TY - JOUR
T1 - Development of a new kpi for the economic quantification of six big losses and its implementation in a cyber physical system
AU - Morella, Paula
AU - Lambán, María Pilar
AU - Royo, Jesús
AU - Sánchez, Juan Carlos
AU - Latapia, Jaime
N1 - Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2020/12/21
Y1 - 2020/12/21
N2 - The purpose of this work is to develop a new Key Performance Indicator (KPI) that can quantify the cost of Six Big Losses developed by Nakajima and implements it in a Cyber Physical System (CPS), achieving a real-time monitorization of the KPI. This paper follows the methodology explained below. A cost model has been used to accurately develop this indicator together with the Six Big Losses description. At the same time, the machine tool has been integrated into a CPS, enhancing the real-time data acquisition, using the Industry 4.0 technologies. Once the KPI has been defined, we have developed the software that can turn these real-time data into relevant information (using Python) through the calculation of our indicator. Finally, we have carried out a case of study showing our new KPI results and comparing them to other indicators related with the Six Big Losses but in different dimensions. As a result, our research quantifies economically the Six Big Losses, enhances the detection of the bigger ones to improve them, and enlightens the importance of paying attention to different dimensions, mainly, the productive, sustainable, and economic at the same time.
AB - The purpose of this work is to develop a new Key Performance Indicator (KPI) that can quantify the cost of Six Big Losses developed by Nakajima and implements it in a Cyber Physical System (CPS), achieving a real-time monitorization of the KPI. This paper follows the methodology explained below. A cost model has been used to accurately develop this indicator together with the Six Big Losses description. At the same time, the machine tool has been integrated into a CPS, enhancing the real-time data acquisition, using the Industry 4.0 technologies. Once the KPI has been defined, we have developed the software that can turn these real-time data into relevant information (using Python) through the calculation of our indicator. Finally, we have carried out a case of study showing our new KPI results and comparing them to other indicators related with the Six Big Losses but in different dimensions. As a result, our research quantifies economically the Six Big Losses, enhances the detection of the bigger ones to improve them, and enlightens the importance of paying attention to different dimensions, mainly, the productive, sustainable, and economic at the same time.
KW - Cost model
KW - Cyber Physical Systems
KW - Industry 4.0
KW - Key Performance Indicator
UR - http://www.scopus.com/inward/record.url?scp=85098524134&partnerID=8YFLogxK
U2 - 10.3390/app10249154
DO - 10.3390/app10249154
M3 - Article
AN - SCOPUS:85098524134
SN - 2076-3417
VL - 10
SP - 1
EP - 17
JO - Applied Sciences (Switzerland)
JF - Applied Sciences (Switzerland)
IS - 24
M1 - 9154
ER -