Can Automation Eliminate Human Intervention?
As the competition intensifies in the market for products and services and the need for recognition, companies in their effort to reduce operating costs see automation as a solution. While how much of and to what extent the process is to be automated to avoid the deployment of manpower is still engaging the attention of corporate and researchers. While automation provides predictable, consistent performance, it lacks judgment, adaptability and logic. While humans provide judgment, adaptability and logic, they are unpredictable, inconsistent and subject to emotions and motivation. To optimize performance in an organization, do we minimize human input and lose efficient, consistent, error-free system performance from automated the process? The present paper will seek to answer the question "how can we minimize human error while still maximizing system performance? What is the right human-machine mix? While we would all like to minimize human error and maximize performance in any system, the decision to automate or of how much to automate is still in the domain of human decision making. There are a number of factors to be considered while planning a system that requires a combination of human input and automated control.
Anjana Meel, Warren D, Seider and Ulku Oktem (2007), Analysis of Management actions, human behavior and process reliability of chemical plants, Impact of Management actions, Process Safety Progress,27,1,(7-14),
Haight, J.M. (2003), To Err is Human and That is Hard for Engineers, Engineering Times, 24, 4, pp. 5,
Haight, J.M. and Caringi, R.G. (2007) ‘Automation vs. human intervention: What is the best mix for optimum system performance? A case study’, Int. J. Risk Assessment and Management, Vol. 7, No. 5, pp.708–721
Hammond, K.R., Quote from John Stuart Mill, Human Judgment and Social Policy: Irreducible Uncertainty, Inevitable Error, Unavoidable Injustice, Year unknown.
Darrell M. West, (2018) , The Future of Work: Robots, AI, and Automation, Brookings Institution Press,
Aaron Smith and Janna Anderson, “AI, Robotics, and the Future of Jobs,” Pew Research Center, August 6, 2014.
Carl Benedict Frey and Michael Osborne ( 2013) , “The Future of Employment: How Susceptible Are Jobs to Computerization?” Oxford University paper.
James Manyika, Susan Lund, Michael Chui, Macques Bughin, Jonathan Woetzel, Parul Batra, Ryan Ko, and Saurabh Sanghui, 2017, “Jobs Lost, Jobs Gained: Workforce Transitions in a Time of Automation,” McKinsey Global Institute.
Melanie Arntz, Terry Gregory, and Ulrich Zierahn, (2016), “The Risk of Automationfor Jobs in OECD Countries,” Organization for Economic Cooperation and Development, Working Paper 189.
Parasuraman, R. and Riley, 1997, V., Humans and Automation: Use, Misuse, Disuse and Abuse, Human Factors; The Journal of the Human Factors and Ergonomics Society, 39, 2, 230-253
Copyright (c) 2018 International Journal of Engineering and Management Research
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.