Joint Congestion-Information and Flexible-Capacity Control in Finite-Buffer Service Networks

Description

Version 2 synchronizes the documentation and figure/table map with the EJOR V5.25 manuscript and includes a direct deterministic verifier for the information-price endpoint decomposition. The underlying model, parameters, frozen numerical ledgers, figures, and scientific outputs are unchanged from Version 1. The verifier reproduces G(0)=0.004498327, G(1)=0.513965481, the endpoint component 0.509467154, and its 99.1248% share of the baseline absolute gap.

Steps to reproduce

1. Download and extract the archive, preserving the directory structure. 2. Use Python 3.12.14 and install the pinned dependencies from the package root: python3 -m venv .venv source .venv/bin/activate python3 -m pip install --upgrade pip python3 -m pip install -r requirements.txt On Windows, activate the environment with: .venv\Scripts\activate and use “python” instead of “python3” if required. 3. From the extracted package root, run the complete deterministic reproduction workflow: python3 code/run_all.py This command executes all 26 solver, verification, robustness, and cross-check scripts; regenerates the numerical result files and figures; and rebuilds the SHA-256 manifest. A successful full run ends with: PASS: 26 scripts completed 4. Generated and verified numerical outputs are written to the “results/” directory. Recreated figures are written to the “figures/” directory. The archived outputs can be used for direct comparison. 5. To verify only the information-price endpoint decomposition reported in the manuscript, run: python3 code/information_price_endpoint_decomposition.py The expected terminal output is: G0=0.004498327 G1=0.513965481 endpoint_component=0.509467154 endpoint_component_share_pct=99.1248 endpoint_checks=5/5 PASS 6. The computations are deterministic and do not use random simulation or random seeds. The independent occupation-measure cross-check uses the SciPy HiGHS linear-programming backend, which is installed through requirements.txt. All numerical instances are synthetic and contain no empirical or personal data.

Institutions

• Sangji University

  Gangwon-do, Wŏnju

Categories

Licence