This paper considers simulation of truck dispatching system designs using maximum expected production of the truck-shovel system as the measure of perfommnce. Two methods are utilized, multiple comparisons with the best (MCB) and the combination of MCB and the variance reduction technique known as common random numbers (CRN). These two techniques are compared via simulation experiments.The results show that the combined procedure of MCB with CRN is the superior tool to reduce the total number of replications needed to ensure the specified probability of correct selection over the finite number of designing systems.In this case study, MCB with CRN reduces the variance by 29°/0 and the number of required replications by 48Y0. Also, the MCB with CRN procedure narrowed the confidence interval by 18°/0.
SiMPLE++ is an object-oriented simulation environment for modeling all types of manufacturing, logistics and service systems. AESOP's SiMPLE++ is a t%lly object-oriented implementation and uses a unique simulation modeling paradigm that increases the value of modeling through reusability and connectivity while leveraging object-oriented concepts for modeling efficiencies.SiMPLE++ has been linked with a wide variety of other decision support software. In addition, a number of simulation application libraries are available. Together, these create a highly efficient, highly flexible tool for simulation and support of a number of simulation-based manufacturing, scheduling, logistics, staffig and maintenance support applications.
This paper presents an application of discrete-event simulation in modeling a supply-chain for consumer products. Optimization of the simulation model provides an efficient way to produce operating recommendations from the model. The use of ProModel and SimRunner in this application describes a modeling and optimization software suite which can be used for supply-chain planning and operation.
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