MCLP Solver

The MCLP model, maximum covering location problem (MCLP), aims to Locate p facilities, and demand is covered if it is within a specified distance (time) of a facility.

The input table should contain the three types of columns: demand size (e.g., population), distance matrix to candidate facilities, and optionally a column for distance to closest required facilities.

The MCLP problem will be solved by PuLP package.

The node is based on the package PuLP and here are related tools and references:

Options

Distance columns for candidate facilities

The columns representing the distance matrix between demand lcoation to candidate facilities.

Demand size column

The column for demand size (e.g., population).

Distance column for nearest required facility

The Column indicating distance to the closest required facility.

Optimum p number

The optimum number of facilities.

Threshold

Desired threshold distance or cost.

Input Ports

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Table including a demand column and an optional distance column to the closest required facilities.

Output Ports

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Candidate column names and chosen status (1/0).

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Installation

To use this node in KNIME, install the extension Geospatial Analytics Extension for KNIME from the below update site following our NodePit Product and Node Installation Guide:

v5.2

A zipped version of the software site can be downloaded here.

Plugin provider: SDL, Harvard, Cambridge US
Plugin version: 1.3.0.202412051033
On NodePit since: 2023-12-06
Last update: 2024-12-18
KNIME versions: From v5.2 to v5.2

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