[PDF] Top 20 A Lagrangian relaxation approach to fuzzy robust multi-objective facility location network design problem
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A Lagrangian relaxation approach to fuzzy robust multi-objective facility location network design problem
... a multi-objective function optimization model for the classical Uncapacitated FLP (UFLP) in order to characterize the trade-o among economic, service, and environmental ...a multi-objective ... See full document
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A fuzzy goal programming approach to solve multi-objective supply chain network design problems Pages 315-324 Download PDF
... chain network design problem where customer demand and other input parameters are ...a multi-commodity capacitated single-period version of intermediate distribution facilities location ... See full document
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A multi-objective robust optimization model for a facility location-allocation problem in a supply chain under uncertainty
... the facility location- allocation problem under the stochastic customer demand and cost parameters to design a supply ...scenario approach. We integrated the design of a supply ... See full document
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Resilient network design in a location-allocation problem with multi-level facility hardening
... aect network elements, which may lead to network failure; thus, planners need to consider them in the network ...the network functionality is maintained after the disruption event by the ... See full document
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Closed loop supply chain network design for the paper industry: A multi-objective stochastic robust approach
... CLSC network and used a Memetic algorithm to solve ...a fuzzy multi- objective programming approach to solve the ...the fuzzy multi-objective reverse logistics ... See full document
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Improved Evolutionary Optimization Approach For Solving The Multi-Objective Facility Location Problem
... hybrid approach consists of three metaheuristic techniques which are Evolutionary Optimization with two efficient metaheuristic techniques for solving the multi-objective facility ... See full document
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A dynamic bi-objective model for after disaster blood supply chain network design; a robust possibilistic programming approach
... trapezoidal fuzzy number distribution and a robust possibilistic programming approach is applied to solve the proposed ...dynamic, multi-objective location-allocation ... See full document
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A robust approach to multi period covering location-allocation problem in pharmaceutical supply chain
... a multi-objective multi period mixed integer covering location-allocation model for pharmaceutical ...(called facility) to optimize the flow of material and make it easy the ... See full document
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Designing of Multi-Commodity, Multi Location Integrated Model for Effective Logistics Management
... different location problem ...the multi-commodity, multi-plant, capacitated facility location problem that seeks to locate a number of production plants and distribution ... See full document
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A Multi-objective Approach for Multi-commodity Location within Distribution Network Design Problem
... Facility location is and has been a well established research area within Operations Research ...consequence, facility location models have been gradually proposed within the supply chain ... See full document
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A Robust Optimization Methodology for Multi-objective Location-transportation Problem in Disaster Response Phase under Uncertainty
... One consequence of population growth in recent years is intensification of life and financial damages due to natural disasters such as earthquake, flood, storm, and terrorism. One of the main concerns about crisis have ... See full document
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Linear Fractional Programming Procedure for Multi objective linear programming problem in Agricultural System
... core objective of the problem is to maximize the profit subject to minimization of resource ...the problem changes to develop a model giving optimal profit in accordance of fulfilling resource ...of ... See full document
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Vol 9, No 7 (2018)
... olving multi-objective optimization problem in manufacturing field normally includes variety of ...a fuzzy goal such as objective functions and the objective of this company is ... See full document
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Vol 5, No 7 (2014)
... for multi-objective quadratic optimization problem (MOQOP) by using the first order Taylor polynomial series ...the objective function and constraints in the last stage of the proposed ...new ... See full document
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Modeling and Solving the Multitrip Multiobjective Pollution Routing Problem on Urban Road Networks
... the problem as a bi-objective optimization problem (11; ...routing problem (PRP) on urban road networks that not only integrates all the afore-mentioned attributes, but also considers multiple ... See full document
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Solution Procedures for Multi-Objective Intuitionistic Fuzzy Linear and Fractional Linear Programming Problems using Weighting Factor
... solved Multi-objective fuzzy linear programming problem (MOFLPP) and ...solved Multi-objective fuzzy fractional linear programming problem (MOFFLPP) using weighting ... See full document
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Fuzzy Goal Programming to Optimization the Multi-Objective Problem
... each objective. The objective function is then formulated and a solution is sought which minimizes the weighted sum of deviations from their respective ...an objective function, a set of goal ... See full document
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Application of Hybrid Genetic Algorithm for CLSC Network Design Problem in Fashion Footwear Industry—A Case Study Approach
... Staikos and Rahimifard [4] presented a case study on the footwear industry dealing with end of life product management and recovery of footwear returns. The researchers proposed a product recovery process which in- ... See full document
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Development of a Practical ERP Pre – Implementation Assessment Model for Organisations in Tanzania
... The supermatrix as partitioned matrix was developed based on the interdependent weights from pairwise comparisons of CSFs. The interdependent weights are grouped and placed in the appropriate positions to build ... See full document
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The application of multi-objective robust design methods in ship design
... particular design can be both complicated and time ...concept design models enabling both a reduction in complexity and time for ...the design space facilitating the selection of optimum or near ... See full document
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