Journal articles: 'Workflow Production management'

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Sip, Roman. "Workflow of the Management in Printing Production in Condition of Print on-Demand." INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND BUSINESS ADMINISTRATION 2, no. 10 (2015): 25–36. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.210.1003.

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Print-on-demand technology allows printing single book up to 200 copies. Correct use of digital printing and binding equipment effectively addresses the economics of this process as well. A process of storing the books is ignored as the number of printed copies is directly related to the number of orders. Publishing house owning the printed version of PDF publication chooses the file from the database and sends it to the printing company with the on-demand printer. This process is highly efficient for printing companies and also for bookstores as well. Bookstores should be no exception in being Print-on-demand printer owners.

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Tong, Xin, Xiao Long Zhang, Xin Xu, and Ju Hong Qi. "Improving Workflow Management System Implementation with Workflow Localization Method." Applied Mechanics and Materials 513-517 (February 2014): 3859–63. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3859.

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The workflow management system plays an important role in enterprise information management system. An enterprise workflow contains a lot of business process and their relevancies. These relevancies are important in building workflow management system. This paper proposes a business relevance based workflow localization method to divide the workflow locally. In this method, a workflow is treated as a combination of local processes; therefore single task can be divided into several subtasks. This method can reduce the difficulty and improve the efficiency in building workflow management system. This method has been practically applied to the design and development of steel pipe production supervision control system. The actual results validate the effectiveness of the proposed workflow localization method.

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Herner, Kenneth. "DUNE Production processing and workflow management software evaluation." EPJ Web of Conferences 245 (2020): 03019. http://dx.doi.org/10.1051/epjconf/202024503019.

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The Deep Underground Neutrino Experiment (DUNE) will be the world’s foremost neutrino detector when it begins taking data in the mid-2020s. Two prototype detectors, collectively known as ProtoDUNE, have begun taking data at CERN and have accumulated over 3 PB of raw and reconstructed data since September 2018. Particle interaction within liquid argon time projection chambers are challenging to reconstruct, and the collaboration has set up a dedicated Production Processing group to perform centralized reconstruction of the large ProtoDUNE datasets as well as to generate large-scale Monte Carlo simulation. Part of the production infrastructure includes workflow management software and monitoring tools that are necessary to efficiently submit and monitor the large and diverse set of jobs needed to meet the experiment’s goals. We will give a brief overview of DUNE and ProtoDUNE, describe the various types of jobs within the Production Processing group’s purview, and discuss the software and workflow management strategies are currently in place to meet existing demand. We will conclude with a description of our requirements in a workflow management software solution and our planned evaluation process.

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Singh, Gurmeet, Karan Vahi, Arun Ramakrishnan, Gaurang Mehta, Ewa Deelman, Henan Zhao, Rizos Sakellariou, et al. "Optimizing Workflow Data Footprint." Scientific Programming 15, no. 4 (2007): 249–68. http://dx.doi.org/10.1155/2007/701609.

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In this paper we examine the issue of optimizing disk usage and scheduling large-scale scientific workflows onto distributed resources where the workflows are data-intensive, requiring large amounts of data storage, and the resources have limited storage resources. Our approach is two-fold: we minimize the amount of space a workflow requires during execution by removing data files at runtime when they are no longer needed and we demonstrate that workflows may have to be restructured to reduce the overall data footprint of the workflow. We show the results of our data management and workflow restructuring solutions using a Laser Interferometer Gravitational-Wave Observatory (LIGO) application and an astronomy application, Montage, running on a large-scale production grid-the Open Science Grid. We show that although reducing the data footprint of Montage by 48% can be achieved with dynamic data cleanup techniques, LIGO Scientific Collaboration workflows require additional restructuring to achieve a 56% reduction in data space usage. We also examine the cost of the workflow restructuring in terms of the application's runtime.

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BAUER, THOMAS, THOMAS BEUTER, MICHAEL WEITNER, and THOMAS BÄR. "INTEGRATION OF ENGINEERING AND PRODUCTION PLANNING WORKFLOWS." Journal of Advanced Manufacturing Systems 04, no. 01 (June 2005): 37–52. http://dx.doi.org/10.1142/s0219686705000564.

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To improve the total product development process, engineering and production planning processes have to be integrated into one overall workflow. These processes are performed in different application systems, partially with workflow support (e.g. Enovia Workflow) and partially without (e.g. Manufacturing Hub). In order to achieve higher process reliability and performance as well as continuous information flow, the overall workflow shall be controlled by a general-purpose workflow management system (WfMS). Thus, the overall workflow may serve as a base for monitoring, reporting, and process visualization with the goal of managing the workflow execution. In this paper, we present a general approach that realizes the control of the overall workflow in conjunction with the execution of local workflow fragments by heterogeneous application systems. This approach is used to integrate the Dassault Systemes products Enovia V5 and Manufacturing Hub into an overall workflow controlled by the IBM WBI Workflow component. The paper describes how such an integration can be realized for these systems.

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Misic, Dragan, Dragan Domazet, Miroslav Trajanovic, Miodrag Manic, and Milan Zdravkovic. "Concept of the exception handling system for manufacturing business processes." Computer Science and Information Systems 7, no. 3 (2010): 489–509. http://dx.doi.org/10.2298/csis090608006m.

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Business processes managed by information systems rarely operate according to the pre defined scenario. Exceptions to the pre defined workflows occur frequently. This especially applies to the production processes, which are very complex and require a constant human involvement. Workflow management systems should be capable of responding adequately to the exceptions caused by the process environment. Moreover, the response should be automatic, if possible, i.e. the workflow should automatically adapt to the new situation, or otherwise, the system administrator should be informed, so that he could take appropriate actions. This paper presents workflow management system MD, which is capable of offering a satisfying solution to the detected exceptions.

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Choi, Jaehyun, and R. Edward Minchin. "Workflow management and productivity control for asphalt pavement operations." Canadian Journal of Civil Engineering 33, no. 8 (August 1, 2006): 1039–49. http://dx.doi.org/10.1139/l06-055.

