100+ datasets found
  1. Simantha: Simulation for Manufacturing

    • catalog.data.gov
    • data.nist.gov
    Updated Jul 29, 2022
    + more versions
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    National Institute of Standards and Technology (2022). Simantha: Simulation for Manufacturing [Dataset]. https://catalog.data.gov/dataset/simantha-simulation-for-manufacturing
    Explore at:
    Dataset updated
    Jul 29, 2022
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production lines with finite buffers. It also provides functionality for modeling the degradation and maintenance of machines in these systems. Classes for five basic manufacturing objects are included: source, machine, buffer, sink, and maintainer. These objects can be defined by the user and configured in different ways to model various real-world manufacturing systems. The object classes are also designed to be extensible so that they can be used to model more complex processes.In addition to modeling the behavior of existing systems, Simantha is also intended for use with simulation-based optimization and planning applications. For instance, users may be interested in evaluating alternative maintenance policies for a particular system. Estimating the expected system performance under each candidate policy will require a large number of simulation replications when the system is subject to a high degree of stochasticity. Simantha therefore supports parallel simulation replications to make this procedure more efficient.Github repository: https://github.com/usnistgov/simantha

  2. T

    China Manufacturing Production

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 14, 2025
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    TRADING ECONOMICS (2025). China Manufacturing Production [Dataset]. https://tradingeconomics.com/china/manufacturing-production
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 14, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 30, 2013 - Jun 30, 2025
    Area covered
    China
    Description

    Manufacturing Production in China increased 7.40 percent in June of 2025 over the same month in the previous year. This dataset provides - China Manufacturing Production- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  3. F

    Manufacturers Inventories

    • fred.stlouisfed.org
    json
    Updated May 15, 2025
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    (2025). Manufacturers Inventories [Dataset]. https://fred.stlouisfed.org/series/MNFCTRIMNSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Manufacturers Inventories (MNFCTRIMNSA) from Jan 1992 to Mar 2025 about inventories, manufacturing, and USA.

  4. F

    Manufacturing Sector: Output per Worker for All Workers

    • fred.stlouisfed.org
    json
    Updated Jun 5, 2025
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    (2025). Manufacturing Sector: Output per Worker for All Workers [Dataset]. https://fred.stlouisfed.org/series/PRS30006162
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    jsonAvailable download formats
    Dataset updated
    Jun 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Manufacturing Sector: Output per Worker for All Workers (PRS30006162) from Q2 1987 to Q1 2025 about productivity, output, sector, per capita, manufacturing, real, rate, and USA.

  5. MANUFACTURING PROJECTS APPROVED BY STATE - Dataset - MAMPU

    • archive.data.gov.my
    Updated Sep 27, 2021
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    (2021). MANUFACTURING PROJECTS APPROVED BY STATE - Dataset - MAMPU [Dataset]. https://archive.data.gov.my/data/dataset/manufacturing-projects-approved-by-state
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    Dataset updated
    Sep 27, 2021
    Dataset provided by
    Data.govhttps://data.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset shows the projects that have been approved manufacturing license and/or incentives based on factory location.

  6. i

    Cloud Manufacturing System Data

    • ieee-dataport.org
    • explore.openaire.eu
    Updated May 18, 2022
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    Zhongjie Wang (2022). Cloud Manufacturing System Data [Dataset]. https://ieee-dataport.org/documents/cloud-manufacturing-system-data
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    Dataset updated
    May 18, 2022
    Authors
    Zhongjie Wang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    energy

  7. d

    Number of manufacturing establishments - by county and detailed industry

    • data.gov.tw
    xml
    Updated Jun 1, 2025
    + more versions
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    Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C. (2025). Number of manufacturing establishments - by county and detailed industry [Dataset]. https://data.gov.tw/en/datasets/122308
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    xmlAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    The number of manufacturing units in the 2016 Industrial and Service Census, by county and detailed industry category.

