Relevant bibliographies by topics / Product-based

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Product-based'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Product-based"

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Veeramalai, S., Mr T. Praveen, and S. Pradeepa Natarajan. "Cost Based On Product Quality Prediction Using Datamining." International Journal of Trend in Scientific Research and Development Special Issue, Special Issue-Active Galaxy (2018): 38–42. http://dx.doi.org/10.31142/ijtsrd14564.

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Zhang, Yuzhong, and Chongwen Wang. "Product Images Retrieval Based on Smart Mobile Devices." International Journal of Computer Theory and Engineering 8, no. 5 (2016): 403–8. http://dx.doi.org/10.7763/ijcte.2016.v8.1079.

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Jasper, Jonas. "Virtual Reality-Based Product Representations in Conjoint Analysis." INTERNATIONAL JOURNAL OF INNOVATION AND ECONOMIC DEVELOPMENT 4, no. 6 (2019): 51–67. http://dx.doi.org/10.18775/ijied.1849-7551-7020.2015.46.2004.

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Innovations are an important factor for companies to build and sustain a competitive advantage. Even though companies generate up to 51 % of their income with products and services launched less than three years ago, the failure rate of new product development is still at around 90 %. One way to reduce the failure rate of innovations is to conduct customers’ preference measurements in the early stages of new product development processes. However, customers often display a substantial amount of uncertainty when having to evaluate highly innovative products as they may not be able to grasp its features and functionalities. Therefore, some empirical studies have already compared different presentation forms in a conjoint setting. These studies aim to optimize preference measurement results by exposing respondents to state-of-the-art product descriptions in the new product development process. Based on a quantitative-empirical analysis, this thesis contributes to this research vein by integrating virtual reality-based (VR) product representations within a conjoint setting for the measurement of preferences in the development process of a technically complex innovation. The results of this study point out that VR offers the potential for early customer integration within the new product development process.
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Das, Nakul C., Shamim Ripon, Orin Hossain, and Mohammad Salah Uddin. "Requirement Analysis of Product Line Based Semantic Web Services." Lecture Notes on Software Engineering 2, no. 3 (2014): 210–17. http://dx.doi.org/10.7763/lnse.2014.v2.125.

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Ma, Y. S., N. Sajadfar, and L. Campos Triana. "A Feature-Based Semantic Model for Automatic Product Cost Estimation." International Journal of Engineering and Technology 6, no. 2 (2014): 109–13. http://dx.doi.org/10.7763/ijet.2014.v6.676.

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Chen, Zhen Yu, and Yong Zeng. "Classification of Product Requirements Based on Product Environment." Concurrent Engineering 14, no. 3 (2006): 219–30. http://dx.doi.org/10.1177/1063293x06068389.

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Zeng, F. S., and Y. Jin. "Study on product configuration based on product model." International Journal of Advanced Manufacturing Technology 33, no. 7-8 (2006): 766–71. http://dx.doi.org/10.1007/s00170-006-0500-z.

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Kristensen, Leslie. "Evaluating product concepts based on product life phases." Materials & Design 15, no. 4 (1994): 211–17. http://dx.doi.org/10.1016/0261-3069(94)90005-1.

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Schuh, Günther, Stefan Rudolf, and Michael Riesener. "Similarity-based Product Configuration." Procedia CIRP 17 (2014): 290–95. http://dx.doi.org/10.1016/j.procir.2014.01.056.

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Montgomery, Alan. "Small Product-Based Enterprises." Industry and Higher Education 7, no. 1 (1993): 8–10. http://dx.doi.org/10.1177/095042229300700102.

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This article argues that ‘products’ are more effective than ‘consultants’ or publications at transferring technology from universities to industry. Based mainly on experience in IT, and with an eye specifically on the UK, the article challenges widely-held beliefs about the best way to diffuse technology from academic research establishments to industrial applications.
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Dissertations / Theses on the topic "Product-based"

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Pereira, Juliana Alves. "Search-based product configuration in software product lines." Universidade Federal de Minas Gerais, 2014. http://hdl.handle.net/1843/ESBF-9Q4FQ9.

