Advanced Process Control and Information Systems 2005

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Language-specific concepts are omitted because they ically inferred from a concrete process definition. By or- cannot be meaningfully interpreted when dealing with process ganizing these annotations in profiles, a profile inferred models originating from different notations, i. Moreover, this canonical model, and a canonical model can have multiple profiles.

This information is stored separately in the form structure.

Fuzzy logic control performance

On the one hand, this facilitates the exe- the end of a process, or to signal something that has happened cution of those operations that involve such content, e. Events can be specialized into Mes- conformance analysis or pattern-based completion. On sage events to capture a message being sent or receipt, and Time the other hand, it makes this content virtually available in events to capture e.

Types and Objects. Each ResouceType captures a class of orga- nizational resources participating in the process, i. These fined through an inheritance mechanism such that at the can be Human, e. For in- rected, attributed graph. Re- ing on the type of operation required by the user. This relation is transitive and new process modeling language. Moreover, conversions from antisymmetric, and typically indicates a separation of duties. Meta-model this captures the concept of teamwork for human resources, i.

The meta-model of the canonical process format as a UML a set of persons all working on the same task. The association class diagram is shown in Figure 2. These can be physical artifacts, e. An object used States can have multiple incoming and outgoing edges. The as both input and output of a Work node indicates that the object conditions upon which an X ORSplit choice is made, must be is updated, e. Work node may be performed without using or producing the Different from Routing nodes, Work nodes capture those specific object.

A outgoing edge and divide in Tasks and Events. Task nodes can be atomic, or compound if they en- In the next section we motivate the choice for such elements close a net describing their behavior. Events are used to signal the beginning or modeling languages. Methodology and Mapping ject Management Group] standardization committee and is sup- The elements to be included in the canonical format were ported by a growing number of organizations and IT vendors.

These are two ] specifically designed for modeling executable business languages for conceptual process modeling: EPCs [Keller et al. As such, they benefit from a rich body of theoretical ] and BPMN 1. WF- four languages for executable process modeling: Protos 8. Specifically, we chose to adopt the standard WF-Net notation To date, EPCs Event-driven Process Chains are proba- which does not feature triggers, explicit splits and joins, and bly the most used process modeling notation among practi- hierarchical transitions, to avoid overlaps with the YAWL lan- tioners. Besides its independent reference models e.

These cater for the representation of organiza- language to describe, analyze and automate complex business tional resources and objects participating in a process, and for process specifications, which builds on top of WF-Nets and pro- the representation of variation points on top of these elements vides comprehensive support for the Workflow Patterns [Aalst respectively.

For this reason, BPEL represents a convergence between Web ser- vices and business process technology.

Advanced process control applied to distributed control systems

The table also lists at the bottom those elements that are not A Work : A State supported by the canonical format. Figure 3: Canonical representation of common concrete language constructs. The second and third constructs are two examples of syn- tactic sugar offered by BPMN, i. This translates to a canonical graph ation. The portal ex- ping the implicit split. Similarly, the third construct shows the poses the above functionalities through a graphical interface to compact notation for an Inclusive-split Gateway via two Con- provide process models visualization and editing capabilities ditional Flows each capturing a condition for the choice and see Figure 4.

Specifically, the portal is implemented using a one Default Flow capturing the default condition.

The corre- model-view-controller pattern, where the portal itself is merely sponding canonical graph will have an ORSplit Node to capture a view on the models stored in the underlying database with the inclusive choice and one Edge for each outgoing Flow, with Java methods acting as controllers. Currently, the process mod- join and -split behavior for an Activity. In both cases, we need to add two extra Routing Nodes in the canonical representation to explicitly cap- ture the split and join behavior, besides a Work Node to capture the Transition or Activity.

Therefore in the canonical format we need to separate a Task from its routing behavior. As per Table 2, in this case the canonical representation of the InputCondition will be made up of an Event to signal the beginning of the process, plus a State to indicate the event-driven decision. Similarly, the eight construct shows the canonical representation for an Out- put Condition preceded by two tasks in YAWL.

The last four examples show the canonical representation of the routing constructs provided by WS-BPEL: If to model ex- clusive data-driven choices , While and RepeatUntil to model loops and Flow to model parallelism. In the first scenario an organization can use the business 6.

Advanced Process Control Systems Engineer - Refinery |

Prototype Implementation process repository for advanced search functionalities. The col- lection of process models to be analyzed can be developed in a As a proof of concept, we implemented a prototype of separate BPMS and then imported into the repository. For example, they can search for a par- search, model classification; ticular model based on keywords, on models classification e. Due to its service-oriented ar- to the model to be searched for. At the tightest level of inte- chitecture, it will be relatively easy for researchers to develop gration, this integration is made possible by invoking the Web their own services and Web plug-ins, offering new capabilities services provided by the repository directly from the BPMS.

In this way, APROMORE of- portal and the BPMS such that users can use the Web-portal to fers a separation of concerns that we hope is appreciated by our perform their searches and upon opening a process model in the fellow researchers. An initiative that inspired us in this respect portal, the BPMS is launched.

Subsequently, they can use the similarity search function most of them of medium size tasks , which have been to search for pairs of models that are similar. In a next step they developed either in an academic or in an industry context. At can be aided in establishing a match between elements from this stage, we are in touch with various industrial partners in the one process and elements from the other process and merge financial, healthcare, governmental, and creative industries do- the two models into a configurable process model, using this mains to interest them in this initiative.

