TY - GEN
T1 - Operations Model Based on Lean Manufacturing to Increase the Perfect Order Rate in SMEs in the Consolidated Freight Distribution Sector
AU - Zelada-Muñoz, Luis Angel
AU - Arana-Grijalva, Andrea Cristina
AU - Quiroz-Flores, Juan Carlos
AU - Cabrera-Gil-Grados, Ezilda María
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/9/27
Y1 - 2022/9/27
N2 - This research develops the validation of an operations model that allows mitigating the root causes of the high rate of imperfect orders within a company dedicated to distributing consolidated cargo of various products in Lima, Peru. It is also possible to confirm that Lean Manufacturing tools optimize the processes of SMEs in the service sector; the implementation of these tools provides positive results in the long term. Not only in the quality of its service but also improves the organizational culture within these companies. This case study used the PDCA methodology supported by the 5S, Jidoka (Poka-Yoke), and Standardized Work to reduce the main problem. To achieve our objective, 5S helped the operator achieve an optimal work environment in our case study warehouse. Jidoka, along with visual management, eliminated picking and counting errors. In addition, standardized work eliminated unnecessary time spent on activities that did not add value to the supply chain process. For the implementation of these tools, pilots of each of them were carried out, and, subsequently, the simulation was performed in the simulation software Arena version 16.1. As a result of the validation, the ratio of perfect orders was increased by 15.98%, and the order preparation time was reduced by 19.95%.
AB - This research develops the validation of an operations model that allows mitigating the root causes of the high rate of imperfect orders within a company dedicated to distributing consolidated cargo of various products in Lima, Peru. It is also possible to confirm that Lean Manufacturing tools optimize the processes of SMEs in the service sector; the implementation of these tools provides positive results in the long term. Not only in the quality of its service but also improves the organizational culture within these companies. This case study used the PDCA methodology supported by the 5S, Jidoka (Poka-Yoke), and Standardized Work to reduce the main problem. To achieve our objective, 5S helped the operator achieve an optimal work environment in our case study warehouse. Jidoka, along with visual management, eliminated picking and counting errors. In addition, standardized work eliminated unnecessary time spent on activities that did not add value to the supply chain process. For the implementation of these tools, pilots of each of them were carried out, and, subsequently, the simulation was performed in the simulation software Arena version 16.1. As a result of the validation, the ratio of perfect orders was increased by 15.98%, and the order preparation time was reduced by 19.95%.
KW - 5S
KW - Freight distribution
KW - Jidoka
KW - Lean Manufacturing
KW - PDCA
KW - Standardized Work
UR - http://www.scopus.com/inward/record.url?scp=85147418207&partnerID=8YFLogxK
U2 - 10.1145/3568834.3568843
DO - 10.1145/3568834.3568843
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:85147418207
T3 - ACM International Conference Proceeding Series
SP - 115
EP - 122
BT - 2022 8th International Conference on Industrial and Business Engineering, ICIBE 2022
PB - Association for Computing Machinery
T2 - 8th International Conference on Industrial and Business Engineering, ICIBE 2022
Y2 - 27 September 2022 through 29 September 2022
ER -