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Journal articles on the topic 'Simulation Process Management'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Gayialis, S. P., G. A. Papadopoulos, S. T. Ponis, P. Vassilakopoulou, and I. P. Tatsiopoulos. "Integrating Process Modeling and Simulation with Benchmarking using a Business Process Management System for Local Government." International Journal of Computer Theory and Engineering 8, no. 6 (December 2016): 482–89. http://dx.doi.org/10.7763/ijcte.2016.v8.1093.

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2

Tomaskova, Hana, Martin Kopecky, and Petra Maresova. "Process Cost Management of Alzheimer’s Disease." Processes 7, no. 9 (September 2, 2019): 582. http://dx.doi.org/10.3390/pr7090582.

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Summary: Determining the cost of healthcare and social care for patients is a crucial issue for many parties; therefore, both public and private payments play a decisive role in patient care. The article deals with the analysis of the possibilities of the simulation of costs related to Alzheimer’s disease. This disease is highly variable, and the cost items vary considerably. Therefore, it is necessary to use simulation methods. The results of simulation models can then be implemented in sophisticated methods working with activity costs. Findings: Models for health and social care are specific. No significant re-engineering is expected in this area, so the models must be unambiguous and easy to understand for all representatives involved. Modeling of business processes is thus a suitable means for analysis in this area. The process cost calculation is built on two simulation models. The first model is the Business Process Model and Notation (BPMN), the results of which are verified in the system dynamics model created in the stock and flow diagram. The simulations results give us appropriate values for calculating the total activity-based costs of AD. Applications: The practical part of this article deals with the identification of costs related to Alzheimer’s disease and their allocation concerning remedies. Based on this information, models for Alzheimer’s disease process cost management are developed. Results: The BPMN simulation was performed for 100 passes through a fixed-length phase process. The duration of each phase was set at 48, 108, and 40 months. Five simulations were set up, each Mini-Mental State Examination (MMSE) score set, which affected the passage through the process. Software Stella Professional was used for simulations for constant MMSE score values for the home and facility options. The values are as follows: MMSE 5 = 1331 . 26 ( 1627 . 72 ); MMSE 15 = 1202 . 72 ( 1102 . 02 ); MMSE 25 = 1051 . 24 ( 848 . 91 ). Conclusions: Both AD models created in this article produce comparable results, although each of them works on a different principle. The results are based on the selection of original data, and at the same time, these models point to the processes and subprocesses that lead to the costs. The description, specifications, and possible values of partial costs are crucial knowledge for persons in the management functions of public administration and self-government in the area of finance and management not in the field of specific diseases.

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3

Jain, S., and R. R. Creasey. "Simulation standard for business process management." IEEE Engineering Management Review 43, no. 3 (2015): 80–88. http://dx.doi.org/10.1109/emr.2015.7433292.

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4

Rus, Ioana, James Collofello, and Peter Lakey. "Software process simulation for reliability management." Journal of Systems and Software 46, no. 2-3 (April 1999): 173–82. http://dx.doi.org/10.1016/s0164-1212(99)00010-2.

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5

Elliman, Tony, Tally Hatzakis, and Alan Serrano. "Business Process Simulation." International Journal of Enterprise Information Systems 2, no. 3 (July 2006): 43–58. http://dx.doi.org/10.4018/jeis.2006070104.

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6

Bowles, David E., and Lorraine R. Gardiner. "Supporting process improvements with process mapping and system dynamics." International Journal of Productivity and Performance Management 67, no. 8 (November 12, 2018): 1255–70. http://dx.doi.org/10.1108/ijppm-03-2017-0067.

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Purpose The purpose of this paper is to study the effectiveness of combining process mapping and system dynamics (SD) in an organization’s ongoing business process improvement projects. Design/methodology/approach Norfield Industries, designer and manufacturer of prehung door machinery, used process mapping and SD in a project targeting the improvement of its design document control process. The project team first used process mapping to document its current process and identify potential improvements. The team then developed an SD model to investigate the potential impacts of proposed process changes. Findings The case study supports the communication and transparency benefits of process mapping reported in earlier studies. Consistent with other case studies using simulation, SD provided useful insights into possible results of proposed process changes. Research limitations/implications The findings have limitations with respect to generalizability consistent with the use of a case study methodology. Practical implications Organizational managers desiring to include simulation modeling in process improvement efforts have a choice between discrete event simulation and SD. SD may prove able to consume less organizational resources than discrete-event simulation and provide similar benefits related to reducing the risks associated with process changes. Originality/value The current case study adds to the existing literature documenting the use of process mapping combined with simulation modeling in process improvement efforts. The case study supports existing literature regarding the value of process mapping in making system processes more transparent. The results also support previous findings regarding the value of SD for simulating the possible results associated with scenarios under consideration for process improvements.

