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In this paper fuzzy set theory has been applied to discrete event simulation to model uncertainty in input data. Various approaches to fuzzy simulation have been proposed in literature, even if many problems are still to be solved. The key points are how to manage the simulation event list and how to update the fuzzy simulation clock. These two tasks are(More)
System capacity expansion is a strategic decision that firms have to face after the design of the system and during its running. In particular, the sector of hi-tech manufacturing is affected by unpredictable changes of part types and volume demand, which are difficult to formalize and estimate. In fact, it is difficult to forecast births and deaths of(More)
Manufacturing systems can be thought as production networks nodes whose relations have a strong impact on design and analysis of each system. One of the most common techniques to support these tasks is Discrete-Event Simulation. The state-of-the art commercial simulators are already adopted to analyze complex networked systems, but the development of a(More)
The paper proposes a new integrated approach for supporting firms in their decisions of dimensioning automated production systems. The problem is closely related to the performance evaluation of the system since discriminating indicators are necessary to rank different alternatives. Traditionally analytical methods and simulation have been used to evaluate(More)
Shortening product life cycles leads competing companies to continually realise new products or modifying the existing ones; this is one of the major issues in production system design. According to changes in product features, production systems need to be properly configured or reconfigured to efficiently tackle new production requirements. This paper(More)