2011
DOI: 10.4304/jsw.6.1.83-90
|View full text |Cite
|
Sign up to set email alerts
|

Methodology of Fuzzy Linear Symmetrical Bi-level Programming and its Application in Supply Chain Management

Abstract:

Fuzzy linear symmetrical bi-level programming is the most extensive problem in multi-level programming. A new method based on tolerance degree has been introduced in this paper. The method mainly concerns the modeling of complicated Supply Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
4
0

Year Published

2013
2013
2016
2016

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(5 citation statements)
references
References 16 publications
(10 reference statements)
1
4
0
Order By: Relevance
“…[13] [14] We can see that these characteristics are entirely consistent with the interactive relationship between enterprises high-level leaders and project managers in multi-projects resources allocation problem. So building bi-level programming mathematical models of…”
Section: Introduction Of the Bi-level Programmingsupporting
confidence: 60%
“…[13] [14] We can see that these characteristics are entirely consistent with the interactive relationship between enterprises high-level leaders and project managers in multi-projects resources allocation problem. So building bi-level programming mathematical models of…”
Section: Introduction Of the Bi-level Programmingsupporting
confidence: 60%
“…Trentin et al studied the form postponement from a decision-making perspective [15]. Deng et al constructed a fuzzy bi-level programming model to describe the relationship between producing and dealing [16]. However, our study differs from their papers in some vital aspects.…”
Section: Introductionmentioning
confidence: 84%
“…Last, Ref. [16] investigates the optimal amount of production under customer demand uncertainty by means of fuzzy programming while in our research we adopt nonlinear programming.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, the use of technologies with algorithmic functionality must be employed to support the changes made in demand patterns. One solution to this is presented by Deng et al (2011) who consider using bi-level linear programming to support supply chain management. Integrating between technologies and tools to support data analysis and information can help improve decision-making processes in supply chains (Jiang and Chen 2010).…”
Section: Collaborative Operations Management and Decision-making In Smentioning
confidence: 99%