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Nascimento, João, Paulo Resende da Silva, and João Samartinho. "Project Management Simulation Portal." International Journal of Web Portals 5, no. 4 (October 2013): 20–32. http://dx.doi.org/10.4018/ijwp.2013100102.

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Simulation, in the context of Project Management teaching / learning process, has been described as an effective way to achieve better outcomes. There are already some tools developed to simulate the management of technical work. Still, project management is much more than dealing with technical tasks. The system developed aims to sustain the process of teaching / learning the subject of project management in a broad range. When compared with other work in the field, there are two aspects that stand out from the product described in this paper: (1) the use of the Web to enhance the interaction between the agents involved in the teaching / learning process, and (2) the variety of skills considered in the system. More than focusing on a small set of processes dealing with technical work management, the solution presented here involves nearly the full project management life cycle. This paper proposes a simulation system for Project Management, based on the Web environment (Project Management Virtual Environment). It also presents the process of the system's construction and describes its features.

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8

Ding, Yan, Keh-Chia Yeh, and Shao-Tang Wei. "INTEGRATED COASTAL PROCESS MODELING AND IMPACT ASSESSMENT OF FLOATING AND SEDIMENTATION IN COASTS AND ESTUARIES." Coastal Engineering Proceedings, no. 35 (June 23, 2017): 18. http://dx.doi.org/10.9753/icce.v35.management.18.

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In this study, an integrated coastal process model was applied to assess impact of coastal flooding and sedimentation in an estuary in Taiwan and to evaluate performance of proposed engineering plans for flood prevention and sedimentation management. This in-situ validated model was used to simulate and predict hydrodynamic processes and morphological changes induced by multiple hydrological forcing such as river flood flows, waves, tides, and storms surges from rivers to the estuary and its adjacent coasts. Simulation results quantified coastal flooding risks, erosions, sedimentation, and channel refilling. Predicted dynamic responses to typhoons and monsoons were utilized for identifying the most effective engineering plan to reshape the geometry of the estuary. After the selected engineering plan was accomplished, this model was applied again to further predict morphological changes in the newly-developed estuary. This paper demonstrates effectiveness of a simulation-based coastal and estuary planning approach to manage flood and sedimentation driven by complex physical processes from river flows, waves, tides, and sediment transport.

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9

Barber, K. D., F. W. Dewhurst, R. L. D. H. Burns, and J. B. B. Rogers. "Business‐process modelling and simulation for manufacturing management." Business Process Management Journal 9, no. 4 (August 2003): 527–42. http://dx.doi.org/10.1108/14637150310484544.

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10

Wadsley, Michael. "Understanding management of computational process modeling and simulation." JOM 56, no. 12 (December 2004): 33–36. http://dx.doi.org/10.1007/s11837-004-0232-1.

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11

Kokareva, Victoria V., Andrey N. Malyhin, and V. G. Smelov. "Production Processes Management by Simulation in Tecnomatix Plant Simulation." Applied Mechanics and Materials 756 (April 2015): 604–9. http://dx.doi.org/10.4028/www.scientific.net/amm.756.604.

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This paper describes the process of simulation and modeling in the context of production engineering. In order to organize the smart and lean manufacturing, moreover flexible and efficient production processes we should use the digital manufacturing solution such as Tecnomatix Plant Simulation by optimizing and validating process performance, eliminating inefficiencies, shortening set up times and increasing quality before production. Manufacturing process management is an essential part of any PLM strategy. It enables you to connect your product design activities to your manufacturing planning activities.

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12

Sarvepalli, Ashwini, and Joy Godin. "Business Process Management in the Classroom." Journal of Cases on Information Technology 19, no. 2 (April 2017): 17–28. http://dx.doi.org/10.4018/jcit.2017040102.

