Design space exploration of a poultry fillet processing system using discrete-event simulation

TL;DR

This paper introduces an automated discrete-event simulation method for exploring and optimizing poultry fillet processing system designs, reducing time and effort in iterative system development.

Contribution

It presents a novel automated approach for design space exploration using discrete-event simulation, streamlining the process of optimizing poultry processing systems.

Findings

Effective in reducing design iteration time

Automates model construction and analysis

Proven successful in a poultry processing case study

Abstract

Developments in the poultry processing industry, such as how livestock is raised and how consumers buy meat, make it increasingly difficult to design poultry processing systems that meet evolving standards. More and more iterations of (re)design are required to optimize the product flow in these systems. This paper presents a method for design space exploration of production systems using discrete-event simulation. This method automates most steps of design space exploration: iterating on the design, model construction, performing simulation experiments, and interpreting the simulation results. This greatly reduces the time and effort required to iterate through different designs. A case study is presented which shows that this method can be effective for design space exploration of poultry processing systems.