The Customer Requirements Analysis Method of Engineering Products Based on Multiple Preference Information

To effectively evaluate the fuzziness of the market environment in product planning,a customer requirements analysis method based on multiple preference information is proposed.Firstly,decision-makers use a preferred information form to evaluate the importance of each customer requirement.Secondly,a transfer function is employed to unify various forms of preference information into a fuzzy complementary judgment matrix.The ranking vector is then calculated using row and normalization methods,and the initial importance of customer requirements is obtained by aggregating the weights of decision members.Finally,the correction coefficients of initial importance and each demand are synthesized,and the importance of customer requirements is determined through normalization.The development example of the PE jaw crusher demonstrates the effectiveness and feasibility of the proposed method.

Applying CBR to Machine Tool Product Configuration Design Oriented to Customer Requirements

Product customization is a trend in the current market-oriented manufacturing environment. However, deduction from customer requirements to design results and evaluation of design alternatives are still heavily reliant on the designer＇s experience and knowledge. To solve the problem of fuzziness and uncertainty of customer requirements in product configuration, an analysis method based on the grey rough model is presented. The customer requirements can be converted into technical characteristics effectively. In addition, an optimization decision model for product planning is established to help the enterprises select the key technical characteristics under the constraints of cost and time to serve the customer to maximal satisfaction. A new case retrieval approach that combines the self-organizing map and fuzzy similarity priority ratio method is proposed in case-based design. The self-organizing map can reduce the retrieval range and increase the retrieval efficiency, and the fuzzy similarity priority ratio method can evaluate the similarity of cases comprehensively. To ensure that the final case has the based on grey correlation analysis is proposed to evaluate similar cases best overall performance, an evaluation method of similar cases to select the most suitable case. Furthermore, a computer-aided system is developed using MATLAB GUI to assist the product configuration design. The actual example and result on an ETC series machine tool product show that the proposed method is effective, rapid and accurate in the process of product configuration. The proposed methodology provides a detailed instruction for the product configuration design oriented to customer requirements.

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.

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.

A Research Review on the Key Technologies of Intelligent Design for Customized Products

The development of technologies such as big data and cyber-physical systems （CPSs） has increased the demand for product design. Product digital design involves completing the product design process using advanced digital technologies such as geometry modeling, kinematic and dynamic simulation, multi- disciplinary coupling, virtual assembly, virtual reality （VR）, multi-objective optimization （MOO）, and human-computer interaction. The key technologies of intelligent design for customized products include： a description and analysis of customer requirements （CRs）, product family design （PFD） for the customer base, configuration and modular design for customized products, variant design for customized products, and a knowledge push for product intelligent design. The development trends in intelligent design for customized products include big-data-driven intelligent design technology for customized products and customized design tools and applications. The proposed method is verified by the design of precision computer numerical control （CNC） machine tools.

Construct Method of Predicting Satisfaction Model Based on Technical Characteristics

In order to construct objective relatively mapping relationship model between customer requirements and product technical characteristics, a novel approach based on customer satisfactions information digging from case products and satisfaction information of expert technical characteristics was put forward in this paper. Technical characteristics evaluation values were expressed by rough number, and technical characteristics target sequence was determined on the basis of efficiency, cost type and middle type in this method. Use each calculated satisfactions of customers and technical characteristics as input and output elements to construct BP network model. And we use MATLAB software to simulate this BP network model based on the case of electric bicycles.

Innovative Product Design Based on Customer Requirement Weight Calculation Model

In the processes of product innovation and design, it is important for the designers to find and capture customer＇s focus through customer requirement weight calculation and ranking. Based on the fuzzy set theory and Euclidean space distance, this paper puts forward a method for customer requirement weight calculation called Euclidean space distances weighting ranking method. This method is used in the fuzzy analytic hierarchy process that satisfies the additive consistent fuzzy matrix. A model for the weight calculation steps is constructed; meanwhile, a product innovation design module on the basis of the customer requirement weight calculation model is developed. Finally, combined with the instance of titanium sponge production, the customer requirement weight calculation model is validated. By the innovation design module, the structure of the titanium sponge reactor has been improved and made innovative.

Research on customer-oriented product configuration technology of aircraft

Due to the defects of current aircraft product configuration technology, such as the gap between product design and cus- tomers＇ requirements, the low configuration efficiency and etc. a customer-oriented product configuration solution of aircraft was proposed in this paper. Basing on a deep investigation into the market and the structure of the aircraft, this paper proposed a method of dividing and creating the aircraft options, in which we set up optional constraints to meet the demand of configuration and then optimized the constraint algorithm. This work can help to realize the optimum association between the aircraft options and modules. Basing on a research on customer demand, The paper established a customer demand model and a mapping relationship which exists between customer demand and aircraft options, It can also help to make a great contribution to build customer personalized demand of the aircraft configuration orocess and the aircraft confimiration library.

Using supplementary reviews to improve customer requirement identification and product design development

A clear understanding of customer needs is key to the success of new product development and customer-centric product design.Online reviews,particularly initial reviews,are commonly used as effective sources for mining customer requirements.Although customers may post truer and more objective supplementary reviews after a period of product use,such reviews are often overlooked when identifying customer requirements for product design improvement.In this study,we proposed a framework for identifying customer requirements by combining initial and supplementary reviews based on text mining.We categorized the identified customer needs into five product attribute categories using the Kano model.Two case studies were conducted in the laptop and cell phone industries to demonstrate the effectiveness of our method.Thus,dynamic customer requirements and satisfaction can be accurately mined and captured when considering supplementary reviews.In practice,the appropriate use of supplementary reviews may provide valuable guidance for product design and development strategies.

Resilience strategies for sustainable supply chains under budget constraints in the post COVID-19 era

The COVID-19 outbreak has caused uncertainty risk surges,increased sustainable supply chain vulnerabilities,and challenges to sustainable supply chain resilience(SSCR)management.Therefore,improving SSCR is necessary to alleviate vulnerabilities,and SSCR management must generate large capital investments.However,the economic downturn brought about by the COVID-19 epidemic has made some companies have limited budgets that can be used to improve SSCR.Therefore,the design of resilience solutions needs to fully consider the constraints of budgetary costs.Most of the existing related literature only discusses optimal resilience solutions under certain cost constraints,so such resilience solutions cannot be applied to most enterprises.In this study,we set the cost constraint as a variable quantity,using resilience efficiency and customer satisfaction as indicators,to determine the changing laws of optimal resilience strategies when cost constraints change.These rules can be applied to enterprises with different budgeted costs.Our findings suggest that companies should prioritize sacrificing resilience measures(RMs)related to adaptive capacity when budget costs gradually decline,and RMs related to absorptive capacity are indispensable at all budget levels.Furthermore,the pursuit of environmental and social sustainability cannot be abandoned,no matter how limited the flexible budget may be.