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Software product lines (SPL) is a software engineering method for creating configurable software systems that can be adapted to a variety of requirements. SPL uses feature models to document the commonalities and variabilities of products. The key challenge is to derive a product configuration that satisfies all business and costumer requirements. Customer requirements are usually neglected, although product configuration has already been investigated in the literature. This dissertation presents a search-based approach to tackle the problem of finding the optimal product configuration that maximizes the customer satisfaction. The latter is modeled as an optimization problem. An exact algorithm and a heuristic are proposed to solve the problem and implemented in a prototype tool. Computational experiments showed that the exact algorithm can find the optimal product configuration for real-life instances found in the literature and that the optimality gap of the heuristic is at most 3%.<br>Linha de produtos de software (LPS) é um método de engenharia de software para a criação de sistemas de software configuráveis que podem ser adaptados a uma variedade de conjuntos de requisitos. LPS comumente usa modelo de características para capturar e documentar as semelhanças e variabilidades de produtos. O principal desafio é derivar uma configuração de produto que satisfaça todos os requisitos do negócio e do cliente. Os requisitos dos clientes são normalmente negligenciados, embora a configuração do produto já foi investigada na literatura. Esta dissertação apresenta uma abordagem de engenharia de software baseada em busca para resolver o problema de encontrar a configuração de produto ótima que maximiza a satisfação do cliente. Este último é modelado como um problema de otimização. Um algoritmo exato e uma heurística são propostas para resolver o problema e implementado em uma ferramenta protótipo. Experimentos computacionais mostraram que o algoritmo exato pode encontrar a configuração ótima do produto para instancias reais da literatura e que a diferença entre o resultado heurístico e a solução ótima é de no máximo 3%.
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Tideman, Martijn. "Scenario based product design." Enschede : University of Twente [Host], 2008. http://doc.utwente.nl/58863.

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Lagos, Nikolaos. "Knowledge-based product support systems." Thesis, Cardiff University, 2007. http://orca.cf.ac.uk/54573/.

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This research helps bridge the gap between conventional product support, where the support system is considered as a stand-alone application, and the new paradigm of responsive one, where the support system frequently communicates with its environment and reacts to stimuli. This new paradigm would enable product support knowledge to be captured, stored, processed, and updated automatically, being delivered to the users when, where and in the form they need it. The research reported in this thesis first defines Product Support Systems (PRSSs) as electronic means that provide accurate and up-to-date information to the user in a coherent and personalised manner. Product support knowledge is then identified as the integration of product, task, user, and support documentation knowledge. Next, the thesis focuses on an ontology-based model of the structure, relations, and attributes of product support knowledge. In that model product support virtual documentation (PSVD) is presented as an aggregation of Information Objects (IOs) and Information Object Clusters (IOCs). The description of PSVD is followed by an analysis of the relation between IOs, IOCs, and domain knowledge. Then, the thesis builds on the ontology-based representation of product support knowledge and explores the synergy between product support, problem solving, and knowledge engineering. As a result, a structured problem solving approach is introduced that combines case-based adaptation and model-based generation techniques. Based on that approach a knowledge engineering framework for product support systems is developed. A conceptual model of context-aware product support systems that extends the framework is then introduced. The conceptual model includes an ontology-based representation of knowledge related to the users, their activities, the support environment, and the device being used. An approach to semi-automatically integrating design and documentation data is also proposed as part of context-aware product support systems development process.
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Loobuyck, Ugo. "Constructiveness-Based Product Review Classification." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412330.

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Promoting constructiveness in online comment sections is an essential step to make the internet a more productive place. On online marketplaces, customers often have the opportunity to voice their opinion and relate their experience with a given product. In this thesis, we investigate the possibility to model constructiveness in product review in order to promote the most informative and argumentative customer feedback. We develop a new constructiveness 4-class scale taxonomy based on heuristics and specific categorical criteria. We use this taxonomy to annotate 4000 Amazon customer reviews as our training set, referred to as the Corpus for Review Constructiveness (CRC). In addition to the 4-class constructiveness tag, we include a binary tag to compare modeling performance with previous work. We train and test several computational models such as Bidirectional Encoder Representations from Transformers (BERT), a Stacked Bidirectional LSTM and a Gradient Boosting Machine. We demonstrate our annotation scheme’s reliability with a set of inter-annotator agreement experiments, and show that good levels of performance can be reached in both multiclass setting (0.69 F1 and 57% error reduction over the baseline) and binary setting (0.85 F1 and 71% error reduction). Different features are evaluated individually and in combination. Moreover, we compare the advantages, downsides and performance of both feature-based and neural network models. Finally, these models trained on CRC are tested on out-of-domain data (news article comments) and shown to be nearly as proficient as on in-domain data. This work allows the extension of constuctiveness modeling to a new type of data and provides a new non-binary taxonomy for data labeling.
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Fotrousi, Farnaz, and Katayoun Izadyan. "Analytics-based Software Product Planning." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5053.

