面向MES的服装大规模定制系统

信息化的发展,使大规模定制开始进入服装制造产业. 在服装大规模定制系统实施中,势必要面临如何组织与管理各种差异化的服装产品共线协同生产的组织和管理问题. 本文在服装大规模定制系统的研究中采用的解决方案是,围绕产品族和服装模块化,构建面向MES的企业生产资源知识库,采用MES管理异构产品的共线生产.     

整合营销4C理论下服装定制营销策略初探

本文在整合营销4C理论指导下初步探讨了服装定制的营销策略,并提出重视消费者对服装个性化的需求、以消费者期望的价值定价、销售渠道以方便消费者为准、用服务增加与消费者的沟通的营销策略。     

服装大规模定制SWOT分析下的我国服装企业发展之路

文章介绍了服装大规模定制的发展状况,并利用SWOT分析对我国服装业实施大规模定制的优势和制约因素进行了详细分析,并对我国服装企业发展之路的方向提出了相应的实施对策。     

服装业大规模定制的PLM系统研究

为解决服装企业多品种、个性化需求的大规模定制问题,在分析大规模定制生产模式思想和方法的基础上,提出面向大规模定制产品族信息模型并设计相应的体系结构和可视化工具,阐述了支持规模定制的核心技术实现并进行实际应用.     

交互式服装定制平台移动端设计

在“互联网+”普及的环境中,无论是消费者,还是服装定制企业,对于互联网在线服装定制都拥有较高的接受程度和需求. 交互式是一种新型的线上服务模式,它的出现为人们提供了一种新的消费理念. 针对服装定制行业的发展现状,文中提出并研究了基于WeX5的交互式服装定制平台移动端. 首先介绍了系统用到的关键技术,指出了应用移动端模式定制的优势. 然后分析了服装线上定制的需求,完成了系统移动端的设计.     

现代私人服装定制策略研究

经济全球化背景下的服装产品设计和生产均日益国际化,面对广泛且快时尚的消费市场现状,区别于流水线产品的个性化定制服装越来越受到设计师和消费者的青睐。文章从设计规划的角度阐述私人定制服装的发展及特点,结合市场运营流程构建了私人服装定制模式的基本框架与定制策略,为定制型企业或工作室提供指导与辅助。     

纸箱业大规模定制的集成信息管理系统开发

对大规模定制生产的产品设计业务流程及其集成信息管理技术进行了研究,提出一个面向大规模定制生产的集成信息管理系统框架。根据该系统框架以及瓦楞纸箱制造行业企业管理的实际需求,综合运用所研究的大规模定制生产的产品设计技术,构建了面向瓦楞纸箱制造行业大规模定制的集成信息管理系统。     

面向MTM的服装企业PLM系统研究

针对大规模定制生产模式下服装企业MTM订单无法实时处理、生产效率低、产品不能很好的符合客户需求等问题,分析了MTM、PLM的基本思想和方法及MTM生产模式对PLM系统的要求,根据某服装企业实际应用产品全生命周期管理系统的实际过程,对如何在MTM生产模式下运用PLM技术进行了研究。实践表明,应用此系统后使该服装企业缩短了服装产品制造周期,降低了生产成本,加快了产品交货时间,提高了企业的生产效率。     

探究面向大规模定制的软件开发模式

主要研究面向大规模定制的软件开发模式,对大规模定制软件生产的内涵进行了详细分析,并从动态需求管理、设计开发、模块化集成等方面对大规模定制软件开发模式的实现进行了深入研究。     

定制服装设计模式探析

从当前服装定制行业发展来看,由于服装定制的特殊性,以及现有服装设计常规化理论的不适应性,使得服装定制设计模式呈现出多种趋向。生活水平的提升,现代人群对服装品质的追求越来越强烈,个性化、多元化消费需求加速了服装定制产业的异性。文章探讨了服装定制的基本概念、发展现状、设计理论,着重对当前O2O服装定制设计模式展开探析,从线下体验、线上交易来挖掘O2O平台的构建内涵。     

Social Manufacturing for High-end Apparel Customization

Social manufacturing (SM), a novel distributed, collaborative and intelligent manufacturing mode, is proposed and developed for high-end apparel customization. The main components of SM cloud are designed, and its research topics are summarized. Then, SM's key technologies are studied. 3D technologies for apparel customization, like 3D modeling, 3D fitting mirror and 3D customization, are developed to improve the customization precision and user experience. Information based collaborative management is realized to share, communicate, and handle the information efficiently among all groups and individuals of SM cloud. Suppliers' evaluation mechanism is designed to support the optimal decisions making. Next, SM cloud is constructed in five layers for high-end apparel customization. By using SM cloud based crowd-sourcing, social resources can be allocated rationally and utilized efficiently, consumer can customize the product in any processes like innovation, design, making, marketing and service, and traditional apparel enterprise can be upgraded into SM mode for keeping it competitive in the future customization markets.      

