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Ken Mckay

Professor
MANAGEMENT SCIENCES
University of Waterloo
Canada

Biography

Ken McKay is a Management Sciences Professor and the Department Teaching and Undergraduate Liaison Officer at the University of Waterloo. Dr. McKay places an emphasis on the development of adaptive control heuristics for production control. He uses concepts from information and control theory, development of models and methods addressing dynamic problems of production control in lean supply chains, and the use of ethnographic research methodology. He aims to understand the dynamics of the real world situation, developing methodologies for incorporating field-driven heuristics in mathematical formulations, and how to develop information systems that support real world tasks in rapidly changing situations that require human judgment. Another research interest of Dr. McKay’s involves the creation of a framework/model that senses and reacts to threats or signals in information networks used for medical, financial, and manufacturing purposes. Software engineering interests are also pursued in the design of user interfaces for task oriented processes, context sensitive decision support systems (e.g., factory scheduling), and software project management. In addition to his research work, Dr. McKay is the co-author of “Practical Production Control: A Survival Guide for Planners and Schedulers”.

Research Interest

Planning And Scheduling Risk Management Heuristics Decision Support Systems

Publications

  • McKay KN, Morton TE, Ramnath P, Wang J. ‘Aversion dynamics’ scheduling when the system changes. Journal of Scheduling. 2000 Mar 1;3(2):71-88.

  • Jewer J, McKay KN. Antecedents and consequences of board IT governance: Institutional and strategic choice perspectives. Journal of the Association for Information Systems. 2012 Jul 1;13(7):581.

  • McKay KN, Safayeni FR, Buzacott JA. ‘Common sense’realities of planning and scheduling in printed circuit board production. THE INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH. 1995 Jun 1;33(6):1587-603.

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