534,876 research outputs found

    Determining the Quality of Product Data Integration

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    To meet customer demands, companies must manage numerous variants and versions of their products. Since product-related data (e.g., requirements' specifications, geometric models, and source code, or test cases) are usually scattered over a large number of heterogeneous, autonomous information systems, their integration becomes crucial when developing complex products on one hand and aiming at reduced development costs on the other. In general, product data are created in different stages of the product development process. Furthermore, they should be integrated in a complete and consistent way at certain milestones during process development (e.g., prototype construction). Usually, this data integration process is accomplished manually, which is both costly and error prone. Instead semi-automated product data integration is required meeting the data quality requirements of the various stages during product development. In turn, this necessitates a close monitoring of the progress of the data integration process based on proper metrics. Contemporary approaches solely focus on metrics assessing schema integration, while not measuring the quality and progress of data integration. This paper elicits fundamental requirements relevant in this context. Based on them, we develop appropriate metrics for measuring product data quality and apply them in a case study we conducted at an automotive original equipment manufacturer

    New Product Development Strategy for Sustainable Rigid Plastic Packaging at XYZ Company in 2022-2025

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    This study developed environmentally friendly products for XYZ Company through business strategy analysis, macro external environment analysis, industry analysis, the voice of customer analysis, functional analysis, canoe model integration and quality functional deployment, and cost-benefit analysis. Based on the analysis results, a new product development strategy for sustainable rigid plastic packaging was formulated at XYZ Company in 2022-2025. The formulation of a new product development strategy at XYZ Company began by collecting data from XYZ Company's Business Strategy, analyzing internal factors using functional analysis, and analyzing the external environment (regulations, economic, social, political conditions, industry pressures, and results of customer interviews with XYZ Company) with using PESTEL Analysis, Industry Analysis (Five Forces Porter), and Voice of Customer Analysis. All data were combined in the Kano model matrix and Quality Function Deployment Matrix, which produced new product characteristics that will become the basis for XYZ Company in designing new products, conducting cost and benefit analysis, and determining strategy formulation. Based on the analysis results, XYZ Company could develop a 20L Jerrycan product for refillable packaging with Post-Consumer Resin (PCR) Material, using Extrusion Blow Molding and Injection Molding Process, and collaborating with customers to develop product cycles for refillable packaging offered to customers. The XYZ Company's effective New Product Development Strategy for sustainable plastic packaging in 2022-2025 is manufacturing refillable packaging with PCR material and using existing machines. Keywords: product development, kano model, quality functional deployment, sustainability, rigid plastic packagin

    Factors Determining Indonesian Muslim Behaviour in Purchasing Halal Food: A Preliminary Study

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    Halal food and consumer behaviour are hot issues in scholarly publications. However, research exploring the factors determining consumer decisions by the exploratory study is still rare. Therefore, this study aimed to identify the factors that determine Indonesian Muslims' purchasing of halal food. We focused on halal food Muslim consumers and 140 questionnaires were distributed. Exploratory Factor Analysis and Confirmatory Factor Analysis was used for data analysis. The findings showed that three main factors determine Muslim purchase decisions for halal food: halal awareness, religiosity, and the safety & quality of halal food. A novel model of halal food consumer behaviour that implies the application of Halalan-tayyibah in Islamic teachings, namely the integration of halalness with product safety and quality. The study also implies that business players must pay attention to halal aspects in all business processes, from manufacturing to marketing, for the halal food value chain to be fully fulfilled.JEL Classification: M21, M31, Z12How to Cite:Alimusa, L.O., Septiani M, A., Ratnasari, R. T., & Hasan, A. (2023). Factors Determining Indonesian Muslim Behavior in Purchasing Halal Food: A Preliminary Study. Etikonomi, 22(2), 263 – 276. https://doi.org/10.15408/etk.v22i2.26979

    MUVOT - Establishing an International Vocational Training Program on the Topic of Measurement Uncertainty

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    Measurement results represent important information, which are necessary for evaluating and improving the quality of manufactured products and to control manufacturing processes. Furthermore, they build the basis for numerous decisions in the field of quality management, process and production automation or product development and design. Knowledge about the acquisition, evaluation and interpretation of measurement data as well as an understanding of the relevant influences on those measurement results are essential for employees working in the field of manufacturing metrology. Measurement results are always afflicted with deviations, due to a variety of causes. It follows that in order to assign a value to the reliability and quality of a measurement result its uncertainty must be determined and considered. However, employees in the field of quality management or metrology are often not familiar with methods for determination and interpretation of measurement uncertainty, because appropriate opportunities for training are missing in current vocational education. This need has led to the creation of the European project MUVoT, which will create a course for advanced vocational training in determining measurement uncertainty. The training course is based on a blended learning concept, combining self-dependent learning via a web-based platform and face-to-face workshops. This allows the adaption of individual knowledge and skills by self-controlled learning of abstract contents whilst the exercises enable the practical application of typical methods, which are generally considered as quite complex by many employees, and thus assure correct understanding. The featured Blended Learning concept facilitates the integration of the training into a workplace setting, thus the idea of Lifelong Learning is promoted in new fields of application. The curriculum and training concept for this newly developed training program have been designed such that the course can be applied internationally. To facilitate this, a harmonized scheme for course structure and contents has been defined albeit with inherent flexibility, allowing the adaptation to specific constraints

    Integration of photovoltaic generation for industrial consumers connected to distribution systems

