Productivity Analysis of Micro-Trenching Using Simphony Simulation Modeling

Micro-Trenching Vertical Inlaid Fiber (VIF) Surface Micro Cable Inlay (SMCI) Productivity Analysis Simphony Simulation Fibre to the Home (FTTH) Productivity Improvement Installation Depth Cold Weather Condition.

Authors

  • Hediyeh Vaseli
    vaseli@ualberta.ca
    MSc Student, Department of Civil & Environmental Engineering, University of Alberta, T6G 1H9,, Canada
  • Leila Hashemian Assistant Professor, Department of Civil & Environmental Engineering, University of Alberta, 7-255 Donadeo Innovation Center of Engineering 9211 116th Street, Edmonton, T6G 1H9,, Canada
  • Alireza Bayat Professor, University of Alberta, Department of Civil & Environmental Engineering, 7-243 Donadeo Innovation Center of Engineering 9211 116th Street, Edmonton, T6G 1H9,, Canada

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Micro-trenching is an innovative method for installing fiber optic cable in residential areas and business districts which minimizes surface scarring and potential negative social and environmental impacts. This method has three major steps including cutting a narrow trench in the pavement, cable installation and trench backfilling. This paper discusses a Simphony simulation model of the micro-trenching procedure and analyzes its productivity. Brief descriptions of the micro-trenching method and two field installations used to validate the model are included. A simulation model was developed for two different installation depths of 7.6 and 23 cm using two different methods. To provide an estimation of project duration, the impact of weather conditions on micro-trenching productivity was also considered. The developed model can be used for what if scenarios and for predicting the outcomes, which may be useful for studying the procedure and verifying if any productivity improvement can be achieved. The results indicate that the influence of installation depth is more significant than the impact of weather conditions. Reducing installation depth from 23 cm to 7.6 could improve productivity up to 50% while cold weather condition can reduce productivity by 18.8%. The simulation model demonstrates that the productivity can be improved up to 16% by overlapping two steps during the installation process: starting the cleaning procedure when a portion of cutting is completed.

 

Doi: 10.28991/cej-2020-03091607

Full Text: PDF