Assessing the Impact of Pumpkins Plantation, Harvest and Storage Decisions on a Collaborative Supply Chain with Data Analysis Tools
| Autor: | David Pérez, Cécile Guyon, Maria Angeles Rodriguez, Angel Ortiz |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Process (engineering) Computer science Yield (finance) media_common.quotation_subject Supply chain 01 natural sciences Pumpkins Collaborative decision-making 0404 agricultural biotechnology Production (economics) Quality (business) Plantation harvest and storage process media_common 2. Zero hunger Data analysis tools 04 agricultural and veterinary sciences 15. Life on land Environmental economics 040401 food science Group decision-making Work (electrical) ORGANIZACION DE EMPRESAS Yield-conservation time tradeoff Analysis tools 010606 plant biology & botany |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname Boosting Collaborative Networks 4.0 ISBN: 9783030624118 PRO-VE RiuNet: Repositorio Institucional de la Universitat Politécnica de Valéncia Universitat Politècnica de València (UPV) |
| Popis: | [EN] Successful pumpkins production requires the use of varieties that jointly with other factors yield well and produce pumpkins of the size, shape, color, and quality demanded by the market. But not only these issues are important. The perishable nature of pumpkins makes other issues such as how to prevent deterioration after harvest to become also relevant. In this paper the pumpkins plantation, harvest and storage (PHS) process is described and how some decisions affect certain goals, such as yield or conservation time. Additionally, some decision-making insights in a supply chain collaborative scenario made up of two stages: plantation/harvest and storage are given, where yield and conservation time trade-offs are outlined to develop win-win strategies. A real case using data analysis tools is analyzed. Results provide guidelines not only to make decisions independently on each stage but also to collaboratively work. The authors acknowledge the support of the project 691249, RUCAPS: "Enhancing and implementing knowledge based ICT solutions within high risk and uncertain conditions for agriculture production systems", funded by the European Union's research and innovation programme under the H2020 Marie Skodowska-Curie Actions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|