Optimization of recall in food supply chain using modified artificial bee colony algorithm

Traceability in food supply chain has become recognized as an essential tool for guaranteeing food safety and food quality. Recalled size is the key issue for the traceability system to reduce the cost. It can be reduced by optimization of batch dispersion in production planning of food processing. In this paper, a 4-level food batch dispersion model is given, it consists of four levels respectively raw materials, components, semi-finished products and finished products, while involving three operations, respectively disassembling, assembling and packaging. For this 4-level batch dispersion model is a NP hard problem with complexity to compute, a modified artificial bee colony (MABC) algorithm is proposed for its solution minimizing the recalled quantity. Simulation results show that the potential recalled quantity can be minimized efficiently by using the proposed MABC algorithm.