This program is offered by the Department of Management Science and Information Systems (MSIS). It is the continuation of the previous concentration in Management Science and the program of Operations ...
We study the classical multiperiod capacitated stochastic inventory control problems in a data-driven setting. Instead of assuming full knowledge of the demand distributions, we assume that the demand ...
The Journal of the Operational Research Society, Vol. 66, No. 2 (FEBRUARY 2015), pp. 331-341 (11 pages) We address the problem of how to determine control parameters for the inventory of spare parts ...
Inventory classification and optimisation techniques are pivotal in modern supply chain management, offering structured approaches to managing diverse inventory portfolios. Traditional methods such as ...
Efficient Learning Algorithms for the Best Capped Base-Stock Policy in Lost Sales Inventory Systems Periodic review, lost sales inventory systems with lead times are notoriously challenging to ...
The global inventory management software market is expected to grow with a CAGR of 8.1% from 2025 to 2031. The major drivers for this market are the increasing need for supply chain efficiency, the ...
In machine shops, the “parts” — i.e., the raw materials, MRO supplies and equipment, works-in-progress, and the finished goods — are vital role in the success of the business. Without effective ...
Business managers face an endless list of complex issues every day. They must make decisions about financing, where to build a plant, how much of a product to manufacture, how many people to hire, and ...
An inventory manager must be able to develop an effective inventory control system to manage customer demand. The demand for the product will control inventory costs, carrying costs, ordering costs ...
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