  8. Cybersecurity Framework Manufacturing Profile Low Security Level Example...

    • catalog.data.gov
    • data.nist.gov
    Updated Jul 29, 2022
    + more versions
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    National Institute of Standards and Technology (2022). Cybersecurity Framework Manufacturing Profile Low Security Level Example Implementations for Process-based Manufacturing System Datasets [Dataset]. https://catalog.data.gov/dataset/cybersecurity-framework-manufacturing-profile-low-security-level-example-implementations-f-5d921
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    Dataset updated
    Jul 29, 2022
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    The Cybersecurity Framework Manufacturing Profile Low Security Level Example Implementations Guide provides example proof-of-concept solutions demonstrating how open-source and commercial off-the-shelf (COTS) products that are currently available today can be implemented in manufacturing environments to satisfy the requirements in the Cybersecurity Framework (CSF) Manufacturing Profile [8] Low Security Level. Example proof-of-concept solutions for a process-based manufacturing environment and a discrete-based manufacturing environment are included in the guide. Depending on factors like size, sophistication, risk tolerance, and threat landscape, manufacturers should make their own determinations about the breadth of the proof-of-concept solutions they may voluntarily implement. The dataset records the Key Performance Indicator (KPI) for the example implementation of the process-based manufacturing system use case.

  9. T

    Euro Area Manufacturing Production

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). Euro Area Manufacturing Production [Dataset]. https://tradingeconomics.com/euro-area/manufacturing-production
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1992 - May 31, 2025
    Area covered
    Euro Area
    Description

    Manufacturing Production In the Euro Area increased 3.80 percent in May of 2025 over the same month in the previous year. This dataset provides - Euro Area Manufacturing Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  10. F

    Manufacturing Sector: Labor Productivity (Output per Hour) for All Workers

    • fred.stlouisfed.org
    json
    Updated Jun 5, 2025
    + more versions
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    (2025). Manufacturing Sector: Labor Productivity (Output per Hour) for All Workers [Dataset]. https://fred.stlouisfed.org/series/PRS30006091
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Manufacturing Sector: Labor Productivity (Output per Hour) for All Workers (PRS30006091) from Q1 1988 to Q1 2025 about per hour, productivity, output, sector, manufacturing, real, persons, rate, and USA.

  11. Additive Manufacturing Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    Updated Mar 15, 2025
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    Technavio (2025). Additive Manufacturing Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Spain, UK), APAC (China, India, Japan), South America (Brazil), and Middle East and Africa [Dataset]. https://www.technavio.com/report/additive-manufacturing-market-industry-analysis
    Explore at:
    Dataset updated
    Mar 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Canada, United States, Global
    Description

    Snapshot img

    Additive Manufacturing Market Size 2025-2029

    The additive manufacturing market size is forecast to increase by USD 46.76 billion at a CAGR of 23.9% between 2024 and 2029.

    The market is experiencing significant growth, driven primarily by the high demand in the medical device sector for customized and complex components. This trend is further fueled by increasing consumer interest in personalized, 3D-printed products across various industries. However, the market growth is not without challenges. The high initial cost of setting up additive manufacturing facilities remains a significant barrier for entry, limiting the number of players and potentially hindering market penetration. Moreover, the technology's limited material options and the need for specialized expertise pose additional challenges.
    To capitalize on the market opportunities and navigate these challenges effectively, companies must focus on collaborations, strategic partnerships, and continuous innovation to reduce costs, expand material offerings, and improve production efficiency. By staying abreast of the latest industry developments and trends, businesses can position themselves to succeed in this dynamic and evolving market.
    

    What will be the Size of the Additive Manufacturing Market during the forecast period?

    Request Free Sample

    The market continues to experience significant growth and innovation, driven by the increasing adoption of industrial 3d printing technologies in various industries. The market's size is projected to expand at a robust rate, with the automotive and industrial segments leading the charge. Technologies such as fuse deposition modeling, stereolithography, and selective laser sintering are gaining popularity due to their ability to produce complex geometries and reduce production expenses. The market is also witnessing increased regulatory scrutiny, leading to the development of certification standards and quality assurance protocols. The integration of advanced scanning software and design software capabilities is enabling more precise and efficient manufacturing processes.
    Mergers & acquisitions and collaboration agreements are common as companies seek to expand their offerings and enhance their competitive positions. Despite the advancements, challenges remain, including the need for installation services, addressing the skills gap, and ensuring compatibility with traditional manufacturing methods. Desktop additive manufacturing and desktop 3d printers are also gaining traction for prototyping and educational purposes. The market's future direction lies in the continued development of more advanced technologies, improved design software, and the expansion of applications beyond prototyping to production. The shift from subtractive manufacturing methods to additive manufacturing is transforming industries, offering new opportunities for innovation and cost savings.
    The market's dynamics are shaped by ongoing technological advancements, regulatory developments, and industry 4.0 trends.
    

