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Ulaanbaatar, Mongolia

The Academy of Management is a professional association for scholars of management and organizations that was established in 1936. It publishes several academic journals, organizes conferences, and provides others forums for management professors and managers to communicate research and ideas. Wikipedia.

Chang K.-H.,The Academy of Management | Wen T.-C.,National Chiao Tung University
Expert Systems with Applications | Year: 2010

Design Failure Mode and Effect Analysis (DFMEA) is the application of the Failure Mode and Effects Analysis (FMEA) method specifically to product design. DFMEA is not only an important risk assessment technique but also a major task for enterprises in implementing production management. The purpose is to ensure that the product can achieve its designed functions under specific operating conditions. Most current DFMEA methods use the Risk Priority Number (RPN) value to evaluate the risk of failure. However, conventional RPN methodology has the serious problem of measurement scales and loses some valued information, which experts have to provide. In order to improve the method of RPN evaluation, this paper proposes a novel technique, combining 2-tuple and the Ordered Weighted Averaging (OWA) operator for prioritization of failures in a product DFMEA. A case of the Color Super Twisted Nematic (CSTN) that has been drawn from a midsized manufacturing factory is presented to further illustrate the proposed approach. After comparing the result that was obtained from the proposed method with the other two listed approaches, it was found that the proposed approach can effectively solve the problem of measurement scales and has not lost any expert to provide the useful information. As a result, stability of the product and process can be assured. © 2009 Elsevier Ltd. All rights reserved.

Durgamohan M.,The Academy of Management
Worldwide Hospitality and Tourism Themes | Year: 2015

Purpose – The purpose of the paper is to explore the issues and potential that this festival brings forth. Festivals are an integral part of the cultural and social fabric of India. Festivals have been celebrated from times immemorial. One such festival is Hampi festival, which was in vogue in the Vijayanagara Empire. The Government of Karnataka revived this festival. Design/methodology/approach – Focus group discussions with the festival stakeholders were held to explore the cultural and economic impact of Hampi festival. Recommendations are made regarding improving the festival. Findings – Held at Hampi, a UNESCO’s World Heritage Site and the world’s largest open air museum covering 26 sq km, having 550 monuments, Hampi festival is a cultural extravaganza of dance, drama, music, fireworks, puppet shows and spectacular processions, all combined to recreate the grandeur of a bygone era. It has tremendous untapped potential from a cultural and economic perspective. Practical implications – An understanding of the opportunities and issues in organizing the festival, with implications for multiple stakeholders including the government at multiple levels. Originality/value – Building a discussion on how a large-scale festival that generates national and international visitation be leveraged for cultural and economic gains. © Emerald Group Publishing Limited

Chang K.-H.,The Academy of Management
Soft Computing | Year: 2014

Process failure mode and effects analysis (PFMEA) is used in the high-tech industry to improve a product's quality and robustness. It is not only an important risk assessment technique but also a valuable task for implementing production management. Its main purpose is to discover and prioritize potential failure modes. Most of the current PFMEA techniques use the risk priority number (RPN) value to evaluate the risk of failure. However, the traditional RPN methodology has a serious problem with regard to measurement scales, does not consider the direct and indirect relationship between potential failure modes and causes of failure, and loses potentially valuable expert-provided information. Moreover, there are unknown, partially known, missing, or nonexistent data identified during the process of collecting data for PFMEA; this increases the difficulty of risk assessment. Issues with incomplete information cannot be fully addressed using the traditional RPN methodology. In order to effectively address this problem, the current paper proposes a novel soft set-based ranking technique for the prioritization of failures in a product PFMEA. For verification of the proposed approach, a numerical example of the Xtal unit PFMEA was adopted. This study also compares the results of the traditional RPN and DEMATEL methods for dealing with incomplete data. The results demonstrate that the proposed approach is preferable for reflecting actual stages of incomplete data in PFMEA. As a result, product and process robustness can be assured. © 2013 Springer-Verlag Berlin Heidelberg.

Rasina I.V.,The Academy of Management
Automation and Remote Control | Year: 2012

We propose a series of approximate and iterative optimizational methods for discrete-continuous processes based on Krotov's sufficient optimality conditions. Iterations are constructed by localizing the global optimality conditions and Krotov's minimax scheme with various approximations. The very concept of a discrete-continuous system and the corresponding optimality conditions and algorithms represent a convenient formalism to study a wide class of complex systems and processes, in particular, magistral solutions of singular problems that are significantly non-uniform in structure. © Pleiades Publishing, Ltd., 2012.

Rutkowski L.,Czestochowa University of Technology | Rutkowski L.,The Academy of Management | Przybyl A.,Czestochowa University of Technology | Cpalka K.,Czestochowa University of Technology
IEEE Transactions on Industrial Electronics | Year: 2012

Reference trajectory generation is one of the most important tasks in the control of machine tools. Such a trajectory must guarantee a smooth kinematics profile to avoid exciting the natural frequencies of the mechanical structure or servo control system. Moreover, the trajectory must be generated online to enable some feed rate adaptation mechanism working. This paper presents the online smooth speed profile generator used in trajectory interpolation in milling machines. Smooth kinematic profile is obtained by imposing limit on the jerkwhich is the first derivative of acceleration. This generator is based on the neuro-fuzzy system and is able to adapt online the current feed rate to changing external conditions. Such an approach improves the machining quality, reduces the tool wear, and shortens total machining time. The proposed trajectory generation algorithm has been successfully tested and can be implemented on a multiaxis milling machine. © 2011 IEEE.

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