Predictive quality-aware control for scheduling of potato starch production
| Autor: | Gabriel Lodewijks, Xiao Lin, Rudy R. Negenborn |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Decision support system Starch Computer science Supply chain 0211 other engineering and technologies Scheduling (production processes) 02 engineering and technology Horticulture chemistry.chemical_compound 020901 industrial engineering & automation Model predictive control Process engineering Quality-aware modeling Potato starch 021103 operations research business.industry Postharvest scheduling Forestry Starch potatoes Starch production Computer Science Applications chemistry Perishable goods Postharvest business Agronomy and Crop Science Quality information |
| Zdroj: | Computers and Electronics in Agriculture, 150 |
| ISSN: | 0168-1699 |
| DOI: | 10.1016/j.compag.2018.04.020 |
| Popis: | Modern technologies have enabled approaches to estimate freshness of perishable products during production and distribution. This allows supply chains to apply more advanced decision support systems in order to further reduce the loss of perishable products. In this paper we focus on the postharvest scheduling of starch potatoes. In particular we propose a quality-aware scheduling method that can be used in a decision support system for starch potato postharvest operations. Considering the quality of stored potatoes in real-time, the method determines when and how many potatoes should be harvested, sent for starch production, or stored. A centralized and a distributed control strategy are developed, with the aim of minimizing total starch loss in dynamic environments. Simulation experiments illustrate how the proposed approaches deal with disturbances, and that the total starch loss can be reduced when real-time quality information of potatoes is taken into account. |
| Databáze: | OpenAIRE |
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