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Organizations are increasingly adopting Business Process Management (BPM) approaches growing the need for BPM expertise in the industry (Bandara et al., 2010). This has resulted in growing demand for college graduates who have a thorough knowledge of business processes (Lee, 2008). Hadidi (2014) pointed out that development of courses and programs in BPM area has received huge consideration in academia during recent times. This paper presents a classroom activities for teaching Business Process Management using a paper-based simulation game conducted as part of an undergraduate IS course. The paper discusses various class activities involved such as execution of the simulation game, creation of graphical representations of processes followed in the game, and creation of Business Process models using Microsoft Visio software. A post-test survey was conducted to evaluate the understanding of BPM concepts learned and analyze the effectiveness of the simulation game. The paper concludes with recommendations for future research.

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13

Halaška, Michal, and Roman Šperka. "Is there a Need for Agent-based Modelling and Simulation in Business Process Management?" Organizacija 51, no. 4 (December 1, 2018): 255–69. http://dx.doi.org/10.2478/orga-2018-0019.

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AbstractBackground and Purpose: Agent-based modelling and simulation (ABS) is growing in many areas like, e.g., management, social and computer sciences. However, the similar trend does not seem to occur within the field of business process management (BPM), even though simulation approaches like discrete event simulation or system dynamics are well established and widely used. Thus, in our paper we investigate the advantages and disadvantages of agent-based modelling and simulation in the field of BPM in simulation experiments.Design/Methodology/Approach: In our research, we investigate if there is a necessity for ABS in the field of BPM with our own simulation experiments to compare traditional and ABS models. For this purpose, we use simulation framework MAREA, which is a simulation environment with integrated ERP system. Our model is a complex system of a trading company selling computer cables. For the verification of our model, we use automated process discovery techniques.Results: In our simulations, we investigated the impact of changes in resources’ behavior on the outcome of company’s order to cash process (O2C). Simulations experiments demonstrated that even small changes might have statistically significant effect on outcomes of the processes and decisions based on such outcomes. Simulation experiments also demonstrated that the impact of randomly distributed fluctuations of well-being have a diminishing tendency with the increasing number of sales representatives involved in the process.Conclusions: Our research revealed several advantages and disadvantages of using ABS in business process modelling. However, as we show, many of them were at least partially addressed in the recent years. Thus, we believe that ABS will get more attention in the field of BPM similarly to other fields like, e.g., social sciences. We suggested areas in BPM simulations, e.g., modelling of resources, be it human or technological resources, where there is a need for ABS.

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14

Wang, Hai Wei, Geng Liu, and Zhan Duo Yang. "Business-Task Coupled Process Management for Complex Product Simulation." Applied Mechanics and Materials 394 (September 2013): 531–35. http://dx.doi.org/10.4028/www.scientific.net/amm.394.531.

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Business process and professional simulation process are closely relative and alternate together for complex product simulation. This paper presents a business-task coupled process management method, which can implement integration management of business process and professional simulation process. Business-task coupled process is controlled by a multilayer workflow engine based on workflow technology. When the business process executes a task activity, the responding task process will be driven. The workflow engine controls every simulation activity in the task process. A simulation activity invokes one specified simulation tool and transfers data through a simulation component. The application result shows the validity of the method.

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15

Sayogo, Shandhi, Hafif Aziz Ahmad, and Dianing Ratri. "Translating Crew Management Process Into a Simulation Video Game." IMOVICCON Conference Proceeding 1, no. 1 (July 3, 2019): 189–98. http://dx.doi.org/10.37312/imoviccon.v1i1.22.

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Management came from an old French word ménagement, which means “the art of implementation and regulation”. It is a process of planning, organizing, coordinating, and controlling resources to achieve goals effectively and efficiently, a process which could be found in everyday’s activities. But, every resource management revolves around one particular resource, which is human. The only reason is because humans are the one that can change and improve resources like energy, money, and time into something more valuable. The problem is sometimes humans forget that management is necessary in everyday’s life, even for the smallest thing. Therefore, a research is conducted to create a supporting media to help people learn the value and the importance of management. The media chosen is video game as it is considered as a media that can be used to simulate management process more effectively with its interactivities and fun aspect. The parable that being used is crew management as a representative of human resource to manage all the other resources. Crew allocation, timing management and anything else that could be considered as a good crew management process is to be translated into the simulation video game. Thus, it becomes a media with a more fun way to learn about management without the players being explicitly told that they are learning by playing.