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    [EN] Technological advances in solar photovoltaic generation have considerably reduced equipment costs in new facilities, which is why this research focuses on determining the generation capacity through the use of existing infrastructure, solar radiation measurements and demand, to meet the demand for electrical energy through the application of forecasting models with the use of data analytics techniques and neural networks in order to determine the technical benefit in product quality, the reduction of demand peaks, mitigate transmission losses and provide greater reliability to the electrical system of the industry and utility.This work was supported by Universitat Politecnica de Valencia, Camino de Vera, s/n 46022 Valencia, Tel. (+34) 96 387 70 00 - Spain and the Universidad Politecnica Salesiana, Calle Vieja, Cuenca 010105 - Ecuador.Toledo, MA.; Álvarez, C.; Pachar, JX.; Quishpi, W.; Quizhpi, FA. (2020). Integration of photovoltaic generation for industrial consumers connected to distribution systems. IEEE. 1-6. https://doi.org/10.1109/ROPEC50909.2020.9258747S1

    Consumer-Oriented New Product Development in Fruit Flavour Breeding : A Bayesian Approach

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    Taking consumer quality perceptions into account is very important for new-fruit product development in todays competitive food market. To this end, consumer-oriented quality improvement models like the Quality Guidance Model (QGM) have been proposed. Implementing such mod- els in the agro industry is challenging. We propose the use of Bayesian Structure Equation Modelling (SEM) for parameterizing the Quality Guid- ance Model, allowing for the integration of elicited expert knowledge. Such casual modelling would furnish important insights for determining the opti- mal fruit product in terms of consumer avour-quality perceptions. In the context of tomato breeding, where we have data about metabolites, sensory- panel judgments, and consumer avour-quality perceptions, we estimated a benchmark Bayesian SEM using non-informative priors, starting from an initial causal model derived from the data with a score-based Bayesian Network (BN) learning algorithm. The results so far have given some in- dication of the importance of accounting for consumer heterogeneity in the modeling process

    INTEGRATING KANO MODEL WITH DATA MINING TECHNIQUES TO ENHANCE CUSTOMER SATISFACTION

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    The business world is becoming more competitive from time to time; therefore, businesses are forced to improve their strategies in every single aspect. So, determining the elements that contribute to the clients\u27 contentment is one of the critical needs of businesses to develop successful products in the market. The Kano model is one of the models that help determine which features must be included in a product or service to improve customer satisfaction. The model focuses on highlighting the most relevant attributes of a product or service along with customers’ estimation of how these attributes can be used to predict satisfaction with specific services or products. This research aims at developing a method to integrate the Kano model and data mining approaches to select relevant attributes that drive customer satisfaction, with a specific focus on higher education. The significant contribution of this research is to improve the quality of United Arab Emirates University academic support and development services provided to their students by solving the problem of selecting features that are not methodically correlated to customer satisfaction, which could reduce the risk of investing in features that could ultimately be irrelevant to enhancing customer satisfaction. Questionnaire data were collected from 646 students from United Arab Emirates University. The experiment suggests that Extreme Gradient Boosting Regression can produce the best results for this kind of problem. Based on the integration of the Kano model and the feature selection method, the number of features used to predict customer satisfaction is minimized to four features. It was found that either Chi-Square or Analysis of Variance (ANOVA) features selection model’s integration with the Kano model giving higher values of Pearson correlation coefficient and R2. Moreover, the prediction was made using union features between the Kano model\u27s most important features and the most frequent features among 8 clusters. It shows high-performance results

    New product development in an emerging economy: analysing the role of supplier involvement practices by using Bayesian Markov chain Monte Carlo technique

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    The research question is whether the positive relationship found between supplier involvement practices and new product development performances in developed economies also holds in emerging economies. The role of supplier involvement practices in new product development performance is yet to be substantially investigated in the emerging economies (other than China). This premise was examined by distributing a survey instrument (Jayaram’s (2008) published survey instrument that has been utilised in developed economies) to Malaysian manufacturing companies. To gauge the relationship between the supplier involvement practices and new product development (NPD) project performance of 146 companies, structural equation modelling was adopted. Our findings prove that supplier involvement practices have a significant positive impact on NPD project performance in an emerging economy with respect to quality objectives, design objectives, cost objectives, and “time-to-market” objectives. Further analysis using the Bayesian Markov Chain Monte Carlo algorithm, yielding a more credible and feasible differentiation, confirmed these results (even in the case of an emerging economy) and indicated that these practices have a 28% impact on variance of NPD project performance. This considerable effect implies that supplier involvement is a must have, although further research is needed to identify the contingencies for its practices

    An Empirical Analysis of Internal Marketing on Organizational Commitment:a Study of Banks in Lagos-Nigeria

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    The purpose of this paper was to investigate the effects of aspects of internal marketing on organizational commitment of employees. The research was conducted among managers of Nigerian banks situated in the major commercial city in Lagos, Nigeria. Internal marketing is growing recognition of both scholars and professionals with the increasing commoditization of products and services and the continuing failure of technology driven customer relationship management. The main criteria of internal marketing were derived from the literature; provided the backbone for our internal marketing dimensions. Data was gathered from a survey among 128 managers who rated self completion questions on the basis of their perception. In order to achieve the purpose, five hypotheses have been formulated that link the dimensions of internal marketing including motivation, job satisfaction, training,” understanding and differentiation”, “inter-functional coordination and integration” “to organizational commitment. Data analysis indicated that “inter-functional coordination and integration”, training and motivation have positive effects on the organizational commitment of employees among Nigerian banks. Therefore if the banks want to ultimately provide a better service experience for their customers, it is recommended that more attention be directed toward enhancing organizational commitment among personnel, with a focus on the effective aspects of internal marketing
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