面向大规模定制的供应链管理：基于“戴尔”的案例分析

戴尔公司的迅速成长一向为业界所称道，但是人们往往只看到了戴尔表面的直销模式，而忽视了其背后大规模定制的生产方式以及高效先进的供应链管理所起的巨大作用。对戴尔基于大规模定制的供应链管理的实施基础、总体模型、基本特点及弊端的分析表明，实行企业内部资源的有效整合，建立战略合作的外部协作关系，把握客户需求，才能使企业在竞争中得到先机并实现可持续发展。     

大规模定制的企业核心竞争力

大规模定制的价值取向在于满足客户个性化需求,大规模定制的核心竞争力在于拥有提供给客户的充分商品空间, 大规模定制的生产理念是“专为你生产”。大规模定制供应链信息传输的信源是客户,产品制造的主导信息也来自于客户对 商品的自主选择,这与传统大规模生产迥然不同。     

基于客户订单分离点的物流服务模式研究

以大规模定制为背景，分析了客户订单分离点CODP前后对物流服务的不同需求，详细介绍了精细和敏捷物流服务模式的内涵、实现方法和实际应用，并对这两种物流服务模式进行了比较。     

基于大规模定制的供应链设计

分析了大规模定制面临的挑战和供应链发展带来的机遇，根据供应链的不同功能，结合大规模定制的特点，提出“运用三维并行工程”设计不同的供应链及其供应商与战略伙伴，以实现大规模定制的低成本和快速反应。     

基于大规模定制的组织变革趋势研究

传统的大规模生产模式组织构架,不适应大规模定制模式的要求,因此向大规模定制转变有必要变革传统的组织构架。基于大规模定制组织变革的趋势是:以创造和传递个性化的客户价值为导向、以流程为中心的组织变革趋势、柔性化趋势、组织结构的模块化、扁平化变革趋势、网络化变革趋势等等。     

基于大规模定制延迟制造技术的时间模型及快速响应方法研究

本文通过大规模定制生产模式的论述，指出延迟制造技术是解耦大规模定制中时间、成本和个性化的矛盾问题的较好的解决方式，并对延迟制造技术进行了新的分类。针对大规模定制的快速响应问题，提取了面向大规模定制的时间模型并进行了分析；最后指出大规模定制快速响应问题的解决方案是基于延迟制造基础上的可重组制造系统。     

基于服务业标准化比较分析的服务创新研究

随着国际分工的深化、服务需求的增加、服务业竞争的加剧以及部分行业进入壁垒的降低,服务业呈现出国际化、标准化和定制化的发展趋势.通过对服务业标准化的国际比较分析,以及服务业不同行业标准化的比较分析,进行了基于ISO、BSI、DIN服务业标准化程度和Shostack具体服务产品有形性谱图的服务业"无形性-标准化"行业二维分布研究,并进一步进行了基于标准化的服务创新研究.     

Brand familiarity and product knowledge in customization

I adopt Hotelling's model with two firms. Each consumer has a most preferred variety and possesses a certain level of category‐specific knowledge. When a firm offers customization, consumers must interact with the firm to create their products. Consumers familiar with the brand can do this seamlessly, whereas consumers unfamiliar with the brand have difficulty expressing their individual needs (the difficulty decreases with consumers' knowledge). The firms first simultaneously decide whether to customize, then engage in price competition. Although customization makes the products less differentiated, the frictions caused by consumer co‐design activities relax price competition. Customization by one of the firms occurs in equilibrium.     

Computer-Mediated Customization Tendency (CMCT) and the Adaptive e-Service Experience

Adaptive customization systems are common in the delivery of e-service. However, consumers vary in their reaction to these systems. We introduce computer-mediated customization tendency (CMCT), a composite individual difference variable that reflects a consumer's personal preferences for designing and interacting with adaptive online environments to create valuable e-service experiences. To measure CMCT, we developed a formative index composed of need for control, technology innovativeness, and aesthetic appreciation. The results show CMCT influences adaptive online behavior and the perceived value of the adaptive e-service experience. In addition, customization-prone and customization-averse consumers differ in how they perceive the costs, benefits, and overall value of the experience.     

Linking learning and effective process implementation to mass customization capability

This study investigates the role of learning and effective process implementation in the development of mass customization capability. Building upon the knowledge-based view of the firm, we argue that internal and external learning are two knowledge-generation routines that contribute to effective process implementation. Effective process implementation, in turn, is a knowledge-based manufacturing capability, which, as a function of internal and external learning, leads to mass customization capability. We employ structural equation modeling to empirically test the effects of learning on mass customization capability, mediated by effective process implementation, using survey data collected from 100 manufacturing plants in 3 industries and 6 countries. Our results provide empirical evidence supporting the proposed model of the effect of internal and external learning on mass customization capability, fully mediated by effective process implementation. This research is one of the first studies to integrate insights from the knowledge-based view of the firm and mass customization. It complements the OM view of mass customization, which to date has largely focused on the technical side, by demonstrating the role of managerial practices and learning in cultivating mass customization capability in a manufacturing environment.