TY - GEN
T1 - Reduction of Waste in an SME in the Meat Sector in Peru through a Lean Manufacturing Approach Using a Model Based on 5S, Standardization, Demand Forecasting and Kanban
AU - Rojas-Benites, Sergio
AU - Castro-Arroyo, Anthony
AU - Viacava, Gino
AU - Aparicio, Victor
AU - Del Carpio, Christian
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/9/27
Y1 - 2021/9/27
N2 - At food industry, food waste along the supply chain is inevitable. The exception is not a MSE dedicated to the processing of meat products in Lima, Peru. It turns out an average 15.78% of inventories expire, which represents 8% of its annual billing. This occurs for three reasons: overproduction, immobilized products in process and oversupply of raw materials. To reverse this situation, a model is proposed using 4 lean manufacturing tools: Kanban, 5S, demand forecasting and Standardization. A 7% reduction is expected in the current average level of waste in the warehouse, obtaining the optimal level for companies in this area. The validation of the model is by means of the Arena Simulator program and the result indicate that it was possible to reduce the waste to levels considered optimal (less than 10%). The economic viability study had favorable indicators, other environmental and organizational impacts were evaluated with assertive results. As a conclusion, the implementation of the model has had a positive impact and need to maintain it in the long term.
AB - At food industry, food waste along the supply chain is inevitable. The exception is not a MSE dedicated to the processing of meat products in Lima, Peru. It turns out an average 15.78% of inventories expire, which represents 8% of its annual billing. This occurs for three reasons: overproduction, immobilized products in process and oversupply of raw materials. To reverse this situation, a model is proposed using 4 lean manufacturing tools: Kanban, 5S, demand forecasting and Standardization. A 7% reduction is expected in the current average level of waste in the warehouse, obtaining the optimal level for companies in this area. The validation of the model is by means of the Arena Simulator program and the result indicate that it was possible to reduce the waste to levels considered optimal (less than 10%). The economic viability study had favorable indicators, other environmental and organizational impacts were evaluated with assertive results. As a conclusion, the implementation of the model has had a positive impact and need to maintain it in the long term.
KW - Lean Manufacturing
KW - MSE
KW - meat industry
KW - warehousing
KW - waste
UR - https://www.scopus.com/pages/publications/85123057474
U2 - 10.1145/3494583.3494592
DO - 10.1145/3494583.3494592
M3 - Contribución a la conferencia
AN - SCOPUS:85123057474
T3 - ACM International Conference Proceeding Series
SP - 279
EP - 285
BT - ICIBE 2021 - 2021 7th International Conference on Industrial and Business Engineering
PB - Association for Computing Machinery
T2 - 7th International Conference on Industrial and Business Engineering, ICIBE 2021
Y2 - 27 September 2021 through 29 September 2021
ER -