The Quantitative Supply Chain Blog

where supply chain and rocket science meet

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Jun 13, 2022

supply chain science

Forecasting Climate Change like a Supply Chain Planner

Transcript of the talk given by Joannes Vermorel at the Ecole polytechnique in Palaiseau (France) on Friday, June 3rd for the symposium 'Artificial Intelligence, Digital and Climate Change'.

Feb 21, 2022

Grand experiment on the TCO of a supply chain software

The price tag of a piece of software ranges from nothing, as it happens with open source, to quite a lot - enterprise software leaning heavily towards the latter. However, operating a piece of software always involves some degree of overhead. The notion of TCO (Total Cost of Ownership) precisely tries to capture the cost in full, taking into account both direct and indirect costs.

Feb 14, 2022

Control and bureaucracies in Supply Chains

Over the years, it has become increasingly frustrating to witness that most companies seeking to improve their supply chain performance are setting themselves up for failure through their own RFP (request for proposals) and RFQ (request for quotes) processes.

Nov 29, 2021

Envision VM (part 3), Atoms and Data Storage

During execution, thunks read input data and write output data, often in large quantities. How to preserve this data from the moment it is created and until it is used (part of the answer is on NVMe drives spread over several machines), and how to minimize the amount of data that goes through channels slower than RAM (network and persistent storage).

Nov 22, 2021

Envision VM (part 2), Thunks and the Execution Model

Like most other parallel execution systems, Envision produces a directed acyclic graph (DAG) where each node represents an operation that needs to be performed, and each edge represents a data dependency where the downstream node needs the output of the upstream node in order to run.

Nov 15, 2021

Envision VM (part 1), Environment and General Architecture

A Supply Chain Optimization pipeline covers a wide range of data processing needs':' data ingestion and augmentation, feature extraction, probabilistic forecasting, producing optimal decisions under constraints, data exports, analytics, and dashboard creation.

Oct 19, 2021

Beyond time-series

When all you have is a hammer, everything looks like a nail. The hammer long favored by the supply chain community has been time-series and, as a result, in supply chain circles all problems look like time-series forecasts. The hammering temptation is compounded by the extensive literature that exists on time-series forecasting beyond supply chain use cases.

Sep 20, 2021

Incrementalism is the bane of supply chains

Incrementalism in supply chain includes improving the forecasting accuracy, improving the service level, reducing the stock level, reducing the lead time. Despite its prevalence among large companies, this approach rarely yields any tangible benefit.

Jul 28, 2021

Supply Chain as a Service

In terms of predictive optimization, most supply chains are stuck in the early 1990s. As we started to address the root cause of predictive optimization failures, Supply Chain as a Service emerged as our business model.

Jun 29, 2021

Tidbits of supply chain terminology

The emergence of a terminology is, at best, a haphazard process. Supply chain is no exception and, in hindsight, a sizeable portion of supply chain terminology is inadequate. Confusing terminology hurts newcomers and seasoned practitioners alike. Newcomers struggle more than they should with accidental complexity. Practitioners may not realize that the premise of their field ismore shaky than it appears.