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16

Lima, Josiane Palma, Kelly Carla Dias Lobato, Fabiano Leal, and Renato da Silva Lima. "URBAN SOLID WASTE MANAGEMENT BY PROCESS MAPPING AND SIMULATION." Pesquisa Operacional 35, no. 1 (April 2015): 143–63. http://dx.doi.org/10.1590/0101-7438.2015.035.01.0143.

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17

Hill, Raymond R. "Process Simulation in Excel for a Quantitative Management Course." INFORMS Transactions on Education 2, no. 3 (May 2002): 75–84. http://dx.doi.org/10.1287/ited.2.3.75.

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18

Joo Hak Kim and Cho sunmi. "Sports Event Management Process Optimization Using Discrete Event Simulation." Korean Journal of Measurement and Evaluation in Physical Education and Sports Science 19, no. 4 (December 2017): 1–13. http://dx.doi.org/10.21797/ksme.2017.19.4.001.

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19

Greasley, Andrew. "Using business‐process simulation within a business‐process reengineering approach." Business Process Management Journal 9, no. 4 (August 2003): 408–20. http://dx.doi.org/10.1108/14637150310484481.

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20

Helquist, Joel H., Jordan J. Cox, and Alyssa Walker. "Exploring diverse process and team alternatives through virtual process simulation." Business Process Management Journal 15, no. 5 (September 11, 2009): 633–52. http://dx.doi.org/10.1108/14637150910987883.

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21

Engelhardt, Nils. "COMPARISON OF AGILE AND TRADITIONAL PROJECT MANAGEMENT: SIMULATION OF PROCESS MODELS." Acta academica karviniensia 19, no. 2 (July 1, 2019): 15–27. http://dx.doi.org/10.25142/aak.2019.011.

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22

North-Samardzic, Andrea, and Marlize de Witt. "Designing a Human Resource Management Simulation to Engage Students." Journal of Management Education 43, no. 4 (April 5, 2019): 359–95. http://dx.doi.org/10.1177/1052562919841411.

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Management educators employ a variety of learning and teaching tools in order to engage students, with online business simulations being one of these tools. While many business simulations are available to management educators, they do not always fit the needs of the educator or have evidence to support their efficacy for achieving student outcomes such as engagement. In this article, we illustrate how a human resource management (HRM) simulation was designed, developed, and tested using design science principles to show how student engagement can be achieved with such digital tools. The findings of the testing process show that the type of Learning Management System used is less important than the novelty and perceived authenticity of the tasks. This article offers practical suggestions to create and test similar online-simulated environments using the design science process, as well as guidelines for those who wish to use the HRM simulation that was developed by the authors for this project.

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23

Han, Bing, Geng Liu, and Hai Wei Wang. "Performance Simulation Model in Product Life-Cycle Management." Applied Mechanics and Materials 201-202 (October 2012): 1046–50. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.1046.

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Automobile, aerospace, and other industrial sectors have evolved over years on product life-cycle management (PLM) systems. Product design and simulation have been long used to support their enterprise-wide engineering activities. This paper describes, in detail, a case study and solution of a simulation process management project called performance simulation model (PSM) .We focus on several research issues, including integration of design process and simulation process, simulation data management, simulation flow management, and the architecture of PSM. A prototype for PSM that allows a unification of design process and simulation process by PDM’s engineering Bill of Material (EBOM) is presented. The prototype has been used successfully for static analysis of transmission system.

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NIWA, Takashi, Tsuyoshi KOGA, and Kazuhiro AOYAMA. "3212 Process Modeling and Simulation Environment for Continuous Design Process Management : A Challenge to Realize Repeated Modeling and Simulation of Design Process." Proceedings of Design & Systems Conference 2008.18 (2008): 500–505. http://dx.doi.org/10.1299/jsmedsd.2008.18.500.

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Jalali, Amin, Chun Ouyang, Petia Wohed, and Paul Johannesson. "Supporting aspect orientation in business process management." Software & Systems Modeling 16, no. 3 (September 24, 2015): 903–25. http://dx.doi.org/10.1007/s10270-015-0496-7.

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Jones, Mary C., R. Leon Price, and Marie Adele Hughes-Prater. "Improving the simulation model development process." Behavioral Science 39, no. 4 (1994): 269–84. http://dx.doi.org/10.1002/bs.3830390403.

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27

Špaček, Miroslav, Petr Půlpán, and Zdeněk Kopecký. "Management of business processes using stochastic simulation." SHS Web of Conferences 83 (2020): 01066. http://dx.doi.org/10.1051/shsconf/20208301066.

