Purpose With the current wave of modernization in the dairy industry, the global dairy market
has seen significant shifts. Making the most of inventory planning, machine learning (ML) …

Warehouse design and planning involve complex decisions on receiving, storage, order
picking and ship** products (ie, stock-kee** units-SKUs) and can affect the …

With the dawn of Industry 5.0 upon us, the smart factory emerges as a pivotal element,
playing a crucial role in the realm of intelligent manufacturing. Meanwhile, mobile edge …

Warehousing is at the heart of effective supply chain management, acting as a vital hub for
the storage, handling, and delivery of commodities. This project emphasizes the critical …

This thesis explores how advanced analytics, specifically machine learning, can be utilized
to classify spare parts, aiding the case company in optimizing space allocation and packing …

Supply chain (SC) design, planning, and operation decisions are critical to the success or
failure of a company (Craighead et al., 2007). Measuring SC efficiency enables …

Demand forecasting for sales is a widely researched topic that is essential for a business to
prepare for market changes and increase profits. Existing research primarily focus on data …

As warehouse operations grow in complexity, many organizations turn to digital twins to
increase their performance capabilities. Digital twins are virtual replicas of physical entities …

In the ongoing transition to Logistics 4.0, humans and technologies are increasingly
interacting in operations systems. An example is the use of wireless devices for operation …

This research evaluates various supervised machine learning models for their ability to
accurately assess and predict storage allocation strategies. Model selection was guided by …