集群式供应链大规模定制化的计划管理模式

以产业集群为平台的供应链(以下称为集群式供应链)有着基于同一产业的多单链性.多单链性和生产产品的同类性,使得集群式供应链具有进行大规模定制化生产的优势,为了实现这种优势,以时间竞争为出发点,通过中观相结合,分析了集群式供应链供应商、外包商、制造商和分销商的各环节计划管理,将集群式供应链的系统战略计划和各个企业运作计划进行有机整合起来,在此基础上给出了集群式供应链大规模定制化的主生产计划、物料需求计划和生产作业计划的分解机理.     

大规模定制下的供应链优化研究

大规模定制是一种先进的生产模式和管理理念,供应链是将其变为现实的具体途径和手段,大规模定制下的供应链优化可以弥补由于提供定制服务而造成的成本的增加.本文在大系统的框架下,采用分解协调方法对大规模定制下的供应链系统进行优化.     

大规模定制生产的系统协同思想及理论与方法

提出了大规模定制生产有效实施的系统集成和协同思想,强调系统整体规划下的产品设计(包括顾客和市场)、生产过程和供应链管理等多个领域的系统实施;讨论了大规模定制生产核心技术体系为主导的生产协同性,以及大规模定制生产实施技术的集成性.在此基础上,提出了相关的研究问题.     

大规模定制战略及我国企业的对策

大规模定制是一种基于顾客价值创新的战略思维，它是将大规模生产与定制生产有机统一，规模经济与范围经济有机统一，成本、产品歧异性和速度有机统一的组合竞争战略。本文认为实施大规模定制战略取决于产品需求状况、企业大规模定制能力、供应链及竞争对手的策略；大规模定制被认为是21世纪的主流生产方式和竞争焦点，我国企业应努力通过提高大规模定制能力来增强竞争力。     

交互设计型供应链动态CODP的定位模型及算法研究

与经典MC相比,基于动态CODP的MC,是通过为供应链设置多个CODP,并进行动态调整,实现大规模生产用户定制的产品。它是一种更具优势的供应链系统。其中按照定制形式,可以将其分为选择型供应链与交互设计型供应链。交互设计型供应链由于包含客户自主设计的成分,使得其成为一种更具有一般性与普遍性的生产模式。它的CODP具有产品、设计、生产的三维结构特征,因此定位方式也有了较大的差异。在针对选择型供应链CODP定位研究的基础上,通过分析交互型供应链动态CODP的特征,给出CODP的定位模型,并设计相应的算法。最后以某电动车供应链为例,验证模型及算法的可行性。     

面向全生命周期的大规模定制生产模式的研究

针对目前关于大规模定制的研究主要囿于产品族开发的现状,提出了从全生命周期的角度研究大规模定制生产模式的思路。通过分析单件定制、大规模生产和大规模定制三种生产模式之间的差别,形成了面向大规模定制的响应模式,总结出了设计和定制分离、延迟策略以及模块化产品族的特点。提出了面向DFX的产品族设计方法、包含需求配置和工程配置等在内的定制配置过程、基于制造单元的生产线布局规划过程、基于产品族结构和JIT策略的物流网络融合处理、面向并行装配线规划的设计结构矩阵处理算法等内容。     

集成AM、LP和MC策略的LAM供应链设计研究

供应链的集成研究对于提高供应链竞争力有非常大的意义,精益生产,敏捷制造,大规模定制造做为目前最先进的生产模式,他们单独与供应链集成各有优点和劣势,通过他们对比分析,提出了集成精益,敏捷和大规模定制3种策略的LAM供应链,并详细分析了LAM供应链集成方式,结构模型和实现途径.     

支持基于Internet的大规模定制的产品信息管理系统

基于Internet的大规模定制生产方式是一种必然趋势。在这种生产模式下，企业必须改善其结构、组织和管理方式以及产品的设计和生产方式才能适应这种模式。基于Internet的大规模定制生产的产品信息管理系统在功能和框架上与传统PDM系统不同，它有强大的协作功能，支持异构平台，有更多的功能模块。其关键技术在于分布式软件组件技术、数据该和传输过程的安全机制以及产品和零部件数量的控制策略。最后，提出了基于Internet的大规模定制条件下的产品信息管理的系统解决方案。     

面向供应链的大规模定制时间阈值理论研究

针对目前大规模定制管理运作策略中存在的主要问题,以探索提升面向供应链环境下的大规模定制生产过程中的客户服务水平为主线,在对用户订单信息特征分析与合理分类的基础上,通过引入时间阈值概念及相关理论作为协调大规模定制中范围经济同客户定制化服务水平之间矛盾的基本解决思路,并分析了影响时间阈值的各主要因素,同时在时间阈值的前提下,提出了面向供应链的大规模定制管理运作多级优化策略的思想。     

人体假腿的个性化适应定制模式与设计策略

人体假腿是一种典型的面向个性化需要而进行大规模定制的产品.为了改进现有假腿的产品竞争力与个性化适应程度,提出了一种新的假腿产品柔性设计策略及其对应的“个性化适应定制(APC)”的产品生产模式.这种生产模式综合了大规模生产(MP)与完全个性化定制(PC)的优点,实现了产品在保证大规模生产的竞争力优势前提下对个性化核心功能的自动适应.通过实例,对基于这种APC生产模式与柔性设计策略的假腿竞争力进行了分析评价.这种设计方法与生产模式对具有个性化要求的类似产品具有参考应用价值.     

