[PDF] Top 20 Chance Constrained Multi-objective Programming for Supplier Selection and Order Allocation under Uncertainty

Chance Constrained Multi-objective Programming for Supplier Selection and Order Allocation under Uncertainty

... generated under normality ...each supplier) Cost mean 15 Quality percentage 15 Lead time mean and variable 15 ...The objective of the experiment is to evaluate the effectiveness of the proposed model ... See full document

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Enhancement fuzzy goal programming approach for multi item/ multi supplier selection problem ina fuzzy environment

... Supplier selection is complicated real world problem due to the ambiguity, uncertainty, imprecise, and vagueness of the data, and is considered as the main concern of modern companies in highly ... 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

... chain under uncertain customer demands and cost ...first objective aims to minimize the total cost of a supply chain including raw material costs, transportation costs and establishment costs of ...This ... See full document

12

A novel robust chance constrained possibilistic programming model for disaster relief logistics under uncertainty Pages 649-670 Download PDF

... 1.The uncertainty in relief supply caused by the delays in the supplier deliveries, unknown usable resources due to the roads and the building's destruction, and the unpredictable involvement and ... See full document

22

Optimization of a dynamic supply portfolio considering risks and discount’s constraints

... for supplier selection and applied it for a TFT-LCD manufacturer as a case ...fuzzy multi-objective programming for supplier selection with considering quantitative ... See full document

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The green supplier selection and order allocation in the supply chain under stochastic conditions

... statement supplier selection is an essential factor in the firm's ...best supplier selection in fuzzy environment and allocates optimum quantity order to each supplier ... See full document

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Application of multi-objective optimization based on genetic algorithm for sustainable strategic supplier selection under fuzzy environment

... the supplier choice ...this uncertainty and imprecision by using fuzzy theory (Amid, Ghodsypour & Brien, 2006; Kumar, Vrat & Shankar, ...most supplier selection techniques covered in ... See full document

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Project selection problem under uncertainty: An application of utility theory and chance constrained programming to a real case Pages 373-385 Download PDF

... Although PSP has been recognized as a multiobjective problem (Ghorbani & Rabbani, 2009; Rabbani et al., 2010) and the DM may wish to simultaneously satisfy several possibly conflicting corporate goals (e. g. ... See full document

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Multi Objective Fuzzy Chance Constrained Fuzzy Goal Programming for Capacitated Transportation Problem

... goal programming (FGP) and GP is that in GP there are definite aspiration values for each objective set by DM that he/she wishes to achieve, whereas in FGP aspiration levels are imprecise in ...goal ... See full document

6

Gamma distribution approach in chance constrained stochastic programming model

... goal programming and chance-constraint linear goal ...the programming based on probability for the control of nitrate pollution in their studies and compared this with the approaches of various ... See full document

13

The Decision-Making Support For Production Planning & Supplier Selection Under Probabilistic Environment Using Bi-Objective Programming: A Single Period Case

... and supplier selection problem with some uncertain ...probabilistic programming with the uncertain parameter approached as a random ...two objective functions were optimized in the model and ... See full document

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A new approach for solving fuzzy multi-objective quadratic programming of water resource allocation problem

... resource allocation problems as mathematical optimization ...resource allocation to the agricultural sector in Sefidrood Basin in northern Iran as a linear programming model with net economic benefit ... See full document

25

Evaluating decision making units under uncertainty using fuzzy multi objective nonlinear programming

... Model 4: Fuzzy CCR-DEA, using α-cut approach, interval programming.. As it is shown in Saati et al.[r] ... See full document

27

Fuzzy Goal Programming Approach in Selective Maintenance Reliability Model

... compromise allocation of maintenance components is formulated as multi-objective Nonlinear Programming Problem (MONLPP) and a Fuzzy goal programming method is used to work out the ... See full document

11

Multi objective optimisation in inventory planning with supplier selection

... As a sample, we plotted the pareto-front achieved by each MOEA on one small and one relatively large arbitrarily chosen instances of Inst1 (Figure 5(a)) and Inst19 (Figure 5(b)). As it can be observed from Figure 5(a), ... See full document

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Dependent chance goal programming model for multi-objective interval solid transportation problem in stochastic environment

... Dependent Chance Goal Programming Model (DCGPM) is mainly focused on the classical Multi-Objective Solid Transportation Problem (MOSTP), where the multiple interval objective functions ... See full document

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Order allocation in a multi-supplier environment: review of the literature since 2007

... Various conclusions may be drawn from this overview of the state of the art. The most significant conclusion is the absence of an overall order allocation model in a multi-supplier ... See full document

10

Chance Constrained Approaches for Multiobjective Stochastic Linear Programming Problems

... Problem to be solved to single out a satisfying solution (in the sense of definitions given in, §2 for (P1) are (P2)', (P3)' and (P4)' depending on the type of solution chosen. (P2)' and (P4)' are standard mathematical ... See full document

8

Bounded Approximations for Linear Multi-Objective Planning Under Uncertainty

... In order to test the performance of AOLS and SSII in terms of runtime and solution quality, we apply these algorithms to the MPP domain. We take moderately sized instances so that it is possible to find the exact ... See full document

9

A Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi Objective Programming

... Abstract In this paper, we present an algorithm to solve the inequality constrained multi-objective programming MP by using a penalty function with objective parameters and constraint pe[r] ... See full document

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