%0 Journal Article %T 供应链数智转型背景下电力物资协议库存价格联动机制优化方案研究与应用
Research and Application of Optimization Scheme of Agreed Inventory Price Linkage Mechanism for Electric Power Materials in the Context of Supply Chain Digital Intelligence Transformation %A 胡科 %A 曹至宏 %J Modern Management %P 1489-1494 %@ 2160-732X %D 2023 %I Hans Publishing %R 10.12677/MM.2023.1311187 %X 针对供应链数智转型背景下,从供应链数字化、智能化出发,制定科学且合理的联动目录是实现价格联动机制高效运作的基础。又因价格联动实施过程存在物料不统一、联动系数不同等问题。因此提出优化举措,建立分类管控机制和物料库、共享平台等等。最后在供应链数智转型背景下实现数据自动化采集,从而促进价格联动机制不断优化和发展,实现价格联动机制运作效率的提升,并持续优化价格联动策略,全面提升业务质效,从而进一步实现上下游协同发展,提升产业链核心竞争力及供应链风险防控能力,在复杂多变的竞争环境中立于不败之地。
In the context of digital and intelligent transformation of supply chain, from the perspective of supply chain digitization and intelligence, the formulation of scientific and reasonable linkage catalog is the basis for the efficient operation of price linkage mechanism. And because of the price linkage implementation process, there are material inconsistencies, different linkage coefficients and other problems. Therefore, optimization measures are proposed to establish a classification control mechanism and a material library, sharing platform, and so on. Finally, in the context of supply chain digital intelligence transformation to achieve automated data collection, thus promoting the continuous optimization and development of the price linkage mechanism, to achieve the improvement of the operational efficiency of the price linkage mechanism, and continue to optimize the price linkage strategy, comprehensively improve the quality of business efficiency, so as to further realize the synergistic development of the upstream and downstream to enhance the core competitiveness of the industrial chain and the ability to prevent and control the risks of the supply chain, and to stand out from the crowd in the complex and changing competitive environment. %K 供应链数智转型,价格联动,机制优化,数据自动化采集
Supply Chain Digital Intelligence Transformation %K Price Linkage %K Mechanism Optimization %K Automated Data Collection %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=76108