Abstract:

Supply-demand matching which is to find a suitable supply and demand cooperation scheme is the key to optimize resource utilization and form long-term partnership. With respect to the problem of supply-demand matching dominated of multiple commodities by the broker, the suppliers’ satisfaction about transaction price, the demanders’ satisfaction about transaction price and preference ordinal, and the importance of enterprises in both two sides from the broker perspective are simultaneously considered. A multi-objective optimization model is established, in which the satisfaction degree of weighted supply and demand is taken as object function and the specific restrictions in transaction as constrains. According to the characteristics of the research problem, an improved adaptive genetic algorithm is designed to solve the matching model. By a numerical example of mines, coal demanders and sea port, the matching results can be obtained and the feasibility and practicality of the proposed method can be demonstrated. It provides the reference and guidance for customer relation management of the broker.

Key words: supply-demand matching, broker perspective, multi-objective decision making, transaction price, preference ordinal

摘要：

供需匹配是优化资源利用、形成长期稳定伙伴关系的关键，其本质是寻找或选择合适的供需合作方案。研究针对中介视角下多种货物的供需匹配问题，考虑供应企业关于交易价格的满意度、需求企业关于交易价格和偏好序的满意度、中介视角下供需方各主体的重要程度，以最大化加权供、需方满意度为目标函数，以交易中的具体限制为约束条件，建立基于中介视角的供需匹配多目标决策模型。根据研究问题特点，设计改进的自适应遗传算法对匹配模型求解。以煤矿、煤炭需求企业、港口三方主体间多种煤炭的供需匹配问题为例进行实证研究，计算获得港口视角下供需企业的匹配方案，说明所建立模型和算法的可行性与有效性，能够为客户关系管理研究与应用提供参考与指导。

关键词: 供需匹配, 中介视角, 多目标决策, 交易价格, 偏好序