Distribution network optimization in the Peruvian agro-industrial sector

Fernando Pallete, Lucero Rivera, Luis Tacza, Ana Luna, Mario Chong

Producción científica: Capítulo del libro/informe/acta de congresoCapítulo de librorevisión exhaustiva

1 Cita (Scopus)

Resumen

In recent years, palm oil has been established as the most-produced oilseed oil in the world—its production volume has increased from 41 million tons in the 2007/08 season to more than 76 million tons in the 2018/19 season—and a crucial part of the Latin American agro-industrial sector. However, following a slowdown in export growth due to the 2020 COVID-19 lockdown, there is a vital need for sustainable expansion alternatives such as the production of value-added oil-palm products. This chapter presents the business process integration methodology and strategies pursued by a palm oil producer in Peru to optimize the vertical growth of its operational processes within the Latin American palm oil agro-industrial sector, based on the SAP S/4Hana Business Modules: Materials Management (for purchasing), Production Planning (for making), Sales and Distribution (for selling), Controlling (for tracking) and Human Capital Management (for managing staff).

Idioma originalInglés
Título de la publicación alojadaAlgorithms and computational techniques applied to industry
EditoresJorge Luis García Alcaraz, Arturo Realyvásquez Vargas
Lugar de publicaciónCham
Páginas341-363
Número de páginas23
ISBN (versión digital)978-3-031-00856-6
DOI
EstadoPublicada - 2022

Serie de la publicación

NombreStudies in Systems, Decision and Control
EditorialSpringer International Publishing AG
Número435
ISSN (versión impresa)2198-4182
ISSN (versión digital)2198-4182

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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