Mass Customization and Design for High Density Indemnificatory Housing in China

The use of computer in architectural design shouldn’t sacrifice the pursuit of a human-oriented built environment.The technological applications should be legitimated by the objectives and motivations in multiple dimensions,but not abuse its generative power against the social and cultural interests.This article is based upon our synthetic computational design research for high density indemnificatory housing in China(Fig.1),which challenges the conventional standard design for large scale social housing in the Industrial Era,and reflects our exploration for innovative,multi-disciplinary,systematic and synthetic design in the new design paradigm of computation.It also promotes to shift the privilege of cutting-edge design techniques and avant-garde concepts from the“High(end)Architecture”to the ordinary architecture during the unprecedented built-environment development in China.Architectural design should have no discrimination between the Olympic stadiums in the capital and the social housing in the subordinate developed cities,as they both need to be innovative and meaningful.The final design research outputs address sustainable transformation initiated by the residents during the whole life span of the housing.We believe that the human factor(including stakeholders,users,designers and builders)is even more important in architectural design,city planning,urban design,landscape and interior design while technology development is accelerating.Conceptualization,imagination and systemization would become significant pacemakers which perpetuate design innovation.

CASE-BASED PRODUCT CONFIGURATION AND REUSE IN MASS CUSTOMIZATION

The increasing complexity and size of configuration knowledge bases requres the provisionof advanced methods supporting the development of the actual configuration process and design reuse.A new framework to find a feasible and practical product configuration method is presented in masscustomization. The basic idea of the appoach is to integrate case-based reasoning (CBR) with a con-straint satisfaction problem(CSP). The similarity measure between a crisp and range is also given,which is common in case retrieves. Based on the configuration model, a product platform and customerneeds, case adaptation is carried out with the repair-based algorithm. Lastly, the methodology in theelevator configuration design domain is tested.

TECHNOLOGY AND APPLICATION OF PRODUCT EVOLUTIONARY DESIGN BASED ON CONFIGURATION IN MASS CUSTOMIZATION MODE

Product customization has been recognized as an effective means to implement mass cus-tomization （MC）. A new theory and method for MC-oriented evolutionary design of configuration product is presented based on the study of developing law of evolutionary design in integrated envi-ronment, which focuses on the innovation and reuse properties of configuration product. The key technologies for general requirement modeling in quick response to customer requirement, multi-level stepwise configuration optimization driven by customer requirement and evolutionary deduction of product variable structure based on configuration association are thoroughly investigated. The suc-cessful application of the presented method in the development of real-life products demonstrates its utility, flexibility and robusticity.

Research of the Optimization Methods for Mass Customization (MC)

A group of graphical models and mathematical models a re used to describe the methods of mass customization (MC). The relationships am ong the models and methods are shown in Fig.1. Fig.1 Relationships among optimization methods for MCThe methods for MC relate to both of product and process, also customized quanti ty and deepness. The methods for MC are integrated by the work in the paper, whi ch can help to understand and use MC better. The optimization and standardization of product is the key for MC. Increasing op timization breadth in product family can help to decrease the customization quan tity in every section of production process. Increasing optimization deepness in products family can help to move the CODCP backward in production process. At the same time, the optimization and standardization of product is the key to reduce cost of customized product. The optimization of the integration of pr oduct and process is the key to reduce lead time of customized product.

REQUIREMENT PRODUCT CONFIGURATION IN MASS CUSTOMIZATION

On the basis of researching on requirement product configuration in mass customization, the concept of product family requirement class （PFRC） and requirement-matching template are put forward. A case-based requirement product configuration （CB-RPC） model and corresponding requirement product model are established. The result of requirement product configuration is obtained by using the method of two-level similar matching. In addition, the effect of the method on requirement responding is analyzed. Finally, the model and the method given are applied in elevator industry, and have improved the enterorise＇s ability of rapid responding to customer＇s reouirements.

Study on Design Methodology of Mass Customization Products

Based on introduction characteristics and classific at ion of Mass Customization (MC), the paper expounds foundations and design me thods of MC. The foundations of MC production are standardization, seriation and normality of production, guiding thought of Concurrent Engineering (CE), ap plication of CAD/CAM technology and etc. And design methods of MC products are d esign for product family, modular design, parameterization CAD, variant design, design for manufacturing (DFM) and design by customers. Design for product famil y is a method that first to design a basic form of the product, and then to with draw variant parameters to become a variable product model, makes a family or a series of product design at the same time. Modular design is that based on produ ct function analysis of different function or the same function but different sp ecification within a certain scope, divides and designs out a series of function modular, and through selection and combination of the modular can make up diffe rent products. Parameterization CAD is a CAD method that has function of dimensi on drive. Variant design is a method that under circumstance of keeping principl e constant and construction similar or likeness, properly adjusts part of constr uction and design parameters to adapt design demands. DFM demands the designer t o consider problems that will appear in manufacture in the stage of design, and to avoid them through optimal design. And design by customers is guiding custome rs to design within the scope of production capacity of enterprise and optional items that enterprise has designed to satisfy their requirements of form, functi on and price. Among them modular design, parameterization CAD and variant design are key technology of design methods of MC products. And design by customers is a main characteristic of design of customization product, and an effective sale means also.