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The construction industry is characterized by high uncertainty and variability in terms of controlling the production and productivity of its operations. Construction projects are sophisticated and have a much larger range of uncertainty than, say, the manufacturing production line. Previous research has shown the cause-and-effect between workflow management and production, but most documented research studied labor-intensive operations, partly because less variability has been assumed in the production of equipment-intensive operations. Therefore, measurement of productivity for equipment-intensive work has been almost nonexistent, and charts and tables provided by manufacturers are relied upon with no regard for factors other than those acknowledged by the manufacturer's handbook. The research team assembled for this study measured daily production rates for highway pavement construction, verified factors that adversely affected performance, and quantified the loss of work hours caused by each factor. The team found that productivity in highway pavement construction contains significant variability.Key words: workflow management, equipment intensive, production variability, highway pavement, delay, disruption.

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Вальс, В. И. "Using the Lean-Production principle when optimizing the organization's workflow." Informacionno-technologicheskij vestnik, no. 4(26) (December 15, 2020): 83–88. http://dx.doi.org/10.21499/2409-1650-2020-26-4-83-88.

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В статье рассматриваются основные элементы бережливого производства и аспекты его реализации. В статье описывается процесс оптимизации документооборота компаний в соответствии с концепцией бережливого производства и системы менеджмента качества, основанной на принципе «один процесс – один документ». The article discusses the main elements of lean manufacturing and aspects of its implementation. The article describes the process of optimizing the workflow of companies in accordance with the concept of lean manufacturing and a quality management system based on the principle of «one process –one document».

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Zou, L. H., D. M. Gou, C. L. Sun, and H. Gao. "Workflow Modeling for Cooperative Production Development Based upon Advanced Petri Net." Key Engineering Materials 392-394 (October 2008): 810–15. http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.810.

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Process modeling of Cooperative Product Development (CPD) is the key of CPD process management. Analyzing the process of developing production based upon Petri Nets, referring to workflow management and combining with parallel project, a new workflow modeling method based upon layered timed color Petri nets is invented, which supports the developing of the model production that parallels CAD/CAPP. Finally taking the developing CDP of model product as an example, workflow model has been designed and has been inspected and verified in the software platform.

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Elser, Matthias, Ronald Mies, Peter Altendorf, Alberto Messina, Fulvio Negro, Werner Bailer, Albert Hofmann, and Georg Thallinger. "A business-driven framework for automatic information extraction in professional media production." International Journal of Web Information Systems 11, no. 3 (August 17, 2015): 397–414. http://dx.doi.org/10.1108/ijwis-03-2015-0005.

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Purpose – This paper aims to propose a service-oriented framework for performing content annotation and search, adapted to the task context. Media production workflows are becoming increasingly distributed and heterogeneous.The tasks of professionals in media production can be supported by automatic content analysis and search and retrieval services. Design/methodology/approach – The processes of the framework are derived top-down, starting from business goals and scenarios in audiovisual media production. Formal models of tasks in the production workflow are defined, and business processes are derived from the task models. A software framework enabling the orchestrated execution of these models is developed. Findings – This paper presents a framework that implements the proposed approach called Metadata Production Management Framework (MPMF). The authors show how a media production workflow for a real-world scenario is implemented using the MPMF. Research limitations/implications – The authors have demonstrated the feasibility of a model-based approach for media processing. In the reification step, there is still information that needs to be provided in addition to the task models to obtain executable processes. Future research should target the further automation of this process. Practical implications – By means of this approach, the implementation of the business process defines the workflow, whereas the services that are actually used are defined by the configuration. Thus, the processes are stable and, at the same time, the services can be managed very flexibly. If necessary, service implementations can also be completely replaced by others without changing the business process implementation. Originality/value – The authors introduce a model-based approach to media processing and define a reification process from business-driven task models to executable workflows. This enables a more task-oriented design of media processing workflows and adaptive use of automatic information extraction tools.

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Zhou, Yong Quan, Miao Miao, and Fang Lai Zhu. "4Ps Framework of Tooling Development and Management." Advanced Materials Research 97-101 (March 2010): 3327–31. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.3327.

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4Ps (Proof of concept, Product development, Production, Product Retirement) framework of tooling development and management processes has been established to improve tooling design and manufacture workflow, communication, quality, OTD(On-Time Delivery). A creation of a scalable and flexible best-of-breed workflow from proof of concept phase to production retirement phase has been introduced and strongly supported the needs of each development team of tooling project. The creation and standardization of 4Ps framework have clearly identified and explored the activities, responsibilities and deliverables of tooling project team, throughout the tooling life cycle. Some toolmakers of famous IT companies have benefited considerably by applying these processes.

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Mans, Ronny, Wil van der Aalst, Nick Russell, Piet Bakker, and Arnold Moleman. "Lightweight Interacting Patient Treatment Processes." International Journal of Knowledge-Based Organizations 2, no. 4 (October 2012): 1–19. http://dx.doi.org/10.4018/ijkbo.2012100101.

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Processes concerning the diagnosis and treatment of patients cannot be straightjacketed into traditional production-like workflows. They can be best characterized as weakly-connected interacting light-weight workflows where tasks reside at different levels of granularity, and for each individual patient a doctor proceeds in a step-by-step way deciding what next steps be taken. Classical workflow notations fall short in supporting these patient processes as they have been designed to support monolithic processes. Classical notations (WF-nets (work flow nets), BPMN (Business Process Model and Notation), EPCs (Electronic Prescriptions for Controlled Substances), etc.) assume that a workflow process can be modeled by specifying the life-cycle of a single case in isolation. To address these problems, the authors present an extension of the Proclets framework which allows for dividing complex entangled processes into simple autonomous fragments. Additionally, increased emphasis is placed on interaction related aspects such that fragment instances for individual patients can cooperate in any desired way. The authors describe an implementation of the Proclets framework. Proclets have been added to the open-source Workflow Management System YAWL to better support inter-workflow support functionalities.

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REIJERS, H. A., and S. POELMANS. "RE-CONFIGURING WORKFLOW MANAGEMENT SYSTEMS TO FACILITATE A "SMOOTH FLOW OF WORK"." International Journal of Cooperative Information Systems 16, no. 02 (June 2007): 155–75. http://dx.doi.org/10.1142/s0218843007001615.

