Computers process engineering, impact

Zhang J (2005) Transshipment and its Impact on Supply Chain Members Performance. Management Science 51 (10) 1534-1539 Zhou T, Cheng S, Hua B (2000) Supply Chain Optimization of Continuous Process Industries with Sustainability Considerations. Computers Chemical Engineering 24 1151-1158... 

This area is extremely rich with potential topics, each of which would require a separate paper to review in depth. The reader should be aware that, because of page limitations, this paper can cover only one of my favorite topics, analysis, in any depth. To provide perspective, computer technology will also be examined because of its enormous impact on process engineering. 

Stefanis, S.K., Livingston, A.G. and Pistikopoulos, E.N., 1997, Environmental impact considerations in the optimal design and scheduling of batch processes. Computers Chemical Engineering, 21. 

Notwithstanding the intellectual challenges posed by the subject, the main impetus behind the development of computational models for turbulent reacting flows has been the increasing awareness of the impact of such flows on the environment. For example, incomplete combustion of hydrocarbons in internal combustion engines is a major source of air pollution. Likewise, in the chemical process and pharmaceutical industries, inadequate control of product yields and selectivities can produce a host of undesirable byproducts. Even if such byproducts could all be successfully separated out and treated so that they are not released into the environment, the economic cost of doing so is often prohibitive. Hence, there is an ever-increasing incentive to improve industrial processes and devices in order for them to remain competitive in the marketplace. 

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies..., new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. 

Perspective, The use of a mathematical model on a computer to simulate a chemical process is now approximately two decades old. The field, which has been referred to as steady state chemical process simulation, flowsheeting or computer aided chemical process design to emphasize various shadings and meanings has had a major impact on moving chemical process design from essentially an art form of the 1950 s to an accepted engineering science today. 

It is part of the early decision-making process to assess which parts of the LIMS are to be subject to full validation and which are to be covered by good IT or engineering testing practice. The function of LIMS within the company computing architecture may mean that it is utilized for both product quality related and non-product-quality-related activities. The validation determination for LIMS ensures that the validation effort is focused toward those system elements with direct GxP impact. The justification for validating only certain parts of LIMS must be based on an assessment of the GxP criticality of the data in the LIMS database, the use of the data and the sources of the data. In the ideal world LIMS would be dedicated to GxP activities. However, the economics of the system may mean that it is not practical to separate GxP and non-GxP activities into separate systems. 

The emphasis is on simulation at the atomistic and electronic structural level. Computational techniques in general, and simulation in particular, however, play an important role throughout the whole research, development, and production process [5] (Figure 2). Successful translation of an early research result into a product or process with practical business impact requires that a series of hurdles at scale up, economic analysis, process, and engineering levels all be successfully passed. 

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