» What supply chain analytics is and what benefits it offers your business (Chapters 1 and 2) » Which metrics and key performance indicators (KPIs) should you look to measure (Chapter 3) » Where in your supply chain you can apply analytics and how this differs by industry (Chapter 4) » How to begin implementing supply chain analytics
How resilient is your supply chain to external shocks? What are the most significant risks to your supply chain? What are your plans to mitigate them? Where are you most likely to discover profit pools in your supply chain? If you encounter a supply shortfall, which scenarios or options can help you drive SKU profitability without incurring ...
evaluate, and capture Big Data opportunities in their supply chains. •Supply chain analytics uses data and quantitative methods to improve decision making for all activities across the supply chain. Particularly, it does two new things. • The Supply Chain Operations Reference model developed by the Supply Chain
Supply Chain Analytics at a Glance – a Guide to Data-Driven Supply Chains. Process design. Supply chain configuration. Replenishment / production mode selection. Prediction of process or quality (non-) conformance. Predictive maintenance.
The primary purpose of any supply chain is to satisfy a customer’s need at the end of the supply chain. Essentially supply chains seek to maximize the total value generated as defined as: the amount the customer pays minus the cost of fulfilling the need along the entire supply chain.
In this course, students will learn four key challenges facing supply chain managers, six drivers of supply chain performance, techniques to optimize these key drivers, supply chain best practices, as well as strategies for supply
Supply Chain Analytics: Concepts, Techniques and Applications
Jan 1, 2022 · “Supply Chain Analytics by Kurt Liu combines the essence of supply chain strategy with decisions taken at strategic, tactical, and operational levels and how data can support these decisions.
(PDF) Supply Chain Analytics: Application Areas and
Jun 15, 2021 · Supply chain analytics (SCA) comprises a broad range of data analytics approaches, applied to value-adding use cases across the supply chain. We combine the results of a...
(PDF) Supply Chain Analytics: Using Data to Optimise
PDF | On Nov 12, 2020, Peter W. Robertson published Supply Chain Analytics: Using Data to Optimise Supply Chain Processes | Find, read and cite all the research you need on ResearchGate.
Supply Chain Analytics: Concepts, Techniques and Applications ...
This innovative new core textbook, written by an experienced professor and practitioner in supply chain management, offers a business-focused overview of the applications of data analytics and machine learning to supply chain management.
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