Polymorphic Uncertain Linear Programming for Generalized Production Planning Problems
Joint Authors
Wan, Zhong
Zhang, Xinbo
Zhang, Feng
Chen, Xiaohong
Source
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
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