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Context. Successful software product management concerns about developing right software products for right markets at the right time. The product manager, who carries responsibilities of planning, requires but does not always have access to high-quality information for making the best possible planning decisions. The following master thesis concentrates on proposing a solution that supports planning of a software product by means of analytics. Objectives. The aim of the master thesis is to understand potentials of analytics in product planning decisions in a SaaS context. This thesis focuses on SaaS based analytics used for portfolio management, product roadmapping, and release planning and specify how the analytics can be utilized for planning of a software product. Then the study devises an analytics-based method to enable software product planning. Methods. The current study was designed with a mixed methodology approach, which includes the literature review and survey researches as well as case study under the framework of the design science. Literature review was conducted to identify product planning decisions and the measurements that support them. A total of 17 interview based surveys were conducted to investigate the impact of analytics on product planning decisions in product roadmapping context. The result of the interviews ended in an analytics-based planning method provided under the framework of design science. The designed analytics-based method was validated by a case study in order to measure the effectiveness of the solution. Results. The identified product planning decisions were summarized and categorized into a taxonomy of decisions divided by portfolio management, roadmapping, and release planning. The identified SaaS-based measurements were categorized into six categories and made a taxonomy of measurements. The result of the survey illustrated that importance functions of the measurement- categories are not much different for planning-decisions. In the interviews 61.8% of interviewees selected “very important” for “Product”, 58.8% for “Feature”, and 64.7% for “Product healthiness” categories. For “Referral sources” category, 61.8% of responses have valuated as “not important”. Categories of “Technologies and Channels” and “Usage Pattern” have been rated majorly “important” by 47.1% and 32.4% of the corresponding responses. Also the results showed that product use, feature use, users of feature use, response time, product errors, and downtime are the first top measurement- attributes that a product manager prefers to use for product planning. Qualitative results identified “product specification, product maturity and goal” as the effected factors on analytics importance for product planning and in parallel specified strengths and weaknesses of analytical planning from product managers’ perspectives. Analytics-based product planning method was developed with eleven main process steps, using the measurements and measurement scores resulted from the interviews, and finally got validated in a case. The method can support all three assets of product planning (portfolio management, roadmapping, and release planning), however it was validated only for roadmapping decisions in the current study. SaaS-based analytics are enablers for the method, but there might be some other analytics that can assist to take planning decisions as well. Conclusion. The results of the interviews on the roadmapping decisions indicated that different planning decisions consider similar importance for measurement-categories to plan a software product. Statistics about feature use, product use, response time, users, error and downtime have been recognized as the most important measurements for planning. Analytics increase knowledge about product usability and functionality, and also can assist to improve problem handling and client-side technologies. But it has limitations regarding to receiving formed-based customer feedback, handling development technologies and also interpreting some measurements in practice. Immature products are not able to use analytics. To create, remove, or enhance a feature, the data trend provides a wide view of feature desirability in the current or even future time and clarifies how these changes can impact decision making. Prioritizing features can be performed for the features in the same context by comparing their measurement impacts. The analytics-based method covers both reactive and proactive planning.
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Momma, Atsuhito 1966. "Value delivery through product-based service." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/9223.

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Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2000.<br>Includes bibliographical references (leaf 69).<br>Products and services are two ways firms delivery value to customers. In some situations firms augment physical products with services related to that product. In other situations the service offered to customers is the primary offering and it is enabled by a product. This paper investigates enterprise resource planning (ERP) software tracking its evolution from predominantly a product with associated services to an offering as a service enabled by the software product. Frameworks have been developed to analyze service offerings. Two such frameworks capture causal relationships to customer value and customer satisfaction. This paper analyzes these frameworks and applies one of them to SAP R/3 ERP software as the offering evolved towards a more pure service offering (product-based). The paper then analyzes the sufficiency and appropriateness of one framework, the service profit chain, to the current offering of the SAP R/3 ERP application service provider (ASP) product, MySAP.com. Several additions are suggested to enhance the service profit chain model.<br>by Atsuhito Momma.<br>S.M.M.O.T.
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Karhu, Vesa. "Product model based design of precast facades." Licentiate thesis, KTH, Real Estate and Construction Management, 1997. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-728.

