Distribution network optimization in the Peruvian agro-industrial sector

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

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations


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).

Original languageEnglish
Title of host publicationAlgorithms and computational techniques applied to industry
EditorsJorge Luis García Alcaraz, Arturo Realyvásquez Vargas
Place of PublicationCham
Number of pages23
ISBN (Electronic)978-3-031-00856-6
StatePublished - 2022

Publication series

NameStudies in Systems, Decision and Control
PublisherSpringer International Publishing AG
ISSN (Print)2198-4182
ISSN (Electronic)2198-4182

Bibliographical note

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


  • Center of gravity
  • Mixed-integer linear programming
  • Network DESIGN
  • Palm oil


Dive into the research topics of 'Distribution network optimization in the Peruvian agro-industrial sector'. Together they form a unique fingerprint.

Cite this