A work processes optimization model in tomato packing-houses. Academic Article uri icon


  • Abstract: In Israel, 3600 ha are allocated to growing tomatoes for the fresh-produce markets. This cultivar requires extensive manual labor which impedes the reduction of costs and improvement of working efficiency. Work study elements of the packing process were defined and data were collected according to work measurements techniques. A simulation model was developed to represents the packing-house's current state and to compare between work methods using data from the work study measurements. The model was validate, using visual analysis and statistical tests (T-Test, Kleijnen Test), the simulated alternatives were compared to find a work method that yields less process cycle time. An optimization model was developed in order to evaluate the number of workers in each station. The model output can be aimed for maximum daily yield, minimum time or …

publication date

  • January 1, 2008