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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

Abstract

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 language	English
Title of host publication	Algorithms and computational techniques applied to industry
Editors	Jorge Luis García Alcaraz, Arturo Realyvásquez Vargas
Place of Publication	Cham
Pages	341-363
Number of pages	23
ISBN (Electronic)	978-3-031-00856-6
DOIs	https://doi.org/10.1007/978-3-031-00856-6_16
State	Published - 2022

Publication series

Name	Studies in Systems, Decision and Control
Publisher	Springer International Publishing AG
Number	435
ISSN (Print)	2198-4182
ISSN (Electronic)	2198-4182

Bibliographical note

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 17 Partnerships for the Goals

Keywords

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

Access to Document

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

Cite this

Pallete, F., Rivera, L., Tacza, L., Luna, A., & Chong, M. (2022). Distribution network optimization in the Peruvian agro-industrial sector. In J. L. García Alcaraz, & A. Realyvásquez Vargas (Eds.), Algorithms and computational techniques applied to industry (pp. 341-363). (Studies in Systems, Decision and Control; No. 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; No. 435).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Rivera, Lucero

AU - Tacza, Luis

AU - Luna, Ana

AU - Chong, Mario

PY - 2022

Y1 - 2022

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KW - Center of gravity

KW - Mixed-integer linear programming

KW - Network DESIGN

KW - Palm oil

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Distribution network optimization in the Peruvian agro-industrial sector

Abstract

Publication series

Bibliographical note

UN SDGs

Keywords

Access to Document

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Cite this