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Distribution Network Optimization in the Peruvian Agro-Industrial Sector

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Algorithms and Computational Techniques Applied to Industry

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 435))

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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).

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Correspondence to Mario Chong .

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Pallete, F., Rivera, L., Tacza, L., Luna, A., Chong, M. (2022). Distribution Network Optimization in the Peruvian Agro-Industrial Sector. In: García Alcaraz, J.L., Realyvásquez Vargas, A. (eds) Algorithms and Computational Techniques Applied to Industry. Studies in Systems, Decision and Control, vol 435. Springer, Cham. https://doi.org/10.1007/978-3-031-00856-6_16

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