Sprock, T.
and Bock, C.
(2021),
Model of Operational Control of Discrete Event Logistics Systems (DELS), NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.8378, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=931468
(Accessed December 3, 2024)
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Model of Operational Control of Discrete Event Logistics Systems (DELS)
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Abstract
Operations management systems manage flows of work, resources, and information through production and logistics systems, ensuring the correct and efficient execution of requested work. These systems can leverage recent advances in data availability, analytical capabilities, and industrial automation to substantially improve overall system performance. Additional improvements include streamlining flows of work, resources, and information across functionally heterogeneous components of production and logistics systems, which often have their own planning, execution, and data management systems. These smart manufacturing capabilities may simplify system implementation and improve its operation. However, they also introduce additional complexity to the system and design process. This paper proposes a model of operational control capable of supporting an integrated approach to design, analysis, and operation across functionally heterogeneous systems, classified as discrete event logistics systems. The model identifies and formalizes operational control decision-making and actuation functions required by these systems. It then provides logical modeling components that can be reused, specialized, and assembled into operational control system models. These models can be linked and integrated with other models and views of the system as part of an overall model-based engineering effort.Citation
NIST Interagency/Internal Report (NISTIR) - 8378
Report Number
8378
NIST Pub Series
Pub Type
NIST Pubs
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Keywords
Operations Management, Control, Discrete Event Logistics Systems (DELS), Production and Logistics, Smart Manufacturing, System Modeling
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Created July 8, 2021, Updated October 14, 2021