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product development cost estimation through ontological models-a literature review

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Journal of Management Analytics 2019年第2期6卷 209-229页

作者： Rafael Voltolini Kaio Vasconcelos Milton Borsato Margherita Peruzzini Programa de Pós-Graduação em Engenharia Mecânica e de Materiais(PPGEM) Universidade Tecnológica Federal do Paraná(UTFPR)CuritibaBrasil Dipartimento di Ingegneria“Enzo Ferrari”(DIEF) Universitàdegli Studi di Modena e Reggio Emilia(UNIMORE)ModenaItaly

The early stages of product development are characterized by uncertainties.Designers must deal with challenges that arise unexpectedly in an agile and responsive manner.Expert information systems based on ontological models are a promising approach to capture knowledge and rationale of domain specialists,either for decision making or knowledge reuse.The present study presents a bibliometric analysis on the use of ontologies in product development for cost estimation.It identifies trends and research opportunities that can orient future works.From a general search in scientific databases,31 articles were found and selected based on criteria established using the Proknow-C method.Results indicate that there are several possibilities for solutions using ontological and hybrid,transdisciplinary approaches.Using intelligent systems is not only promising but is also challenging as a new and real transdisciplinary research area of interest.

关键词： Proknow-C product development ontology cost review

Review of sentiment analysis: An emotional product development view

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Frontiers of Engineering Management 2022年第4期9卷 592-609页

作者： Hong-Bin YAN Ziyu LI School of Business East China University of Science and TechnologyShanghai 200237China

Conveying consumers’specific emotions in new products,referred to as emotional product development or emotional design,is strategically crucial for manufacturers.Given that sentiment analysis(SA)can extract and analyze people’s opinions,sentiments,attitudes,and perceptions regarding different products/services,SA-based emotional design may provide manufacturers with real-time,direct,and rapid decision support.Despite its considerable advancements and numerous survey and review articles,SA is seldom considered in emotional design.This study is among the first efforts to conduct a thorough review of SA from the view of emotional design.The comprehensive review of aspect-level SA reveals the following:1)All studies focus on extracting product features by mixing technical product features and consumers’emotional perceptions.Consequently,such studies cannot capture the relationships between technical and emotional attributes and thus cannot convey specific emotions to the new products.2)Most studies use the English language in SA,but other languages have recently received more interest in SA.Furthermore,after conceptualizing emotion as Kansei and introducing emotional product development and Kansei Engineering,a review of the data-driven emotional design is then conducted.A few efforts start to study emotional design with the help of SA.However,these studies only focus on either analyzing consumers’preferences on product features or extracting emotional opinions from online reviews,thus cannot realize data-driven emotional product development.Finally,some research opportunities are provided.This study opens a broad door to aspect-level SA and its integration with emotional product development.

关键词： sentiment analysis emotion product development Kansei Engineering

A DESIGN FOR ENVIRONMENT METHODOLOGY FOR EVALUATION AND IMPROVEMENT OF DERIVATIVE CONSUMER ELECTRONIC product development

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Journal of Systems Science and Systems Engineering 2011年第3期20卷 260-274页

作者： Tzu-An CHIANG Z.H.CHE Tung-Te WANG Department of Business Administration National Taipei College of Business Department of Industrial Engineering & Management National Taipei University of Technology

Increasing environmental awareness and stringent environmental regulations have motivated many companies to incorporate ecodesign into product development. To assist companies to address the challenge, this research presents a design for environment （DfE） methodology to evaluate and improve derivative consumer electronic product development using a back-propagation neural network （BPNN） model and a technique for order preference by similarity to ideal solution （TOPSIS） method. Based on use of a BPNN, the life cycle assessment （LCA） models are developed to estimate quantities of hazardous chemical substances and energy consumption for a derivative consumer electronic product throughout the product life cycle. A performance evaluation and improvement model for DfE is then devised based on the TOPSIS method to analyze the ecodesign performance and provide concrete improvement strategies. With the aforementioned analysis of environmental performance, an enterprise can profoundly understand and significantly enhance the relative DfE performance of a new product compared to the similar competitive products. Finally, we apply an optical mouse development project as a case to elaborate and demonstrate the effectiveness of the proposed methodology. These analytical results can let us understand the DfE performance ranking and acquire the maximum reduced quantity of each DfE criterion for each module of a new product. Meanwhile, to enhance the green competitiveness of the new product, we recommend that the engineers should decrease the area of the circuit board of the new product. In addition, the material of the USB cable for the new product should be switched from the PVC material to the PE material.

关键词： Back-propagation neural network TOPSIS design for environment ecodesign product development

Integration of chemical product development, process design and operation based on a kilo-plant

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Progress in Natural Science:Materials International 2006年第6期16卷 600-606页

作者： QIAN Yu, WU Zhihui and JIANG Yanbin (School of Chemical Engineering, South China University of Technology, Guangzhou 510640, China) School of Chemical Engineering South China University of Technology Guangzhou 510640 China

Presented in this paper is an integrated approach of computer-aided product development, process design and operation analysis based on a kilo-plant. The implemented kilo-plant, as a research platform to manufacture product in kilogram-scale, was designed especially for fine and specialty chemicals. The characteristics of product synthesis, process operation and product quality control are investigated coupled with computer-aided monitoring, online modeling, simulation and operation process optimization. In this way, chemical product discovery, process design and operation are integrated in a systematic approach, in the aim to respond to rapid changing marketplace demands to new products.

关键词： integration kilo-plant product development process operation process analysis.

