Role Of Process Modeling Research Articles

Bioprocessing in the Digital Age: The Role of Process Models

In this age of technology, the vision of manufacturing industries built of smart factories is not a farfetched future. As a prerequisite for Industry 4.0, industrial sectors are moving towards digitalization and automation. Despite its tremendous growth reaching a sales value of worth $188 billion in 2017, the biopharmaceutical sector distinctly lags in this transition. Currently, the challenges are innovative market disruptions such as personalized medicine as well as increasing commercial pressure for faster and cheaper product manufacturing. Improvements in digitalization and data analytics have been identified as key strategic activities for the next years to face these challenges. Alongside, there is an emphasis by the regulatory authorities on the use of advanced technologies, proclaimed through initiatives such as Quality by Design (QbD) and Process Analytical Technology (PAT). In the manufacturing sector, the biopharmaceutical domain features some of the most complex and least understood processes. Thereby, process models that can transform process data into more valuable information, guide decision-making, and support the creation of digital and automated technologies are key enablers. This review summarizes the current state of model-based methods in different bioprocess related applications and presents the corresponding future vision for the biopharmaceutical industry to achieve the goals of Industry 4.0 while meeting the regulatory requirements.

The Role of Process Modeling in designing odor mitigation solutions: Developing Emissions Ratings for Process Technologies and Structures using Toxchem™

The Role of Process Modeling in designing odor mitigation solutions: Developing Emissions Ratings for Process Technologies and Structures using Toxchem™

Role of Process Models in Safety Management

Role of Process Models in Safety Management Management is a type of human activity that establishes and ensures the system functions. The process models and project models are currently used for management support. Main aim of the process model is to describe the possible development tendencies as a consequence of certain phenomenon and to define functions and role of functions. The process models enable to compile procedures and scenarios for the situations that have similar features. They are suitable for planning, response and renovation. In this paper, we present the risk management model used at present in professional practice, two simple models from daily practice and the evaluation of process models for crisis management.

Health care process modelling: which method when?

The role of process modelling has been widely recognized for effective quality improvement. However, application in health care is somewhat limited since the health care community lacks knowledge about a broad range of methods and their applicability to health care. Therefore, the objectives of this paper are to present a summary description of a limited number of distinct modelling methods and evaluate how health care workers perceive them. Various process modelling methods from several different disciplines were reviewed and characterized. Case studies in three different health care scenarios were carried out to model those processes and evaluate how health care workers perceive the usability and utility of the process models. Eight distinct modelling methods were identified and characterized by what the modelling elements in each explicitly represents. Flowcharts, which had been most extensively used by the participants, were most favoured in terms of their usability and utility. However, some alternative methods, although having been used by a much smaller number of participants, were considered to be helpful, specifically in understanding certain aspects of complex processes, e.g. communication diagrams for understanding interactions, swim lane activity diagrams for roles and responsibilities and state transition diagrams for a patient-centred perspective. We believe that it is important to make the various process modelling methods more easily accessible to health care by providing clear guidelines or computer-based tool support for health care-specific process modelling. These supports can assist health care workers to apply initially unfamiliar, but eventually more effective modelling methods.

Impact of Process Modelling on Current Direction of Welding Research and Future Targets

The present paper gives a description of process modelling and its impact on current direction of welding research and future targets. It analyses the research work carried out in the filed of process modelling and presents quantitative analysis. The present work classifies and subsequently quantifies the welding research on the basis of approaches including modelling and simulation, product development, cause-effect analysis and sensor and control. The analysis indicates that modelling based research is primarily reported for existing technologies and existing materials. Research in new technologies using modelling is still is in developing stages and new materials based research is primarily carried out with cause-effect based analysis. The paper also mentions the future targets in welding research and indicates the role of process modelling in achieving the targets.

On the numerical modelling of the multiphysics self piercing riveting process based on the finite element technique

The development of reliable numerical models permits to investigate the manufacturing processes with very low incremental costs or prototyping efforts hence it provides a relevant help in process optimisation and gives great opportunity for making maximum use of sparse process data [Shercliff HR, Lovatt AM. Selection of manufacturing process in design and the role of process modelling. Prog Mater Sci 2001;46:429–59]. Among others the metal forming processes have heavily benefited from the finite element numerical computing technology [Chenot JL, Massoni E. Finite element modelling and control of new metal forming processes. Int J Machine Tool Manuf 2006;46:1194–200]. The self piercing riveting (SPR) is a cold forming process which creates a strong mechanical interlock between two or more sheets by means of a semi-tubular rivet, which, pressed by a punch, pierces the upper sheet and flares into the bottom one. It is governed by complex multiphysics phenomena whose governing equations can be resolved using the finite element method. In this paper all the governing equations are fully reported along with the mathematics of the resolving method needed for setting up and simulate a finite element model of the self piercing riveting of an aluminium alloy. A case study of the SPR of two sheets of the 6060T4 aluminium alloy using a steel rivet was investigated. The calculations were performed using the LsDyna finite element commercial code. The problems encountered and the solutions applied for the preparation of the model and the run of the calculation were presented and discussed. The obtained results were validated by comparison with data coming from a laboratory experiment.

On the role of process models in autonomous land vehicle navigation systems

This paper examines the role played by vehicle models and their impact on the performance of sensor-based navigation systems for autonomous land vehicles. In a navigation system, information from internal and external vehicle sensors is combined to estimate the motion of the vehicle. However, while the issue of sensing and effects of sensor accuracy have been widely studied, there are few results or insights into the complementary role played by the vehicle model. This paper has two main contributions: a theoretical analysis of the role of the vehicle model in navigation system performance, and an empirical study of three models of increasing complexity, used in a navigation system for a conventional road vehicle. The theoretical analysis focuses on understanding the effect of estimation errors caused by approximations to the "true" vehicle model. It shows that while substantial performance improvements can be obtained from better vehicle modeling, there is, in general, no definitive "best" model for such complex nonlinear estimation problems. The empirical study shows that an appropriate choice of a higher order model can lead to significant improvements in the performance of the navigation system. However, the highest order model suffers from problems related to the observability of some of its parameters. We show how this problem can be overcome through the imposition of weak constraints.

The role of process modelling

This article presents the proven business benefits of Process Modelling in continuous improvement. The emphasis is on case study material, highlighting the successes and warning of the pitfalls. The material is drawn from the author's experience of implementing Total Quality which includes multi‐site manufacturers as well as smaller companies from more traditional industries.

Application of an online computer to an acetic-acid process

The paper discusses the application of an Elliott Arch 9000 computer to the BP Chemicals (UK) Ltd. acetic-acid process operated at Kingston upon Hull, England. The computer was used as a tool to assist in a detailed study of the process. The main objective of the work was to develop a process model of the plant for control purposes. The role of the computer was twofold:(a) to collect plant-performance data for offline development of the model(b) to provide direct digital control of certain key control loops important to the study.The project was a combined exercise with Elliott Process Automation, involved a total of 28 (graduate) man years and incurred a total cost of £260000. A breakdown of these figures is presented. The difficulties of organising and administering such an extensive project are also discussed. Reference is made to the important role of process models in relation to the many control levels in a company hierarchy.