Recycler Selection Using Fuzzy AHP by Considering Sustainability

2013 ◽  
Vol 845 ◽  
pp. 574-578
Author(s):  
Ghazal Khodaei ◽  
Kuan Yew Wong ◽  
Manoj Kumar Tiwari
Keyword(s):  
Fast Food ◽  
Selection Criteria ◽  
Fuzzy Ahp ◽  
Critical Issue ◽  
Third Party ◽  
Fast Food Restaurant ◽  
Trade Off ◽  
Ahp Model ◽  
Sustainability Criteria

Nowadays, through greater awareness of protecting the environment and sustainable development in organizations, the importance of recycling and returning of used product has increased in supply chain management. Selecting an appropriate recycler is a critical issue in an organization and it needs to trade off between multiple criteria. Selection criteria are related to organizational circumstances and they may be qualitative or quantitative with complexity and uncertainty in their nature. The purpose of this study is to determine the sustainability criteria for recycler selection and to suggest a fuzzy AHP model for choosing the best third party recycler. A comprehensive methodology is illustrated using a case study of a fast food restaurant chain in Malaysia.

Affecting Factors of Knowledge-Based Companies Using Fuzzy AHP Model, Case Study Tehran University Enterprise Park

2018 ◽  
Vol 11 (2) ◽  
pp. 574-592 ◽  
Author(s):  
Elham Amini ◽  
Mohammad Baniasadi ◽  
Hossein Vahidi ◽  
Hossein Nematollahi ◽  
Mehrdad Khatami ◽  
...  
Keyword(s):  
Fuzzy Ahp ◽  
Affecting Factors ◽  
Model Case ◽  
Ahp Model ◽  
Knowledge Based

scholarly journals FACTORS WHICH INFLUENCE LIQUID ASSETS IN SHARIA BANKS: A CASE STUDY OF PT BANK SYARIAH MANDIRI 2016-2017

2020 ◽  
Vol 9 (2) ◽  
pp. 133
Author(s):  
Taryana Harun
Keyword(s):  
Financial Market ◽  
Market Access ◽  
Third Party ◽  
Liquidity Management ◽  
Reserve Requirement ◽  
Trade Off ◽  
Independent Variables ◽  
Dual Regression ◽  
Lost Opportunity

Banks manage liquidity carefully because of differences in fund tenor collected and channeled. Meanwhile, at the same time, it must fulfill transaction needs, reserve requirement, current liabilities, and be cautious in facing sudden liquidity needs. Therefore, bankshold a sufficient amount of liquid assets. Liquidity management tends to be a trade-off. On one side, insufficient liquid assets can cause banks to be unable to carry out transactions with its customers or fulfill its maturity obligations. On another side, high liquid assets can result in a lost opportunity, because the liquid assets do not provide a return. The purpose of this research is to analyze what factors influence the level of banks liquid assets. This research was conducted using a dual regression model to analyze the variables studied, with a case study of PT Bank Syariah Mandiri from 2016-2017.The dependent variable was the level of liquid assets. Meanwhile, the independent variables were the amount of third party funds, financing growth, financial market access between banks, current liabilities, and previous month profit. The research results reveal that two variables are statistically significant towards bank liquid assets, which are third-party funds and previous month profit. Third-party funds and previous month profit have a positive and significat influence towards liquid assets. Meanwhile, the other variables do not significantly determined liquid assets.

The Influence of Defuzzification Methods to Decision Support Systems Based on Fuzzy AHP with Scattered Comparison Matrix: Application to 3PLP Selection as a Case Study

2018 ◽  
Vol 26 (03) ◽  
pp. 475-491 ◽  
Author(s):  
Danijela Tuljak-Suban ◽  
Patricija Bajec
Keyword(s):  
Fuzzy Ahp ◽  
Third Party ◽  
Third Party Logistics ◽  
Analytic Hierarchy ◽  
The Third Party Logistics ◽  
Comparison Matrix ◽  
Improper Use ◽  
Definition Of ◽  
Hierarchy Process

The Analytic Hierarchy Process (AHP) is, in literature, the most frequently used selection method generally in association with fuzzy logic. In this article some incongruities in the use of fuzzy AHP detected in the literature are presented such as improper use of the defuzzification methods and weak consistency checks of the comparison matrix that in case of scattered comparison matrix could produces results that are clearly a contradiction. We demonstrate how even a careful definition of the third party logistics providers (3PLP) selection criteria may lead to improper results, if the appropriate methods of defuzzification are not used and the concept of “vague” is not well interpreted, both in the comparison phase and in the calculation phase.

