考虑需求信息更新的服务型制造的生产计划与服务能力联合优化

Demand information updating enables companies to make better decisions, which will improve companies’ profits and reduce waste of resources. However, the problem about how to take an advantage of demand information updating to improve the decisions is rarely investigated in the service-oriented manufacturing environment. This project will investigate how the manufacturing companies make optimal decisions on the production planning and service capacity based on demand information updating when incorporating the service, which includes: (1) building the models of the demand forecast updating with customer feedback information and the production and service hybrid system, and disclosing the relationships among the dynamic demand information, production and service; (2) jointly optimizing multiple-period decisions of the production planning and service capacity that are based on demand information updating under different strategies of the service level guarantee and service capacity replenishment; (3) evaluating and analyzing the feasibility, effectiveness and applicability of the proposed production and service decisions through numerical and case studies. The object of this project is to make a particular contribution to service-oriented manufacturing operations management with demand information updating. This study will provide theories and methods for transforming traditional manufacturing into services, resulting in promoting business transformation and improving business competitiveness in our manufacturing industry.

需求信息更新能够促进企业决策的优化，从而有助于提高企业利润和降低企业资源的浪费。然而在服务型制造领域，有关基于需求信息更新决策优化的研究却很欠缺。本项目研究制造企业服务化时应如何制定基于需求信息更新的最优生产计划和服务能力联合决策：（1）建立考虑到顾客体验反馈的需求信息更新模型以及生产与服务混合系统模型，揭示动态需求信息、生产与服务之间的关系机理；（2）考虑到不同的服务水平保障和服务能力补充策略，优化基于需求信息更新多周期生产计划和服务能力联合决策；（3）结合数值算例和案例，对所提出的生产和服务联合决策的可行性、效益性和适用性进行评估和定量分析。本项目旨在丰富和发展需求信息更新环境下服务型制造企业的运作管理理论，为我国制造企业服务化提供理论和方法，从而为促进我国制造企业转型和增强我国制造企业的竞争力提供有力支持。

本项目围绕制造企业服务化过程中如何基于需求信息更新优化其决策进行展开。首先，建立需求信息更新模型，并结合该模型通过排队论方法获取了动态需求信息、生产与服务之间的关系机理。其次，在考虑到不同的服务化形式下（如：服务捆绑的短周期产品，售后服务，产品个性化等）建立基于信息更新的联合决策模型，并通过数学分析和算法获取最优或近似最优的决策。最后，结合案例和数值，分析不同情景下的决策和企业利润，从而获取所提的策略在什么情况下能给企业带来更大的利润。本项目对于丰富制造企业的运作管理理论有重要的学术价值，同时也为促进我国制造企业转型和增强我国制造企业的竞争力提供理论依据和实践指导。