Warehouse location problems Archives - Supply Chain Data Analytics

Static facilities in supply chains

In this article, I propose a classification for static facilities in supply chains, i.e., those that are not mobile. Furthermore, as these facilities are static, their location becomes essential, and selecting a location is accompanied by strategic costs. Supply chains […]

Monte-carlo simulation in R for warehouse location risk assessment

Monte-carlo simulation is a very popular technique when it comes to risk assessment. In previous posts I have introduced implementations of monte-carlo simulations in Python and R. I e.g. used monte-carlo simulation to assess the risk associated with price developments of […]

Prescriptive Analytics for Supply Chain Network Design

One of the duties I frequently performed as an operations research analyst in consulting projects was optimizing companies’ supply chain network designs. A supply chain is a network that connects suppliers with customers to procure materials, transform them into final […]

Locating multiple warehouses at center of mass (using R)

In a previous post I showed how a single warehouse location problem can be approached by locating the warehouse near its center of mass. In this post we want to locate multiple warehouses at their center of mass. We will […]

Proximity-based spatial customer grouping (in R)

Providing a coding example for how to conduct spatial proximity customer clustering, applicable e.g. when searching for multiple centers of gravity (i.e. when wanting to solve a multiple warehouse location problem). The logic and approach is the same as in any kind […]

R code for constructing a cost matrix for discrete warehouse location problems

Operations research provides a range of algorithms for determining exact optimal solutions to discrete warehouse location problems. However, these algorithms require a cost matrix, specifying the cost for supplying customer i from warehouse j, for each customer and each warehouse. […]

Single warehouse problem: Locating warehouse at center of mass (using R)

In a previous post I demonstrated how one can assign customers to the nearest warehouse using a well-known clustering algorithm. In this post I will demonstrate how a single warehouse location problem can be approached by applying center of mass […]

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