Open AccessProductivity tool for automated guided vehicles: OEE indicator perspective
Author(s) -
L C Ng Corrales,
María Pilar Lambán,
Jesús Royo,
Myriam Hernandez
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1193/1/012113
Subject(s) - overall equipment effectiveness , spare part , metric (unit) , productivity , measure (data warehouse) , automated guided vehicle , computer science , factory (object oriented programming) , performance indicator , process (computing) , automation , manufacturing engineering , reliability engineering , operations research , industrial engineering , operations management , engineering , data mining , artificial intelligence , business , mechanical engineering , programming language , marketing , economics , macroeconomics , operating system
Productivity is a measurement of the efficiency of the resources, constant changes in the environment promote that companies regularly measure their activities. This study aims to define a new metric based conceptually on the traditional OEE. The new indicator measures the efficiency of logistic equipment in this case a system of automated handling: automated guided vehicles (AGVs). The indicator was developed by parameterizing the variables and defining the losses found in the process. It was applied in a factory of car parts and spare parts, two AVGs were analyzed in two different routes. The new indicator was effectively adapted to measure the performance of a logistics equipment. The OEE agv results obtained are those expected by the company, although some authors value the indicator with a higher percentage. Also, the result has shown that a new route could be added for more efficient use of the two AGVs.