Modeling and Simulation of Resilience In Agri-Food Supply Chains: Poultry Market Conceptual Case Study

Abstract

In recent years, dependency on agri-goods has surged along with the growth in the human population. Given that the food industry has a tight profit margin and high price sensitivity, firms are constantly trying to increase their operational efficiency as well as their resilience to withstand disruptions in their supply chains. However, disruptions in the global economy and supply networks historically hindered the efficiency of some areas in the supply chain, and thus this topic is being widely investigated. This paper discusses the commonly found issues within the five macro stages of a poultry supply chain (PSC): (1) Raw Material Sourcing; (2) Breeder Farm and Slaughterhouse Processes; and (3) Finished Product Preparation, Storage, and Distribution. This study aims to structure a holistic model reflecting the flow network of material. The model would assist in highlighting an indicator of supply chain resilience (SCR) through the supply chain resilience triangle (SCRT). The triangle presents the loss of system productivity due to disruption(s) by showing the dampen and recovery period. In this model, it is observed the non-disrupted state, the modeling environment, key performance indicators, and model robustness in terms of capability and vulnerability factors, through the combination of those factors at distinct levels (Low-Medium-High) classification is introduced (HL, MM, or LH). Lastly, to elaborate on the model’s sensitivity to several what-if disruptive events, such as the spread of salmonella, sudden shortage in grains, and upstream driver strike, are conceptualized to analyze how some defined key performance metrics would vary along with the firm classifications.

Date of Award	2022
Original language	American English
Awarding Institution	HBKU College of Science and Engineering