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The image of workflow systems as being context-insensitive technology, hindering rather than supporting people in performing their work may still exist at present. This impression is also raised in the well-known and often cited case study within Establishment Printers. Using this case as a starting point, this paper presents an analysis of more recent workflow implementations to support the view that modern workflow systems are widely applied in the services industry and are considered useful by performers to support their way of working. In cases where the introduction of workflow technology initially disrupted the flow of work, a wide range of configuration options was available to mend such situations. A detailed analysis of a workflow implementation in a Belgian financial organization clearly shows that re-configuration decisions, like a finer step granularity, can transform a pre-structured production-type workflow system into a flexible application allowing and supporting a smooth flow of work.

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Qian, Fu, and Zhang Shensheng. "Product Development Process Management System Based on P_PROCE Model." Concurrent Engineering 10, no. 3 (September 2002): 203–11. http://dx.doi.org/10.1177/106329302761689124.

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Product data management (PDM) systems are enabling tool of concurrent engineering (CE). Although the PDM system provides good support for product data, particularly at the early stages of design, it is seldom used beyond the design process. Furthermore, it provides few facilities for activity definition and no facilities for the enactment of production activities. In order to manage the whole lifecycle of motorcycle development, this paper presents a product development process management system that integrates the workflow management system (WFMS) with the PDM. On one hand we can use the powerful product data management functionality of PDM systems, on the other hand we can use the effective process management and control functionalities of WFMS. For the sake of guiding and constraining the workflow modeling, we provide an integrated product development workflow model named P_PROCE model. It is made up of five views that are the process view(P), the product view(P), the resource view(R), and the organization view(O), the control & evaluation view(CE). Based on this model, the architecture and implementation of the product development process management system is presented. It consists of the workflow modeling module, the workflow enactment module and the PDM system. The first module includes process modeling, system sustain and API. The second module includes the personal desktop and the workflow engine. The PDM system is regarded as a workflow-enabled application. The workflow engine invokes it by the Tool Agent.

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Zhang, Da Wei, Rui Yuan Zhang, Hong Wei Ma, and Xian Gang Cao. "Production Process Modeling and Realizing Based on Activiti." Applied Mechanics and Materials 532 (February 2014): 644–49. http://dx.doi.org/10.4028/www.scientific.net/amm.532.644.

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In a view of the problem of traditional workflow in the manufacturing process management, such as low utilization, complex modeling and difficulty of combing system, modeling based on the commonness of manufacturing enterprise production process, in combination with Activiti workflow engine characteristics, to achieve the goal of integrate process model into system quickly. The whole process, including modeling, packaging, deployment, test validation, is easy to be modified and published quickly. Experimental results show that the Activiti modeling method has the characteristics of flexible, simple and diverse, greatly improvement of the utilization of production process model and the efficiency of modeling.

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Alexopoulos, K., S. Makris, V. Xanthakis, and G. Chryssolouris. "A web-services oriented workflow management system for integrated digital production engineering." CIRP Journal of Manufacturing Science and Technology 4, no. 3 (January 2011): 290–95. http://dx.doi.org/10.1016/j.cirpj.2011.06.002.

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Casanova, Henri, Rafael Ferreira da Silva, Ryan Tanaka, Suraj Pandey, Gautam Jethwani, William Koch, Spencer Albrecht, James Oeth, and Frédéric Suter. "Developing accurate and scalable simulators of production workflow management systems with WRENCH." Future Generation Computer Systems 112 (November 2020): 162–75. http://dx.doi.org/10.1016/j.future.2020.05.030.

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Toelle, B., and J. Lingley. "A METHOD FOR CONDUCTING A 'COMPLETE PROCESS' WORKFLOW ANALYSIS." APPEA Journal 40, no. 1 (2000): 596. http://dx.doi.org/10.1071/aj99039.

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Many companies within the exploration and production industry have recently begun performing workflow studies with in-house personnel, or in collaboration with consulting groups that have the required expertise. While in-house studies often yield good results, outside consultants specialising in these types of studies can often recognise a broader range of workflow-related issues. There are many benefits companies realise from conducting these studies. Complete and periodic reviews of the E&P processes being conducted allow companies to determine whether or not they are using the 'State of the Science' methodologies needed to maintain a competitive lead. Information obtained during a workflow study helps a company's management to develop or adjust existing plans for effectively combining existing personnel, technology and data.Workflow studies may be approached in a number of ways. While some address specific portions of a company's workflow, such as its data flow, others seek rapid benefits, or 'quick hits'. The various types of workflow studies all have a place in the process re-engineering arena. However, one type, the 'complete process workflow analysis', offers companies the opportunity to solve the greatest number of process oriented issues.This type of study follows a specific pattern and starts by identifying main business drivers and objectives. Additional steps include the review of existing 'planned workflows', determining the actual workflow, analysis and issue identification, developing a 'recommended workflow', and educating company personnel in the new 'recommended' process. It is this 'complete process workflow analysis' that is discussed in this paper.

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Wang, Chun Bo, Zhong Yi Wei, Chun Lu, and Hui Hui Zhang. "Study on the Establishment of Land Information Management System." Applied Mechanics and Materials 220-223 (November 2012): 2560–63. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2560.

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Along with the “digital Land” was put forward and the extensive application of the network technology, it brings profound influence to land information production and daily management work. This paper expounds a number of key technical problems and solutions in the establishment of land information management system with workflow, including system structure, history data management, GIS and OA integration and workflow issues. Combined with the characteristics of land information management system, this paper uses the component development method to realize land information management system with the integration of GIS and OA.

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Rácz-Szabó, András, Tamás Ruppert, László Bántay, Andreas Löcklin, László Jakab, and János Abonyi. "Real-Time Locating System in Production Management." Sensors 20, no. 23 (November 26, 2020): 6766. http://dx.doi.org/10.3390/s20236766.

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Real-time monitoring and optimization of production and logistics processes significantly improve the efficiency of production systems. Advanced production management solutions require real-time information about the status of products, production, and resources. As real-time locating systems (also referred to as indoor positioning systems) can enrich the available information, these systems started to gain attention in industrial environments in recent years. This paper provides a review of the possible technologies and applications related to production control and logistics, quality management, safety, and efficiency monitoring. This work also provides a workflow to clarify the steps of a typical real-time locating system project, including the cleaning, pre-processing, and analysis of the data to provide a guideline and reference for research and development of indoor positioning-based manufacturing solutions.