    How is this Additive Manufacturing Industry segmented?

    The additive manufacturing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Component
    
      Hardware
      Software
      Services
    
    
    End-user
    
      Automotive
      Aerospace
      Industrial
      Healthcare
      Defense
      Consumer Goods
      Education/Research
      Others
    
    
    Material
    
      Plastics
      Metals
      Ceramics
      Others
    
    
    Technology
    
      Stereolithography
      Polyjet printing
      Binder jetting
      Laser sintering
      Fused Deposition Modeling (FDM)
      Direct Metal Laser Sintering (DMLS)
      Electron Beam Melting (EBM)
      Directed Energy Deposition (DED)
      Others
      Binder jetting
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Spain
        UK
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Brazil
    
    
      Middle East and Africa
    
        UAE
    
    
      Rest of World
    

    By Component Insights

    The hardware segment is estimated to witness significant growth during the forecast period.

    Additive manufacturing, also known as 3D printing, is revolutionizing industrial production by enabling the creation of complex parts layer-by-layer. The market for this technology is in a high-growth stage, driven by the increasing adoption in industries such as aerospace, automotive, healthcare, and manufacturing. Industrial 3D printers, which use technologies like Fused Deposition Modeling (FDM), Stereolithography, Selective Laser Sintering (SLS), and Digital Light Processing (DLP), are at the heart of this process. These printers offer advantages such as enhanced material usage, functional parts precision, and reduced production expenses. The dental industry and education sector are witnessing significant growth in the utiliz

  12. M

    Comoros Manufacturing Output

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Comoros Manufacturing Output [Dataset]. https://www.macrotrends.net/global-metrics/countries/COM/comoros/manufacturing-output
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Comoros
    Description
    Comoros manufacturing output for was $0.00, a 0% increase from .
    <ul style='margin-top:20px;'>
    
    <li>Comoros manufacturing output for was <strong>$0.00</strong>, a <strong>0% increase</strong> from .</li>
    <li>Comoros manufacturing output for was <strong>$0.00</strong>, a <strong>0% increase</strong> from .</li>
    <li>Comoros manufacturing output for was <strong>$0.00</strong>, a <strong>0% increase</strong> from .</li>
    </ul>Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current U.S. dollars.
    
  13. T

    Austria Manufacturing Production

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +11more
    csv, excel, json, xml
    Updated Oct 27, 2016
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    TRADING ECONOMICS (2016). Austria Manufacturing Production [Dataset]. https://tradingeconomics.com/austria/manufacturing-production
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Oct 27, 2016
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1998 - May 31, 2025
    Area covered
    Austria
    Description

    Manufacturing Production in Austria increased 1 percent in May of 2025 over the same month in the previous year. This dataset provides - Austria Manufacturing Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  14. F

    Nonfarm Private Payroll Employment for Manufacturing

    • fred.stlouisfed.org
    json
    Updated Jun 4, 2025
    + more versions
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    (2025). Nonfarm Private Payroll Employment for Manufacturing [Dataset]. https://fred.stlouisfed.org/series/ADPMINDMANNERSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 4, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Nonfarm Private Payroll Employment for Manufacturing (ADPMINDMANNERSA) from Jan 2010 to May 2025 about payrolls, nonfarm, private, manufacturing, employment, and USA.

  15. Truck & Bus Manufacturing in the US

    • ibisworld.com
    Updated Apr 15, 2025
    + more versions
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    IBISWorld (2025). Truck & Bus Manufacturing in the US [Dataset]. https://www.ibisworld.com/united-states/employment/truck-bus-manufacturing/818/
    Explore at:
    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2005 - 2031
    Area covered
    United States
    Description

    Employment statistics on the Truck & Bus Manufacturing industry in the US

  16. m

    APAC Smart Manufacturing Market - Size, Share & Analysis

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Apr 24, 2025
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    Mordor Intelligence (2025). APAC Smart Manufacturing Market - Size, Share & Analysis [Dataset]. https://www.mordorintelligence.com/industry-reports/asia-pacific-smart-manufacturing-market-industry
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Apr 24, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Asia
    Description

    The APAC Smart Manufacturing Market report segments the industry into Enabling Technologies (Industrial Control Systems, Industrial Robotics, Machine Vision Systems, and more), End-User Industry (Automotive, Semiconductor, Oil and Gas, and more), and Country (China, India, and more).

