TY - GEN
T1 - Demand management model based on quantitative forecasting methods and continuous improvement to increase production planning efficiencies of SMEs Bakeries
AU - Contreras-Choccata, Denilson
AU - Sotelo-Raffo, Juan
AU - Raymundo-Ibañez, Carlos
AU - Rivera, Luis
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - In the last quarter of 2018, the manufacturing sector grew 11.4%, of which 19.6% was accounted for by the food industry. However, one of the main problems faced by micro and small companies is poor management, since many of these businesses plan based on experience. In addition, inaccurate demand forecasting generates losses for these organizations due to overproduction or understocking. While the former triggers losses from elevated operating costs, the latter leads to loss of revenue and unsatisfied customers and compromises future demand rates. Therefore, a demand management model was designed to provide accurate and relevant information, which may improve production planning based on the continuous improvement approach. The model increased the planning from 91.2% to 96.2% in a micro business dedicated to the production and sale of bread.
AB - In the last quarter of 2018, the manufacturing sector grew 11.4%, of which 19.6% was accounted for by the food industry. However, one of the main problems faced by micro and small companies is poor management, since many of these businesses plan based on experience. In addition, inaccurate demand forecasting generates losses for these organizations due to overproduction or understocking. While the former triggers losses from elevated operating costs, the latter leads to loss of revenue and unsatisfied customers and compromises future demand rates. Therefore, a demand management model was designed to provide accurate and relevant information, which may improve production planning based on the continuous improvement approach. The model increased the planning from 91.2% to 96.2% in a micro business dedicated to the production and sale of bread.
KW - Demand forecasting continuous improvement
KW - Demand management
KW - Forecasting methods
UR - https://www.scopus.com/pages/publications/85081936280
U2 - 10.1007/978-3-030-39512-4_116
DO - 10.1007/978-3-030-39512-4_116
M3 - Contribución a la conferencia
AN - SCOPUS:85081936280
SN - 9783030395117
T3 - Advances in Intelligent Systems and Computing
SP - 760
EP - 765
BT - Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020
A2 - Ahram, Tareq
A2 - Karwowski, Waldemar
A2 - Vergnano, Alberto
A2 - Leali, Francesco
A2 - Taiar, Redha
PB - Springer
T2 - 3rd International Conference on Intelligent Human Systems Integration, IHSI 2020
Y2 - 19 February 2020 through 21 February 2020
ER -