Evaluation of simulation-based optimization in grafting labor allocation

S. Masoud, Y. J. Son, C. Kubota, R. Tronstad

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


Vegetable grafting is a labor-intensive operation with many management decisions. Labor management and resource planning are critical allocations in grafting nurseries, yet optimization is challenging due to the dynamic nature of workers’ performance in vegetable seedling propagation. To this end, we developed a simulation-based optimization framework for labor management to optimize labor allocation. This approach was evaluated by comparing its result with those suggested by selected domain experts (a plant scientist and a nursery manager). Furthermore, the simulation models were validated with a dataset from a developing tomato grafting company. Simulation-based optimization is demonstrated as an effective approach to find the optimal/near optimal labor allocation for horticultural nurseries, where discrete event simulation is used to represent the dynamics of the grafting work environment and meta-heuristics are used to devise optimal/ near optimal resource allocation strategies. Results reveal that a potential annual savings between $2,510 (0.6%) and $97,388 (20%) can be achieved for a grafting facility of 6 million plants per year.

Original languageEnglish (US)
Pages (from-to)479-489
Number of pages11
JournalApplied Engineering in Agriculture
Issue number3
StatePublished - 2018


  • Discrete event simulation
  • Grafting
  • Labor allocation
  • Simulation-based optimization

ASJC Scopus subject areas

  • Engineering(all)


Dive into the research topics of 'Evaluation of simulation-based optimization in grafting labor allocation'. Together they form a unique fingerprint.

Cite this