A plant factory is a crop production facility in which all the environmental elements such as temperature, humidity, lighting, and nutrition for plant growth are artificially controlled. The operating cost of plant factories is usually high due to intensive energy consumption. It is crucial to choose appropriate crops for cultivation at proper time for revenue maximization. In this research, we propose a crop scheduling approach for plant factories. The proposed approach considers several factors which impacts the revenue of running plant factory, such as crop price fluctuation, crop contracting supply between plant factories and retailers, and operating setup for crop cultivation. The crop scheduling is formulated as a mixed integer programming problem and is solved using branch-and-bound algorithms. The proposed approach can be incorporated into any plant factory to increase its production and revenue.
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A plant factory is a crop production facility in which all the environmental elements such as temperature, humidity, lighting, and nutrition for plant growth are artificially controlled. The operating cost of plant factories is usually high due to intensive energy consumption. It is crucial to choose appropriate crops for cultivation at proper time for revenue maximization. In this research, we propose a crop scheduling approach for plant factories. The proposed approach considers several factors which impacts the revenue of running plant factory, such as crop price fluctuation, crop contracting supply between plant factories and retailers, and operating setup for crop cultivation. The crop scheduling is formulated as a mixed integer programming problem and is solved using branch-and-bound algorithms. The proposed approach can be incorporated into any plant factory to increase its production and revenue.
Yulius H., S.Kom, M.Kom, MBA.is graduated from Institut Teknologi Sepuluh November and National Taiwan University of Science and Technology. Currently become a lecturer at Widya Kartika University Indonesia.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A plant factory is a crop production facility in which all the environmental elements such as temperature, humidity, lighting, and nutrition for plant growth are artificially controlled. The operating cost of plant factories is usually high due to intensive energy consumption. It is crucial to choose appropriate crops for cultivation at proper time for revenue maximization. In this research, we propose a crop scheduling approach for plant factories. The proposed approach considers several factors which impacts the revenue of running plant factory, such as crop price fluctuation, crop contracting supply between plant factories and retailers, and operating setup for crop cultivation. The crop scheduling is formulated as a mixed integer programming problem and is solved using branch-and-bound algorithms. The proposed approach can be incorporated into any plant factory to increase its production and revenue. 72 pp. Englisch. N° de réf. du vendeur 9783659974854
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hari YuliusYulius H., S.Kom, M.Kom, MBA.is graduated from Institut Teknologi Sepuluh November and National Taiwan University of Science and Technology. Currently become a lecturer at Widya Kartika University Indonesia.A plant fac. N° de réf. du vendeur 158431172
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A plant factory is a crop production facility in which all the environmental elements such as temperature, humidity, lighting, and nutrition for plant growth are artificially controlled. The operating cost of plant factories is usually high due to intensive energy consumption. It is crucial to choose appropriate crops for cultivation at proper time for revenue maximization. In this research, we propose a crop scheduling approach for plant factories. The proposed approach considers several factors which impacts the revenue of running plant factory, such as crop price fluctuation, crop contracting supply between plant factories and retailers, and operating setup for crop cultivation. The crop scheduling is formulated as a mixed integer programming problem and is solved using branch-and-bound algorithms. The proposed approach can be incorporated into any plant factory to increase its production and revenue. N° de réf. du vendeur 9783659974854
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Paperback. Etat : Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock. N° de réf. du vendeur __3659974854
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -A plant factory is a crop production facility in which all the environmental elements such as temperature, humidity, lighting, and nutrition for plant growth are artificially controlled. The operating cost of plant factories is usually high due to intensive energy consumption. It is crucial to choose appropriate crops for cultivation at proper time for revenue maximization. In this research, we propose a crop scheduling approach for plant factories. The proposed approach considers several factors which impacts the revenue of running plant factory, such as crop price fluctuation, crop contracting supply between plant factories and retailers, and operating setup for crop cultivation. The crop scheduling is formulated as a mixed integer programming problem and is solved using branch-and-bound algorithms. The proposed approach can be incorporated into any plant factory to increase its production and revenue.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. N° de réf. du vendeur 9783659974854
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Taschenbuch. Etat : Neu. Crop Scheduling for Plant Factory to Increase Productivity | Yulius Hari (u. a.) | Taschenbuch | 72 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659974854 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 107817413
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