A qualitative estimation of the influence of transport factors on the work efficiency

• Main Authors: Ene Alexandru, Anghel Daniel-Constantin
• Format: Article
• Language: English
• Published: EDP Sciences 2018-01-01
• Series: MATEC Web of Conferences
• Online Access: https://doi.org/10.1051/matecconf/201817808012

In this paper we make a qualitative estimation of the influence of transport factors on the work efficiency (labour yield). There will be three classes of influence: positive influence, no influence and negative influence. We take into account some transportation factors like the level of noise during the transport, the level of temperature (the thermic comfort), etc. We use a software simulated feed forward neural network in order to solve this classification problem. The network will divide the input data (values for the transport factors) into these three classes. The input data are stored in an XML file, and they are obtained from a questionnaire that was completed by people working in automotive industry. The results are both useful for the transport companies and for the industry managers.