Risk Management in The Corn Commodity Supply Chain As a Raw material For Sustainable Poultry Feed: a Systematic Literature Review

This paper was not presented at the conference.

Authors

  • kulsum kulsum IPB University Author

Keywords:

Risk Management, Supply Chain, Corn, Poultry Feed, SSDM

Abstract

This paper was not presented at the conference.

Corn is a strategic agricultural commodity, related to its benefits and has an important role in various sectors. The use of corn is not limited only to food needs, but is also used as a raw material for industry including agro-industry feed, including poultry feed. Around 40% of raw materials for poultry feed come from corn. In the corn supply chain to fulfill raw materials for poultry feed, of course there are risks that need to be considered, because they will affect corn in terms of quality, quantity, price and sustainability. Therefore, an approach is needed to see what risks exist, appropriate risk mitigation and also risk management strategies along the corn supply chain or supply chain risk management (SCRM). This research uses the PRISMA method, which will carry out a systematic literature review, aiming to synthesize several published studies relating to risks along the supply chain of corn as a raw material for poultry feed. Data sources are taken from Scopus , Sage, Semantic Scholar, and Google Scholar. Then a bibliometric review of journals is carried out, for the period 2017-2023. From the results of the analysis carried out, several approaches that still have the potential to be implemented include the supply chain risk management (SCRM) approach, using soft system dynamics methodology (SSDM). Where in the stages will use VORST to identify supply chain mechanisms, SCOR DS to identify and mitigating supply chain risks, followed by using Interoretative Structural Modeling (ISM) to get the driving power from the risks of the previous stage. Continued by using dynamic simulation to get a comprehensive picture of the system along with alternative solutions. Then the final step is using analytical network process (ANP) .

Published

2023-12-01