Analysis on the development Model of Relic and Museum Tourism products Based on ERP Analysis:A Case Study on Shandong Province

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Journal of Landscape Research 2024年第1期16卷 77-82页

作者： WANG Xia Taishan University Tai’anShandong 271000China

In recent years, the trend of people choosing relic and museum tourism during their vacationand leisure time is growing day by day, mainly because it touches people's feelings about historical relicsand cultural heritage. The development of relic and museum tourism products is not only the inheritanceof culture and the protection of cultural relics, but also the promotion of tourism consumption under thebackground of cultural tourism integration, which has promoted the development of regional economy.With the relic and museum tourism resources in Shandong Province as the research object, through theanalysis of its resources, market and products, this paper put forward three applicable modes of relic andmuseum tourism product development, including independent development, joint development, and artauthorization, and proposed specific suggestions around the three modes.

关键词： ERP analysis Relic and museum tourism product development Shandong Province

Study on the Protection and product development of Intangible Cultural Heritage with Computer Virtual Reality Technology

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国际计算机前沿大会会议论文集 2021年第1期 515-527页

作者： Yimin Shen Jiaxing Nanyang Polytechnic Institute JiaxingZhejiangChina

The rapid development of computer virtual reality technology has provideda brand-new idea for the inheritance, protection, product design and disseminationof China’s intangible cultural heritage, which is of great practical significance.Based on the investigation of the status quo of computer virtual realitytechnology in the protection and development of intangible cultural heritage, thispaper proposes an innovative method for the intangible cultural heritage protectionmode integrated with computer virtual reality technology. Besides, this paper alsoattempts to obtain a development strategy for the inheritance, protection, integration,development of virtual reality of intangible cultural heritage by analyzing theIntangible Cultural Heritage Project of Zhejiang Province with Xiuzhou peasantpaintings as a study case. This paper represents the achievement of the projecttitled Research on Collaborative development of Design Majors under the Backgroundof “Integration of production and Education” (jg20190966), one of thesecond batch of teaching reform research projects of higher education in ZhejiangProvince during the 13th Five-Year Plan.

关键词： Virtual reality technology Intangible cultural heritage Protection product development

Research on DSM-based product development Coupling Activity Overlapped Execution Model

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Research on DSM-based Product Development Coupling Activity ...

INDUSTRIAL ENGINEERING AND VISUALISATION:A product development PERSPECTIVE

作者： Qi-hua TIAN Yu-rong ZHANG Ze-long LIU Jun-zhe YAN Xiang-man ZHOU College of Mechanical and Power Engineering China Three Gorges University Wuhan Fingu Electronic Technology Co. Ltd.

Aiming at the problem of overlapping execution of coupling activities in the product development process,using Markov Chain method to describe the iterative process of coupling activities based on the design structure matrix（DSM）.Then introduced the information output,input time factor matrix and rework risk matrix to describe the complex information interaction between design activities,constructed a model of rework time caused by design activity coupling and iteration by quantifying the overlap of design activities,and then established the entire project time cost model for coupled activity sets.Finally,an application analysis was performed with examples.The research shows that this method can effectively reduce product development time and provide a certain theoretical basis for the rational planning and scientific guidance of the overlapping execution mode of coupled activities in the product development process.

关键词： product development Coupling design Overlapping activities Designing structural matrix Time cost

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INDUSTRIAL ENGINEERING AND VISUALISATION:A PRODUCT DEVELOPME...

Knowledge-driven material design platform based on the whole-process simulation and modeling

2005年中国机械工程学会年会

作者： YAN Xiutian (Department of Design, Manufacture and Engineering Management, The University of Strathclyde, Glasgow, UK)

＜正＞This paper describes the teaching and research work carried out in the department of design, manufacture and engineering management of the university of Strathclyde, Glasgow, UK. The paper firstly gives an overview of industrial engineering, and visualisation. This will then be explored and discussed in the context of teaching and research into product development. Focus of the paper will be on the latest development and application of computer technologies applied in modern product development, including both domestic products as well as industrial systems. The paper will describe the applications of these advanced computer techniques in various aspects of computer modelling and evaluation. Some past projects results will be used to illustrate the role computer techniques play in modern engineering and engineering design.

关键词： visualisation simulation product development industrial engineering

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International Journal of Modeling, Simulation, and Scientific Computing 2022年第2期13卷 1-15页

作者： Gongzhuang Peng Tie Li Xiang Zhai Wenzheng Liu Heming Zhang National Engineering Research Center for Advanced Rolling Technology University of Science and Technology Beijing Beijing 100083 P.R.China Shanghai Electro-Mechanical Engineering Institute Shanghai 201109 P.R.China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing 100854 P.R.China Beijing Complex product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing 100854P.R.China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing 100854P.R.China National CIMS Engineering Research Center Tsinghua University Beijing 100084P.R.China

In order to realize the agility,collaboration and visualization of alloy material devel-opment process,a product development platform based on simulation and modeling technologies is established in this study.In this platform,the whole-process simulation module builds multi-level simulation models based on metallurgical mechanisms from the production line level,the thermo-mechanical coupling field level and the microstructure evolution level.The design knowledge management module represents the multi-source heterogeneous material design knowledge through ontology model,including customers’requirement knowledge,material component knowledge,process design knowledge and quality inspection knowledge,and utilizes the case-based reasoning approach to reuse the knowledge.The data-driven modeling module applies machine learning algorithms to mine the relationships between product mechanical properties,material components,and process parameters from historical samples,and utilizes multi-objective optimiza-tion algorithms to find the optimal combination of process parameters.Application of the developed platform in actual steel mills shows that the proposed method helps to improve the efficiency of product design process.

关键词： product development knowledge-based engineering multi-scale simulation performance prediction model