Site selection of photovoltaic power plants in a value chain based on grey cumulative prospect theory for sustainability: A case study in Northwest China

2017 ◽  
Vol 148 ◽  
pp. 386-397 ◽  
Author(s):  
Jicheng Liu ◽  
Fangqiu Xu ◽  
Shuaishuai Lin
Keyword(s):  
Prospect Theory ◽  
Value Chain ◽  
Site Selection ◽  
Power Plants ◽  
Northwest China ◽  
Cumulative Prospect Theory ◽  
A Value ◽  
Photovoltaic Power ◽  
Selection Of

scholarly journals Selection of an Optimal Network-Ranking Model to Achieve the Optimal Production Line Value Chain: a Case Study in the Textile Industry

2017 ◽  
Vol 25 (0) ◽  
pp. 93-99
Author(s):  
Abbas Aboumasoudi
Keyword(s):  
Value Chain ◽  
Textile Industry ◽  
Data Envelopment ◽  
Decision Unit ◽  
A Value ◽  
Optimal Network ◽  
Optimal Value ◽  
Good Nature ◽  
Selection Of

Fulfilling needs and organisational resources with the least cost and highest quality is the main reason to achieve the optimal value chain. Application of most of the current techniques has merely been intended to choose the best scenario. However, industrial units need to build an ideal scenario as a value chain which focuses on intangible interstitial and hidden factors: good (good nature), bad (bad nature), fixed (obligatory nature) and free (not identifying their nature) and creates value. Therefore the model presented in this article answers this issue. First of all, we present a model based on the network approach of data envelopment analysis, then assess and rank the stages based on the scenarios for the stages forming the value chain, and finally the ideal decision unit is presented. For this reason, the general efficiency is designed with two natures; 1. input-centered (concentration on the costs) and 2. output-centered (concentration on the incomes).

scholarly journals Viability and Sustainability Assessment of Bioenergy Value Chains on Underutilised Lands in the EU and Ukraine

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1566
Author(s):  
Cosette Khawaja ◽  
Rainer Janssen ◽  
Rita Mergner ◽  
Dominik Rutz ◽  
Marco Colangeli ◽  
...  
Keyword(s):  
Value Chain ◽  
Sustainability Assessment ◽  
Bioenergy Crops ◽  
Value Chains ◽  
The European Union ◽  
Feed Production ◽  
A Value ◽  
Sustainability Assessments ◽  
Selection Of

Bioenergy represents the highest share of renewable energies consumed in the European Union and is still expected to grow. This could be possible by exploring bioenergy production on Marginal, Underutilised, and Contaminated lands (MUC) that are not used for agricultural purposes and therefore, present no competition with food/feed production. In this paper, the viability and sustainability of bioenergy value chains on these lands is investigated and measures for market uptake were developed. Using three case study areas in Italy, Ukraine, and Germany, a screening of MUC lands was conducted, then an agronomic assessment was performed to determine the most promising crops. Then, techno-economic assessments followed by sustainability assessments were performed on selected value chains. This concept was then automated and expanded through the development of a webGIS tool. The tool is an online platform that allows users to locate MUC lands in Europe, to define a value chain through the selection of bioenergy crops and pathways, and to conduct sustainability assessments measuring a set of environmental, social, and economic sustainability indicators. The findings showed positive results in terms of profitability and greenhouse gas emissions for bioethanol production from willow in Ukraine, heat and power production from miscanthus, and biogas and chemicals production from grass in Germany. The webGIS tool is considered an important decision-making tool for stakeholders, which gives first insights on the viability and sustainability of bioenergy value chains.

scholarly journals A Multi-Criteria Decision Support Framework for Inland Nuclear Power Plant Site Selection under Z-Information: A Case Study in Hunan Province of China

Mathematics ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 252 ◽  
Author(s):  
Heng-ming Peng ◽  
Xiao-kang Wang ◽  
Tie-li Wang ◽  
Ya-hua Liu ◽  
Jian-qiang Wang
Keyword(s):  
Decision Support ◽  
Site Selection ◽  
Nuclear Power ◽  
Power Plants ◽  
Hunan Province ◽  
Decision Support Framework ◽  
Depth Analysis ◽  
Power Project ◽  
Selection Of

