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Jan 20, 2021

Quantitative principles for supply chains - Lecture 1.6

While supply chains can’t be characterized by definitive quantitative laws - unlike electromagnetism - general quantitative principles can still be observed. By 'general', we mean applicable to (almost) all supply chains. Uncovering such principles is of prime interest because they can be used to facilitate the engineering of numerical recipes intended for the predictive optimization of supply chains, but they can also be used to make those numerical recipes more powerful overall. We review two short lists of principles":" a few observational principles and a few optimization principles.

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Jan 13, 2021

A Day in a Life of a Supply Chain Scientist

We've previously discussed the importance of a supply chain specialist over someone with more classic data science capabilities. At Lokad, we call them "Supply Chain Scientists". We're joined by one of our Supply Chain Scientists, Maximilian Barth, to learn more about what their role entails.

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Jan 6, 2021

21st Century Trends in Supply Chain - Lecture 1.5

A few major trends have been dominating the evolution of supply chains over the last decades, largely reshaping the mix of challenges faced by companies. Some problems have largely faded away, such as physical hazards and quality issues. Some problems have risen, such as overall complexity and competition intensity. Notably, software is also reshaping supply chains in profound ways. A quick survey of these trends helps us understand what should be the focus of a supply chain theory.

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Dec 23, 2020

The Future of Work in Supply Chains

Mahatma Gandhi famously said that “The future depends on what you do today.” ― and for the organizations of tomorrow to be successful they already need to start establishing the right set up and supply chain operating model. We're delighted to welcome Markus Leopoldseder and Knut Alicke from McKinsey to discuss with us which capabilities organizations should be focusing on, and what the future of work in supply chains may look like.

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Dec 16, 2020

Programming paradigms as Supply Chain theory - Lecture 1.4

While mainstream supply chain theory struggles to prevail in companies at large, one tool; namely Microsoft Excel, has enjoyed considerable operational success. Re-implementing the numerical recipes of the mainstream supply chain theory via spreadsheets is trivial, yet, this is not what happened in practice despite awareness of the theory. We demonstrate that spreadsheets won by adopting programming paradigms that proved superior to deliver supply chain results.

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Dec 9, 2020

Product-oriented delivery for Supply Chain - Lecture 1.3

The goal of a Quantitative Supply Chain initiative is either to deliver or to improve a software application that robotizes a scope of routine decisions (e.g. inventory replenishments, price updates). The application is viewed as a product to be engineered. The supply chain theory is there to help us deliver an application that steers the company toward supply chain performance, while being compatible with all the constraints that the production entails.

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Dec 2, 2020

The Quantitative Supply Chain in a nutshell - Lecture 1.2

The Quantitative Supply Chain's manifesto emphasizes a short series of salient points to grasp how this alternative theory, proposed and pioneered by Lokad, diverges from the mainstream supply chain theory. It could be summarized with':' every single decision is scored against all the possible futures according to the economic drivers. This perspective gradually emerged at Lokad as the mainstream supply chain theory, and its implementation by (nearly?) all software vendors, remains challenging.

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Nov 25, 2020

The Foundations of Supply Chain - Lecture 1.1

Supply chain is the quantitative yet street-smart mastery of optionality when facing variability and constraints related to the flow of physical goods. It encompasses sourcing, purchasing, production, transport, distribution, promotion, ... - but with a focus on nurturing and picking options, as opposed to the direct management of the underlying operations. We will see how the “quantitative” supply chain perspective, presented in this series, profoundly diverges from what is considered the mainstream supply chain theory.

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Numerical Recipes for Supply Chain

Much like a great chef in a Michelin star kitchen, the best data scientists have to craft statistical solutions that adapt and evolve to every scenario. As such, we investigate what it takes to create these numerical recipes and what characterizes the solutions built for our supply chains.

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Financial Optimization of Supply Chains

Dollars of profits and losses are the only metric that matter in the long run for any company. At Lokad, we emphasize a strict financial optimization of the supply chain. This approach should not be confused with short-sightedness and other kinds of pseudo-rational methods which are prevalent when finance gets in charge of the strategy. This approach goes against the idea of service levels, and most of the other KPIs similarly defined through percentages.

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The Unification of Pricing and Planning

Historically, pricing and planning have been dealt with by separate divisions within companies. This has resulted in inconsistent strategic thinking and data silos. For this episode of LokadTV, we discuss why these two challenges should be dealt with in tandem and how they are actually, in reality, two sides of the same coin.

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The Supply Chain Law of Small Numbers

Mainstream statistics are all about the law of large numbers. Yet, supply chains are the opposite. It's the law of small numbers that prevails. For decades, this mistunderstanding has generated problems for practitioners due to misdesigned tools, methods and processes. In this episode, we discuss the challenges and the appropriate perspectives when it comes to small numbers.

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