Multi-Objective Lot-Making in Steel Plate Production by Autonomous Decentralized System

Abstract

In most of production planning problems, it is required to manage multiple objective functions. An autonomous decentralized planning algorithm has been developed to apply to multi-objective lot-making problems. The methodology is to improve multi-objective function values through iterative negotiation among the planning modules which represent individual objective functions. The idea of planning 'share' is introduced as the measure to adjust the priority of multiple objective functions. The proposed algorithm has been applied to the plate design problem in steel manufacturing process and its effectiveness has been shown.