TY - CHAP
T1 - Implementation of Lean and Logistics Principles to Reduce Non-conformities of a Warehouse in the Metalworking Industry
AU - Quiroz Flores, Juan Carlos
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/3
Y1 - 2021/3
N2 - The main objective of the work is to analyze the problem of non-conforming products in the warehouse, which affects delivery on time and perfect orders, directly impacting the OTIF (On Time, In Full) logistics indicator of manufacturing companies in Peru. For this reason, the analysis was carried out in XY, which accounts for 64.03% of non-conforming parts, composed of reprocessed products (72.93%) and discarded (27.07%), which causes costs to increase to $ 347,234.67. This is due to the following causes: Dispatch of unsolicited products (35.88%), damaged products (35.68%), fictitious stock (17.94%) and delay in dispatch (10.94%). To reduce the impact of the problem, Lean Warehousing, slooting and wave picking techniques were used; and 5S developing the model with the PDCA methodology, using VSM for the analysis of the flow of activities and measurement of the identified indicators. After the implementation of the model, the process time was reduced by 19.12%. The distance traveled to prepare an order was reduced from 244.5 meters to 173.5 meters; and an OTIF value increased by 44.33%. The output of the model provides an example for potential application in warehouses of companies in the manufacturing industry.
AB - The main objective of the work is to analyze the problem of non-conforming products in the warehouse, which affects delivery on time and perfect orders, directly impacting the OTIF (On Time, In Full) logistics indicator of manufacturing companies in Peru. For this reason, the analysis was carried out in XY, which accounts for 64.03% of non-conforming parts, composed of reprocessed products (72.93%) and discarded (27.07%), which causes costs to increase to $ 347,234.67. This is due to the following causes: Dispatch of unsolicited products (35.88%), damaged products (35.68%), fictitious stock (17.94%) and delay in dispatch (10.94%). To reduce the impact of the problem, Lean Warehousing, slooting and wave picking techniques were used; and 5S developing the model with the PDCA methodology, using VSM for the analysis of the flow of activities and measurement of the identified indicators. After the implementation of the model, the process time was reduced by 19.12%. The distance traveled to prepare an order was reduced from 244.5 meters to 173.5 meters; and an OTIF value increased by 44.33%. The output of the model provides an example for potential application in warehouses of companies in the manufacturing industry.
KW - 5S
KW - VSM
KW - delivery in full-on time (DIFOT)
KW - lean manufacturing
KW - metalworking
KW - on time in full (OTIF)
KW - slotting
KW - warehouse
KW - wave picking
UR - http://www.scopus.com/inward/record.url?scp=85113818640&partnerID=8YFLogxK
U2 - 10.1109/icitm52822.2021.00024
DO - 10.1109/icitm52822.2021.00024
M3 - Capítulo
SN - 9781665435857
T3 - Proceedings - 2021 10th International Conference on Industrial Technology and Management, ICITM 2021
SP - 89
EP - 93
BT - Proceedings - 2021 10th International Conference on Industrial Technology and Management, ICITM 2021
ER -