Multi-criterion Fuzzy Optimization Approach to Imaging from Incomplete Projections

2005 ◽  
pp. 524-527
Author(s):  
Xin Gao ◽  
Shuqian Luo
Keyword(s):  
Fuzzy Optimization ◽  
Optimization Approach ◽  
Incomplete Projections

A robust fuzzy optimization approach for reverse logistics network design with buyback offers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Masoud Amirdadi ◽  
Farzad Dehghanian
Keyword(s):  
Reverse Logistics ◽  
Fuzzy Optimization ◽  
Model Performance ◽  
Return Rate ◽  
Optimization Approach ◽  
Mathematical Methods ◽  
Content Type ◽  
Logistics Network ◽  
Reverse Logistics Network ◽  
Actual Return

Purpose In this paper, the authors aim to investigate the relationship between buyback policy and the potential number of used products that could be collected by developing a robust fuzzy reverse logistics network. Design/methodology/approach In this approach, the authors seek to determine the amount of buyback based on the condition of used products at the time of return. In this process, the authors also take into account that apart from the condition of used products, other factors exist that the actual return rate could be dependent on them. This matter propelled us to make a novel distinction between the probability of return estimated from appropriate buybacks offered to consumers, and the actual return rate of used products using fuzzy mathematical methods. Besides that, a compatible robust fuzzy optimization method has been implemented on the model to deal with uncertain properties of it and simultaneously fortifying its responses against any possible effect of return rate fluctuation. Findings To analyze and evaluate the model performance, the authors decided to apply a series of exhaustive randomly generated experiments onto it. Also, the authors introduced a Lagrangian relaxation solution methodology to facilitate and improve the solving process of the model. Then, the evaluation of the results enabled us to demonstrate the model validity, and underscore its utility to deal with problems with more sophisticated used product collection process that practitioners tend to encounter in the real-world circumstances. Originality/value This study suggests a novel way to design the return rate of used products in a reverse logistics network with buyback offers through a complete set of factors affecting it. Furthermore, the procedure of developing the model encompasses several important aspects that significantly decrease its complexity and improve its applicability.

Innovative Hybrid Genetic Algorithms and Line Search Method for Industrial Production Management

2010 ◽  
pp. 142-160 ◽  
Author(s):  
Pandian M. Vasant
Keyword(s):  
Production Management ◽  
Optimization Problems ◽  
Fuzzy Optimization ◽  
Computational Techniques ◽  
Optimization Approach ◽  
Non Linear Programming ◽  
Decision Variables ◽  
Line Search Method ◽  
Non Linear ◽  
Management Optimization

Many engineering, science, information technology and management optimization problems can be considered as non linear programming real world problems where the all or some of the parameters and variables involved are uncertain in nature. These can only be quantified using intelligent computational techniques such as evolutionary computation and fuzzy logic. The main objective of this research chapter is to solve non linear fuzzy optimization problem where the technological coefficient in the constraints involved are fuzzy numbers which was represented by logistic membership functions by using hybrid evolutionary optimization approach. To explore the applicability of the present study a numerical example is considered to determine the production planning for the decision variables and profit of the company.

Fuzzy Optimization Approach

2007 ◽  
Vol 2024 (1) ◽  
pp. 82-91 ◽  
Author(s):  
Y. Sazi Murat ◽  
Shinya Kikuchi
Keyword(s):  
Fuzzy Optimization ◽  
Optimization Approach

A Fuzzy-Optimization Approach to Dynamic Economic Dispatch Considering Uncertainties

2004 ◽  
Vol 19 (3) ◽  
pp. 1299-1307 ◽  
Author(s):  
P. Attaviriyanupap ◽  
H. Kita ◽  
E. Tanaka ◽  
J. Hasegawa
Keyword(s):  
Economic Dispatch ◽  
Fuzzy Optimization ◽  
Optimization Approach ◽  
Dynamic Economic Dispatch

Supply chain outsourcing risk using an integrated stochastic-fuzzy optimization approach

2013 ◽  
Vol 235 ◽  
pp. 242-258 ◽  
Author(s):  
Dexiang Wu ◽  
Desheng Dash Wu ◽  
Yidong Zhang ◽  
David L. Olson
Keyword(s):  
Supply Chain ◽  
Fuzzy Optimization ◽  
Optimization Approach

scholarly journals Application of Two-Phase Fuzzy Optimization Approach to Multiproduct Multistage Integrated Production Planning with Linguistic Preference under Uncertainty

2015 ◽  
Vol 2015 ◽  
pp. 1-20 ◽  
Author(s):  
Shan Lu ◽  
Hongye Su ◽  
Lian Xiao ◽  
Li Zhu
Keyword(s):  
Production Planning ◽  
Programming Model ◽  
Fuzzy Optimization ◽  
Service Level ◽  
Mixed Integer ◽  
Planning Problem ◽  
Optimization Approach ◽  
Two Phase ◽  
Steel Rolling ◽  
Solution Approach

This paper tackles the challenges for a production planning problem with linguistic preference on the objectives in an uncertain multiproduct multistage manufacturing environment. The uncertain sources are modelled by fuzzy sets and involve those induced by both the epistemic factors of process and external factors from customers and suppliers. A fuzzy multiobjective mixed integer programming model with different objective priorities is proposed to address the problem which attempts to simultaneously minimize the relevant operations cost and maximize the average safety stock holding level and the average service level. The epistemic and external uncertainty is simultaneously considered and formulated as flexible constraints. By defining the priority levels, a two-phase fuzzy optimization approach is used to manage the preference extent and convert the original model into an auxiliary crisp one. Then a novel interactive solution approach is proposed to solve this problem. An industrial case originating from a steel rolling plant is applied to implement the proposed approach. The numerical results demonstrate the efficiency and feasibility to handle the linguistic preference and provide a compromised solution in an uncertain environment.

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