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 ...
This is a preview. Log in through your library . Abstract Inventory control models have received a great deal of attention in recent years. But the fruited application of inventory models is limited ...
Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Michael Boyle is an experienced ...
As inventory demands fluctuate, healthcare facility leaders may wonder if low or Logical Unit of Measure (LUM) distribution models are the best choice to meet their facility’s evolving needs. However, ...
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MRO INVENTORY OPTIMISATION AS A DATA-DRIVEN APPROACH TO OPERATIONAL EFFICIENCY
Maintenance, Repair and Operations (MRO) inventory optimisation is not just a technical concern, it is a strategic priority ...
SAN FRANCISCO--(BUSINESS WIRE)--Alloy.ai, a software platform that helps consumer brands rapidly sense and adjust to changes in consumer demand and supply chain disruptions, today announced the launch ...
Specialty pharmaceutical growth poses unique challenges for hospital pharmacies. Effectively managing these high-cost therapies that often have unpredictable demand requires a different inventory ...
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