Sustainability trade-offs in the spatial allocation of future onshore wind generation capacity – an empiric case study for Germany

2020 ◽  
Author(s):  
Philip Tafarte ◽  
Paul Lehmann
Keyword(s):  
Wind Power ◽  
Wind Turbines ◽  
Paired Comparison ◽  
Spatial Allocation ◽  
Onshore Wind ◽  
Trade Off ◽  
Sustainability Criteria ◽  
Trade Offs ◽  
Generation Capacity

<p><strong>Sustainability trade-offs in the spatial allocation of future onshore wind generation capacity – an empiric case study for Germany</strong></p><p><strong>Abstract</strong></p><p>The expansion of renewable energies is a key requirement to the global climate protection efforts. However, renewables themselves can be associated with negative local effects. A prominent example is the deployment of wind energy. Different sustainability criteria – e.g. the mitigation of adverse impacts on human health and ecosystems and the generation costs for renewable electricity from wind power, may call for different spatial allocations of wind turbines. As the optimal siting of wind turbines differs with regard to the individual sustainability criteria, this can imply trade-offs between the different sustainability criteria.<br>Therefore we developed an approach to identify and quantify how significant these trade-offs potentially are and to what extent they depend on the spatial allocation of wind turbines as well as on the overall level of wind power deployment.<br>Based on a spatially explicit GIS modelling using high resolution wind speed, settlement and ecological data for Germany, we calculate the potential trade-offs. Using a set of more than 100,000 technically and legally potential sites for modern wind turbines across Germany in a greenfield approach, the numerical optimization of these data identifies on the one hand optimal sites for each sustainability criteria in an expansion scenario for 2030. These different optimal spatial allocations can then be compared against each other for a basic trade-off analysis. Additionally, the trade-off analysis can be elaborated by the calculation of pareto-frontiers as well as a Gini-like coefficient that quantifies the potential trade-off between sustainability criteria in a paired comparison of sustainability criteria. <br>The results show that trade-offs are inevitable giving the required and projected capacity expansion for onshore wind power. But the potential trade-offs among the different sustainability criteria differ significantly with Gini-like coefficients ranging from 0.13 up to 0.69 for depending on the selected criteria in a paired comparison. This underlines that the approach and the obtained results are highly relevant for the management of sustainability trade-offs in future.</p><p>In general, the developed approach covers multiple relevant criteria and provides a framework for the empirical analysis and assessment of trade-offs associated with any spatially relevant energy-infrastructure and sustainability criteria. The approach can also be transferred to other application where trade-offs between different sustainability criteria have to be investigated and managed. And finally, as performed for the case study region of Germany, the obtained results can likewise be reintroduced and visualized using GIS in order to verify and further assess the spatially explicit results.</p><p> </p><p>Index Terms:  spatial planning, trade-offs, wind energy, GIS applications, integrated assessment, allocation optimization</p>

A Fuzzy AHP Model for 3PL Selection in Lead Logistics Provider Scenarios

2010 ◽  
pp. 261-277 ◽  
Author(s):  
Rajbir Singh Bhatti ◽  
Pradeep Kumar ◽  
Dinesh Kumar
Keyword(s):  
Service Providers ◽  
Fuzzy Ahp ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Decision Factors ◽  
Proposed Model ◽  
Using Data ◽  
Hierarchy Process ◽  
Selection Of

Selection of service providers in the global supply chains of today has been recognized as having a very important effect on the competitiveness of the entire supply chain. It results in achieving high quality end results (products and/or services), at reasonable cost coupled with high customer satisfaction. This article discusses the use of Fuzzy Analytic Hierarchy Process (FAHP) to effectively manage the qualitative and quantitative decision factors which are involved in the selection of providers of 3PL services under Lead Logistics Provider (LLP) environments of today. Lead logistics providers (LLP) are increasingly being banked upon to integrate the best of 3PL service providers and allow for synchronized and optimized operations. In the asset free environments of today, many a times, the LLP uses the services of the 3PL and hence the issue of reliably choosing them assumes increasingly greater significance. The fuzzy-AHP has been adequately demonstrated in literature to be an effective tool which can be used to factor-in the fuzziness of data. Triangular Fuzzy Numbers (TFN) have been deployed to make over the linguistic comparisons of criteria, sub-criteria and the alternatives. The FAHP based model formulated in this chapter is applied to a case study in the Indian context using data from three leading LSPs with significant operating leverages in the province of Uttrakhand (India). The proposed model can provide the guidelines and directions for the decision makers to effectively select their global service providers in the present day competitive logistics markets.

Index design and safety evaluation of pesticides application based on a fuzzy AHP model for beverage crops: tea as a case study

2019 ◽  
Vol 76 (2) ◽  
pp. 520-526 ◽  
Author(s):  
Zongmao Chen ◽  
Li Zhou ◽  
Mei Yang ◽  
Fengjian Luo ◽  
Zhengyun Lou ◽  
...  
Keyword(s):  
Fuzzy Ahp ◽  
Safety Evaluation ◽  
Ahp Model
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