关于建筑业供应链管理问题的探讨

供应链管理是一种全新的管理模式，即把供应链上的各个企业作为一个不可分割的、协调发展的有机体。建筑业虽然与制造业不同，但却是典型的订单式生产，在建筑业实施供应链管理具有重要意义。本文主要探讨在建筑业实施供应链管理的可能性和作用，论述建筑业供应链管理的方法以及有待进一步研究的问题。     

MC下供应链调度的制约因素及主导矛盾分析

通过对大规模定制(MC)模式下供应链运作过程中诸制约因素的探讨,挖掘出了起决定作用的两个主导矛盾并进行了特征分析,突出表现了MC与供应链相结合进行研究的特殊性及复杂性;明确了主导矛盾在课题研究过程中的核心意义,同时对由之引发的调度优化瓶颈问题进行了简要描述.     

考虑销售价格变动的服装行业供应链契约研究

考虑销售价格变动对服装行业供应链的影响,以博弈论为基础,建立了单次订购两阶段销售模型,通过对单一契约以及组合契约对服装供应链协调性分析,得出：组合契约优于单一契约,当供应链系统最优时,单一契约参数的设计依赖于企业的生产成本和市场需求结构,组合契约的参数设计与市场需求无关;通过设计合理的批发价格和契约参数,组合契约能够协调服装供应链;销售价格的变动会对组合契约的参数设计产生影响;特权使用费的转移支付有助于协调服装供应链。最后通过某一服装企业案例作了实证研究。     

Using fuzzy analytic hierarchy process and particle swarm optimisation for balanced and defective supply chain problems considering WEEE/RoHS directives

This research explored problems concerning production and delivery in a green supply chain, and constructed an optimal mathematical model to provide solutions. This model incorporates WEEE and RoHS in EU directives for the selection of green partners when establishing a supply chain. The weight of each component is calculated by fuzzy analytic hierarchy process (fuzzy AHP). Previous studies suggested that a supply chain is a balanced system, however, in actual practice, there may be processing damages or delivering losses. Thus, such a supply chain with production loss is known as a ‘defective supply chain’. This research analysed the defective supply chain system to discuss its supplier selection, production, and distribution. It developed an optimal mathematical model for both balanced and defective models, and adopted particle swarm optimisation (PSO) to obtain solutions for both models. Finally, case studies for both models with quality solutions were discussed to confirm the efficiency and effectiveness of the proposed approach.     

Leagile supply chain: design drivers and business performance implications

In the context of a dynamic and hypercompetitive business environment, effective supply chain design helps organisations to align resources for improved flow of products and services and satisfy customers’ diverse needs. Scholars have proposed several mutually exclusive supply chain designs such as efficient versus responsive, and lean versus agile. Quantitative testing has revealed that supply chain designs of many firms do not match with what was conceptually expected. To address this mismatch, in this study, a new approach to supply chain leagility is introduced and the impact of uncertainty as the key design driver of supply chains on leagility is investigated. The partial least squares (PLS) was employed to analyse data collected from 299 Australian firms by administering a structured questionnaire. Results indicate that higher performance is achievable on minimising the deviation from a balanced supply chain in which aspects of both leanness and agility are equally embedded. Further, the level of uncertainty directly and positively affects the Deviation from Leagility (DFL) index.     

Simulation-based ripple effect modelling in the supply chain

In light of low-frequency/high-impact disruptions, the ripple effect has recently been introduced into academic literature on supply chain management. The ripple effect in the supply chain results from disruption propagation from the initial disruption point to the supply, production and distribution networks. While optimisation modelling dominates this research field, the potential of simulation modelling still remains under-explored. The objective of this study is to reveal research gaps that can be closed with the help of simulation modelling. First, recent literature on both optimisation and simulation modelling is analysed. Second, a simulation model for multi-stage supply chain design with consideration of capacity disruptions and experimental results is presented in order to depict major areas of simulation application to the ripple effect modelling. Based on both literature analysis and the modelling example, managerial insights and future research areas are identified in regard to simulation modelling application to the ripple effect analysis in the supply chain. The paper concludes by summarising the most important insights and outlining a future research agenda.     

Literature review on disruption recovery in the supply chain*

Recent research underlines the crucial role of disruption events and recovery policies in supply chains. Despite a wealth of literature on supply chain design with disruption considerations, to the best of our knowledge there is no survey on supply chain with disruptions and recovery considerations. We analyse state-of-the-art research streams on supply chain design and planning with both disruptions and recovery considerations with the aim of relating the existing quantitative methods to empirical research. The paper structures and classifies existing research streams and application areas of different quantitative methods subject to different disruption risks and recovery measures. We identify gaps in current research and delineate future research avenues. The results of this study are twofold: operations and supply chain managers can observe which quantitative tools are available for different application areas; on the other hand, limitations and future research needs for decision-support methods in supply chain risk management domains can be identified.     

Revealing interfaces of supply chain resilience and sustainability: a simulation study

Dynamics of structures and processes is one of the underlying challenges in supply chain management, where multiple dimensions of economic efficiency, risk management and sustainability are interconnected. One of the substantiated issues in supply chain dynamics is resilience. Resilience has a number of intersections with supply chain sustainability. This paper aims at analysing disruption propagation in the supply chain with consideration of sustainability factors in order to design resilient supply chain structure in regard to ripple effect mitigation and sustainability increase. Ripple effect in the supply chain occurs if a disruption at a supplier cannot be localised and cascades downstream impacting supply chain performance. This simulation-based study helps to identify what sustainability factors mitigate the ripple effect in the supply chain and what sustainability factors enhance this effect. The results indicate that (i) sustainable single sourcing enhances the ripple effect; (ii) facility fortification at major employers in regions mitigates the ripple effect and enhances sustainability; and (iii) a reduction in storage facilities in the supply chain downstream of a disruption-risky facility increases sustainability but causes the ripple effect.