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UID:pretalx-foss4g-2022-AQYBNM@talks.staging.osgeo.org
DTSTART;TZID=CET:20220824T171500
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DESCRIPTION:**Vehicle Routing Problems (VRP)** are a class of combinatorial
  optimization problems whose purpose is to design an optimal route for a f
 leet of vehicles\, serving a set of customers\, along with satisfying cert
 ain constraints. They are NP-complete (non-deterministic polynomial) and h
 ave been a challenging problem ever since.\n\n**[pg_scheduleserv](https://
 github.com/Georepublic/pg_scheduleserv) offers an API-based solution** for
  solving scheduling problems without the need to be an expert in algorithm
 s or databases. It is a RESTful API written in Go\, built on top of [vrpRo
 uting](https://github.com/pgRouting/vrprouting). It uses [VROOM](https://g
 ithub.com/VROOM-Project/vroom) as the schedule optimization engine to incr
 ease operational efficiency in location-based processes.\n\npg_scheduleser
 v lets you create jobs\, shipments\, or vehicles in the database by ***pos
 ting JSON objects*** through HTTP requests. It enables you to obtain the o
 ptimized schedule either as a JSON object or in ***iCal format*** so that 
 the generated results can be directly used in your calendar applications.\
 n\npg_scheduleserv is easy to use and set up. By providing an API-based so
 lution\, it can be integrated into existing applications. **In this talk\,
  we present pg_scheduleserv along with a simple demo application to demons
 trate its efficiency and simplicity of usage.**
DTSTAMP:20260404T200424Z
LOCATION:General online
SUMMARY:Location-based scheduling of VRP tasks using pg_scheduleserv - Ashi
 sh Kumar
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/AQYBNM/
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