  17. Quarterly manufacturing industrial production index SEA 2022-2024, by...

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Quarterly manufacturing industrial production index SEA 2022-2024, by country [Dataset]. https://www.statista.com/statistics/1552424/sea-quarterly-manufacturing-industrial-production-index-by-country/
    Explore at:
    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Asia, APAC
    Description

    In the third quarter of 2024, in Southeast Asia, the industrial production index (IIP) score of manufacturing in Vietnam was *****. In comparison, the IIP of manufacturing in Thailand in the third quarter of 2024 was ****.

  18. d

    Data from: Global Value Chain and Manufacturing Analysis on Geothermal Power...

    • catalog.data.gov
    • gdr.openei.org
    • +4more
    Updated Jan 20, 2025
    + more versions
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    National Renewable Energy Laboratory (2025). Global Value Chain and Manufacturing Analysis on Geothermal Power Plant Turbines [Dataset]. https://catalog.data.gov/dataset/global-value-chain-and-manufacturing-analysis-on-geothermal-power-plant-turbines-373cd
    Explore at:
    Dataset updated
    Jan 20, 2025
    Dataset provided by
    National Renewable Energy Laboratory
    Description

    In this study, we have undertaken a robust analysis of the global supply chain and manufacturing costs for components of Organic Rankine Cycle (ORC) Turboexpander and steam turbines used in geothermal power plants. We collected a range of market data influencing manufacturing from various data sources and determined the main international manufacturers in the industry. The data includes the manufacturing cost model to identify requirements for equipment, facilities, raw materials, and labor. We analyzed three different cases; 1) 1 MW geothermal ORC Turboexpander 2) 5 MW ORC Turboexpander 3) 20 MW geothermal Steam Turbine

  19. DataSet for logistics and manufacturing service composition

    • figshare.com
    zip
    Updated Mar 17, 2021
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    Omid Fatahi Valilai (2021). DataSet for logistics and manufacturing service composition [Dataset]. http://doi.org/10.6084/m9.figshare.14229299.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Mar 17, 2021
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Omid Fatahi Valilai
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Cloud manufacturing and logistics service composition

  20. Manufacturing Centres

    • open.canada.ca
    • ouvert.canada.ca
    jpg, pdf
    Updated Mar 14, 2022
    + more versions
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    Natural Resources Canada (2022). Manufacturing Centres [Dataset]. https://open.canada.ca/data/en/dataset/101fc2b2-ee0c-5415-bceb-46e505d0c254
    Explore at:
    jpg, pdfAvailable download formats
    Dataset updated
    Mar 14, 2022
    Dataset provided by
    Ministry of Natural Resources of Canadahttps://www.nrcan.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows two condensed maps illustrating the distribution of the labour force engaged in manufacturing circa early 1950s. The map has a dot representing every 100 people in the manufacturing labour force, with places of 1000 or more people in manufacturing being shown as proportional circles, instead. There are additional data for the 18 census metropolitan areas. This consists of a pie graph for each of these places showing the breakdown of the manufacturing labour force into each of 16 manufacturing industry types. The total manufacturing labour force in each of the census metropolitan areas is also given.

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National Institute of Standards and Technology (2022). Simantha: Simulation for Manufacturing [Dataset]. https://catalog.data.gov/dataset/simantha-simulation-for-manufacturing
Organization logo

Simantha: Simulation for Manufacturing

Explore at:
Dataset updated
Jul 29, 2022
Dataset provided by
National Institute of Standards and Technologyhttp://www.nist.gov/
Description

Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production lines with finite buffers. It also provides functionality for modeling the degradation and maintenance of machines in these systems. Classes for five basic manufacturing objects are included: source, machine, buffer, sink, and maintainer. These objects can be defined by the user and configured in different ways to model various real-world manufacturing systems. The object classes are also designed to be extensible so that they can be used to model more complex processes.In addition to modeling the behavior of existing systems, Simantha is also intended for use with simulation-based optimization and planning applications. For instance, users may be interested in evaluating alternative maintenance policies for a particular system. Estimating the expected system performance under each candidate policy will require a large number of simulation replications when the system is subject to a high degree of stochasticity. Simantha therefore supports parallel simulation replications to make this procedure more efficient.Github repository: https://github.com/usnistgov/simantha

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