TY - GEN
T1 - Lean Inventory Management Model to Reduce Defective Products in Peruvian Baking SMEs
AU - Jurado-Muuoz, Nadia
AU - Fernandez-Paredes, Ismael
AU - Quiroz-Flores, Juan
AU - Cardenas-Rengifo, Luis
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/3
Y1 - 2021/3
N2 - The demand of the baking industry has increased steadily in recent years due to which the sector must also face new challenges involving cost, time, and quality of products; it must also achieve optimal profitability rates and contribution margin. According to the aforementioned, it is essential to plan each stage of the processes, the forecast of demand, supply of materials and consumables, production capacity, and distribution and transportation of products. An essential part of these considerations is inventory and warehouse management. Here, we propose a method that makes use of tools such as material requirement planning, economic order quantity, supplier approval, and standardization, which aims to improve the current defective product indicator of 11.43% generated by poor inventory management. After the implementation of the pilot plans, a reduction of 60% was achieved to sustain the effectiveness of the integrating model, the improvement was corroborated with a simulation, obtaining the same results.
AB - The demand of the baking industry has increased steadily in recent years due to which the sector must also face new challenges involving cost, time, and quality of products; it must also achieve optimal profitability rates and contribution margin. According to the aforementioned, it is essential to plan each stage of the processes, the forecast of demand, supply of materials and consumables, production capacity, and distribution and transportation of products. An essential part of these considerations is inventory and warehouse management. Here, we propose a method that makes use of tools such as material requirement planning, economic order quantity, supplier approval, and standardization, which aims to improve the current defective product indicator of 11.43% generated by poor inventory management. After the implementation of the pilot plans, a reduction of 60% was achieved to sustain the effectiveness of the integrating model, the improvement was corroborated with a simulation, obtaining the same results.
KW - 5S
KW - defective products
KW - distributing ABC
KW - Inventory management
KW - material requirement planning algorithm
UR - https://www.scopus.com/pages/publications/85113732669
U2 - 10.1109/ICITM52822.2021.00016
DO - 10.1109/ICITM52822.2021.00016
M3 - Contribución a la conferencia
AN - SCOPUS:85113732669
T3 - Proceedings - 2021 10th International Conference on Industrial Technology and Management, ICITM 2021
SP - 46
EP - 50
BT - Proceedings - 2021 10th International Conference on Industrial Technology and Management, ICITM 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Industrial Technology and Management, ICITM 2021
Y2 - 26 March 2021 through 28 March 2021
ER -