Weapon systems selection is one of the most crucial steps of a successful weapon systems acquisition process. The weapon systems selection problem is a complex decision-making problem involving multiple objectives and...
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Weapon systems selection is one of the most crucial steps of a successful weapon systems acquisition process. The weapon systems selection problem is a complex decision-making problem involving multiple objectives and multiple interactive factors. This study presents a novel integrated approach to the weapon systems portfolio selection problem. The proposed integrated approach combines fuzzy decision-making trial and evaluation laboratory (DEMATEL), fuzzy analytic network process (ANP), and fuzzy multi-objective linear programming (FMOLP). The integrated fuzzy DEMATEL-fuzzy ANP method is firstly applied to identify the weights of the criteria, and FMOLP is then used to determine the optimal weapon systems portfolio. Capabilities-based assessment (CBA) results and the traditional weapon system selection criteria are considered in the proposed approach, which yields a comprehensive set of criteria ranging from technological aspects to the factors identified through CBA. Furthermore, functional constraints are taken into account in the FMOLP phase of the procedure. Finally, the proposed approach is applied to a real-size problem to show its applicability and practicality.
Remanufacturing planning issues involve extremely complex strategic decisions within the supply chain system, especially considering the multiple products and joint components that are involved. It is very important t...
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Remanufacturing planning issues involve extremely complex strategic decisions within the supply chain system, especially considering the multiple products and joint components that are involved. It is very important to know how to determine the appropriate amounts of procurement quantity and lot size. In actual lot-sizing production-to-order problems for recoverable remanufacturing systems, input data or parameters are often imprecise or fuzzy. This work develops a fuzzy multi-objective linear programming (FMOLP) model that simultaneously minimizes total costs, lead time and CO2 emissions with reference to multiple products and joint components. The proposed model evaluates cost-effectiveness, lead time and CO2 emissions, while integrating multi-products, multi-suppliers, multi-components, joint components and multi-machines into one remanufacturing production system. The analytical results presented in this work are able to assist decision-making managers to better understand systematic analyses, and the potential for cost-effectiveness, lead time and CO2 emissions in recoverable remanufacturing planning. (C) 2017 Elsevier Ltd. All rights reserved.
This research presents a novel approach based on the fuzzy multi-objective linear programming model. We examined component design for game or animation characters to determine the best fit and the least number of comp...
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This research presents a novel approach based on the fuzzy multi-objective linear programming model. We examined component design for game or animation characters to determine the best fit and the least number of components and software tools used. When people create a game or an animated character, they can apply the proposed approach to incorporate new components into a new character quickly. The proposed approach enables designing components of game or animation characters efficiently;and reduces design and development costs.
This research presents a novel approach based on the fuzzy multi-objective linear programming model. We examined component design for game or animation characters to determine the best fit and the least number of comp...
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This research presents a novel approach based on the fuzzy multi-objective linear programming model. We examined component design for game or animation characters to determine the best fit and the least number of components and software tools used. When people create a game or an animated character, they can apply the proposed approach to incorporate new components into a new character quickly. The proposed approach enables designing components of game or animation characters efficiently; and reduces design and development costs.
The idea of this research is a novel application based on the fuzzy multi-objective linear programming model. We focus on the component design of a game or an animated character to discuss about the highest match, the...
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ISBN:
(纸本)9781467386005
The idea of this research is a novel application based on the fuzzy multi-objective linear programming model. We focus on the component design of a game or an animated character to discuss about the highest match, the least of components and software tools used. When people create a game or an animated character, they can apply the approach to combine the existed components with a new character quickly. The work is more efficient to make components of games or animated characters, and also it saves the costs of development.
The traditional frameworks for fuzzylinear optimization problems are inspired by the max-min model proposed by Zimmermann using the Bellman-Zadeh extension principle to aggregate all the fuzzy sets representing flexi...
