Dramatic advancements and adoption of computing capabilities, communication technologies, and advanced, pervasive sensing have impacted every aspect of modern manufacturing. Furthermore, as society explores the Fourth Industrial Revolution characterized by access to and leveraging of knowledge in the manufacturing enterprise, the very character of manufacturing is rapidly evolving, with new, more complex processes, and radically, new products appearing in both the industries and academe. As for traditional manufacturing processes, they are also undergoing transformations in the sense that they face ever-increasing requirements in terms of quality, reliability, and productivity, needs that are being addressed in the knowledge domain. Finally, across all manufacturing we see the need to understand and control interactions between various stages of any given process, as well as interactions between multiple products produced in a manufacturing system. All these factors have motivated tremendous advancements in methodologies and applications of control theory in all aspects of manufacturing: at process and equipment level, manufacturing systems level, and operations level. Motivated by these factors, the purpose of this paper is to give a high-level overview of latest progress in process and operations control in modern manufacturing. Such a review of relevant work at various scales of manufacturing is aimed not only to offer interested readers information about state-of-the art in control methods and applications in manufacturing, but also to give researchers and practitioners a vision about where the direction of future research may be, especially in light of opportunities that lay as one concurrently looks at the process, system and operation levels of manufacturing.
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June 2018
Research-Article
State of the Art Review on Process, System, and Operations Control in Modern Manufacturing
Laine Mears,
Laine Mears
Department of Automotive Engineering,
Clemson University,
Greenville, SC 29607
e-mail: mears@clemson.edu
Clemson University,
Greenville, SC 29607
e-mail: mears@clemson.edu
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Farbod Akhavan Niaki,
Farbod Akhavan Niaki
Department of Automotive Engineering,
Clemson University,
Greenville, SC 29607
e-mail: fakhava@g.clemson.edu
Clemson University,
Greenville, SC 29607
e-mail: fakhava@g.clemson.edu
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Asad Ul Haq,
Asad Ul Haq
Department of Mechanical Engineering,
University of Texas,
Austin, TX 78712
e-mail: asadulhaq@utexas.edu
University of Texas,
Austin, TX 78712
e-mail: asadulhaq@utexas.edu
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Lin Li
Lin Li
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Dragan Djurdjanovic
Laine Mears
Department of Automotive Engineering,
Clemson University,
Greenville, SC 29607
e-mail: mears@clemson.edu
Clemson University,
Greenville, SC 29607
e-mail: mears@clemson.edu
Farbod Akhavan Niaki
Department of Automotive Engineering,
Clemson University,
Greenville, SC 29607
e-mail: fakhava@g.clemson.edu
Clemson University,
Greenville, SC 29607
e-mail: fakhava@g.clemson.edu
Asad Ul Haq
Department of Mechanical Engineering,
University of Texas,
Austin, TX 78712
e-mail: asadulhaq@utexas.edu
University of Texas,
Austin, TX 78712
e-mail: asadulhaq@utexas.edu
Lin Li
Manuscript received July 19, 2017; final manuscript received August 15, 2017; published online March 30, 2018. Editor: Y. Lawrence Yao.
J. Manuf. Sci. Eng. Jun 2018, 140(6): 061010 (18 pages)
Published Online: March 30, 2018
Article history
Received:
July 19, 2017
Revised:
August 15, 2017
Citation
Djurdjanovic, D., Mears, L., Niaki, F. A., Haq, A. U., and Li, L. (March 30, 2018). "State of the Art Review on Process, System, and Operations Control in Modern Manufacturing." ASME. J. Manuf. Sci. Eng. June 2018; 140(6): 061010. https://doi.org/10.1115/1.4038074
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