The Factory Physics for the Scheduling: Application to Footwear Industry

John Reyes, Darwin Aldas, Kevin Alvarez, Mario García, Mery Ruíz

2017

Abstract

In this paper, an analysis is made of variables such as inventory in process, cycle time and rate of production of salable units proposed in the theory of constraints and applied in a case study in the manufacture of safety footwear. The methodology used to evaluate these parameters is an experimental design with application of Plant Physics laws in a simulation scenario with PROMODEL. The results reflect that the optimum quantities of production for a cycle of work are achieved by adding 8.1% to the rate units that can be sold per unit of time and reducing cycle time by 6.5%. It was determined that to produce a transfer batch the inventory in process for each order hour is equivalent to 64% of the total of the units programmed for production based on the maximum capacity of the manufacturing system.

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Paper Citation


in Harvard Style

Reyes J., Aldas D., Alvarez K., García M. and Ruíz M. (2017). The Factory Physics for the Scheduling: Application to Footwear Industry . In Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-265-3, pages 248-254. DOI: 10.5220/0006403402480254


in Bibtex Style

@conference{simultech17,
author={John Reyes and Darwin Aldas and Kevin Alvarez and Mario García and Mery Ruíz},
title={The Factory Physics for the Scheduling: Application to Footwear Industry},
booktitle={Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2017},
pages={248-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006403402480254},
isbn={978-989-758-265-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - The Factory Physics for the Scheduling: Application to Footwear Industry
SN - 978-989-758-265-3
AU - Reyes J.
AU - Aldas D.
AU - Alvarez K.
AU - García M.
AU - Ruíz M.
PY - 2017
SP - 248
EP - 254
DO - 10.5220/0006403402480254