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The traditional frameworks for fuzzylinear optimization problems are inspired by the max-min model proposed by Zimmermann using the Bellman-Zadeh extension principle to aggregate all the fuzzy sets representing flexible (fuzzy) constraints and objective functions together. In this paper, we propose an alternative approach to model fuzzy multi-objective linear programming problems (FMOLPPs) from a perspective of bipolar view in preference modeling. Bipolarity allows us to distinguish between the negative and the positive preferences. Negative preferences denote what is unacceptable while positive preferences are less restrictive and express what is desirable. This framework facilitate a natural fusion of bipolarity in FMOLPPs. The flexible constraints in a fuzzy multi-objective linear programming problem (FMOLPP) are viewed as negative preferences for describing what is somewhat tolerable while the objective functions of the problem are viewed as positive preferences for depicting satisfaction to what is desirable. This approach enables us to handle fuzzy sets representing constraints and objective functions separately and combine them in distinct ways. After aggregating these fuzzy sets separately, coherence (or consistency) condition is used to define the fuzzy decision set. (c) 2013 Elsevier B.V. All rights reserved.
This paper proposes a method for solving fuzzy multi-objective linear programming (FMOLP) problems where all the coefficients are triangular fuzzy numbers and all the constraints are fuzzy equality or inequality. Usin...
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This paper proposes a method for solving fuzzy multi-objective linear programming (FMOLP) problems where all the coefficients are triangular fuzzy numbers and all the constraints are fuzzy equality or inequality. Using the deviation degree measures and weighted max-min method, the FMOLP problem is transformed into crisp linearprogramming (CLP) problem. If decision makers fix the values of deviation degrees of two side fuzzy numbers in each constraint, then the delta-pareto-optimal solution of the FMOLP problems can be obtained by solving the CLP problem. The bigger the values of the deviation degrees are, the better the objectives function values will be. So we also propose an algorithm to find a balance-pareto-optimal solution between two goals in conflict: to improve the objectives function values and to decrease the values of the deviation degrees. Finally, to illustrate our method, we solve a numerical example. (C) 2013 Elsevier Inc. All rights reserved.
The aim of this paper is to develop an interactive two-phase method that can help the Project Manager (PM) with solving the fuzzymulti-objective decision problems. Therefore, in this paper, we first revisit the relat...
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The aim of this paper is to develop an interactive two-phase method that can help the Project Manager (PM) with solving the fuzzymulti-objective decision problems. Therefore, in this paper, we first revisit the related papers and focus on how to develop an interactive two-phase method. Next, we establish to consider the imprecise nature of the data by fulfilling the possibilistic programming model, and we also assume that each objective work has a fuzzy goal. Finally, for reaching our objective, the detailed numerical example is presented to illustrate the feasibility of applying the proposed approach to PM decision problems at the end of this paper. Results show that our model can be applied as an effective tool. Furthermore, we believe that this approach can be applied to solve other multi-objective decision making problems. (C) 2013 Elsevier Ltd. All rights reserved.
Efficient resource allocation for production and cost-effective dispatch under uncertainty is crucial for a streamlined supply chain. Traditional segregated and deterministic production–distribution models often fall...
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Environmental sustainability of a supply chain depends on the purchasing strategy of the supply chain members. Most of the earlier models have focused on cost, quality, lead time, etc. issues but not given enough impo...
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Environmental sustainability of a supply chain depends on the purchasing strategy of the supply chain members. Most of the earlier models have focused on cost, quality, lead time, etc. issues but not given enough importance to carbon emission for supplier evaluation. Recently, there is a growing pressure on supply chain members for reducing the carbon emission of their supply chain. This study presents an integrated approach for selecting the appropriate supplier in the supply chain, addressing the carbon emission issue, using fuzzy-AHP and fuzzy multi-objective linear programming. fuzzy AHP (FAHP) is applied first for analyzing the weights of the multiple factors. The considered factors are cost, quality rejection percentage, late delivery percentage, green house gas emission and demand. These weights of the multiple factors are used in fuzzy multi-objective linear programming for supplier selection and quota allocation. An illustration with a data set from a realistic situation is presented to demonstrate the effectiveness of the proposed model. The proposed approach can handle realistic situation when there is information vagueness related to inputs. (c) 2012 Elsevier Ltd. All rights reserved.
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