To promote the development of nuclear power project in inland China, a specialized multi-criteria decision support framework is constructed for the site selection of inland nuclear power plants in this work. The best worst method (BWM), decision-making trial and evaluation laboratory (DEMATEL), and technique for order performance by similarity to ideal solution (TOPSIS) are integrated with Z-numbers, namely Z-BWM, Z-DEMATEL, and Z-TOPSIS. Z-BWM and Z-DEMATEL are combined to produce the weights of criteria, and an extended Z-TOPSIS is utilized to determine the ranking of all alternatives. Finally, a case study is performed in Hunan province to demonstrate the practicability of the proposed decision support framework. The robustness and feasibility of the proposed method are shown by an in-depth analysis of the decision results.

Optimal selection of energy storage nodes based on improved cumulative prospect theory in China

2020 ◽  
Vol 12 (6) ◽  
pp. 064101
Author(s):  
Jicheng Liu ◽  
Zhenzhen Wang ◽  
Yu Yin ◽  
Yinghuan Li ◽  
Yunyuan Lu
Keyword(s):  
Energy Storage ◽  
Prospect Theory ◽  
Cumulative Prospect Theory ◽  
Optimal Selection ◽  
Selection Of

GIS Based Multi-Criteria decision support system and machine learning for Hospital Site Selection case study Oran - Algeria

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Site Selection ◽  
Decision Makers ◽  
Analysis Method ◽  
Automatic Learning ◽  
Hospital Site ◽  
Set Up ◽  
High Level ◽  
Selection Of ◽  
The Ideal

The selection of hospital sites is one of the most important choice a decision maker has to take so as to resist the pandemic. The decision may considerably affect the outbreak transmission in terms of efficiency , budget, etc. The main targeted objective of this study is to find the ideal location where to set up a hospital in the willaya of Oran Alg. For this reason, we have used a geographic information system coupled to the multi-criteria analysis method AHP in order to evaluate diverse criteria of physiological positioning , environmental and economical. Another objective of this study is to evaluate the advanced techniques of the automatic learning . the method of the random forest (RF) for the patterning of the hospital site selection in the willaya of Oran. The result of our study may be useful to decision makers to know the suitability of the sites as it provides a high level of confidence and consequently accelerate the power to control the COVID19 pandemic.

Decision-making of investment in navigation safety improving schemes with application of cumulative prospect theory

2018 ◽  
Vol 232 (6) ◽  
pp. 710-724 ◽  
Author(s):  
Lei Wang ◽  
Qing Liu ◽  
Tongle Yin
Keyword(s):  
Decision Making ◽  
Prospect Theory ◽  
Investment Decision ◽  
Cumulative Prospect Theory ◽  
Decision Makers ◽  
Investment Decision Making ◽  
Risk Appetite ◽  
Safety Investment ◽  
Navigation Safety

Navigation safety improving investment aims at mitigating risk and improving safety of shipping system, while decision-makers’ attitudes toward the uncertainty of shipping safety possess a characteristic of “bounded rationality.” To study the tendency of shipping safety investment decision-making with different risk perception and appetite, a decision-making method based on cumulative prospect theory is proposed in this article. First, we extract the decision attributes through analyzing the factors affecting shipping safety investment. Then, according to cumulative prospect theory, the value function and the probability weighting function for calculating cumulative prospect values of shipping investment attributes are given. Under the risk-based multi-attribute group decision-making framework, linear programming model and projection method are introduced to aggregate the weights of attributes and decision-makers, respectively. Furthermore, through a case study, the proposed methodology is utilized in Three Gorges Dam area, and the desirable safety investment scheme is determined from a set of candidate alternatives. The case study shows not only validity and feasibility of the decision-making approach but also the mechanism of shipping safety investment decision-making with consideration of the behavior characteristics of decision-makers such as reference dependence, risk appetite distortion, and loss aversion.

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