TY - GEN
T1 - Integrated BPM-TPM Maintenance Model to reduce over-time order rate in heavy-duty sector SMEs: A Research in Peru
AU - Quiroz-Flores, Juan Carlos
AU - Carrasco-Morales, Karin Alexandra
AU - Aznarán-Sánchez, Sandra Zulema
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/1/12
Y1 - 2022/1/12
N2 - The heavy freight transportation sector has been positioning itself stronger in the sector as a result of the increase in imports and exports in Peru, which has generated a 5.6% increase in its GDP. According to the above, it is essential to identify the stages of the processes, maintenance plan, availability of trucks, as well as the quality of freight transportation. A fundamental part of these considerations is the maintenance management and the restructuring of the stages of the service process, the model proposed by this research is the use of tools such as VSM, BPM, and TPM, whose main objective is to reduce the current rate of orders delivered out of time of 4.78 %, generated by a poor organization of the administrative and logistics area. After the implementation through a pilot plan within the company, a reduction of 0.72% was obtained.
AB - The heavy freight transportation sector has been positioning itself stronger in the sector as a result of the increase in imports and exports in Peru, which has generated a 5.6% increase in its GDP. According to the above, it is essential to identify the stages of the processes, maintenance plan, availability of trucks, as well as the quality of freight transportation. A fundamental part of these considerations is the maintenance management and the restructuring of the stages of the service process, the model proposed by this research is the use of tools such as VSM, BPM, and TPM, whose main objective is to reduce the current rate of orders delivered out of time of 4.78 %, generated by a poor organization of the administrative and logistics area. After the implementation through a pilot plan within the company, a reduction of 0.72% was obtained.
UR - http://www.scopus.com/inward/record.url?scp=85132045975&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/0f83c5f0-28b5-3062-bbc8-0994d6bb94b1/
U2 - 10.1145/3524338.3524344
DO - 10.1145/3524338.3524344
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:85132045975
T3 - ACM International Conference Proceeding Series
SP - 34
EP - 40
BT - IEIM 2022 - 2022 3rd International Conference on Industrial Engineering and Industrial Management
PB - Association for Computing Machinery
Y2 - 12 January 2022 through 14 January 2022
ER -