Input Analysis in Simulation: A Case Study Based on the Variability in Manufacturing Lines

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Simulation is a powerful tool with acknowledged capabilities that has proved to be a valuable support instrument to decision making. In order to attain a proper representation from the system, it’s necessary to perceptively observe the system, to collect the data corresponding to the model’s input, and to perform an accurate analysis of the same data. The results and recommendations subsequent to the simulation are as legitimate as its modeling and inputs. In manufacturing systems build-to-order, that generates multiple products with identical characteristics and high levels of customization, the input analysis earns a vital role. On this article is proposed a methodology to deal with the variability inherent to systems, resorting to statistical inference methods: hypotheses testing. These methods are a vigorous tool on the analysis of data collected from the system. Furthermore, a case study based on a real manufacturing line will be presented, where the impact that the information inputted onto the model has in the simulation’s results shall be analyzed, regarding the processing lead time. In addition, the presented case study provides evidence of the two foremost pitfalls, referred by Law, which ought to be avoided. The usage of the mean towards a statistical distribution misleads the system’s analyst, whereas the normal distribution doesn’t accurately represent the processing times. An adequate replication of the variability over the manufacturing processes from the real system, throughout the probability’s distribution on an “off-line” simulation, comprises as a vital element to support decision making.
Original languageEnglish
Title of host publicationProceedings of the Eight International Conference on Management Science and Engineering Management (ICMSEM 2014)
Subtitle of host publicationFocused on Intelligent System and Management Science
EditorsJiuping Xu, Virgílio António Cruz-Machado, Benjamin Lev, Stefan Nickel
Place of PublicationHeidelberg, Berlin
PublisherSpringer Berlin Heidelberg
Pages465-477
VolumePart 3
ISBN (Electronic)978-3-642-55182-6
ISBN (Print)978-3-642-55181-9
DOIs
Publication statusPublished - 2014
Event8th International Conference on Management Science and Engineering Management, ICMSEM 2014 - Lisboa, Lisbon, Portugal
Duration: 25 Jul 201427 Jul 2014
Conference number: 8th
http://www.icmsem.org/past/201501/8.html

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer Berlin Heidelberg
Volume280
ISSN (Print)2194-5357

Conference

Conference8th International Conference on Management Science and Engineering Management, ICMSEM 2014
Abbreviated titleICMSEM 2014
CountryPortugal
CityLisbon
Period25/07/1427/07/14
Internet address

Keywords

  • Modeling and simulation
  • Manufacturing lines
  • Production variability
  • Statistics

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