Lecture 12

Time to Recover (TTR) & Time to Survive (TTS) - Harvard Business Review

Traditional methods for managing supply chain risk rely on knowing the likelihood of occurrence and the magnitude of impact for every potential event that could materially disrupt a firm’s operations. For common supply-chain disruptions—poor supplier performance, forecast errors, transportation breakdowns, and so on—those methods work very well, using historical data to quantify the level of risk.

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Zalando: A digital foundation for fashion supply chain success

By 2021 Zalando had become Europe’s largest pure player in online fashion. But the road to success had not always been smooth. Back in 2014, six years after it was founded, the Germany-based company was at a crossroads. With an impending initial public offering (IPO) and investors looking for results, the company was nowhere near being profitable. Zalando realized that to achieve profitability and market leadership, it would have to leverage advanced technology and develop a data-driven supply chain. So, with the innovative spirit of a start-up, it embraced the challenge of building internal digital tools and competencies to drive supply chain efficiencies.

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EY : How Supply chains can leverage Generative AI

GenAI creates new content, such as numerical data, images, text, audio or video, based on data on which it has been trained. Recent advances make it simpler to use and realize value from, but the technology isn’t new. Already around 40% of supply chain organizations are investing in GenAI, focusing on knowledge management applications.

Analytics for an Online Retailer: Demand Forecasting and Price Optimization

This presentation highlights a collaborative effort with Rue La La, an online fashion sample sales retailer, showcasing how leveraging extensive data can optimize daily pricing decisions. Rue La La faces the challenge of pricing and forecasting demand for new products, a significant portion of their sales. To address this, the team employs machine learning to estimate historical lost sales and predict future demand. The unique nonparametric structure of the demand prediction model, coupled with the influence of competitor prices, requires a tailored algorithm for multi-product price optimization.

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Key Research Issues in Supply Chain & Logistics Management: 2030

The research report highlights the research issues that need to be pondered over by the Logistics community till 2030. It focuses on different aspects of Logistics in India. It investigates the differnt opportunities and challgenges of Supply Chain in India. It also investigates global and industrial problems in order to build a ressillient supply chain.

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Time Series Transformer

The Time Series Transformer model is a vanilla encoder-decoder Transformer for time series forecasting.

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Fundamental Tasks of AI - Clustering

Graph Based Clustering -
Graph-based clustering is a technique used to identify groups of similar data points within a complex network structure. It represents data points as nodes (vertices) in a graph and their pairwise similarities are encoded as weighted edges. The algorithm then aims to partition the graph into clusters by finding densely connected groups of nodes while minimizing connections between clusters

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Renaissance of Indian Manufacturing Sector

The manufacturing sector is one of the quintessential components to balance employment generation, economic growth, and environmental sustainability. Due to that, it is admitted as the backbone of the country’s economy as it offers a significant contribution to GDP and job creation. Globalization further influences it by the driving forces of outsourcing and distributed manufacturing with technological advancements. However, the decreasing share in GDP and shrinking employment from the manufacturing sector has become concerning predicaments.

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Behind the scenes, How Ford Supply Chain Powers Your Ride

In the world of making things and getting them to where they need to be, there’s something crucial working behind the scenes – it’s called a supply chain. This may sound fancy, but it’s a simple way of saying how things are made and delivered to us. In this article, we’re going to explore Ford supply chain.

Ford is like a pioneer in making cars. In 1936, a clever inventor Henry Ford started it all with the Model T. This car was different because it was made on an assembly line, where workers added parts step by step. This made cars faster and more affordable so more people could own one. That’s how Ford became a household name.

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