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Hoffmann, Marc Steven, Adam Neiberger, Gloria Solis, Marshall Johnson, and Debbie Fernandez. "Sustaining safety and delivery of oral chemotherapy utilizing lean methodology." Journal of Clinical Oncology 39, no. 28_suppl (October 1, 2021): 218. http://dx.doi.org/10.1200/jco.2020.39.28_suppl.218.

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218 Background: An oral chemotherapy safety event in 2017 prompted analysis of related workflows utilizing lean quality improvement methodology. Three kaizen workshops utilizing lean methodology with primary objectives to 1) develop safety standards for oral chemotherapy as rigorous as those for intravenous chemotherapy; 2) improve efficiency; and 3) design workflows that enable data collection and process control were conducted. Since 2017, our goal has been to sustain developed workflows to ensure oral chemotherapy patients have the right oral chemotherapy agent, at the right dose, at the right time, with independent and efficient safety checks by all care providers. Methods: After multidisciplinary teams participated in three kaizen workshops to develop workflows, education plans were developed and results were incorporated into the lean management system. The lean production method of Training Within Industry (TWI) was used to train physician, nursing, and pharmacy teams to the workflows. Results were communicated to key stakeholders weekly to monitor progress on workflow creation, spread, and process metrics designed to signal defects in the workflow. When processes were deemed ‘out of control,’ clinical team members provided regular and targeted interventions. Safety data were collected and correlated to surrogate outcomes for long-term impact assessment. Results: Interventions resulted in the following outcomes: 62 consecutive weeks with 99% reduction in oral chemotherapy defects reaching pharmacy. 86 consecutive weeks with 51% error reduction processing oral chemotherapy though a single EMR workflow. 57 consecutive weeks with 62% error reduction processing oral chemotherapy though a single EMR workflow. No serious safety events have occurred since 2017. Conclusions: Comprehensive quality improvement in our oral chemotherapy process has resulted in sustained safety, efficiency, and a data collection to signal when process defects occur. Multidisciplinary teams utilizing established lean methodology were critical to success.

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Giannakis, Giorgos, Vassilis S. Kouikoglou, and Spilios Nikitas. "Workflow analysis of production lines with complete inspection and rework loops." International Journal of Production Research 48, no. 24 (January 27, 2010): 7321–36. http://dx.doi.org/10.1080/00207540903469050.

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Liu, B., T. J. Jin, and Y. L. Ma. "Key Technologies in Project-Driven Hierarchical Information System of Production Management (HISPM)." Applied Mechanics and Materials 10-12 (December 2007): 121–26. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.121.

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In the light of project management, concurrent engineering and agile manufacturing, in relation to the characteristics of the concurrence of developing and batch manufacturing, this text studies the hierarchical information technology of the production management system based on project driving. The operation flow of project-driven hierarchical information system of production management has been designed and implemented. The soft architecture and operating model have been proposed. The coordinating and controlling model based on workflow, queuing theory, and the capability balancing method are established.

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Titov, Mikhail, Mikhail Borodin, Dmitry Golubkov, and Alexei Klimentov. "Advanced Analytics service to enhance workflow control at the ATLAS Production System." EPJ Web of Conferences 214 (2019): 03007. http://dx.doi.org/10.1051/epjconf/201921403007.

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Modern workload management systems that are responsible for central data production and processing in High Energy and Nuclear Physics experiments have highly complicated architectures and require a specialized control service for resource and processing components balancing. Such a service represents a comprehensive set of analytical tools, management utilities and monitoring views aimed at providing a deep understanding of internal processes, and is considered as an extension for situational awareness analytic service. Its key points are analysis of task processing, e.g., selection and regulation of key task features that affect its processing the most; modeling of processed data life-cycles for further analysis, e.g., generate guidelines for particular stage of data processing; and forecasting processes with focus on data and tasks states as well as on the management system itself, e.g., to detect the source of any potential malfunction. The prototype of the advanced analytics service will be an essential part of the analytical service of the ATLAS Production System (ProdSys2). Advanced analytics service uses such tools as Time-To-Complete (TTC) estimation towards units of the processing (i.e., tasks and chains of tasks) to control the processing state and to be able to highlight abnormal operations and executions. Obtained metrics are used in decision making processes to regulate the system behaviour and resources consumption.

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Qu, Ju Bao, Sheng Liu, and Hong Tao Liang. "Based on Grid of Reconfigurable Manufacturing Execution System." Applied Mechanics and Materials 20-23 (January 2010): 288–93. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.288.

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The use of grid manufacturing system, has become the trend of modern manufacturing technology. With reference to the idea of component design for workshop production business, a workflow and multi-agent based Grid of Reconfigurable of Manufacturing Execution System (GRMES) is presented. The configurable workshop production business can be handled, and the MES application system can correspondingly adjust with its change. The KQML is expanded to compensate for its description ability in the Workflow management system. XML is applied to support the data flow in GRMES, format the dispatched tasks and KQML, which can securely and concisely transfer different data among the workflow engines, agents and application on the GRMES. GRMES improves the problems such as adaptability and reconstructivity, which exist in the traditional MES.

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Zhou, Wei, Yun Qing Rao, Xin Yu Shao, and Bing Gang Wang. "Manufacturing Execution System Based on a Production Process Modeling." Applied Mechanics and Materials 16-19 (October 2009): 404–9. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.404.

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Configurable MES is a hot attention in today’s industry. In this work, we present a MES model based on a production process modeling method. With the workflow management technology, a configurable MES framework is introduced and some important implementation methods such as production process modeler, activity script language and production process scheduler are presented. A successful application of an automobile engine assembly line shows that this model is useful and effective.

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Chen, Xing. "Research of Building Safety Management System of Reply Protection in Power Company Based on Workflow." Advanced Materials Research 805-806 (September 2013): 1190–93. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.1190.

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With sustained economic development in China and the acceleration of grid construction, the number of new or expanding substations construction has increased dramatically. As a major line of defense to achieve the production of Power Company, security management of relay protection and security automatic devices has a direct impact to the safety production. proposes to build relay protection safety management system based on workflow to deal with the security management requirements of power supply enterprise by analyzing implementation processing of the operation management system and inspection procedures of relay protection in certain power company, and some of which have been in the company management system and achieved good application.

