MBSE For Knowledge Transfer

In the dynamic landscape of the food industry, the success of startup food delivery companies hinges on efficient and scalable systems to meet the demands of a rapidly expanding market. This research project adapts the approach of model-based systems engineering (MBSE) to support a small business startup operations expansion. An adapted MBSE methodology was used to create a replicable business blueprint specifically for a campus food delivery startup. This startup is based on hyper fast delivery, which means this model has an emphasis on quick internal processing and delivery. The current state was captured in a variety of different viewpoints or artifacts to simplify communication of complex business processes. A use case diagram provides a high-level look at key stakeholders and their major responsibilities. Then, action diagrams map out the specific steps in each major process. These artifacts and more were then analyzed and updated to improve operations and overall customer service. These artifacts for the optimized operations were used to train new employees and could be used to rapidly replicate operations on another campus. An overview of how MBSE was adapted for the startup environment and an assessment of the methodology's usefulness for training and rapid expansion will be presented. This project contributes valuable insights into the creation of a rapidly scalable training system, offering a roadmap for startup companies to navigate the complexities of their initial expansion phases while fostering a resilient business model.

Authors

Publication Details

Published
2024-10-01
DOI
https://doi.org/10.21872/2024iise_6386
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

MBSE For Knowledge Transfer

Broghan Martin, Jill Speece
Scheduling and Optimization Algorithms
article

MBSE For Knowledge Transfer

Broghan Martin, Jill Speece
article en

Abstract

In the dynamic landscape of the food industry, the success of startup food delivery companies hinges on efficient and scalable systems to meet the demands of a rapidly expanding market. This research project adapts the approach of model-based systems engineering (MBSE) to support a small business startup operations expansion. An adapted MBSE methodology was used to create a replicable business blueprint specifically for a campus food delivery startup. This startup is based on hyper fast delivery, which means this model has an emphasis on quick internal processing and delivery. The current state was captured in a variety of different viewpoints or artifacts to simplify communication of complex business processes. A use case diagram provides a high-level look at key stakeholders and their major responsibilities. Then, action diagrams map out the specific steps in each major process. These artifacts and more were then analyzed and updated to improve operations and overall customer service. These artifacts for the optimized operations were used to train new employees and could be used to rapidly replicate operations on another campus. An overview of how MBSE was adapted for the startup environment and an assessment of the methodology's usefulness for training and rapid expansion will be presented. This project contributes valuable insights into the creation of a rapidly scalable training system, offering a roadmap for startup companies to navigate the complexities of their initial expansion phases while fostering a resilient business model.

Openalex Percentile: Top 55%
Scheduling and Optimization Algorithms
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MBSE For Knowledge Transfer — Broghan Martin, Jill Speece · (2024) | TGRS Research Map | TGRS