MODEL OF OPERATING AND BALANCING ASSEMBLY LINE IN A MASS CUSTOMIZATION ENVIRONMENT

The successful implementation of mass customization lies on reengineeringtechnology and management methods to organize the production. Especially in assembly phase, variousproduct configurations, due-time penalties and order-driven strategy challenge the traditionaloperation and management of assembly lines. The business features and the operation pattern ofassembly line based on mass customization are analyzed. And the research emphatically studiesvarious technologic factors to improve customer satisfaction and their corresponding implementmethods in operating assembly line. In addition, the models are proposed for operating assembly lineunder dynamic process environment in mass customization. A genetic approach is developed to providethe optimal solution to the models. The effectiveness of the proposed approach is evaluated with anindustrial application.

The Realization of Mass Customization Using Modularization Method

In the view of the comparison of Mass Customization ( MC) with Mass Production and Customization Production, the objectives of MC are analyzed. It is pointed out that the core objectives of MC are to realize in dividuation customization, low cost, quick response to market demands. The modul arization theory is simply introduced. Based on the characteristics of modular ization, the mechanism of realizing MC with modularization is analyzed. The in dividuation customization can be realized with the different combinations of mod ules. The low cost can be realized with the scale economy and the category econo my of modules. The quick response can be realized with standard modules and its interfaces. So, the modularization is a kind of effective method in realizing MC . The modularization for MC is a systems engineering. With product modularized, production organization and management and manufacturing equipment will be chang ed. In addition, the paper also proposes a Mass Customization production model w hich is based on modularization. This Mass Customization production model is con sisted of modularization of product design, specialization of manufacturing, Vir tual Enterprises based on modularizing enterprises, and modularizing manufacturi ng equipment. The module design for MC, modularizing enterprises, and reconfigur able automation manufacturing equipment are discussed, and it is pointed out tha t they are the important supports for MC.

Agility Evaluation of Mass Customization Product Manufacturing

Mass Customization (MC) is one of the importance en te rprise produces modes in information age progressively. Mass Customization produ ct manufacturing is aimed at the objection of agile responding to customer deman d, market changing and market opportunities to combine with modern management te chnology and advanced manufacture technology, and to use the development model o f design for product family and technology concurrent. Therefore, in the environ ment of market continuing to change with a high speed, MC enterprise is required to raise its ability of controlling future market by improving its "agility of product manufacturing". So it is necessary to research about the question of agi lity evaluation of MC product manufacturing. Base on the characteristics of the Mass Customization (MC) product manufacturing and the requirement of the agile m anufacturing, this paper establish an MC product manufacturing Agility evaluatio n index system through studying MC enterprise’s organization management agility evaluation and MC products design agility evaluation and MC manufacture agility evaluation. Also, with Xi Dian Casting limited company as an example, the multi -grade fuzzy assessment method is used to evaluate its agility.

MANUFACTURING AND SERVICES:FROM MASS PRODUCTION TO MASS CUSTOMIZATION

Manufacturing and services constitute two of the five sectors of every country＇s economy;depending on the maturity of the economy,they are-in terms of employment-typically the two largest sectors.The outputs or products of an economy can also be divided into goods products（due to manufacturing,construction,agriculture and mining） and services products.To date,the goods and services products have,for the most part,been mass produced;it is the premise of this paper that recent technological advances-including flexible manufacturing,cloud computing,nanotechnology and smart sensing-can better enable the transformation from mass production to mass customization.We regard mass customization as the simultaneous and real time management of supply and demand chains,based on a taxonomy that can be defined in terms of its underpinning component and management foci.From a components perspective,we first consider the value chain of supplier,manufacturer,assembler,retailer,and customer,and then develop a consistent set of definitions for supply and demand chains based on the location of the customer order penetration point.From a management perspective,we classify the methods that are employed in the management of these chains,based on whether supply and/or demand are flexible or fixed.Interestingly,our management taxonomy highlights a very critical research area at which both supply and demand are flexible,thus manageable.Simultaneous management of supply and demand chains sets the stage for mass customization which is concerned with meeting the needs of an individualized customer market.Simultaneous and real time management of supply and demand chains set the stage for real time mass customization（e.g.,wherein a tailor first laser scans an individual＇s upper torso and then delivers a uniquely fitted jacket within a reasonable period,while the individual is waiting）.The benefits of real time mass customization cannot be over-stated as goods and services become indistinguishable and are co-produced-as ＂servgoods＂-in real time,resulting in an overwhelming economic advantage.