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The paper deals with risks and uncertainties that are related to business processes. The risks and uncertainties (risk factors) can significantly influence organizational performance, value creation and long term-sustainability. Managers are often puzzled with making decisions in the environment of breakthrough discontinuities. The main outcome of the paper is the presentation of purposefully developed software tool that uses stochastic simulation of risks and uncertainties of business processes to support making optimum managerial decisions. This software is able to simulate any process risk factors that are describable by a mathematical model. The model was tested on the examples of production and investment cases. The research applied Business Process Modelling Notation Approach (BPMN) as well as mathematical and stochastic modelling. In addition, contextual interviews with company managers and risk specialists were used to get unbiased, reliable, and professional information on determination and analysis of process risk factors. The research was also supported by the evidence provided by the case study that illustrates software based decision-making process relating to opting for technology variant.

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Beneventi, Davide, Elisa Zeno, Patrice Nortier, Bruno Carré, and Gilles Dorris. "Optimization and Management of Flotation Deinking Banks by Process Simulation." Industrial & Engineering Chemistry Research 48, no. 8 (April 15, 2009): 3964–72. http://dx.doi.org/10.1021/ie801753j.

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29

Uzzafer, Masood. "A simulation model for strategic management process of software projects." Journal of Systems and Software 86, no. 1 (January 2013): 21–37. http://dx.doi.org/10.1016/j.jss.2012.06.042.

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30

Pecek, Bojan, and Andrej Kovacic. "Business Process Management: Use of Simulation in the Public Sector." Economic Research-Ekonomska Istraživanja 24, no. 1 (January 2011): 95–106. http://dx.doi.org/10.1080/1331677x.2011.11517447.

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31

Doloi, Hemanta. "Benchmarking a new design management system using process simulation approach." Construction Innovation 10, no. 1 (January 19, 2010): 42–59. http://dx.doi.org/10.1108/14714171011017563.

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32

Gudelj, M., M. Delic, B. Kuzmanovic, Z. Tesic, and N. Tasic. "Business Process Management Model as an Approach to Process Orientation." International Journal of Simulation Modelling 20, no. 2 (June 15, 2021): 255–66. http://dx.doi.org/10.2507/ijsimm20-2-554.

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33

Greasley, A. "Simulation modelling in manufacturing process design." Engineering Management Journal 9, no. 4 (1999): 187. http://dx.doi.org/10.1049/em:19990405.

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34

Harding, J. A., and K. Popplewell. "Simulation: An Application of Factory Design Process Methodology." Journal of the Operational Research Society 51, no. 4 (April 2000): 440. http://dx.doi.org/10.2307/254171.

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35

Krynke, Marek. "Manufacturing Capacity Management By Using Modern Simulation Tools." System Safety: Human - Technical Facility - Environment 3, no. 1 (May 1, 2021): 129–38. http://dx.doi.org/10.2478/czoto-2021-0014.

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Abstract Determining the parameters of the production system as well as the choice of the type of manufactured elements flow shall appoint the level of effectiveness of the manufacturing process. The article presents an example of implementation the simulation verification process of the production flow, taking into account system constraints. The basic stages of developing a simulation model in this process are discussed, taking into account the necessary information and input data. The results show the impact of the application selected flow scenarios on the level of generated costs and the duration of the manufacturing process. The process of assessing individual variants of the organization production was performed on the basis of the results obtained by computer simulation in the FlexSim simulation software.

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Lou, Di Ming, Qiang Qiang, Yan Juan Zhu, and Yu Biao Du. "The Digital Engine Simulation Management Platform Based on MSC.SimManager." Advanced Materials Research 308-310 (August 2011): 2436–41. http://dx.doi.org/10.4028/www.scientific.net/amr.308-310.2436.

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To solve the problems of engine simulation process faced, the framework of simulation management platform of digital engine based on MSC.SimManager was put forward. The characteristics and functions of simulation management software named SimManager were mentioned. The portal design process and function and management objects of this platform were discussed, which included rights management, project management, simulation of process management, data management, and so on. The result of this study would be provided for the further application of the simulation platform.

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Schausberger, Paul, and Anton Friedl. "ENVIRONMENTAL ENGINEERING SUPPORTED BY PROCESS SIMULATION." Environmental Engineering and Management Journal 3, no. 3 (2004): 457–64. http://dx.doi.org/10.30638/eemj.2004.042.

