State of the Art Review on Process, System, and Operations Control in Modern Manufacturing

Abstract

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.

Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues

“…When viewed through the KM lens, the IoT allows more ways to manage and monitor knowledge in an organization and requires innovative knowledge management systems that can adapt to more complex knowledge flows [12]. Moreover, the IoT can be considered a prominent enabler of all KM processes [12] since the objects' interconnectivity relates to an expanding potential for data generation, storage, acquisition, transfer, and application [58].…”

Analysis of an Approach for Detecting Arc Positions During Vacuum Arc Remelting Based on Magnetic Flux Density Measurements

“…These studies showed that arc locations can be predicted well using magnetic flux density measurements around VAR furnaces combined with accurate numerical models [2,7,9,20]. However, these approaches relied on assumptions and simplifications that should be examined further to encourage their application in industry, particularly in the context of process control [21].…”

Comparing the lens displacement profile data by using the sequential approach for selecting alternative suppliers

“…With the growth of the camera module market, camera module manufacturers face the challenges of evaluating several potential lens module suppliers to meet a larger order. Since the uncertainty in the manufacturing process significantly influences product performance, maintaining packaging integrity is a critical feature in the manufacturing process . This research focuses on selecting the qualified alternative suppliers that provide the lens modules with the consistent performance as the current supplier.…”

“…Since the uncertainty in the manufacturing process significantly influences product performance, maintaining packaging integrity is a critical feature in the manufacturing process. 15,16 This research focuses on selecting the qualified alternative suppliers that provide the lens modules with the consistent performance as the current supplier. Packaging integrity will assure that the camera module will properly perform the functions designed.…”