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<p>In Finland, approximately 80 % of the facades of buildingsare manufactured as precast units. Currently one of theobstacles to making the overall design and construction ofprecast building facades more efficient is the inefficientexchange of data about facades between architects, structuralengineers and precast element manufacturers. The product modelapproach seems to offer a new methodology for data exchange andsharing which would solve many of the current problems. Thisthesis presents the results of research in which this approachwas tested.</p><p>The prevailing way of designing facades was chosen as areference process model. Based on an analysis of data needs inthe different stages of the process a product data model of afacade was developed. The product data model was restricted tofacades only and does not include other information about thebuilding. Central data structures in the conceptual schemadefine how a precast concrete facade consists of precastconcrete units, i.e., elements. Structural wall layers that mayhave openings form the elements.</p><p>The conceptual schema was implemented as a prototype whichwas based on existing software, modified and further developed.The prototype was tested by an architectural design company, astructural design company and a manufacturer. The mainconclusion of testing was that the data produced in thearchitectural design is directly usable in further design. Thestructural or element design may use the architectural data assuch. Also, it is possible to create applications that takeinto account the architect's preferred design approach.</p><p><b>KEYWORDS:</b>facade, precast concrete, data exchange,object oriented, architectural design</p>
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Ortloff, Dirk. "Product engineering for silicon based MEMS IP." [S.l.] : [s.n.], 2006. http://www.ub.uni-siegen.de/epub/diss/ortloff.htm.

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Ericson, Åsa. "A need-based approach to product development /." Luleå : Division of Functional Product Development, Department of Applied Physics and Mechanical Engineering, Luleå University of Technology, 2007. http://epubl.luth.se/1402-1544/2007/68.

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Olimpiew, Erika Mir. "Model-based testing for software product lines." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3039.

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Thesis (Ph.D.)--George Mason University, 2008.<br>Vita: p. 276. Thesis director: Hassan Gomaa. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Information Technology. Title from PDF t.p. (viewed July 3, 2008). Includes bibliographical references (p. 267-275). Also issued in print.
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Books on the topic "Product-based"

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Soenen, René, and Gustav J. Olling, eds. Feature Based Product Life-Cycle Modelling. Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35637-2.

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Mehra, Neelesh Kumar, and Arvind Gulbake. Micro- and Nanotechnologies-Based Product Development. CRC Press, 2021. http://dx.doi.org/10.1201/9781003043164.

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Drakopoulos, S. A. Threshold based demand and product market clearing. University of Aberdeen. Department of Economics, 1990.

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Tang, Dunbing, Leilei Yin, and Inayat Ullah. Matrix-based Product Design and Change Management. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5077-0.

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Tokuşoğlu, Özlem, ed. Food By-Product Based Functional Food Powders. CRC Press, 2018. http://dx.doi.org/10.1201/9781315373607.

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Pickard, Andrew David. Product innovation in a new technology based firm. Aston University. Interdisciplinary Higher Degrees Scheme, 1986.

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Ram, S. A knowledge-based approach for screening product innovations. Marketing Science Institute, 1993.

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Ailawadi, Kusum L. A product-market-based measure of brand equity. Marketing Science Institute, 2002.

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Ram, S. A knowledge-based approach for screening product innovations. Marketing Science Institute, 1993.

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Soenen, R. Feature Based Product Life-Cycle Modelling: IFIP TC5. Springer US, 2003.

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Book chapters on the topic "Product-based"

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Kjellberg, T. "Product modelling and model based product realisation." In Cooperative Knowledge Processing for Engineering Design. Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35357-9_19.

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Postema, Herman, and J. Henk Obbink. "Platform Based Product Development." In Software Product-Family Engineering. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47833-7_36.

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Harvey, Alan L. "Natural Product-Based Libraries." In Plant Chemical Biology. John Wiley & Sons, Inc, 2013. http://dx.doi.org/10.1002/9781118742921.ch2.3.

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Hvam, Lars, and Martin Malis. "Knowledge Based Product Configuration." In The Customer Centric Enterprise. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55460-5_17.

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Simpson, Timothy W., Zahed Siddique, and Jianxin Roger Jiao. "Platform-Based Product Family Development." In Product Platform and Product Family Design. Springer US, 2006. http://dx.doi.org/10.1007/0-387-29197-0_1.

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Gero, John S., and Udo Kannengiesser. "Towards Agent-Based Product Modelling." In Knowledge Intensive Design Technology. Springer US, 2004. http://dx.doi.org/10.1007/978-0-387-35708-9_1.

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Duke, Stephen O., Daniel K. Owens, and Franck E. Dayan. "Natural Product-Based Chemical Herbicides." In Weed Control. CRC Press, 2018. http://dx.doi.org/10.1201/9781315155913-8.

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Li, W. D., S. H. Ding, and K. Popplewell. "Heterogeneous Material-Based Product Modelling." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10430-5_8.

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Huang, George Q., and K. L. Mak. "Web-Based Collaborative Product Definition." In Internet Applications in Product Design and Manufacturing. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55778-1_12.

