Selection of PPP program models based on ecological compensation in the Chishui Watershed

Water Policy ◽  
2019 ◽  
Vol 21 (3) ◽  
pp. 582-601 ◽  
Author(s):  
Conglin Zhang ◽  
Yongzhan Liang ◽  
Zhou Huang ◽  
Haijuan Qiao ◽  
Shuang Zhang
Keyword(s):  
Structural Model ◽  
Indicator System ◽  
Ecological Impacts ◽  
Suitable Model ◽  
Ecological Compensation ◽  
Analytic Hierarchy ◽  
Compensation Mechanisms ◽  
The Right ◽  
Hierarchy Process ◽  
Selection Of

Abstract Choosing the right structural model for projects in various fields has become an important subject of research, and adopting a suitable model has been recognized as crucial to a project's success. For public–private partnership (PPP) programs involving ecological compensation in the Chishui Watershed, implementers are required to give extensive considerations to balancing economic, societal, and ecological impacts and benefits, connected to numerous stakeholders. Any program model choice is made difficult by various influencing factors introduced by these stakeholders. This paper examines models of PPP eco-compensation programs in the Chishui Watershed, a region that faces an acute conflict between protection and growth, and is in urgent need of eco-compensation mechanisms. For this purpose, we have developed an indicator system with three hierarchical levels containing, respectively, two, five, and 18 indicator items. A list of feasible PPP models are chosen based on existing programs in the region. Analytic hierarchy process (AHP)/fuzzy analysis is used to establish an integrated decision-making framework. The suitability of the models in each field can then be ranked by their integrated decision score. The differences between models are also analyzed to find the main limiting indicators on PPP programs.

Selection of Outsourcing Supplier Based on AHP

2012 ◽  
Vol 490-495 ◽  
pp. 2921-2925 ◽  
Author(s):  
Wen Li Geng ◽  
Ying Song Hu
Keyword(s):  
Decision Making ◽  
Common Factors ◽  
Analysis Method ◽  
Consistency Check ◽  
Analytic Hierarchy ◽  
Quantitative Analysis Method ◽  
The Common ◽  
The Right ◽  
Hierarchy Process ◽  
Selection Of

With the development of the economy and society, more and more enterprises outsource the procuring of services or products from an outside supplier or manufacturer in order to cut costs. To realize outsourcing, the outsourcing needer must choose the supplier carefully, so the method that how to choose the right supplier to realize the outsourcing is particularly important. Lots of factors should be taken into account, but the common factors are cost, quality, additional resources, prior works and contract terms. With the qualitative analysis and quantitative analysis method of analytic hierarchy process, put forward the model of the outsourcing. The model includes three aspects: objective layer, criterion layer and alternative layer. The objective layer is the aim of select supplier; the criterion layer is the factors which affect the choice and the alternative layer is the different selectable enterprise. After calculating the synthetic level value to order in single level and whole system and though the consistency check, eventually got the different weights of different alternations, it can provides direct basis for the decision-making, that is, the enterprise which has the biggest weight of the choice should be placed ahead of the others.

scholarly journals Evaluation of Unit Canteen Suppliers Based on Entropy Method and Analytic Hierarchy Process

2020 ◽  
Vol 218 ◽  
pp. 03054
Author(s):  
Mian Fu ◽  
Dandan Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Indicator System ◽  
Entropy Method ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Object A ◽  
Entropy Weight Method ◽  
Countermeasures And Suggestions ◽  
Hierarchy Process ◽  
Selection Of

With the selection of canteen suppliers as the research object, a canteen supplier evaluation indicator system with four primary indicators and 15 secondary indicators is established in this paper by analyzing the key factors influencing the selection of canteen supplier. At the same time, a case study of four food suppliers of a unit canteen in Hefei, Anhui Province is conducted by comprehensive use of analytic hierarchy process (AHP) and entropy weight method, and some relevant countermeasures and suggestions are proposed.

scholarly journals The Management Strategy of Marketing Mix of Pineapple Chips in Kampar District, Riau Province, Indonesia: A Structural Model Approach

