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Swarm intelligence in logistics and production planning

Swarm intelligence in logistics and production planning

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In this chapter, major contributions of swarm intelligence in the fields of logistics and production planning are discussed. Starting with a general introduction to planning problems in these fields, we outline the limitations of traditional optimization approaches and the reasons for using methods from the field of swarm intelligence such as the NP-hardness of many important problems (Section 6.1). We discuss some general aspects of utilizing swarm algorithms which can be used for optimizations problems in logistics and productions, and introduce briefly some well-established and a few newer approaches in that field (Section 6.2). After that, the most important problem types such as lot-sizing problems, scheduling problems, and vehicle routing problems are discussed including modeling aspects and results from swarm intelligence applications (Section 6.3). As a result, we see that established approaches such as particle swarm optimization and ant colony optimization are well established in these areas including various variants and improvements, which were worked out for the specific problems under consideration including hybridizations of the algorithms with other techniques. We also discuss the current situation with respect to solving such problems in real life including the future potential of including swarm intelligence in commercial solutions (Section 6.4).

Chapter Contents:

  • Abstract
  • 6.1 Introduction
  • 6.2 A brief overview of metaheuristics and swarm intelligence
  • 6.2.1 Categorization of metaheuristics
  • 6.2.2 Swarm algorithms and optimization problems
  • 6.2.3 Some selected swarm algorithms
  • 6.2.3.1 Particle swarm optimization
  • 6.2.3.2 Ant colony optimization
  • 6.2.3.3 Artificial bee colony algorithm
  • 6.2.3.4 Firefly algorithm
  • 6.2.3.5 Cuckoo search
  • 6.2.3.6 Further approaches
  • 6.3 Optimization problems in production and logistics
  • 6.3.1 Economic order quantities and lot sizes
  • 6.3.2 Scheduling problems
  • 6.3.3 Vehicle routing problems
  • 6.4 Conclusions
  • References

Inspec keywords: production planning; swarm intelligence; particle swarm optimisation; logistics; lot sizing

Other keywords: scheduling problems; lot-sizing problems; logistics; swarm intelligence applications; ant colony optimization; particle swarm optimization; vehicle routing problems; swarm algorithms; production planning

Subjects: Optimisation techniques; Systems theory applications in industry; Systems theory applications; Production management; Optimisation; Planning

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