Polymorphic Uncertain Linear Programming for Generalized Production Planning Problems

Joint Authors

Wan, Zhong
Zhang, Xinbo
Zhang, Feng
Chen, Xiaohong

Source

Journal of Optimization

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-02-19

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Mathematics

Abstract EN

A polymorphic uncertain linear programming (PULP) model is constructed to formulate a class of generalized production planning problems.

In accordance with the practical environment, some factors such as the consumption of raw material, the limitation of resource and the demand of product are incorporated into the model as parameters of interval and fuzzy subsets, respectively.

Based on the theory of fuzzy interval program and the modified possibility degree for the order of interval numbers, a deterministic equivalent formulation for this model is derived such that a robust solution for the uncertain optimization problem is obtained.

Case study indicates that the constructed model and the proposed solution are useful to search for an optimal production plan for the polymorphic uncertain generalized production planning problems.

American Psychological Association (APA)

Zhang, Xinbo& Zhang, Feng& Chen, Xiaohong& Wan, Zhong. 2014. Polymorphic Uncertain Linear Programming for Generalized Production Planning Problems. Journal of Optimization،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1042690

Modern Language Association (MLA)

Zhang, Xinbo…[et al.]. Polymorphic Uncertain Linear Programming for Generalized Production Planning Problems. Journal of Optimization No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1042690

American Medical Association (AMA)

Zhang, Xinbo& Zhang, Feng& Chen, Xiaohong& Wan, Zhong. Polymorphic Uncertain Linear Programming for Generalized Production Planning Problems. Journal of Optimization. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1042690

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1042690