Industry 4.0： a way from mass customization to mass personalization production

Although mass customization, which utilizes modularization to simultaneously increase product variety and maintain mass production （MP） efficiency, has become a trend in recent times, there are some limitations to mass customization. Firstly, customers do not participate wholeheartedly in the design phase. Secondly, potential combinations are predetermined by designers. Thirdly, the concept of mass customization is not necessary to satisfy individual requirements and is not capable of providing personalized services and goods. Industry 4.0 is a collec- tive term for technologies and concepts of value chain organization. Based on the technological concepts of radio frequency identification, cyber-physical system, the Inter- net of things, Internet of service, and data mining, Industry 4.0 will enable novel forms of personalization. Direct customer input to design will enable companies to increasingly produce customized products with shorter cycle-times and lower costs than those associated with standardization and MP. The producer and the customer will share in the new value created. To overcome the gaps between mass customization and mass personalization, this paper presents a framework for mass personalization production based on the concepts of Industry 4.0. Several industrial practices and a lab demonstration show how we can realize mass personalization.

Feasibility study of large-scale mass customization 3D printing framework system with a case study on Nanjing Happy Valley East Gate

At present, the development and implementation of digital transformation are the keys to promoting high-quality industry development. The new digital fabrication method of robotic 3D printing is a research area being studied by many to tackle the issue of the declining productivity of traditional construction methods. Although many studies have been done, most of the current 3D printing projects are facing limitations in terms of scale. In order to bridge the gap, this article proposed a mass customization 3D printing framework system for large-scale projects. This article discusses how mass customization is made possible through the joint operation of the FUROBOT software and 3D printing hardware. By taking the east gate of Nanjing Happy Valley Plaza as a case study, the article demonstrates and studies the feasibility of the large-scale mass customization 3D printing framework system.

Evolution Law for Products' Components:A Result for Mass Customization Manufacture

To forecast exactly the key components＇ quantities needed for the mass customization in complex machine manufac-turing,a weighted acyclic networks directed model is constructed,and the power-law distribution of the topological properties for the networks is mined,which makes the relationship between the sum quantities of products and components as well as the relationship between the sum quantities of products and key components clear. The conclusion is that it is an equilibrium network if the time-scale is short and it is a non-equilibrium network if the time-scale is long. As for the evolution law for the components in the mass customiza-tion process,the exponent for equilibrium networks is 0.99 and the exponent for non-equilibrium networks is 1.36.

SPECIAL ISSUE EDITORIAL ON MASS CUSTOMIZATION AND SUSTAINABLE VALUE SYSTEMS

Today, new products or services must be designed to satisfy ever changing consumer demand by companies to remain competitive. Mass customization, personalized services, and integration of information and decision processes are needed to produce an increasingly diverse range of products and services. At the same time efficiency as well as flexibility of design and production processes need to be improved.

Hybrid customer requirements rating method for customer-oriented product design using QFD

Quality function deployment （QFD） is a well-known customer-oriented product design methodology. Rating the final importance of customer requirements （CRs） is really a very es- sential starting point in the implementation of QFD, since it largely affects the target setting value of design requirements. This pa- per aims to propose a novel method to deal with the relative importance ratings （RIRs） of CRs problem considering customers＇ diversified requirements and unknown information on customers＇ weights, which is an indispensable process for determining the final importance ratings of CRs. First, a new concept of customer＇s assessment structure is proposed according to the basic idea of grey relational analysis （GRA）, and then a constrained nonlinear optimization model is constructed to describe the assessment information aggregation factors of CRs considering customers＇ personalized and diversified requirements. Furthermore, an im- mune particle swarm optimization （IPSO） algorithm is designed to solve the model, and the weight vector of customers is obtained. Finally, a car door design example is introduced to illustrate the novel hybrid GRA-IPSO method＇s potential application in deter- mining the RIRs of CRs.

Extended Object Model for Product Configuration Design

This paper presents an extended object model for case-based reasoning （CBR） in product configuration design. In the extended object model, a few methods of knowledge expression are adopted, such as constraints, rules, objects, etc. On the basis of extended object model, case representation model for CBR is applied to product configuration design system. The product configuration knowledge can be represented by the extended object. The model can support all the processes of CBR in product configuration design, such as case representation, indexing, retrieving, and case revising. The presented model is an extension of the traditional object-oriented model by including the relationship class used to express the relation between the cases, constraints class used in the product configuration knowledge representation, index class used in ease retrieving, and solution class used in case revising. Therefore, the product configuration knowledge used in the product configuration design can be represented by using this model. In the end, a metering pump product configuration design system is developed on the basis of the proposed product configuration model to support customized products.

