Development of a wireless Plug&Lean system for improving manufacturing equipment diagnosis

Javier Santos (1) , Martha-Patricia Garcia (1) , Elizabeth Viles (1) , Mikel Arcelus (1) , Jon Uranga (1)

1 Industrial Management

Equipment efficiency can be measured and improved by the availability, performance and quality rates provided by the overall equipment effectiveness (OEE) metric. Because today's managers operate in a complex manufacturing scenario measurement systems play an important role in transforming data into decisions, and this task needs to be strengthened. Although sophisticated equipment and information technology systems are available, a methodology is required for understanding and managing data in order to make timely decisions regarding improvement; Thus, improvement needs to be supported by an easy to understand measurement system and a cutting-edge data-collecting technique. In order to assist not only managers and operators but also students and academia, this paper presents a Plug&Lean system supported by a core element, the Plug&Lean wireless device, based on Total Productivity Maintenance (TPM) and Lean methodology for providing a reliable diagnosis of the current state of equipment, to display graphical information about the equipment performance constraints towards to direct improvements activities. The aim of the plug and lean wireless device is to collect accuracy data with less effort from production equipment Two case studies are discussed to illustrate the applicability of the system.

Mots clés: Physical Sciences

Domaines: Sciences de l'ingénieur [physics]

Javier Santos, Martha-Patricia Garcia, Elizabeth Viles, Mikel Arcelus, Jon Uranga. Development of a wireless Plug&Lean system for improving manufacturing equipment diagnosis. International Journal of Computer Integrated Manufacturing, 2011, 24 (04), pp.338-351. ⟨10.1080/0951192X.2011.554874⟩. ⟨hal-00681223⟩