A Particle Swarm Optimization for scheduling a fixed product open shop

Carlos Parra, José A. Ventura

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations


Particle Swarm Optimization (PSO) has been gaining attention in the literature due to the flexibility of the algorithm and its applicability to flow-shops, job-shops and vehicle routing problems, to name a few. In this work a PSO algorithm is utilized to solve a fixed product flexible open shop scheduling problem with transportation considerations, where K workers need to perform H tasks at each of J locations. Therefore the objective of the PSO algorithm is to assign the workers to tasks, while simultaneously routing the workers in a manner that minimizes the makespan. The algorithm must take into account the fact that traveling distances may be nontrivial and workers can be heterogeneous.

Original languageEnglish (US)
Number of pages8
StatePublished - 2013
EventIIE Annual Conference and Expo 2013 - San Juan, Puerto Rico
Duration: May 18 2013May 22 2013


OtherIIE Annual Conference and Expo 2013
Country/TerritoryPuerto Rico
CitySan Juan

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering


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