面向服装供应链平台的订单生产双向推荐策略

A duo-directional recommendation strategy for order-production oriented to apparel supply chain platforms

针对服装供应链平台的服装多个生产订单与多个制造商间的相互匹配与双向推荐问题,首先分析了下单方和制造商的双方交易需求,然后构建了双方效用评价指标结构和偏好效用函数,最后采用Gale-Shapley(GS)算法策略建立了基于偏好排序的服装生产订单双向匹配模型。实验采用6个订单与6家制造商的数据进行双向匹配模型验证,专家问卷分析结果表明了其匹配结果的稳定性和可接受性,实现了下单方对匹配结果的平均接受率达到94%,接单方对匹配结果的平均接受率达到89%。结果表明:基于订单效用评价体系和GS策略的双向匹配模型能充分反映下单方的交易需求和制造商的接单意愿,在考虑博弈双方的交易需求下,匹配模型能有效地提高服装供应链平台上的下单与接单匹配推荐结果的准确性和稳定性。

Aiming at the problem of duo-directional recommendation between multiple production orders of clothing and multiple manufacturers on the clothing supply chain platform,the transaction needs of the ordering party and the manufacturer were analyzed as the first step in this research,followed by the construction of the utility evaluation index structure and preference utility function of both parties.Based on preference ranking,the Gale-Shapley(GS)algorithm strategy is adopted to establish a duo-directional matching model for apparel production orders.Data from 6 ordering companies and 6 manufacturers were used to carry out a duo-directional matching model experiment,which verified the stability and acceptability of the matching results.The expert questionnaire survey shows that the average acceptance rate of the ordering parties reached 94%,and the average acceptance rate of the order receiving parties reached 89%.The results show that the duo-directional matching model based on the order utility evaluation system and the GS strategy can fully reflect the ordering party′s transaction needs and the manufacturer′s willingness to accept orders.Taking into account the transaction needs of both parties in trading,the matching model,as on the third-party clothing supply chain platform,can effectively improve the accuracy and stability of the matching recommendation results for order allocation and order acceptance.