Study on an Configuration Framework for Product Family

In implementing mass customization, how to respond rapidly to customers’ requirements is a key problem. Configuration design is considered effective in early stage of product design. This paper studies a configuration method based on constraints and fuzzy decision for product family. The configuration method is evolved from constraint based product configuration. It employs fuzzy optimum selection in the reasoning process, which can select similar components when customers’ requirements can not be met precisely. In the configurator, product family is represented with GBOM(Generic Bill Of Material) and ACL(Article Characteristic List). Every node of GBOM has an ACL to list all instances of a component family. Constraints are attached to every node, which involves variable definition and constraints definition. In the reasoning process, constraint satisfaction and fuzzy optimum selection interact to search optimum solution. A prototype is developted to demonstrate how to run the configurator. The paper ends with a discussion of advantages, future work of the configuration method.

BIG DATA:UNLEASHING INFORMATION

At present, it is projected that about 4 zettabytes （or 10^＊＊21 bytes） of digital data are being generated per year by everything from underground physics experiments to retail transactions to security cameras to global positioning systems. In the U. S., major research programs are being funded to deal with big data in all five sectors （i.e., services, manufacturing, construction, agriculture and mining） of the economy. Big Data is a term applied to data sets whose size is beyond the ability of available tools to undertake their acquisition, access, analytics and/or application in a reasonable amount of time. Whereas Tien （2003） forewarned about the data rich, information poor （DRIP） problems that have been pervasive since the advent of large-scale data collections or warehouses, the DRIP conundrum has been somewhat mitigated by the Big Data approach which has unleashed information in a manner that can support informed - yet, not necessarily defensible or valid - decisions or choices. Thus, by somewhat overcoming data quality issues with data quantity, data access restrictions with on-demand cloud computing, causative analysis with correlative data analytics, and model-driven with evidence-driven applications, appropriate actions can be undertaken with the obtained information. New acquisition, access, analytics and application technologies are being developed to further Big Data as it is being employed to help resolve the 14 grand challenges （identified by the National Academy of Engineering in 2008）, underpin the 10 breakthrough technologies （compiled by the Massachusetts Institute of Technology in 2013） and support the Third Industrial Revolution of mass customization.

THE NEXT INDUSTRIAL REVOLUTION:INTEGRATED SERVICES AND GOODS

The outputs or products of an economy can be divided into services products ana gooas products （due to manufacturing, construction, agriculture and mining）. To date, the services and goods products have, for the most part, been separately mass produced. However, in contrast to the first and second industrial revolutions which respectively focused on the development and the mass production of goods, the next - or third - industrial revolution is focused on the integration of services and/or goods; it is beginning in this second decade of the 21st Century. The Third Industrial Revolution （TIR） is based on the confluence of three major technological enablers （i.e., big data analytics, adaptive services and digital manufacturing）; they underpin the integration or mass customization of services and/or goods. As detailed in an earlier paper, we regard mass customization as the simultaneous and real-time management of supply and demand chains, based on a taxonomy that can be defined in terms of its underpinning component and management foci. The benefits of real-time mass customization cannot be over-stated as goods and services become indistinguishable and are co-produced - as ＂servgoods＂ - in real-time, resulting in an overwhelming economic advantage to the industrialized countries where the consuming customers are at the same time the co-producing producers.

TOWARDS REAL-TIME CUSTOMIZED MANAGEMENT OF SUPPLY AND DEMAND CHAINS

Our focus herein is on developing an effective taxonomy for the simultaneous and real-timemanagement of supply and demand chains.More specifically,the taxonomy is developed in terms ofits underpinning components and its research foci.From a components perspective,we first considerthe value chain of supplier,manufacturer,assembler,retailer,and customer,and then develop aconsistent set of definitions for supply and demand chains based on the location of the customer orderpenetration point.From a research perspective,we classify the methods that are employed in themanagement of these chains,based on whether supply and/or demand are flexible or fixed.Interestingly,our taxonomy highlights a very critical research area at which both supply and demandare flexible,thus manageable.Simultaneous management of supply and demand chains sets the stagefor mass customization which is concerned with meeting the needs of an individualized customermarket.Simultaneous and real-time management of supply and demand chains set the stage forreal-time mass customization(e.g.,wherein a tailor first laser scans an individual's upper torso andthen delivers a uniquely fitted jacket within a reasonable period,while the individual is waiting).Thebenefits of real-time mass customization can not be over-stated as products and services becomeindistinguishable and are co-produced in real-time,resulting in an overwhelming economicadvantage.