2017 ◽  
Vol 5 (1) ◽  
pp. 24
Author(s):  
Roza Yulida ◽  
Jum’atri Yusri ◽  
Novia Dewi ◽  
Yulia Andriani
Keyword(s):  
Structural Model ◽  
Marketing Mix ◽  
Survey Method ◽  
Product Price ◽  
Analytic Hierarchy ◽  
Institutional Strengthening ◽  
Hierarchy Process ◽  
Selection Of ◽  
Model Approach

The Management of marketing mix in agro-industry business of pineapple chips need to increase the volume of sales and customer loyalty. This research aims to (1) analyze the variable/ attribute lever in the management of the marketing mix of pineapple chips, and (2) formulating marketing strategy of pineapple chips. This research used survey method. The Selection of respondents in this research is intentional (purposive sampling). The determination of respondents based on the expertise and their role in policy-making related to the agroindustry of pineapple chips. Data analysis used prospective analysis and Analytic Hierarchy Process/AHP. The Results of analysis showed that the determinants of the management of the marketing mix of pineapple chips consists; the dimensions of the product, price, promotion, and distribution. Attributes that are included in the driving variables consists of; products that always available, distribution in craftsmen kiosks, available in souvenir outlets, available anywhere, and promotions through packaging. The attributes are located in quadrant I, which have strong influence and dependence among low attributes. The direction of development of marketing policy of pineapple chips, alternatives include; Alternative I is the institutional strengthening of marketing and alternative II, is the development of the marketing mix.

scholarly journals Multi-criteria for Selection of SmartPhone Brands Product using AHP-TOPSIS Method

SinkrOn ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 154 ◽  
Author(s):  
Akmaludin Akmaludin ◽  
Mohammad Badrul
Keyword(s):  
Topsis Method ◽  
Analytic Hierarchy ◽  
Highest Weight ◽  
Calculation Process ◽  
Overall Performance ◽  
The Right ◽  
Hierarchy Process ◽  
Brand Product ◽  
Criteria For Selection ◽  
Selection Of

Today's communication is very important to do, this can be done by using communication tools that are currently being used by everyone, none other than SmartPhone, so people are competing to get it. Many found difficulties in choosing a SmartPhone Brand Product that suits the wishes of each user from a number of alternatives such as Advance, Xiaomi, OPPO, SAMSUNG, and VIVO, because many criteria must be considered such as memory capacity, battery durability, sharpness of capture camera, the form of design producy, the number of features produced from the product, which is equally important is the overall performance of the product. This difficulty is a general matter discussed by each user, because it requires the best solution that can be used to solve the problem. One method that can be used to select the right SmartPhone is the Analytic Hierarchy Process (AHP) method combined with the TOPSIS method. In this case AHP is used to determine the preference quantity in weighting and TOPSIS is used for mathematical detailed calculations of a number of criteria specified in ranking from a number of alternatives. The results obtained based on the mathematical calculation process are the first rank brand products with the highest weight of 0.597 from SAMSUNG, followed by a weight of 0.586 from OPPO, then weighing 0.555 from Advance, then weighing 0.511 from VIVO, and the smallest weight 0.491 from Xiaomi.

Study on Selection of Alliance Cooperation Partner of Freight Transport on a Special Route

2014 ◽  
Vol 587-589 ◽  
pp. 1761-1765
Author(s):  
Hai Cheng Wang ◽  
Cai Yun Zhou
Keyword(s):  
Analytic Hierarchy Process ◽  
Process Model ◽  
High Efficiency ◽  
Indicator System ◽  
Freight Transport ◽  
Analytic Hierarchy ◽  
Cooperation System ◽  
Hierarchy Process ◽  
Cooperation Partner ◽  
Selection Of

Enterprises of freight transport on a special route have to own alliance cooperation system with high efficiency in order to build alliance of freight transport. Selecting cooperative partners is the basis for establishing an efficient transportation system. The paper firstly analyzes the principle of selecting cooperative partners of freight transport alliance on a special route, summarizes the indicator system of selecting cooperative partners of freight transport alliance on a special route, establishes analytic hierarchy process model and finally proves the model with examples.

