Date of Award

2024-12-01

Degree Name

Master of Science

Department

Systems Engineering

Advisor(s)

MD Fashiar Rahman

Abstract

As globalization reshapes our industries worldwide, supply chain management has evolved into a highly interconnected world that oversees traditional management, making countries more interdependent. Driven by rapid technological advancements, this shift allows companies to share information in a matter of seconds across continents, aligning operations and building adaptability to quick changes. Therefore, industries have greatly needed to adjust to and use the new technology to their advantage. However, even when this impact can be observed globally, the general impact can be analyzed and eradicated by performing micro-level analysis within the supply chain using technologies to their advantage. AnyLogic is a great tool that helps simulate real-world scenarios to optimize current processes and simulate different potential outcomes for companies. This study aims to showcase the importance of micro-level analysis, simulating how different deliveries would behave for houses, departments, and apartments within the El Paso, TX, location. Key components such as delivery delays and overall processes were thoroughly integrated into the simulation framework. The MOST (Maynard Operation Sequence Technique ) analysis technique and a Monte Carlo simulation analysis were employed to ensure more accurate data in the simulated scenarios and improve the accuracy of delay times. Furthermore, the results obtained within this analysis were translated into another simulation using the GIS mapping features of Anylogic, Javascript coding, state charts, and events. This study showcased the importance of performing a detailed-oriented analysis as it showed scenarios where companies could have hired more employees and had low utilization rates and incomes. In contrast, in some other scenarios, if the correct analysis had not been performed, companies could have hired fewer employees, not performed all the deliveries committed to, and overworked employees.

Language

en

Provenance

Recieved from ProQuest

File Size

90 p.

File Format

application/pdf

Rights Holder

Dana Alejandra Zamorano Orozco

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Engineering Commons

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