Simulation based optimization of resource allocation and facility layout for vegetable grafting operations

Sara Masoud, Bijoy Dripta Barua Chowdhury, Young-Jun Son, Chieri Kubota, Russell E Tronstad

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Optimal facility layout planning is needed for building or retrofitting production facilities (industrial or agricultural) in order to maximize production capacity and efficiency. In labor-intensive agricultural plant production facilities, this process is especially complicated due to the uncertainties surrounding the dynamicity of workers’ performance and plant growth affected by climate conditions. In this work, a simulation-based optimization framework is developed to simultaneously find the optimal facility layout design and resource allocation applicable for vegetable grafting nurseries that involve highly labor-intensive young plant production with multiple operational stages. In particular, optimal layout algorithms are embedded within the simulation model in order to find an optimal layout design given available resources. The proposed model can be customized based on workers’ individual performance and managerial design preferences. When applied to a case study of designing a new greenhouse nursery, results reveal that our proposed framework can lead to a potential daily savings of 20.64% or $1421.44 on average in terms of labor, utility, and amortized costs.

Original languageEnglish (US)
Article number104845
JournalComputers and Electronics in Agriculture
Volume163
DOIs
Publication statusPublished - Aug 1 2019

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Keywords

  • Grafting
  • Layout
  • Resource allocation
  • Simulation-based optimization

ASJC Scopus subject areas

  • Forestry
  • Agronomy and Crop Science
  • Computer Science Applications
  • Horticulture

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