Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Supply Chain Analytics"”.
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Essays on supply chain analytics: Investment and capacity planning under uncertainty
… strategies in the presence of different types of supply uncertainties and risks. Both essays in this dissertation benefit from empirical analysis as the analytical models build on the findings and observations from the corresponding empirical investigation. Each essay shows the benefits from …
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Stochastic Control Through a Modern Lens: Applications in Supply Chain Analytics and Logistical Systems
The thesis investigates classical multi-period stochastic control problems through a modern lens, including stochastic inventory control, dynamic pricing and vehicle routing. A brief history of the academic works on stochastic control is presented in Chapter 1, where the relevance of papers on …
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Integrating Systems, Processes, and Human Judgment: Three Essays on Value Creation with Supply Chain Analytics
<p>Big-data, analytics, automation, and machine learning are changing the role of managers in supply chain and operations functions. Extant research indicates that effective value creation by analytics is achieved through careful attention to three components: technology, people, and processes. As …
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Investigating and understanding the influence of supply chain analytics capabilities on firm performance in the tea sector in Sri Lanka
Incorporating big data analytics into supply chain management practices is still relatively unexplored, impeding both its theoretical and practical implementations. Present study aims to investigate and conclude the impact of supply chain analytics management capabilities, supply chain analytics …
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Modeling inventory and responsiveness costs in a supply chain
Evaluation of supply chain performance is often complicated by the various interrelationships that exist within the network of suppliers. Currently many supply chain metrics cannot be analytically determined. Instead, metrics are derived from monitoring historical data, which is commonly referred …
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Optimizing replenishment order quantities in uncoordinated supply chains
Many modern supply chains can be described as a series of uncoordinated suppliers. That is each supplier establishes their individual inventory and production policies on both the input and output sides. In these supply links there is minimal coordination between suppliers, and typically only …
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Predictive Analytics and Machine Learning for the Risk-Based Management of Agricultural Supply Chains
Safe, healthy and resilient food supply chains are essential to ensuring the livelihood and well-being of humans and societies, as well as local and global economies. However, the ability to provide and sustain access to nutritious and safe food continues to be a major concern and a challenge for …