Other challenges relate match. The resulting model will capture both the commonali- to more technical and operational issues, such as adding open, ties between the two models, and their differences, in the form Web-based interfaces to proprietary implementations of anal- of variation points. This new model can then provide a roadmap ysis techniques, ensuring that the hardware can scale with the for implementing changes to the current business services and use in APROMORE, aligning with access models such as the IT infrastructure supporting the business process, in order to OpenId initiative,7 and integrating with other open platforms rationalize them.

With respect to future research, our efforts will be devoted to the development of new analysis and management techniques 7. One example would be the de- This paper presents APROMORE, which is an advanced velopment of an advanced version control system that can pro- repository to hold, analyze and re-use large sets of process mod- vide a semi-automatic resolution of conflicting process model els.

This is a relevant characteristic for a modern collab- cording to the principles of service-oriented architectures, and orative process modeling environment where it is realistic to exposed to the end user via a Web interface.

Control engineering

The canonical for- assume that many stakeholders with different skills and respon- mat for process modeling notations is an essential ingredient for sibilities will partake in the modeling activity, thus potentially dealing with the diversity of available notations. A prototype generating conflicting versions that need to be harmonized. Considering the interests of practitioners, the tool plex but highly relevant for practice and an enticing area for is thought to be helpful in dealing with many of the challenges research.

We hope that both practitioners and researchers will that stakeholders face when dealing with large numbers of pro- join us in its further development. In this respect, APROMORE goes well beyond the typical capabilities offered by commercial tools, such as References access control and simple version control, in the sense that it particularly provides advanced support for dealing with models W. Structural Characterizations of Sound Workflow Nets. In this Information Systems, 30 4 —, Kiepuszewski, and A.

Distributed and Parallel Databases, 14 1 :5—51, Dumas, F. Gottschalk, A. La pages — Springer, Rosa, and J. Green and M. Usability analysis of visual programming environ- Model Configuration. Formal Aspects of Computing, Anupindi, S. Chopra, S. Deshmukh, J. Managing Business Process Flows. Prentice Hall, Grossmann, Y. Ren, M. Schrefl, and M. Behavior based integra- A. Awad, G. Decker, and M. Efficient compliance checking using tion of composite business processes.

Benatal- bpmn-q and temporal logic. Dumas, M. Reichert, and M. Shan, lah, F. Casati, and F. Curbera, editors, Business Process Management, 3rd editors, Proc. ISBN Balko, A. Barros, A. La Rosa, and M. Con- J. Gulla and T.

Expert systems

On the Challenges of Business Modeling in trolled flexibility and lifecycle management of business processes through Large-Scale Reengineering Projects. In Proceedings of the 4th International extensibility. Esswein, J. Mendling, and S. Fuzzy mining — adaptive process pages 97— GI, Alonso, P. Dadam, W. Bandara, G. Gable, and M. Factors and measures of business and M.

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Journal of Intelligent Transportation Systems. Nonlinear Dynamics. Annual Reviews in Control. Journal of the Franklin Institute. Journal of the Energy Institute. Journal of Astronomical Telescopes, Instruments, and Systems. Many pharmaceutical companies are investing in sensors and analyzers e. NIR, mass spectrometry, Raman and evaluating, if not applying, them across a wide range of processes and locations from development scale for full production scale. Control what matters — the end result A key principle guiding the PAT initiative is the vision of achieving enhanced process understanding.

Continuous improvement requires understanding the critical sources of variability and working to reduce that variability, constantly. Advanced process control is designed to accomplish these goals.

Regulatory control is a class of technology whose primary role is to maintain desired unit measurements such as mass and heat balances. Regulatory control does not continuously improve the process, but rather ensures that the hardware components within the system are not exceeding known process, equipment and safety limits. In contrast, APC is designed to reduce changeability of key variables and continuously adjust the process to guarantee the desired end result. APC software solutions are developed by building a mathematical model of the manufacturing process.

Since many variables can affect a single process, a key part of developing an APC model is identifying and understanding the multiple critical variables that affect the desired end result. The same process also identifies and explains the critical sources of variability.

As described, the basic procedure of creating an APC solution delivers fundamental process understanding. The process model itself can be used in an off-line supervisory mode or an on-line measurement and control mode. In an off-line mode, a model-based APC solution can identify the best operating parameters to achieve desired outcomes. It can also be used on-line as a software-based analyzer to help provide and predict online quality or performance measurements. This online software based analyzer allows an operator or process engineer to monitor the real-time feedback and predictions of future process performance, and make manual adjustments to the process to ensure desired end quality.

This same model-based solution can also be deployed online to provide real-time control and optimization. This capability is provided by the ability to predict quality accurately in-process and the improved process stability. Improved operations stability and consistency. The product and batch transitions are performed more quickly and consistently. This capability translates directly to improved operational efficiencies and transition losses are reduced.

Ability to push process constraints. APC reduces process variability, enabling manufacturers to run closer to desired targets and push to constraints with more confidence. The result is more throughput, higher quality product or both. Increased operational efficiency.

This is measured in terms of reduced raw materials and energy consumption. A food industry success story Fonterra Co-operative Group Ltd.