Optimization programming — archived coursework

Archived 2018 Seattle University BUAN 5260 coursework. This repository contains R Markdown analyses of network-flow and linear optimization, binary integer programming with price-sensitivity simulation, and M/M/c queueing and inventory scenarios. It is not client or production work.

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Scope and authorship

• The three R Markdown analyses and the final network report identify Afsar Ali as author.
• Network Problem.pdf and Optimization Problem.pdf are course problem statements attributed to Gareth Green / Seattle University.
• The CSV inputs were supplied for the course.
• The network assignment allowed either individual or two-person work. The repository does not document whether this submission was completed alone or with a partner.
• Rights to redistribute the course materials and data are not documented. No license is granted by this repository.

What the project demonstrates

• network maps, shortest-path reasoning, and constrained network-flow models;
• binary integer programming with explicit business rules;
• a seeded price-sensitivity simulation;
• M/M/c queueing analysis for work-in-process inventory decisions;
• decision-oriented tables, visualizations, and written recommendations.

Artifacts

Network optimization

• Problem statement
• Course-provided data
• R Markdown source
• Rendered analysis
• Final report

Integer programming and queueing/inventory analysis

• Problem statement
• Course-provided data
• Integer-programming R Markdown source
• Rendered integer-programming analysis
• Queueing/inventory R Markdown source
• Rendered queueing/inventory analysis

Runtime and reproducibility status

The source uses R packages including igraph, lpSolve, lpSolveAPI, tidyverse, magrittr, data.table, reshape2, queueing, knitr, kableExtra, and formattable. R and package versions were not recorded, and the repository has no lockfile, automated test, continuous-integration workflow, or verified one-command render. The archived outputs have not been rerun under a current environment.