大数据背景下IPD生产流程的改进机理研究

Research on the Improvement Mechanism of IPD Production Process in the Context of Big Data

大数据背景下顾客需求多元化,生产企业无法满足顾客不断碎片化的需求。针对此种现象,部分企业提出了集成产品(IPD)的生产模式:IPD是一种以投资成功为目的,以市场为导向,通过跨部门团队及流程协同运作,实施分层异步技术实现,面向产品包(offering)交付的研发及产品管理体系。但是目前的IPD也存在着部分的问题:无法精确定位客户需求、生产售后问题没有得到很好的解决以及生产流程多重心化导致管理不当。对此,笔者根据理论和实践研究,提出相应的解决措施:从客户需求出发生产产品,将客户需求放在生产的第一位;将售后放入集成产品开发(IPD)的流程中形成一个完整的产品生产生命周期流程;进行组织流程改造,确立以生产部门为中心的组织模式。根据宝洁公司的案例,运用贝叶斯分析方法,增加生产流程中的客户参与度,有效地阻止了宝洁公司业务走向衰落。

Under the background of big data, customer needs are diversified, and production enterprises cannot meet the needs of customers who are constantly fragmented. In view of this phenomenon, some enterprises have proposed the production mode of integrated products (IPD): IPD is an R&D and product management system for the purpose of investment success, market-oriented, through cross-departmental team and process synergy, the implementation of hierarchical asynchronous technology, and the delivery of product packages (offerings). However, there are also some problems with the current IPD: the inability to accurately locate customer needs, the problem of production and after-sales service has not been well solved, and the multi-focus of the production process has led to improper management. In this regard, according to the theoretical and practical research, the author proposes corresponding solutions: starting from customer needs to produce products, and putting customer needs in the first place in production;Putting after-sales into the integrated product development (IPD) process to form a complete product production life cycle process;We will transform our organizational processes and establish an organizational model centered on the production department. According to the case of P&G, the use of Bayesian analysis methods to increase customer engagement in the production process effectively prevented the decline of P&G’s business.