Distribution network optimization in the Peruvian agro-industrial sector

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

doi:10.1007/978-3-031-00856-6_16

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 congreso › Capítulo de libro › revisión exhaustiva

2 Citas (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 original	Inglés
Título de la publicación alojada	Algorithms and computational techniques applied to industry
Editores	Jorge Luis García Alcaraz, Arturo Realyvásquez Vargas
Lugar de publicación	Cham
Páginas	341-363
Número de páginas	23
ISBN (versión digital)	978-3-031-00856-6
DOI	https://doi.org/10.1007/978-3-031-00856-6_16
Estado	Publicada - 2022

Serie de la publicación

Nombre	Studies in Systems, Decision and Control
Editorial	Springer International Publishing AG
Número	435
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.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 8: Trabajo decente y crecimiento económico
ODS 9: Industria, innovación e infraestructura
ODS 17: Alianzas para lograr los objetivos

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10.1007/978-3-031-00856-6_16

Otros archivos y enlaces

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Pallete, F., Rivera, L., Tacza, L., Luna, A., & Chong, M. (2022). Distribution network optimization in the Peruvian agro-industrial sector. En J. L. García Alcaraz, & A. Realyvásquez Vargas (Eds.), Algorithms and computational techniques applied to industry (pp. 341-363). (Studies in Systems, Decision and Control; N.º 435).. https://doi.org/10.1007/978-3-031-00856-6_16

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Distribution network optimization in the Peruvian agro-industrial sector. / Pallete, Fernando; Rivera, Lucero; Tacza, Luis et al.
Algorithms and computational techniques applied to industry. ed. / Jorge Luis García Alcaraz; Arturo Realyvásquez Vargas. Cham, 2022. p. 341-363 (Studies in Systems, Decision and Control; N.º 435).

Producción científica: Capítulo del libro/informe/acta de congreso › Capítulo de libro › revisión exhaustiva

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KW - Mixed-integer linear programming

KW - Network DESIGN

KW - Palm oil

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Distribution network optimization in the Peruvian agro-industrial sector

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