi-machine manufacturing system
         
        
            Author : 
Dhingra, Jastej S. ; Blankenship, Gilmer L.
         
        
            Author_Institution : 
Syst. Res. Center, Maryland Univ., College Park, MD, USA
         
        
        
        
        
            Abstract : 
The authors develop an algorithm based on infinitesimal perturbation analysis for online optimization of a multiproduct service facility composed of a network of multiserver machines, modeled using multiclass M/M/m queues. Starting from the Robbins-Monro stochastic approximation method, they first develop an online, local optimization algorithm for a single multiserver machine. For the special case of Poisson arrivals and exponentially distributed service times in a multimachine network, local optimization at individual machines leads to global optimization of the overall network. Simulation results for a single machine are compared to the exact analytical results. The application of the methodology for optimization of a simple flexible manufacturing system is also presented
         
        
            Keywords : 
flexible manufacturing systems; perturbation techniques; production control; queueing theory; Poisson arrivals; Robbins-Monro stochastic approximation method; exponentially distributed service times; flexible manufacturing system; global optimization; infinitesimal perturbation analysis; local optimization algorithm; multi-machine manufacturing system; multiclass M/M/m queues; multiproduct service facility; multiserver machines; Algorithm design and analysis; Analytical models; Approximation algorithms; Approximation methods; Control systems; Cost function; Educational institutions; Flexible manufacturing systems; Manufacturing systems; Optimization methods; Queueing analysis; Stochastic processes;
         
        
        
        
            Conference_Titel : 
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
         
        
            Conference_Location : 
Tucson, AZ
         
        
            Print_ISBN : 
0-7803-0872-7
         
        
        
            DOI : 
10.1109/CDC.1992.371144