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Bockelman, Brian Paul, Edgar Fajardo Hernandez, Diego Davila Foyo, Kenyi Hurtado Anampa, Farrukh Aftab Khan, Krista Larson, James Letts, et al. "Producing Madgraph5_aMC@NLO gridpacks and using TensorFlow GPU resources in the CMS HTCondor Global Pool." EPJ Web of Conferences 214 (2019): 03004. http://dx.doi.org/10.1051/epjconf/201921403004.

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The CMS experiment has an HTCondor Global Pool, composed of more than 200K CPU cores available for Monte Carlo production and the analysis of da.The submission of user jobs to this pool is handled by either CRAB, the standard workflow management tool used by CMS users to submit analysis jobs requiring event processing of large amounts of data, or by CMS Connect, a service focused on final stage condor-like analysis jobs and applications that already have a workflow job manager in place. The latest scenario canbring cases in which workflows need further adjustments in order to efficiently work in a globally distributed pool of resources. For instance, the generation of matrix elements for high energy physics processes via Madgraph5_aMC@NLO and the usage of tools not (yet) fully supported by the CMS software, such as Ten-sorFlow with GPUsupport, are tasks with particular requirements. A special adaption, either at the pool factory level (advertising GPU resources) or at the execute level (e.g: to handle special parameters that describe certain needs for the remote execute nodes during submission) is needed in order to adequately work in the CMS global pool. This contribution describes the challenges and efforts performed towards adaptingsuch workflows so they can properly profit from the Global Pool via CMS Connect.

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Zhong, Yun Fei, Xiao Qi Peng, Xi Yu Xiao, Qiao Li Zhang, and Qian Kun Cheng. "A Preliminary Study of JDF-Based ERP System in the Printing Enterprises." Advanced Materials Research 102-104 (March 2010): 851–55. http://dx.doi.org/10.4028/www.scientific.net/amr.102-104.851.

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Job definition format (JDF) can carry out management and control during the whole printing processes while enterprise resources planning (ERP) system can help enterprises implement supply chain-based integrated management. Base on the analysis of JDF’s and ERP’s identities, according to their adaptability to the printing industry, we designed the combined system model of JDF workflow system and ERP management information system. Under the premise of the most optimal allocation of business resources, production management and information management of the whole printing process from order, production, and enterprise management to the logistics can be obtained.

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Ortiz, Angel, Francisco Lario, Lorenzo Ros, and Majd Hawa. "Building a production planning process with an approach based on CIMOSA and workflow management systems." Computers in Industry 40, no. 2-3 (November 1999): 207–19. http://dx.doi.org/10.1016/s0166-3615(99)00025-1.

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Wang, Jinfu. "Multi-Agent based Production Management Decision System Modelling for the Textile Enterprise." Journal of Global Information Management 25, no. 4 (October 2017): 1–15. http://dx.doi.org/10.4018/jgim.2017100101.

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To extract useful information from massive production processing data, firstly, production process and business workflow of the textile processing were analyzed, and the complex relationship and high dimensional feature of the stored data were studied. Secondly, a production management structure model based on multi-Agent was proposed by using the Multi-agent technology, relationship model, fuzz C means clustering algorithm (FCM) and expert system. And then, the rationality of the model was introduced, working principle, data computation process and message communication of multiple agents were elaborated, and finally a textile production process management system was designed. As verified by the application, the system the author proposed is superior to the existing textile production management system, and its functions strengthen the interactivity role both the user and the system, meet the requirements of the production management, intelligent decision and personalized service, and realize the heterogeneous integration among the different databases.

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Jayakumar, R., and R. Rai. "Impact of Uncertainty in Estimation of Shale-Gas-Reservoir and Completion Properties on EUR Forecast and Optimal Development Planning: A Marcellus Case Study." SPE Reservoir Evaluation & Engineering 17, no. 01 (January 30, 2014): 60–73. http://dx.doi.org/10.2118/162821-pa.

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Summary The use of multistage-fractured horizontal wells has made production from shale-gas plays feasible. The production history from these wells is characterized by long linear transient flow. The key reservoir (nature) and completion (nurture) properties that affect flow behavior of the well are permeability, original hydrocarbon in place (OHIP), number of hydraulic fractures, fracture area, and fracture spacing. Understanding the interrelationship between these parameters is critical for optimal development of shale-gas-resource plays. The proposed shale-gas workflow uses a hybrid analytical model. An analytics-based diagnostic process analyzes well performance history, and a numerical model validates the feasible history-match models for representative forecasts. The model results allow the user to capture the range of uncertainty in estimating individual reservoir or completion properties, such as permeability, fracture area, and fracture spacing. The diagnostic process provides the relationship between key factors dictating well performance, such as OHIP, effective fracture area, effective reservoir permeability, effective fracture spacing, and well spacing. In this paper, wells from the Marcellus play in Pennsylvania, USA, are evaluated by use of the proposed shale-gas workflow. Surveillance is an integral part of this workflow. The paper shows how surveillance can be used for resource management and exception management. Along with data mining, the workflow accelerates the learning curve to evaluate the effectiveness of current field practices. The results help with understanding the effectiveness of proppant pumped, the potential number of contributing clusters, and production issues. Continued surveillance reduces the uncertainty surrounding all parameters. This knowledge base can then be used to optimize the asset-development strategy, maximizing the return on investment.

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Elmsheuser, Johannes, and Alessandro Di Girolamo. "Overview of the ATLAS distributed computing system." EPJ Web of Conferences 214 (2019): 03010. http://dx.doi.org/10.1051/epjconf/201921403010.

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The CERN ATLAS experiment successfully uses a worldwide computing infrastructure to support the physics program during LHC Run 2. The Grid workflow system PanDA routinely manages 250 to 500 thousand concurrently running production and analysis jobs to process simulation and detector data. In total more than 370 PB of data is distributed over more than 150 sites in the WLCG and handled by the ATLAS data management system Rucio. To prepare for the ever growing LHC luminosity in future runs new developments are underway to even more efficiently use opportunistic resources such as HPCs and utilize new technologies. This paper will review and explain the outline and the performance of the ATLAS distributed computing system and give an outlook to new workflow and data management ideas for the beginning of the LHC Run 3. It will be discussed that the ATLAS workflow and data management systems are robust, performant and can easily cope with the higher Run 2 LHC performance. There are presently no scaling issues and each subsystem is able to sustain the large loads.

