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Avaliação da Complexidade da Modelagem Híbrida em Processos de Manufatura Flow Shop.
| Content Provider | Semantic Scholar |
|---|---|
| Author | Savia, Tiago Dela |
| Copyright Year | 2019 |
| Abstract | Computer simulation is considered one of the most powerful tools for decision making, as it can be used to analyze the operation of complex systems by testing hyphoteses and predicting its future behavior. One of simulation’s characteristics is its ability to reduce the complexity of real systems by representing them in the form of computer models. However, with the rise of manufacture processes themselves, computer models have become more and more complex with time, which can cause an impact on their accessibility and functionality. In the context of operations management there is a discussion regarding the applicability of agent based simulation (ABS), which started to gain popularity in the early 2000s, in contrast (and sometimes complementing each other) to discrete-event simulation (DES), which has been the most common practice in operations research for more than 40 years. This paper consists in a case study comparing the impact of hybrid simulation, called HS for short, (utilizing elements of “agents” in a discrete event model) on the complexity of simulation models, which represents flow shop manufacturing processes, developed in the simulation package Anylogic®. A framework was developed to measure the complexity of pairs of models, which consists, each pair, in a DES and a HS based model respectively, representing the same process by the two different approaches. The analysis showed that most models developed in hybrid simulation presented a bigger complexity, with the exception of one. The difference in complexity varied pair by pair, according to each case. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://repositorio.unifei.edu.br/xmlui/bitstream/handle/123456789/2008/dissertacao_2019103.pdf?isAllowed=y&sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
