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作 者:黎君 张旭梅[1,2] 但斌[1,2] 李文博 LI Jun;ZHANG Xumei;DAN Bin;LI Wenbo(School of Economics and Business Administration,Chongqing University,Chongqing 400044,China;Chongqing Key Laboratory of Logistics at Chongqing University,Chongqing 400030,China)
机构地区:[1]重庆大学经济与工商管理学院,重庆400044 [2]重庆大学现代物流重庆市重点实验室,重庆400030
出 处:《管理工程学报》2025年第2期162-174,共13页Journal of Industrial Engineering and Engineering Management
基 金:国家自然科学基金项目(72072016);国家社会科学基金重大项目(20&ZD084);中央高校基本科研业务项目(2021CDSKXYJG007)。
摘 要:随着新一代信息技术与制造业的深度融合,第三方共享制造平台迅速发展。针对第三方共享制造平台的产能匹配问题,考虑平台提前满足制造商需求以及产能数量和价格约束,本文构建了二层多目标优化模型。其中,下层模型用于优化当前周期的匹配策略,上层模型用于决策是否提前满足制造商的需求。本文结合贪心算法和搜索算法设计了求解方法,该方法先通过贪心算法产生初始解,再采用混合策略搜索算法对初始解进行优化。最后,在数值实验部分,本文将CPLEX求解结果与研究所得结果相比,证明了算法的有效性。研究表明,本文所提算法不仅减少了模型的求解时间,还保证了解的质量和精度,为第三方共享制造平台解决跨周期的产能匹配问题提供了一种参考方法。While undertaking the transformation and upgrading of global industries,China has gradually become a world manufacturing power.After the rapid development and scale expansion,China′ s manufacturing industry has faced an unreasonable supply-side structure,an imbalance between supply and demand,and a low utilization of manufacturing resources.To improve these problems,the central government has encouraged and supported the development of third-party sharing platforms for manufacturing enterprises in the 14th Five-Year Plan,Made in China 2025,and other national policy documents.The third-party shared platforms match the supply and demand of capacity by providing matching services,such as matchmaking and docking,to support capacity sharing among manufacturers.In doing so,manufacturers with insufficient capacity can find partners,while manufacturers with surplus capacity can share surplus capacity.In practice,manufacturers often possess multiple periods of demand information due to the possible receipt of production orders in advance.To match partners on time and reduce production risks,manufacturers may submit demand information to the platform in advance.From the perspective of the platform,knowing the demand information of multiple periods beforehand optimizes the matching decision and allows more manufacturers be matched successfully.Thus,the reputation and income of the platform are improved.Therefore,the platform will encourage manufacturers to submit the demand information in advance.In this context,the platform is facing a cross-period capacity-matching problem.It not only needs to match the capacity supply and demand in the current period but also needs to decide whether to meet the manufacturer′s demand in advance.As a result,the matching work of the platform becomes increasingly complex.When manufacturers have cross-period capacity demand,studying the capacity matching of the third-party shared manufacturing platform is of great practical significance for the development of the platform.Motivated by the
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