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Feng, Mei Lin, Jian Guo Yu, Yu Wu, and Peng Peng Huang. "Design and Development of Integrated Manufacturing Execution System of Solar Photovoltaic Modules Production Based on J2EE." Applied Mechanics and Materials 271-272 (December 2012): 422–26. http://dx.doi.org/10.4028/www.scientific.net/amm.271-272.422.

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Aiming at the design and development of integrated Manufacturing Execution System (MES) of solar photovoltaic modules production, the difficulty of the manufacturing execution management was pointed out combining with solar photovoltaic modules production flow, the goals and main functions of the integrated MES were analyzed and designed based on the analysis of solar photovoltaic modules production enterprise’s main characteristics and management status. The physical data model of MES was designed by Power Designer software and some key function modules which include workshop plans and scheduling management, Workflow management and control system and process quality control were developed based on J2EE. The practical applications in some solar photovoltaic modules production enterprises were proved that the integrated MES could enhance the manufacturing management level of solar photovoltaic modules production effectively.

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Laredj, M. A., and K. Bouamrane. "Workflow specification for interaction management between experts in a cooperative remote diagnosis process." Computer Science and Information Systems 8, no. 3 (2011): 573–90. http://dx.doi.org/10.2298/csis100326001l.

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The maintenance became one of the strategic industrial functions. Far from being stabilized today, it progress by introducing the new management methods and the technological development of the production equipments, in particular in the measurement and the control operation. All these factors modify the organization modes of the maintenance function, which converges more and more towards a cooperative approach. It will absorb a big part henceforth, and subsequently, will require a rigorous modeling allowing its future implementation. In this fact, we propose the specification of a workflow model to assist the cooperative maintenance. It main aim, will be to coordinate the interactions between the various intervening actors in the maintenance process.

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Liu, Yue Tong, Yu Jun Wen, and Peng Zhou Zhang. "Basedon Multi-Screen Integration Workflow Scheduling Program Authoring Management System Design and Implementation." Applied Mechanics and Materials 519-520 (February 2014): 524–29. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.524.

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In recent years multi-screen integration technological become a hot topic. The practical using of television screens, computer screens and mobile phone screens fusion technology provides broad prospect and more chance that we can choose for the market At the same, the using of fusion technology provides an effective carrier for different industries. This paper introduced a workflow system which based on multi-screen integration technology. As we know, the current program authoring system in broadcasting industry could be managed on online, including the inquiry and approval of news topics. But most systems could not support program production management through mobile terminal. In this paper the system realizes the workflow scheduling model by using WCF-rest architecture design. It could truly implement mobile office for us by using work flow scheduling model and intelligent terminal and combining with the new media intelligent multi-screen integration platform.

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Petrosyan, Artem. "COMPASS Production System Overview." EPJ Web of Conferences 214 (2019): 03039. http://dx.doi.org/10.1051/epjconf/201921403039.

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Migration of COMPASS data processing to Grid environment has started in 2015 from a small prototype, deployed on a single virtual machine. Since summer of 2017, the system works in production mode, distributing jobs to two traditional Grid sites: CERN and JINR. Now the infrastructure of COMPASS Grid Production System includes 6 virtual machines, each is reserved for one production service: database, PanDA, Auto Pilot Factory, Monitoring, CRIC information system and, finally, production system (ProdSys) management instance, which provides a user interface for production manager and hosts services of automatic processing. Support of COMPASS virtual organization is provided by CERN IT. CRIC is also deployed at CERN Cloud Service. Other ProdSys services are deployed at JINR Cloud Service. There are two storage elements at CERN: EOS for short-term storage and Castor for long-term storage. During last year, along with providing a 24/7 service, the system was instrumented by many features, which allow automating data processing as much as possible. Recently, Blue Waters HPC has become a member of the computing infrastructure of the experiment. Details of implementation, workflow management, and infrastructure overview are presented in this article.

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da Cruz Schaefer, Bruno, and Marcio Augusto Sampaio. "Efficient workflow for optimizing intelligent well completion using production parameters in real-time." Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 75 (2020): 69. http://dx.doi.org/10.2516/ogst/2020061.

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Intelligent Well Completion (IWC) has been successfully deployed over the years to improve reservoir management, with better results in heterogeneous reservoirs. This work proposes an efficient workflow to identify well candidates for Inflow Control Valves (ICV) application and production optimization using parameters in real time. The methodology searches for potential reservoir layer grouping in the producer well, in order to control zonal flow, without expending too much computational time in valve positioning. ICV control strategy uses real-time production guide rates generated by the simulator, reducing optimization parameters. The proposed workflow is applied to a synthetic reservoir model, with properties similar to the Brazilian pre-salt area. This novelty strategy for ICV modelling and control presented a significant reduction in optimization parameters. Results show that Net Present Value (NPV) – and IWC economic gain – are highly dependent on the economic scenario. Nevertheless, the methodology has potential for application in more complex simulations, with greater number of wells or optimization parameters, like multi-position or continuously variable position ICV.

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Yung, Kai Leung, Ming Gao, An Liu, Wai Hung Ip, and Shancheng Jiang. "Colored Petri Net-Based Verification and Improvement of Time-Sensitive Single-Unit Manufacturing for the Soil Preparation Instrument of Space Missions." Discrete Dynamics in Nature and Society 2020 (August 25, 2020): 1–18. http://dx.doi.org/10.1155/2020/2162869.

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Various space missions, including the Russian and Chinese interplanetary exploration collaboration in 2011 and the Phobos-Grunt space project to be relaunched by the Chinese in 2025, carry a soil preparation system (SOPSYS), which is an instrument used for scientific experiments. The design and manufacture of this precision instrument require stringent manufacturing processes and workflow of the highest quality, with every process in the project carefully monitored and controlled. All processes should be completed within the deadline so that the space project can be launched at the scheduled time. The colored Petri net (CPN) modeling method can describe a variety of resource types and execution logic, and it can be formally verified. Based on these advantages, we clearly describe the complex structure of the SPOSYS unit production process. In addition, we use critical time and the 6 sigma system to evaluate the availability and reliability of workflows, and we use elimination and simplification (ECRS) methods and constraint theory to improve the manufacturing process of the SOPSYS unit. We further provide optimization theories, methods, and insights for workflow management in time-sensitive and independent manufacturing systems.

