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An Uncertain Aggregate Production Planning Model Considering Investment in Vegetable Preservation Technology
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Ning, Yufu& Pang, Na& Wang, Xiao. 2019. An Uncertain Aggregate Production Planning Model Considering Investment in Vegetable Preservation Technology. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1197692
Modern Language Association (MLA)
Ning, Yufu…[et al.]. An Uncertain Aggregate Production Planning Model Considering Investment in Vegetable Preservation Technology. Mathematical Problems in Engineering No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1197692
American Medical Association (AMA)
Ning, Yufu& Pang, Na& Wang, Xiao. An Uncertain Aggregate Production Planning Model Considering Investment in Vegetable Preservation Technology. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1197692
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197692