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Xiao, Kang, Xiabing Zhou, Zhongqing Wang, Xiangyu Duan, and Min Zhang. "Question Generation Based Product Information." In Natural Language Processing and Chinese Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32236-6_40.

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Conference papers on the topic "Product-based"

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Chen, Hongwu, Shiming Wang, Xiufang Cui, and Kezheng Huang. "Product Growth Design Based Product Gene." In 2007 International Conference on Mechatronics and Automation. IEEE, 2007. http://dx.doi.org/10.1109/icma.2007.4303728.

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Xu Xiaojuan and Chen Lingjiang. "Product Identity based waterpipe fittings product development." In 2010 IEEE 11th International Conference on Computer-Aided Industrial Design & Conceptual Design 1. IEEE, 2010. http://dx.doi.org/10.1109/caidcd.2010.5681291.

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Wang Lijuan, Zhang Xu, and Wang Tie. "Service-based research on product configuration based on product platform." In International Technology and Innovation Conference 2006 (ITIC 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20060922.

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Chen, Hong-wu, Shi-ming Wang, Shou-qi Cao, and Ke-zheng Huang. "Mechanical Product Growth Design Based Product Genetic Engineering." In 16th International Conference on Artificial Reality and Telexistence-Workshops (ICAT'06). IEEE, 2006. http://dx.doi.org/10.1109/icat.2006.83.

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Ning, Yan, Peter Sandborn, and Michael Pecht. "Prognostics-based product warranties." In 2013 IEEE Conference on Prognostics and Health Management (PHM). IEEE, 2013. http://dx.doi.org/10.1109/icphm.2013.6621436.

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Pecht, Michael, and Jie Gu. "Prognostics-based product qualification." In 2009 IEEE Aerospace conference. IEEE, 2009. http://dx.doi.org/10.1109/aero.2009.4839686.

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Heck, Melanie, Janick Edinger, and Christian Becker. "Gaze-based Product Filtering." In UIST '19: The 32nd Annual ACM Symposium on User Interface Software and Technology. ACM, 2019. http://dx.doi.org/10.1145/3332167.3357120.

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Al-Hajjaji, Mustafa, Jacob Kruger, Sandro Schulze, Thomas Leich, and Gunter Saake. "Efficient Product-Line Testing Using Cluster-Based Product Prioritization." In 2017 IEEE/ACM 12th International Workshop on Automation of Software Testing (AST). IEEE, 2017. http://dx.doi.org/10.1109/ast.2017.7.

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Sakai, Tanaka, and Shimomura. "Product life cycle design based on product life control." In 2003. 3rd International Symposium on Environmentally Conscious Design and Inverse Manufacturing - EcoDesign'03. IEEE, 2003. http://dx.doi.org/10.1109/ecodim.2003.1322645.

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Chen Hangyue and Luo Shijian. "Product visual image design based on product family DNA." In Conceptual Design (CAID/CD). IEEE, 2008. http://dx.doi.org/10.1109/caidcd.2008.4730680.

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Reports on the topic "Product-based"

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Tang, Q., and S. Xie. Station-based Surface Data Value-Added Product. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1238067.

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Hoberg, Gerard, and Gordon Phillips. Text-Based Network Industries and Endogenous Product Differentiation. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w15991.

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Hartman, Nathan W., and Jesse Zahner. Extending and Evaluating the Model-based Product Definition. National Institute of Standards and Technology, 2017. http://dx.doi.org/10.6028/nist.gcr.18-015.

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Baker, L., W. Gunther, A. Sharon, et al. Fission product release from aluminum-based fuel melts. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10176502.

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Russell, David P., Todd Krokowski, and Chris Lawrence. Map Based Interface for Geospatial Product Library (MAP-GPL). Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada439954.

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Luo, Huimin, and Charles L. Hussey. Fission-Product Separation Based on Room-Temperature Ionic Liquids. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/893263.

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Hussey, Charles L. Fission-Product Separation Based on Room-Temperature Ionic-Liquids. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/893347.

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Luo, Huimin. Fission-Product Separation Based on Room-Temperature Ionic Liquids. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/895831.

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DEFENSE ACQUISITION UNIV FT BELVOIR VA. Performance Based Logistics: A Program Manager's Product Support Guide. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada435149.

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Luo, Huimin, Robin D. Rogers, Dai, Sheng, Dai, Peter V. Bonnesen, A. C. Buchanan, III, and Charles L. Hussey. Fission-Product Separation Based on Room-Temperature Ionic Liquids. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/834971.

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