Multi-objective robust optimization method for multi-agent collaborative platform production task planning

• Main Authors: TAI JIANWEI, WU ZHIWEI, LI XIAODUO, TIAN YAJING, CHEN YINGYING, LUO HE, WANG GUOQIANG, WANG DI, LIN HAOSHENG, ZHU JIAWEI
• Format: Patent
• Language: Chinese; English
• Published: 04.04.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a multi-objective robust optimization method and system for multi-agent collaborative platform production task planning, a storage medium and electronic equipment, and relates to the technical field of multi-agent collaborative platform production task planning. The method comprises the following steps: firstly, according to production task planning resources and single-batch overseas orders of the multi-agent collaborative platform, on the premise of determining the shipping time, constructing a production task planning model taking a manufacturing enterprise body as a core; and then designing an infinity norm sphere uncertainty set for ship shipping time, constructing a robust square multi-objective model of cross-region multi-subject production task planning, and optimizing multiple objectives of total delivery time deviation and total delivery cost of a single batch of overseas orders. According to the model, a marine transportation plan made by a shipping company main body in advan