共享制造模式下的计划体系研究

发布时间：2018-05-14 07:47

本文选题：共享经济 + 时间序列　；参考：《浙江大学》2016年博士论文

【摘要】：共享经济是一种互利共赢的经济模式,一直存在于制造业中,而信息技术和计算机技术的飞速发展,特别是互联网技术的进步使之在应用范围和深度方面有了很大的变化。基于共享经济的制造模式(简称共享制造)正在兴起。共享制造符合我国制造业的发展需求,具有强大的经济潜力和良好的市场前景。然而,共享制造的相关研究才刚起步,且理论体系尚不健全,因此有待加强。本文仅研究共享制造的计划体系。根据共享制造高度服务化、定制化和共享化的特点,本文为共享制造计划体系确定了以下管理和研究需求:(1)高度服务化:企业(服务供应商)对外通过提供服务参与市场竞争,对内需要对实现服务的资源和能力进行管理(生产管理)。为了保证对外管理和对内管理的一致性,需要将服务管理和生产管理集成在同一计划框架下,因此需要研究共享制造计划体系结构(Planning System for Sharing Manufacturing,PSSM),使其满足这一要求。(2)多粒度服务共享:共享制造平台需要向用户提供各个层次的共享服务。显然,定制产品和定制零部件是不同层次的服务(不同粒度),这无疑会带来服务规划难的问题。因此需要研究多层级服务规划(Multi-level Aggregate Service Planning,MASP),体现计划的层次性,保证有效性。(3)定制服务高效化:共享制造的优势体现在定制服务的深度,但是深度会影响效率。为了提高响应速度,需要在定制服务中扩大通用服务的比例,如采用延迟制造;同时,需要这是一种通用策略,可以满足不同服务供应商(生产能力不同)的管理需求,因此需要研究通用延迟制造生产计划(Common Delayed Differentiation based Production Planning,CDDP),实现分布式生产优化。(4)定制服务规模化:面向大范围的共享服务,企业生产部门容易获得较多的相似件,产生规模经济效应,有助于提高定制效率。但相似件的批量生产也需要同步满足交货期等需求,实现降低成本、减少耗时的多目标优化。因此需要研究"基于相似件归并的生产进度计划(Similarity-based Production Scheduling for Customized Production,SPSC)。基于这四方面研究需求,论文结构定义如下:第1章阐述论文的研究背景,提出了研究问题和内容。依据研究内容,论文回顾和分析了相关领域的研究现状,揭示了该研究的必要性,进而给出论文结构框架。第2章介绍共享制造计划体系结构,给出了共享制造服务架构、服务业务及计划管理系统。随后,研究了MASP、CDDP和SPSC在计划管理系统中的功能和作用,以及彼此间的联系和交互。第3章研究多层级服务规划(MASP),提出了MASP包含的两项关键技术:服务分级模型和基于时间序列的需求预测技术。第4章探讨通用延迟制造生产计划(CDDP),包括需求释放规则的构建,以及混合式的库存组合和补充方式的实现。需求释放规则的构建体现了对服务供应商生产能力多样性的考虑;库存组合和补充方式体现了CDDP生产决策的柔性和灵活性。第5章研究基于相似件归并的生产进度计划(SPSC),研究内容包括相似件的识别、生产能力约束的表示、智能优化算法的构建等。第6章通过案例研究证明MASP、CDDP和SPSC的适应性和有效性,进而证明PSSM给出服务和生产决策的合理性;此外,还给出了以CDDP和SPSC为核心的SaaS服务的实现框架和应用案例。第7章对全文进行总结,提出论文的创新点,并对后续的相关研究工作进行了展望。
[Abstract]:Shared economy is a mutually beneficial and win-win economic model, which has always existed in the manufacturing industry, and the rapid development of information technology and computer technology, especially the progress of Internet technology, has made great changes in the scope of application and depth. The manufacturing mode based on shared economy is rising. The development demand of China's manufacturing industry has a strong economic potential and a good market prospect. However, the related research on shared manufacturing has just started and the theoretical system is not yet sound. Therefore, it needs to be strengthened. This paper only studies the planning system of shared manufacturing. This paper is based on the characteristics of high service, customization and sharing of shared manufacturing. The shared manufacturing planning system identifies the following management and research requirements: (1) highly service-oriented: the enterprise (service provider) participates in the market competition by providing services to the outside world, and manages the resources and capabilities of the services to be implemented within. In order to ensure the consistency of external management and internal management, service management and birth need to be managed and generated. Production management is integrated under the same plan framework, so Planning System for Sharing Manufacturing (PSSM) needs to be studied to meet this requirement. (2) multi granularity service sharing: shared manufacturing platform needs to provide users with all levels of shared services. At the same level of service (different granularity), this will undoubtedly bring about the difficult problem of service planning. Therefore, we need to study the Multi-level Aggregate Service Planning (MASP) to reflect the level of the plan and ensure the effectiveness. (3) the high efficiency of the custom service: the advantage of the shared manufacturing is reflected in the depth of the custom service, but the depth will be in shadow Response speed. In order to improve response speed, it is necessary to expand the proportion of general service in custom services, such as delayed manufacturing; at the same time, it is a general strategy to meet the management requirements of different service providers (different production capacity). Therefore, the Common Delayed Differentiation bas needs to be studied. Ed Production Planning, CDDP), to achieve distributed production optimization. (4) customization service scale: large scale sharing services, enterprise production departments easy to obtain more similar parts, produce scale economic effects, help to improve the efficiency of customization. But similar batch production also needs to meet the demand of delivery time and so on. It reduces the time-consuming multi-objective optimization. Therefore, we need to study "Similarity-based Production Scheduling for Customized Production, SPSC). Based on these four aspects, the structure of the paper is defined as follows: the first chapter expounds the research background of the thesis, and puts forward the research problems and contents. The paper reviews and analyzes the research status in the related fields, reveals the necessity of the research, and then gives the framework of the paper. The second chapter introduces the shared manufacturing plan architecture, and gives the shared manufacturing service architecture, service business and planning management system. Then, the work of MASP, CDDP and SPSC in the planned management system is studied. The third chapter studies the multi-layer service planning (MASP), and puts forward two key technologies including the service classification model and the time series based demand forecasting technology. The fourth chapter discusses the general delay manufacturing production plan (CDDP), including the construction of demand release rules, and the mixed inventory. The implementation of combination and supplement. The construction of demand release rules reflects the consideration of the diversity of service providers' productivity; inventory combination and supplemental methods reflect the flexibility and flexibility of CDDP production decision. In the fifth chapter, the production schedule (SPSC) based on the merging of similar parts is studied, including the identification of similar parts, production energy The sixth chapters prove the adaptability and effectiveness of MASP, CDDP and SPSC through case study, and then prove that PSSM gives the rationality of service and production decision. Furthermore, it also gives the framework and application cases of SaaS services at the core of CDDP and SPSC. The seventh chapter summarizes the full text and proposes the full text. The innovation of the paper, and the future research work is prospected.

【学位授予单位】：浙江大学
【学位级别】：博士
【学位授予年份】：2016
【分类号】：TB497

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