Customization of 3D content with semantic meta-scenes

Customization of interactive three-dimensional content according to consumers requirements is a complex task, as it demands knowledge of such aspects of 3D content as geometry, structure, space, appearance and animation. In this paper, a new method of customizing interactive 3D content is presented. The method leverages semantic web techniques to enable conceptual, generalized representation of 3D content (3D meta-scenes) and on-demand customization of meta-scenes with semantic queries. Query-based content customization with the proposed method can be performed independently by different content consumers at different domain-specific levels of abstraction, with the inference of tacit knowledge. Content customization covers selection of 3D content objects, properties and relations between objects to be presented as well as introduction of new objects, properties and relations. The method has been implemented and evaluated. It significantly improves 3D content customization in comparison to previous approaches.     

Understanding the adoption of mobile innovation in China

China has already become the largest mobile communication market in the world. Yet research into what factors drive Chinese consumers adoption of mobile innovation is limited. This study makes efforts to investigate Chinese consumers’ intentions to adopt mobile innovation, with consideration of their cultural characteristics. Face, a core concept in Chinese cultural values is introduced and its effects on innovation adoption are firstly tested. The study develops and empirically tests a theoretical model incorporated four sets of adoption factors representing general perceptions and perceived social outcomes from using mobile innovation, social influences and perceived barriers. The findings indentify utilitarian perception, hedonic perception, face gains, face loss avoidance, interpersonal influence, cost and quality concern as influential factors affecting adoption intention in Chinese context. This study also provides theoretical and practical implications for academics and practitioners.     

Mass customization design of engineer-to-order products using Benders’ decomposition and bi-level stochastic programming

Leveraging product differentiation and mass production efficiency in mass customization basically entails a configure-to-order paradigm. In the engineer-to-order (ETO) business, however, companies build unique products in response to ‘foreseeable’ customer specifications. The key challenge of ETO mass customization lies in the complexity of accommodating future design changes when customers are involved in customizing design specifications. This paper proposes a two-stage, bi-level stochastic programming framework to tackle ETO mass customization. At the first stage, product platform configuration is integrated with production reconfiguration, which is formulated as a shortest path problem with resource constraints (SPPRC) to optimize production delays within the capabilities of the process platform. Benders’ decomposition algorithm is applied to solve this optimal configuration problem owing to its high computational efficiency. The second stage scrutinizes the optimal configuration resulting from the first stage for scaling optimization of design parameters (DPs) for each module. All DPs are differentiated by standard or customizable DPs. A bi-level stochastic program is implemented to leverage conflicting goals between the producer (leader) and consumer (follower) surpluses. As a result, ETO customization design is anchored with optimal values of standard DPs and optimal value ranges of customizable DPs. A case study of ship engine and power generator ETO design is presented, demonstrating the feasibility and potential of the ETO mass customization framework.     

决策树在基于消费者外表的服装营销中的应用

服装销售人员常常根据消费者的外表特征来进行快速营销活动,以提高购买率。从数据挖掘技术的角度来探讨基于消费者外表印象的快速营销技术,以帮助营销人员快速寻找外表印象营销规则。介绍了决策树算法原理;其次,讨论了消费者外表印象评价指标体系,并根据该体系由销售人员在服装店铺里进行了消费者的外表及其行为数据采集;应用了计算实例来说明服装消费者的外表营销决策树分类模型;利用工具Clementine中的决策树方法来进行营销规则的挖掘。研究表明了该应用是切实可行的。     

Service customization under capacity constraints: an auction-based model

In mass customization, companies strive to enhance customer value by providing products and services that are approximate to customers’ needs. A company’s strategy of allocating its limited capacity to meeting diverse customer requirements directly impact customer perceived value in terms of available options, cost, and schedule. Proposed in this paper is an auction-based mass customization model for solving the problem of service customization under capacity constraints. The proposed model integrates customers’ customization decision making with the allocation of company’s capacity through multilateral negotiation between the company and its customers. The negotiation is conducted through a combinatorial iterative auction designed to maximize the overall customer value given limited capacity. The auction is incentive-compatible in the sense that customers will follow the prescribed myopic best-response bidding strategy. Experimental results indicate that customization solutions computed by the proposed model are very close to the optimal one. Revenue performance is also adequate when there is sufficient competition in the market.     

Do customization programs of e-commerce companies lead to better relationship with consumers?

The purpose of this study is to propose a model that explains the consumers’ perception of customization in e-commerce. This study suggests two determinants of consumer attitude toward the e-commerce website with customization options: perceived participation and perceived company responsiveness. Consumer attitude was posited to influence consumers’ intention to consider a long-term relationship with an e-commerce company. In this model, two consumer characteristics—consumer expertise and preference stability—were considered as moderators of the relations between consumers’ perception of participation and company’s responsiveness and consumer attitude toward the customization program. The model was tested by structural equation modeling (SEM) using AMOS 14.0, and the posited relations were confirmed. The moderating effect of preference stability was found significant. The perceived participation level of those with a more stable preference influenced their attitude toward the customization experience, while the company’s responsiveness was influential only for those with a less stable preference.