23 research outputs found

    To Improve Quality and Reduce Rejection Level through Quality Control

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    Organization now a days need to improve their product/process/services continuously and progressively for that lean six sigma is the holistic approach that address multiple aspect of organization competitiveness it is only tool to achieve overall operational excellence.CNC Cutting involves various processes which include machine setting, blade speed, machine parameter, clamping, cooling, etc. It is very difficult to produce defect free cutting. Occurrence of the defect may involve single or multiple causes. These causes can be minimized through systematic procedure of applying various tools and technique .This paper represents analyses and investigation of cutting defects and identification of remedial measures carried out at specific industry. Diagnostic study carried out on overall process of cutting. Cutting products revealed that the contribution of the five prominent defects in cutting rejections were found and they are taper cutting, over size, under size, rough surface and burr. It was noticed that these defects were frequently occurring at different locations. Systematic analyses were carried out to understand the reasons for defects occurrence and suitable remedial measures were identified and implementation of process

    Design Supporting Business

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    This is a REF 2014 UOA34 portfolio submissionDesign Supporting Business – Research-through-practice by practice as research (Portfolio) This research investigates methods in which companies (Large Enterprises (LE’s) and Small to Medium sized Enterprises (SME’s)) can be supported effectively in utilising design in their New Product Development (NPD) strategies – thus benefitting the economy through efficient innovation. This represents a highly original body of work bringing together findings from over 180 design research projects across private sector commissions (LE’s and SME’s) and a number of Government funded design support schemes (Improving Business by Design, Manufacturing Advisory Service - Design Pilot Scheme, European Development Fund - SME Design Support) all proposed and implemented by the investigator. The research compares a number of combined design and funding support scenarios using the ‘success’’ of products to market (generating revenue, creating/securing jobs) as evidence of the relative efficacy of these methods. It proposes that companies who do not have design capability will have increased success when supported by a design capable body, that can manage and oversee all aspects of the design process from securing funding through to manufacture (activity that extends beyond design consultancy alone). The research identifies an 80% success rate for companies that utilise such support and a 90% failure rate for those that don’t. The research also indicates that there is little difference between projects which are 100% Government funded with those that are %50 Government funded or with those that are %100 Private sector funded. This has implications on how Governments can most cost effectively implement funding for SME’s in NPD. Dissemination includes: Guest speaker, Origin Oman’s Product Design and Packaging Workshop: Panel member for the PEIE 2009 (Oman): Guest speaker, opening event of the University of Pelita Harapan, 2010 (Malaysia) Be Transformed Festival. Findings culminated in a conference paper presented Boston 2012 and Antwerp 2012

    Modelling work domain knowledge with the combined use of abstraction hierarchy and living systems theory

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    This study is aimed at developing a new method for modelling work domain knowledge with the combined use of abstraction hierarchy (AH) and living systems theory (LST). AH has been widely used as a work domain knowledge representation framework in the field of cognitive systems engineering and human–computer interaction, and its usefulness has been proved in a range of work domains. However, its effective use still remains a challenging issue. In order to address this problem, this study firstly points out several issues that can be raised in the use of AH and then explains why and how LST can give concepts and principles helpful to resolve them. The proposed method offers a framework for how to combine AH and LST, particularly to identify functional knowledge at higher abstraction levels. It also offers a process for modelling the knowledge of a work domain based on the combined use of AH and LST. The use of the proposed method is exemplified by modelling the knowledge of a simplified secondary cooling system of nuclear power plants. The proposed method is a new approach to refining the concepts of AH and modelling the knowledge of a work domain that humans should interact. It is believed that it will be a useful tool for knowledge modellers in identifying and modelling the knowledge of a work domain in terms of its functional structure. However, it should be noted that its usefulness can be limited to technology-oriented engineering systems; it would not be easily applied to human activity-oriented systems

    Examining Successful Management Practices Among Senior Women Using AI Technology

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    Artificial intelligence (AI) technology innovations are envisioned to intensify the digital ecosystem affecting management practices and the quality of life for female senior business leaders in the United States. The purpose of this qualitative, transcendental phenomenology study was to examine the lived experiences that some female senior business leaders, ages 55 - 95, face using AI technology in decision making. The conceptual framework included the technology acceptance model and the mindspace model. Data was collected through semistructured interviews with 12 successful female senior business leaders from nine different industries in the United States. The Van Kaam method, as supported by Moustakas\u27 theoretical process, was used to analyze the data. Descriptive and inductive coding was used to uncover and categorize the found themes: (a) AI technology is beneficial, (b) leadership and change management, (c) technology adaptation and acceptance, (d) decision making and communication, and (e) information sharing and privacy. This study may contribute to positive social change as a benefit to other seniors by strengthening their AI technology decision making experiences, leadership, and supporting community awareness in addition to influencing positive social change across management and business platforms

    Development of a design feature database to support design for additive manufacturing (DfAM)

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    This research introduces a method to aid the design of products or parts to be made using Additive Manufacturing (AM), particularly the laser sintering (LS) system. The research began with a literature review that encompassed the subjects of design and AM and through this the need for an assistive design approach for AM was identified. Undertaking the literature review also confirmed that little has been done in the area of supporting the design of AM parts or products. Preliminary investigations were conducted to identify the design factors to consider for AM. Two preliminary investigations were conducted, the first investigation was conducted to identify the reasons for designing for AM, the need for a design support tool for AM and current challenges of student industrial designers designing parts or products for AM, and also to identify the type of design support they required. Further investigation were conducted to examine how AM products are developed by professional industrial designers and to understand their design processes and procedures. The study has identified specific AM enabled design features that the designers have been able to create within their case study products. Detailed observation of the case study products and parts reveals a number of features that are only economical or possible to produce with AM. A taxonomy of AM enabled design features was developed as a precursor for the development of a computer based design tool. The AM enabled design features was defined as a features that would be uneconomical or very expensive to be produced with conventional methods. The taxonomy has four top-level taxons based on four main reasons for using AM, namely user fit requirements, improved product functionality requirements, parts consolidation requirements and improvement of aesthetics or form requirements. Each of these requirements was expanded further into thirteen sub categories of applications that contained 106 examples of design features that are only possible to manufacture using AM technology. The collected and grouped design features were presented in a form of a database as a method to aid product design of parts or products for AM. A series of user trials were conducted that showed the database enabled industrial designers to visualise and gather design feature information that could be incorporated into their own design work. Finally, conclusions are drawn and suggestions for future work are listed. In summary, it can be concluded that this research project has been a success, having addressed all of the objectives that were identified at its outset. From the user trial results, it is clear to see that the proposed tool would be an effective tool to support product design for AM, particularly from an educational perspective. The tool was found to be beneficial to student designers to take advantage of the design freedom offered by AM in order to produce improved product design. As AM becomes more widely used, it is anticipated that new design features will emerge that could be included in future versions of the database so that it will remain a rich source of inspirational information for tomorrow s industrial designers
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