SysML Model Libraries Supporting Discrete Event Logistics Systems (DELS) Models

System models and model-based engineering methods have the promise of transforming the way that industrial engineers interact with production and logistics systems. Model-based methods play a role in improving communication between stakeholders, interoperability between systems, automated access to consistent analysis models, and multi-disciplinary design methods for complex systems. However, there remains a need for a foundation for modeling these kinds of systems -- a foundation that tailors the methods and tools developed in other engineering domains to the unique concepts and semantics of the production and logistics domain. This necessary foundation is the topic of these models. This repository contains model libraries for modeling discrete event logistics systems (DELS), an abstraction that covers manufacturing plants, material handling and transportation systems, warehouses, supply chains, etc. The DELS abstraction was created by abstracting and modeling the commonalities across the kinds of systems that industrial engineers typically encounter, and the analysis models that they use to analyze those system.The models are implemented in the Systems Modeling Language (SysML) developed using MagicDraw 18.5 by No Magic. This software data item is created using SysML 1.4 and stored as Extensible Markup Language (XML) Model Interchange (XMI) models and Hypertext Markup Language (HTML) reports. MagicDraw 18.5 or later with SysML plugin is required to edit the model (also provided in proprietary mdzip format). The HTML documentation is provided for readers without the MagicDraw software. The models are documented in NISTIR-8262.

Data and Resources

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identifier ark:/88434/mds2-2203
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modified 2020-04-06 00:00:00
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theme {"Manufacturing:Systems integration","Manufacturing:Systems engineering","Manufacturing:Supply chain","Manufacturing:Manufacturing systems design and analysis","Manufacturing:Factory operations planning and control"}
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  • National Provider
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Tags
  • amerigeo
  • amerigeoss
  • ckan
  • geo
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  • industrial-engineering
  • model-based-systems-engineering
  • national
  • north-america
  • production-systems
  • smart-manufacturing
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maintainer Conrad Bock
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metadata_created 2025-11-22T03:43:37.801199
metadata_modified 2025-11-22T03:43:37.801203
notes System models and model-based engineering methods have the promise of transforming the way that industrial engineers interact with production and logistics systems. Model-based methods play a role in improving communication between stakeholders, interoperability between systems, automated access to consistent analysis models, and multi-disciplinary design methods for complex systems. However, there remains a need for a foundation for modeling these kinds of systems -- a foundation that tailors the methods and tools developed in other engineering domains to the unique concepts and semantics of the production and logistics domain. This necessary foundation is the topic of these models. This repository contains model libraries for modeling discrete event logistics systems (DELS), an abstraction that covers manufacturing plants, material handling and transportation systems, warehouses, supply chains, etc. The DELS abstraction was created by abstracting and modeling the commonalities across the kinds of systems that industrial engineers typically encounter, and the analysis models that they use to analyze those system.The models are implemented in the Systems Modeling Language (SysML) developed using MagicDraw 18.5 by No Magic. This software data item is created using SysML 1.4 and stored as Extensible Markup Language (XML) Model Interchange (XMI) models and Hypertext Markup Language (HTML) reports. MagicDraw 18.5 or later with SysML plugin is required to edit the model (also provided in proprietary mdzip format). The HTML documentation is provided for readers without the MagicDraw software. The models are documented in NISTIR-8262.
num_resources 2
num_tags 14
title SysML Model Libraries Supporting Discrete Event Logistics Systems (DELS) Models