DETERMINING THE DESALINATION UNIT COMPOSITION FOR COSTAL AREAS AND SMALL ISLANDS USE ANALYTIC HIERARCHY PROCESS

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Imam Setiadi ◽  
Dinda Rita K. Hartaja
Keyword(s):  
Analytic Hierarchy Process ◽  
Energy Demand ◽  
Pairwise Comparison ◽  
Small Islands ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Comparison Research ◽  
Hierarchy Process ◽  
Selection Of

Selection of the appropriate composition desalination units can be done with a variety of method approaches, one of the method is the Analytic Hierarchy Process. In determining the desalination unit with AHP method to consider is setting a goal, an alternative criteria and pairwise comparison. Research for the determination of the exact composition of the desalination unit in order to achieve sustainable drinking water suppy in coastal areas and small islands has been conducted. The results of the study are as follows, the energy demand of 50.83%, operator costs of 26.64%, maintenance costs of 14.13% and chemical requirement 8.4%. For an alternative composition desalination unit of RO 10 m3 / day is the best alternative composition with value of 59.61%, the composition of the next alternative is RO 20 m3/ day of 30.40% and the last alternative of the desalination unit composition is RO 120 m3/ day of 09.99%.Key words : Desalination, Mukti Stage Flash Composition, AHP

SELEKSI ASISTEN PELATIH BELA DIRI DENGAN PERBANDINGAN METODE AHP (Analytic Hierarchy Process) DAN METODE SAW (Simple Additive Weighting)

2016 ◽  
Vol 1 (1) ◽  
pp. 088
Author(s):  
Wahyu Joni Kurniawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Analytic Hierarchy ◽  
Assistant Coach ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Selection Of ◽  
Discipline Knowledge

This study was conducted to assist in the selection of martial assistant coach, to determine who is right. Its results will didadaptkan by comparing the two methods in the decision support system, by using the Analytic Hierarchy Process (AHP) and the Simple Additive Weight (SAW) in limiting the problems in producing the desired solution, using multiple criteria (multi-criteria). AHP and SAW has a different way of doing the calculation. This is done to determine which method is looking for help in making decisions. And in this study are the criteria Discipline, Knowledge, Leadership, Attitude, and Level. And there are sub criteria on Level, which Black (AND I) and Red Black II.

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

A grey approach to site selection for nursing homes: An extension of the fuzzy analytic hierarchy process

2021 ◽  
pp. 1-12
Author(s):  
Yun Fan ◽  
Zhigeng Fang ◽  
Sifeng Liu ◽  
Jun Liu
Keyword(s):  
Nursing Home ◽  
Nursing Homes ◽  
Analytic Hierarchy Process ◽  
Site Selection ◽  
Indicator System ◽  
Layer System ◽  
Analytic Hierarchy ◽  
Selection For ◽  
Grey Number ◽  
Hierarchy Process

The construction of more nursing homes has become one of the most needed pension services in China, and the issue of site selection is one of the most important steps in their construction. The problem of site selection for nursing homes is a complex system engineering problem that involves not only economic interests but also social interests. Due to the limitations of human thinking in the evaluation process, the evaluation value of a nursing home site might be an interval grey number. Moreover, the evaluation indicator system for nursing home locations is a two-layer system that has been neglected in the literature. Therefore, the fuzzy analytical hierarchy process is extended to a new grey approach, i.e., the grey analytic hierarchy process, which can solve the evaluation problems for a two-layer indicator system under an interval grey environment. By constructing a three-point interval grey number, grey evaluation criteria are given to obtain a judgment matrix for interval grey numbers. Definitions of the initial weights, nongreyness weights and integrated weights are proposed to find the best evaluation object. Finally, the effectiveness of the method proposed by this paper is verified by comparative analyses of other grey methods.

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