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Malinowski, P., J. S. Suchy, and J. Jakubski. "dTechnological Knowledge Management System for Foundry Industry." Archives of Metallurgy and Materials 58, no. 3 (September 1, 2013): 965–68. http://dx.doi.org/10.2478/amm-2013-0111.

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Abstract Technological knowledge is a collection of information from each stage of the casting production preparation process along with production data and quality control data. Knowledge and experience are the most important factors for the dynamic development of each foundry. Efficient archiving and management of technological knowledge, including computer simulations, is a critical part of building competitive advantage. Analysis of historical data allows for drawing the right conclusions, and guarantees improved quality of the final product. Effective enterprise management system, and technological knowledge management system in particular, is an indispensable tool for any innovative foundry. Simulation Process & Data Management is a new, dynamically-developing scientific field. Also in the foundry industry it is a very important step towards the management of casting simulation results.

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Fang, W. Y., and K. K. Lo. "A Generalized Well Management Scheme for Reservoir Simulation." SPE Reservoir Engineering 11, no. 02 (May 1, 1996): 116–20. http://dx.doi.org/10.2118/29124-pa.

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40

Ahmed, Mushfiqul, Ferdous Irtiaz Khan, and S. M. Ishraqul Huq. "BESS Assisted Frequency Management for Black Start Process of Microgrid." European Journal of Electrical Engineering and Computer Science 5, no. 3 (May 17, 2021): 35–40. http://dx.doi.org/10.24018/ejece.2021.5.3.324.

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This paper proposes a method for restoring the nominal frequency and improving the system recovery time using battery energy storage system (BESS) for an islanded microgrid (MG) which is operated by a black start unit (BSU). The frequency stability is controlled by varying the apparent power (MVA) rating of the BESS after simultaneously connecting with the BSU during the post fault scenarios. Simulations are performed on the IEEE Std. 399-1997 test MG using DIgSILENT PowerFactory. Results show that the nominal frequency of the system can be retained by connecting the BESS during the transient period and increasing the MVA rating up to a maximum value. Simulation results also show that with a higher distributed connection of the BESS units over the system, the frequency recovery time can be reduced.

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Doomun, Razvi, and Nevin Vunka Jungum. "Business process modelling, simulation and reengineering: call centres." Business Process Management Journal 14, no. 6 (November 7, 2008): 838–48. http://dx.doi.org/10.1108/14637150810916017.

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Hong, Heedong, and Hyunsoo Lee. "Executable Closed-Loop Simulation Lifecycle Management Framework Incorporating Fault Detection Classification and Discrete Process Simulation." Indian Journal of Science and Technology 8, S8 (April 1, 2015): 89. http://dx.doi.org/10.17485/ijst/2015/v8is8/64219.

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43

Renna, Paolo, and Carmen Izzo. "Using business process management simulation to support continuous improvements in higher education management system." International Journal of Management in Education 12, no. 4 (2018): 315. http://dx.doi.org/10.1504/ijmie.2018.095127.

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Renna, Paolo, and Carmen Izzo. "Using business process management simulation to support continuous improvements in higher education management system." International Journal of Management in Education 12, no. 4 (2018): 315. http://dx.doi.org/10.1504/ijmie.2018.10013407.

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45

Hirsch, B., X. Sheng, and H. Müller. "Realistische Simulation mehrachsiger NC-Bearbeitungsvorgänge / Realistic simulation of multi-axis NC machining process." Zeitschrift für wirtschaftlichen Fabrikbetrieb 85, no. 10 (October 1, 1990): 541–45. http://dx.doi.org/10.1515/zwf-1990-851013.

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46

Thornton, A. C. "Variation Risk Management Using Modeling and Simulation." Journal of Mechanical Design 121, no. 2 (June 1, 1999): 297–304. http://dx.doi.org/10.1115/1.2829457.

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Design and manufacturing firms are under significant pressure to simultaneously increase product complexity, reduce design cycles, decrease cost, and improve quality. A key enabler to reduce cost without sacrificing quality is the control of variation during both design and manufacturing. The best time to reduce the impact of variation is in the early stages of design. This paper presents a tool set used to identify, early in the design process, where variation will have significant impact on the final cost and quality of a product. It presents the design team with a graphical view of variation risk, enabling them to quickly identify high-risk areas. The uncertainty about process capability and risk is also quantified and presented to the user.

