An Uncertain Aggregate Production Planning Model Considering Investment in Vegetable Preservation Technology. (26th June 2019)
- Record Type:
- Journal Article
- Title:
- An Uncertain Aggregate Production Planning Model Considering Investment in Vegetable Preservation Technology. (26th June 2019)
- Main Title:
- An Uncertain Aggregate Production Planning Model Considering Investment in Vegetable Preservation Technology
- Authors:
- Ning, Yufu
Pang, Na
Wang, Xiao - Other Names:
- Garg Akhil Academic Editor.
- Abstract:
- Abstract : In this paper, we study the aggregate production planning problem for vegetables within the framework of uncertainty theory. In detail, preservation technology investment is taken into consideration to reduce the deterioration rate and improve the freshness of the vegetables. Meanwhile, an expected profit model considering preservation technology investment under the capacity constraints is built, whose objective is to find the optimal yield, workforce, and preservation investment strategies. Moreover, the proposed model can be transformed into its crisp equivalent form. Finally, a numerical example is carried out to illustrate the effectiveness of the proposed uncertain aggregate production planning model.
- Is Part Of:
- Mathematical problems in engineering. Volume 2019(2019)
- Journal:
- Mathematical problems in engineering
- Issue:
- Volume 2019(2019)
- Issue Display:
- Volume 2019, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 2019
- Issue:
- 2019
- Issue Sort Value:
- 2019-2019-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-06-26
- Subjects:
- Engineering mathematics -- Periodicals
510.2462 - Journal URLs:
- https://www.hindawi.com/journals/mpe/ ↗
http://www.gbhap-us.com/journals/238/238-top.htm ↗ - DOI:
- 10.1155/2019/8505868 ↗
- Languages:
- English
- ISSNs:
- 1024-123X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 11208.xml