Optimization of the aggregate production plan in the floriculture industry: Case study


Abstract:

The study was developed in a flowering company in Imbabura province in northern Ecuador, with the aim of conducting production planning to improve the level of service and productivity of the work in the company under study. The research began with the revision of models for the optimization of the Aggregate Production Plan. The diagnosis of the production system results in a service level of 78,73%, a time study degrees the standard times and the use of working hours in the operations of rose boncheo of 84,82% and in the classification and boncheo operations of flower spray of 86,23% and 76,54% respectively. It then focused on conducting the production forecast for the August-December 2020 planning period that the 74 SKU that produce and market the company, and its validation using Cronbach’s Alpha. Once the forecast was developed, the Aggregate Production Plan was developed for the growing and post-harvest areas and for the 2 families of products called roses and flower spray.

Año de publicación:

2021

Keywords:

  • Standard Times
  • Production Capacity
  • Demand Forecast
  • Aggregate Production Plan

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Agricultura
  • Ingeniería industrial
  • Ciencias Agrícolas

Áreas temáticas:

  • Dirección general
  • Huertos, frutas, silvicultura
  • Producción