An Uncertain Aggregate Production Planning Model Considering Investment in Vegetable Preservation Technology

Joint Authors

Wang, Xiao
Ning, Yufu
Pang, Na

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

Civil Engineering

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