A hybrid GA for a supply chain production planning problem

The problem of production and delivery lot-sizing and scheduling of set of items in a two-echelon supply chain over a finite planning horizon is addressed in this paper. A single supplier produces several items on a flexible flow line (FFL) production system and delivers them directly to an assembly facility. Based on the wellknown basic period (BP) policy, a new mixed zero-one nonlinear programming model has been developed to minimize average setup, inventory-holding and delivery costs per unit time in the supply chain without any stock-out. The problem is very complex and it could not be solved to optimality especially in real-sized problems. So, an efficient hybrid genetic algorithm (HGA) using the most applied BP approach (i.e. power-of-two policy) has been proposed. The solution quality of the proposed algorithm called PT-HGA has been evaluated and compared with the common cycle approach in some problem instances. Numerical experiments demonstrate the merit of the PT-HGA and indi...

• Type: Conference
• Year: 2007
• Where: GECCO
• Authors: Masoud Jenabi, S. Ali Torabi, S. Afshin Mansouri
• Keywords: Finite Planning Horizon, GECCO 2007, Supply Chain, Two-echelon Supply Chain