Contribution of robust optimization on handling agricultural processed products supply chain problem during Covid-19 pandemic

Chaerani, D.; Irmansyah, A.; Perdana, T.; Gusriani, N.

Growing Science » Uncertain Supply Chain Management » Contribution of robust optimization on handling agricultural processed products supply chain problem during Covid-19 pandemic

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Uncertain Supply Chain Management

ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print) Quarterly Publication Volume 10 Issue 1 pp. 239-254 , 2022

Contribution of robust optimization on handling agricultural processed products supply chain problem during Covid-19 pandemic Pages 239-254 Download PDF

Authors: Diah Chaerani, Athaya Zahrani Irmansyah, Tomy Perdana, Nurul Gusriani

DOI: 10.5267/j.uscm.2021.9.004

Keywords: Supply Chain, Agricultural Processed Product Distribution, Robust Optimization, Covid-19 Pandemic, Local Food Hubs

Abstract: This research aims to show how decision sciences can make a significant contribution on handling the supply chain problem during Covid-19 Pandemic. The paper discusses how robust optimization handles uncertain demand in agricultural processed products supply chain problems within two scenarios during the pandemic situation, i.e., the large-scale social distancing and partial social distancing. The study assumes that demand and production capacity are uncertain during a pandemic situation. Robust counterpart methodology is employed to obtain the robust optimal solution. To this end, the uncertain data is assumed to lie within a polyhedral uncertainty set. The result shows that the robust counterpart model is a computationally tractable through linear programming problem. Numerical experiment is presented for the Bandung area with a case on sugar and cooking oil that is the most influential agricultural processed products besides the main staple food of the Indonesian people, rice.

How to cite this paper

 Chaerani, D., Irmansyah, A., Perdana, T & Gusriani, N. (2022). Contribution of robust optimization on handling agricultural processed products supply chain problem during Covid-19 pandemic.Uncertain Supply Chain Management, 10(1), 239-254.

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