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Di Lorenzo, R., M. Paolucci, A. Didona, and E. Lotti. "From xray to display: A quality management system workflow for production and visualization of radiological images." Physica Medica 32 (September 2016): 314. http://dx.doi.org/10.1016/j.ejmp.2016.07.186.

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Lee, Kwangkook, and Jong Gye Shin. "Development of an IHOP Execution System Based on Analyses of Shipyard Production Planning Process." Journal of Ship Production and Design 36, no. 02 (May 1, 2020): 131–42. http://dx.doi.org/10.5957/jspd.2020.36.2.131.

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Production management in shipyards is one of the most significant activities impacting productivity. On-site managers and production planners still do not have sufficient production information to enable on-site scheduling because of restricted information sharing among departments. In this research, the main production management challenges were determined from workflow simulations of the production planning processes. An analysis of the requirements for effective communication between production management and on-site personnel was undertaken to establish an integrated hull construction, outfitting, and painting execution system architecture for shipyard applications, developed following the component-based design methodology. The proposed systems key functions encompass stages from block assembly to hull outfitting at the quay, and enable visualization of the production progress through color differentiation to maximize production information sharing. The proposed system facilitates the transmission of reliable and accurate production information to all relevant personnel in an appropriate timeframe.

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Shao, Jing Feng, Qian Li, Jia Li, and Lan Shuang Qin. "Application and Key Technique Research of Monitoring and Control System for Drawing and Coving Workshop." Applied Mechanics and Materials 16-19 (October 2009): 1268–72. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.1268.

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Aiming at the presently slow informationization development phenomenon in the drawing and coving workshop of textile enterprise, we analyze actual existing problems in production management and information development, use some theories and techniques to propose many solutions. According to the actual requirements of workshop, we implement a real-time monitoring and control system based on LAN. System’s structure and workflow, the key techniques within the system development are researched, the accuracy of production data is ensured by using numerical approximation theories. As proved by practice, the system's structure is simple, easy maintenance and low cost, meantime, furthermore, system can run stably, collect accurately production data, and its functions meet production control and information management of workshop needs.

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Li, Xiu Lin, Jian Sha Lu, Guo Zhong Chai, and Hong Tao Tang. "Design of Holonic Manufacturing Execution System with Control Mechanism Based Stigmergy." Advanced Materials Research 102-104 (March 2010): 776–80. http://dx.doi.org/10.4028/www.scientific.net/amr.102-104.776.

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To deal with problem of manufacturing system stability caused by uncertain factors in discrete production process, holon was introduced to manufacturing execution system (MES). A distributed manufacturing control architecture based on holon was established. This architecture using cooperation mechanism based stigmergy to realize agility, autonomy and intelligence of system control. Based on the architecture, holon driven agents to visit production elements, acquiring dynamic information of production process. Model design of production factors as order, resource, raw material, product and management factors as optimize, execution was described amply. Finally, workflow of this system was depicted with an example of uncertain order factor.

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Hutchinson, Tim. "Natural language processing and machine learning as practical toolsets for archival processing." Records Management Journal 30, no. 2 (May 16, 2020): 155–74. http://dx.doi.org/10.1108/rmj-09-2019-0055.

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Purpose This study aims to provide an overview of recent efforts relating to natural language processing (NLP) and machine learning applied to archival processing, particularly appraisal and sensitivity reviews, and propose functional requirements and workflow considerations for transitioning from experimental to operational use of these tools. Design/methodology/approach The paper has four main sections. 1) A short overview of the NLP and machine learning concepts referenced in the paper. 2) A review of the literature reporting on NLP and machine learning applied to archival processes. 3) An overview and commentary on key existing and developing tools that use NLP or machine learning techniques for archives. 4) This review and analysis will inform a discussion of functional requirements and workflow considerations for NLP and machine learning tools for archival processing. Findings Applications for processing e-mail have received the most attention so far, although most initiatives have been experimental or project based. It now seems feasible to branch out to develop more generalized tools for born-digital, unstructured records. Effective NLP and machine learning tools for archival processing should be usable, interoperable, flexible, iterative and configurable. Originality/value Most implementations of NLP for archives have been experimental or project based. The main exception that has moved into production is ePADD, which includes robust NLP features through its named entity recognition module. This paper takes a broader view, assessing the prospects and possible directions for integrating NLP tools and techniques into archival workflows.

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Csillik, Ovidiu, John Cherbini, Robert Johnson, Andy Lyons, and Maggi Kelly. "Identification of Citrus Trees from Unmanned Aerial Vehicle Imagery Using Convolutional Neural Networks." Drones 2, no. 4 (November 20, 2018): 39. http://dx.doi.org/10.3390/drones2040039.

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Remote sensing is important to precision agriculture and the spatial resolution provided by Unmanned Aerial Vehicles (UAVs) is revolutionizing precision agriculture workflows for measurement crop condition and yields over the growing season, for identifying and monitoring weeds and other applications. Monitoring of individual trees for growth, fruit production and pest and disease occurrence remains a high research priority and the delineation of each tree using automated means as an alternative to manual delineation would be useful for long-term farm management. In this paper, we detected citrus and other crop trees from UAV images using a simple convolutional neural network (CNN) algorithm, followed by a classification refinement using superpixels derived from a Simple Linear Iterative Clustering (SLIC) algorithm. The workflow performed well in a relatively complex agricultural environment (multiple targets, multiple size trees and ages, etc.) achieving high accuracy (overall accuracy = 96.24%, Precision (positive predictive value) = 94.59%, Recall (sensitivity) = 97.94%). To our knowledge, this is the first time a CNN has been used with UAV multi-spectral imagery to focus on citrus trees. More of these individual cases are needed to develop standard automated workflows to help agricultural managers better incorporate large volumes of high resolution UAV imagery into agricultural management operations.