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Sanchez-Segura, Maria-Isabel, German-Lenin Dugarte-Peña, Fuensanta Medina-Dominguez, and Cynthya García de Jesús. "System dynamics and agent-based modelling to represent intangible process assets characterization." Kybernetes 47, no. 2 (February 5, 2018): 289–306. http://dx.doi.org/10.1108/k-03-2017-0102.

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Purpose This paper aims to address the use of modelling and simulation tools to enhance intangible process assets management by simulating and automating their characterization depending on their quality and impact on an organizational business goal. Design/methodology/approach The authors conducted a study comparing two simulation-based approaches to characterize intangible assets: system dynamics and agent-based simulation. Findings Strategic business studies have not yet considered the use of simulation techniques to characterize the intangible assets at length. The proposed solution introduces significant improvements for strategic data visualization, providing company stakeholders with a practical and helpful prism through which to view an easily adaptable, cheap and meaningful source of information about their company’s process assets, and their behaviour based on operation indicators. Practical implications This research offers decision-makers in knowledge-intensive organizations alternatives for effective strategic decision-making and for leveraging prospective views based on the specification of the organization’s knowledge. To do this, stakeholders will be able to use very promising low-cost simulation-based tools to create practical scenarios and potential situations that generate inputs for debate and decision-making by senior and middle management. Originality/value This paper reports an unprecedented comparative study of system dynamics and agent-based simulation to speed-up the characterization of the intangible process assets based on their quality and impact on strategic goals. It stresses the benefits and implications of the use of these techniques for better strategic management.

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Chen, Le, Hong Min Yu, Tao Jia, and Chao Ye. "Equipment Command Simulation Based on Workflow." Advanced Materials Research 532-533 (June 2012): 620–23. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.620.

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Based on the introduction of workflow management software, this paper analyzed the feasibility for simulating Equipment Command Office (ECO) operations with workflow product-LiveFlow. It demonstrated the simulation process and simulation object model (SOM) of ECO explicitly. Consequently, the ECO federate was designed using LiveFlow within HLA infrastructure. The “Human-in-Loop” simulation was realized by invoking the business process object (BPO) library of LiveFlow. This research is significant to the deployment, training and working-efficiency evaluation of ECO staffs. It’s also the foundation of business process reengineering (BPR) of ECO.

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Leyer, Michael, and Maximilian Hollmann. "Introduction of electronic documents: how business process simulation can help." Business Process Management Journal 20, no. 6 (October 28, 2014): 950–70. http://dx.doi.org/10.1108/bpmj-05-2013-0062.

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Purpose – Many companies still use paper documents within their service processes, which is supposed to be inefficient, and a digitalisation of documents is a promising alternative. However, such a change is expensive and the process typically has to be adapted. Thus, the purpose of this paper is to show how business process simulation (BPS) can be used to forecast the effects of the introduction of electronic documents. Design/methodology/approach – This paper presents a case study of a German bank, and shows how BPS can be used to evaluate the introduction of electronic documents in financial service processes. Findings – The case study shows how BPS can be applied to evaluate the implications of introducing IT systems using the example of e-files. The results reveal that not only cycle time, but also costs and administrative workload, can be reduced, while the number of processed orders increases. Practical implications – On the one hand the data generated in the simulation results can form the basis for feasibility studies regarding IT investments, e.g. for the migration of historical data from the old document management system system. On the other hand, further actions can be deduced for sales staff and other processes, which can use employees’ additional free time. Originality/value – Real case examples are rare, as many companies do not apply simulations. This paper is the first to analyse the impact of introducing electronic documents in service processes using BPS. The paper provides an approach how to conceptualise such settings.

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Deng, Xian Ling, Kang Cheng, and Bai Shu Sun. "Management and Optimization of Road Design Process Based on Multi Agent Simulation." Advanced Materials Research 926-930 (May 2014): 3842–45. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3842.

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Aiming at the urgent requirement and characteristics of the road design process, this paper presents multi agent simulation approach to manage and optimize road design process effectively. Tasks decompose and management model for road design process based on multi agent were studied firstly. Road design process modeling and simulation based on multi agent were realized next. By the simulation, further optimization analysis to improve the road design process was carried out by rearranging tasks flow and organization structure. A real road design process was simulated, and the results showed the simulation evaluation indexes could effectively reflect the process performance.

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