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

Metadata Updated: September 30, 2023

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


Metadata Created Date August 20, 2022
Metadata Updated Date September 30, 2023

Metadata Source

Harvested from NIST

Additional Metadata

Resource Type Dataset
Metadata Created Date August 20, 2022
Metadata Updated Date September 30, 2023
Publisher National Institute of Standards and Technology
Identifier ark:/88434/mds2-2733
Data First Published 2022-08-17
Language en
Data Last Modified 2023-06-28 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
Schema Version
Catalog Describedby
Harvest Object Id 47f64b85-4819-4520-9b62-37904cc570fa
Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
Harvest Source Title NIST
Homepage URL
Program Code 006:045
Source Datajson Identifier True
Source Hash c479c33e03fb8a8996c032c3eeb7a0cc4586620ffb5603f671e5a3472e2512f7
Source Schema Version 1.1

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