@inproceedings{aaa6b5092f5a4a159f00ba512cdf1375,
title = "Management model for pecan production using process tools in an MSE in Peru",
abstract = "The following study proposes a production management process model based on good practices and developed with process management tools for increasing crop productivity of pecan nuts using the Ica region in the district of Pachacutec as a study area. The study covers the proposed model{\textquoteright}s diagnosis and development. The relation between these stages is the main function of improving pecan orchard productivity. The study showed that to increase pecan productivity from 1.09 (t/ha) to 2.21 (t/ha), and to determine raw material needs, tools and/or labor, a standardized process is needed for pecan production. The study{\textquoteright}s main contribution is the development of a production management process through which farmers can order and control production by means of indicators. Furthermore, the study proposes that the developed process of pecan production currently applied by farmers should be supported by a mathematical model simulation.",
keywords = "Agricultural productivity, Pecans, Process management, Production management, Productivity",
author = "Alejandra Mu{\~n}ante and Fabrizio Reyes and Fernando Sotelo and Carlos Raymundo",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019 ; Conference date: 22-08-2019 Through 24-08-2019",
year = "2020",
doi = "10.1007/978-3-030-25629-6\_141",
language = "Ingl{\'e}s",
isbn = "9783030256289",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "903--909",
editor = "Tareq Ahram and Redha Taiar and Serge Colson and Arnaud Choplin",
booktitle = "Human Interaction and Emerging Technologies - Proceedings of the 1st International Conference on Human Interaction and Emerging Technologies, IHIET 2019",
}