Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Sim-PROCESD: Simulated-Production Resource for Operations and Conditions Evaluation to Support Decision-making

Metadata Updated: September 11, 2024

Sim-PROCESD 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. It also provides functionality for modeling the degradation and maintenance of machines in these systems. Sim-PROCESD provides class definitions for manufacturing devices/components that can be configured by the user to model various real-world manufacturing systems. The classes are designed to be extensible so the user can change their behavior to model more complex processes.In addition to modeling the behavior of existing systems, Sim-PROCESD is 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. Sim-PROCESD therefore provides tools to make simulation replication easy.

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

Dates

Metadata Created Date August 20, 2022
Metadata Updated Date September 11, 2024

Metadata Source

Harvested from NIST

Additional Metadata

Resource Type Dataset
Metadata Created Date August 20, 2022
Metadata Updated Date September 11, 2024
Publisher National Institute of Standards and Technology
Maintainer
Identifier ark:/88434/mds2-2733
Data First Published 2022-08-17
Language en
Data Last Modified 2024-08-15 00:00:00
Category Manufacturing:Factory operations planning and control, Manufacturing:Manufacturing systems design and analysis
Public Access Level public
Bureau Code 006:55
Metadata Context https://project-open-data.cio.gov/v1.1/schema/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id f9d86b94-bc9b-4a47-bdfe-0093501e460b
Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
Harvest Source Title NIST
Homepage URL https://data.nist.gov/od/id/mds2-2733
License https://www.nist.gov/open/license
Program Code 006:045
Source Datajson Identifier True
Source Hash 4667b5c9e4e5c3a3e475d5a9c8813c95646e8b4ca581dcfff733d0ad48b89405
Source Schema Version 1.1

Didn't find what you're looking for? Suggest a dataset here.