Facility allocation problems Archives

Pyomo for quadratic assignment problem

No matter if it is the assignment of departments to empty rooms in a building, machines to manufacturing cells, factories to geographical regions, products to racks in a warehouse, sensors to devices, edge computers inside the internet of things network, […]

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 for warehouse allocation

In this article I present an exemplary application of monte-carlo simulation for warehouse allocation. 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 […]

Prescriptive analytics for 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 […]

Spatial proximity based clustering of customers

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 locate multiple warehouses). The logic and approach is the same as in any kind of distance based […]

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 […]

Cost matrix for warehouse location problem (in R)

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. […]

Assigning clients to nearest warehouse (in R)

In this post I provide a coding example of how a group of customers can be assigned to one warehouse each, considering a set of fixed warehouses with unlimited capacity. The underlying assumption is that there are no fixed costs […]

Locating warehouse at center of mass in 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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Facility allocation problems

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