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Bellini, Pierfrancesco, Ivan Bruno, Paolo Nesi, and Michela Paolucci. "IPR Centered Institutional Service and Tools for Content and Metadata Management." International Journal of Software Engineering and Knowledge Engineering 25, no. 08 (October 2015): 1237–70. http://dx.doi.org/10.1142/s0218194015500242.

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Multimedia services of cultural institutions need to be supported by content, metadata and workflow management systems to efficiently manage huge amount of content items and metadata production. Online digital libraries and cultural heritage institutions, as well as portals of publishers need an integrated multimedia back office in order to aggregate content collection and provide them to national and international aggregators, with respect to Intellectual Property Rights, IPR. The aim of this paper is to formalize and discuss requirements, modeling, design and validation of an institutional aggregator for metadata and content, coping with IPR Models for conditional access and providing content towards Europeana, the European international aggregator. This paper presents the identification of the Content Aggregator requirements for content management and IPR, and thus the definition and realization of a corresponding distributed architecture and workflow solution satisfying them. The main contributions of this paper consist of the formalization of IPR Model that enable the shortening of the activities for the IPR resolution, and avoid the assignment of conflicting rights/permissions during IPR model formalization, and thus of licensing. The proposed solution, models and tools have been validated in the case of the ECLAP service and results are reported in the paper. ECLAP Content Aggregator has been established by the European Commission to serve Europeana for the thematic area of Performing Arts institutions.

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McMullen, Arthur L., and Steven J. Golko. "A practical workflow for performance prediction of low permeability reservoirs." APPEA Journal 57, no. 2 (2017): 612. http://dx.doi.org/10.1071/aj16047.

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The Society of Petroleum Evaluation Engineers (SPEE) recently released ‘Monograph 4 – estimating ultimate recovery of developed wells in low-permeability reservoirs’ (hereafter called ‘Monograph 4’; SPEE 2016). This paper outlines a practical engineering workflow enabling companies to evaluate unconventional plays developed with horizontal multi-stage fractured wells consistent with the principles summarised in Monograph 4. This workflow has many applications including assessing potential acquisitions, defining new plays, evaluating competitor results, corporate budget processes, long-term business planning, portfolio management and reserves certification. The workflow, developed and refined over several years, has proven effective in large-scale applications. It enables engineers to readily identify and assess flow regimes, estimate the time to boundary dominated flow and estimate the flow patterns of boundary dominated flow for large groups of wells. The workflow also allows the engineer to deal with changing well designs and completion techniques. Throughout the workflow, the geological, engineering and statistical methods described in Monograph 4 are used. This provides the foundation to define and create representative type curves, yielding statistically reliable estimates of expected ultimate recovery (EUR) and production forecasts for asset evaluation with an accompanying characterisation of the confidence of these estimates. A case study demonstrating application of this workflow and a summary of results are presented. Potential sources of error in the technical analysis and application of type curves are identified; the technical and commercial impacts of these errors are highlighted. By allowing the evaluator to focus time and attention on the details of the technical analyses, companies can achieve a quicker, more in-depth analysis of the development of these large-scale unconventional resource projects.

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Grigorovich, Marina S., Aleksandr V. Starikov, Sofya N. Voytko, Larisa A. Koykova, and Natalya Yu Nekrasova. "The experience of workflow optimization of the city polyclinic based on the principles of lean production and IT-based management." Russian Family Doctor 22, no. 4 (December 15, 2018): 19–24. http://dx.doi.org/10.17816/rfd2018419-24.

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The article presents the main principles of lean manufacturing, experience and results of lean production launch in a large city outpatient clinic as part of the Ministry of Health pilot project “Lean outpatient clinic”. In the clinic, redistribution of space, optimization of e-document management and registry workflow were performed. It reduced queueing time and time of blood sampling, simplified arranging a visit to General practitioner and other physicians, increased time of doctor and patient interaction, which allowed to serve much more patients with the same amount of resources, save time of medical staff and patients, and increase their satisfaction.

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Avogadro, Paolo, Silvia Calegari, and Matteo Alessandro Dominoni. "Expert students in social learning management systems." Interactive Technology and Smart Education 13, no. 3 (September 19, 2016): 202–17. http://dx.doi.org/10.1108/itse-06-2016-0018.

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Purpose A social learning management system (social LMS) is a tool which favors social interactions and allows scholastic institutions to supervise and guide the learning process. The inclusion of the social feature to a “normal” LMS leads to the creation of educational social networks (EduSN), where the students interact and learn. The advantages derived from an augmented student-student interaction are counterbalanced by the difficulty to control the quality of the information. For this reason, the purpose of this study is to understand who is a source of reliable and high quality knowledge among the students. Design/methodology/approach The authors suggest to categorize the actions of the students within roles where the most natural formal role regards the academic performance of a student. Within the EduSN, a student can produce information − social contribution role − and evaluate the contents provided by other peers − social judge role. Aside from the free production, it provides a publication workflow which allows to certify and improve the quality of the material created by the peers. The publication workflow naturally leads to the definition of two additional roles – the editorial and leader roles. Findings The paper provides a new definition of expertise within a social LMS, where the key feature of an expert in an EduSN is to improve the quality and quantity of the knowledge flow in the network. The indicators which stem from the roles naturally lead to the definition of the figure of the anti-expert. Originality/value At variance with the spectrum of values usually associated with expertise (which ranges from novice to expert), in a social LMS, it becomes clear the need of the definition of a new figure – the anti-expert, who has a negative impact on the overall knowledge flow of the EduSN.

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Dichter, Heather L. "Corporate Consolidation and Content-Management Systems in College Athletics Web Sites: A Case Study of MGoBlue.com." International Journal of Sport Communication 7, no. 2 (June 2014): 234–44. http://dx.doi.org/10.1123/ijsc.2013-0136.

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This historical case study addresses the issues related to the use of content-management systems (CMSs) in the production of a college athletic department Web site. The article considers the factors that influenced a university athletic department to adopt a CMS. Corporate consolidation among CMS providers frequently affected the options available to athletic departments. Using an in-depth interview with the primary individual behind the University of Michigan’s athletic department Web site, MGoBlue.com, this article also explores how the explosion of Web-site content and adoption of a CMS has transformed the workflow in athletic media relations.

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Journal articles on the topic 'Workflow Production management'

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