INFORMS Open Forum

Inventory-minded friends:

I wanted to let you know about a Python package that I recently published for inventory optimization and simulation called stockpyl. It implements classical single-node inventory models like the economic order quantity (EOQ), newsvendor, and Wagner-Whitin problems. It also contains algorithms for multi-echelon inventory optimization (MEIO) under both stochastic-service model (SSM) and guaranteed-service model (GSM) assumptions. And, it has extensive features for simulating multi-echelon inventory systems.

The package is available on PyPI at https://pypi.org/project/stockpyl/ (or you can install from the command line using pip install stockpyl). The source code is available on GitHub at https://github.com/LarrySnyder/stockpyl, and documentation is at https://stockpyl.readthedocs.io/. Feedback welcome!

Larry

------------------------------
Lawrence Snyder
Professor
Lehigh University
Bethlehem PA
lvs2@lehigh.edu
------------------------------