Large production line optimisation using simulated annealing
نویسندگان
چکیده
We present a robust generalised queuing network algorithm as an evaluative procedure for optimising production line configurations using simulated annealing. We compare the results obtained with our algorithm to those of other studies and find some interesting similarities but also striking differences between them in the allocation of buffers, numbers of servers, and their service rates. While context dependent, these patterns of allocation are one of the most important insights which emerge in solving very long production lines. The patterns, however, are often counter-intuitive, which underscores the difficulty of the problem we address. The most interesting feature of our optimisation procedure is its bounded execution time, which makes it viable for optimising very long production line configurations. Based on the bounded execution time property, we have optimised configurations of up to 60 stations with 120 buffers and servers in less than five hours of CPU time.
منابع مشابه
Sequencing Mixed Model Assembly Line Problem to Minimize Line Stoppages Cost by a Modified Simulated Annealing Algorithm Based on Cloud Theory
This research presents a new application of the cloud theory-based simulated annealing algorithm to solve mixed model assembly line sequencing problems where line stoppage cost is expected to be optimized. This objective is highly significant in mixed model assembly line sequencing problems based on just-in-time production system. Moreover, this type of problem is NP-hard and solving this probl...
متن کاملExplore: a Modular Architecture for Production Line Optimisation
The general design problem in serial production lines concerns the allocation of resources such as the number of servers, their service rates, and buffers given productionspecific constraints, associated costs, and revenue projections. We describe the design of exPLOre: a modular, object-oriented production line optimization decision support system. An abstract optimization module can be instan...
متن کاملIir Model Identification Using Batch-recursive Adaptive Simulated Annealing Algorithm
System identification using infinite-impulse-response (IIR) model is considered. Because the error surface of IIR filters is generally multi-modal, global optimisation techniques are preferred in order to avoid local minima. An efficient global optimisation method, called the adaptive simulated annealing (ASA), is adopted, and a new batch-recursive ASA algorithm is developed for on-line identif...
متن کاملAn Application of Optimisation for Passive RF Component Design
The solution of computational electromagnetic simulations is integral to the design process. As higher performance computers become more available, the application of optimisation techniques to reduce design times becomes more feasible. This paper presents the application of Parallel BFGS and Adaptive Simulated Annealing in minimising the transmission through a ceramic bead suppressor on a stra...
متن کاملPRODUCTION LINE BUFFER ALLOCATION: Genetic Algorithms Versus Simulated Annealing
We present and compare two stochastic approaches for solving the buffer allocation problem in reliable production lines. The problem entails the determination of near optimal buffer allocation plans in large production lines with the objective of maximizing their throughput. The allocation plan is calculated subject to a given amount of total buffer slots using simulated annealing and genetic a...
متن کامل