Project Management for a Wind Turbine Construction by Applying Fuzzy Multiple Objective Linear Programming Models

Kang, He‐Yau; Lee, Amy H. I.; Huang, Tzu-Ting

doi:10.3390/en9121060

Cited by 6 publications

(4 citation statements)

References 31 publications

(37 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The FMOLP model is a top‐down model, which can be used to study constraints and multi‐objective functions and meets the uncertainty requirements of LUCC planning problems. The model has been extensively applied in various fields with excellent results (Huang & Huang, 2016; Kang et al, 2016). Nevertheless, the clearest deficiency of the GM‐FMOLP model is that it cannot simulate the results of individual spatial interactions on LUCC.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulating multiple scenarios of land use/cover change using a coupled model to capture ecological and economic effects

Liu

Wang

et al. 2023

Land Degrad Dev

View full text Add to dashboard Cite

The conflict between the demands of ecological protection and economic development is increasingly prominent. Land use change is sensitive to whether economic or ecological profits dominate, and prediction of future land use changes has become an important scientific issue. This article constructs a coupled model that comprises the grey model (GM), the fuzzy multiple objective linear programming model (FMOLP) and the future land use simulation model (FLUS). We used this model to calculate a macro‐scale quantitative forecast using the top‐down GM‐FMOLP model, and calculated micro‐scale spatial simulations of land use/cover change (LUCC) using the bottom‐up FLUS model under three dissimilar future scenarios, with different emphases on ecological and economic benefits. The scenarios were designed to meet different planning requirements in Chongqing: ecological benefits maximization, economic benefits maximization, and combined ecological and economic benefits maximization. The proposed model, FLUS, was applied to a LUCC simulation for Chongqing in 2015, beginning from verified historical land use data from 2010. The results show that the simulation agrees well with the actual land use in 2015. The overall accuracy and kappa coefficient are 85.92% and 0.76, respectively, which indicates the model performs well. The three land use types with the highest producer and user accuracies are forest, cropland and water areas. The GM‐FMOLP model was used to forecast future LUCC quantity demand, and the FLUS model was then used to calculate spatial predictions for the three scenarios for 2040. The prediction results for the six land use types were significantly different under the three different scenarios. The total areas of forest, urban land and water increased by different degrees under the three scenarios, and the unused land area dwindled. Cropland areas were largely converted into forest, urban land and water areas. The increases in forest and urban land areas generally represents internal gap‐filling between disparate areas and peripheral expansion of areas of the same land use type. The increase in water area results from increased surface runoff in mountainous valleys with severe terrain. Areas of unused land are fully transformed into other land use types. The outcomes from the designed scenarios demonstrate that the proposed models are reliable and effective for future LUCC simulation, and highlight key areas where land use changes differently according to the scenario. In summary, in the predictions for the scenario that combined ecological and economic benefits maximization, each land use type tried to maximize ecological and economic benefits under the constraints, taking into account ecological safety and economic growth, which is in line with the coordination, comprehensiveness and binding requirements in Chongqing's development plan. Therefore, this scenario becomes the optimal scenario for land use optimization in Chongqing in the future. This study provides an example of the application of simulati...

show abstract

Section: Introductionmentioning

confidence: 99%

“…The FMOLP model is a topdown model, which can be used to study constraints and multiobjective functions and meets the uncertainty requirements of LUCC planning problems. The model has been extensively applied in various fields with excellent results Kang et al, 2016).…”

mentioning

confidence: 99%

Simulating multiple scenarios of land use/cover change using a coupled model to capture ecological and economic effects

Liu

Wang

et al. 2023

Land Degrad Dev

View full text Add to dashboard Cite

show abstract

“…Zhao and Guo [8] used the Analytic Hierarchy Process (AHP) and the fuzzy synthetic evaluation method to carry out the risk assessment of the Zhejiang-Fuzhou EHV distribution networking project. In Kang's research [9], the fuzzy multiple objective linear programming (FMOLP) model was constructed to provide references for the management of project and then, a wind turbine construction project in Taiwan was employed for empirical analysis to validate the model established in this paper. Fu [10] applied the expert scoring method to identify the risk factors in the construction process of power grid projects on the basis of life cycle theory.…”

Section: Introductionmentioning

confidence: 99%

Research on Risk Evaluation of Transnational Power Networking Projects Based on the Matter-Element Extension Theory and Granular Computing

et al. 2017

Energies

View full text Add to dashboard Cite

In project management, risk assessment is crucial for stakeholders to identify the risk factors during the whole life cycle of the project. A risk evaluation index system of a transnational networking project, which provides an effective way for the grid integration of clean electricity and the sustainable development of the power industry, is constructed in this paper. Meanwhile, a combination of granular computing and order relation analysis (G1 method) is applied to determine the weight of each indicator and the matter-element extension evaluation model is also employed to seek the global optimal decision during the risk assessment. Finally, a case study is given to validate the index system and evaluation model established in this paper by assessing two different investment schemes of a transnational high voltage direct current (HVDC) transmission project. The result shows that the comprehensive risk level of Scheme 1 is "Low" and the level of Scheme 2 is "General", which means Scheme 1 is better for the stakeholders from the angle of risk control. The main practical significance of this paper lies in that it can provide a reference and decision support for the government's power sectors, investment companies and other stakeholders when carrying out related activities.

show abstract

“…Researchers in [68] utilized FMOLP model to construct a renewable energy plant. This model offers a concession result to maximize the total degree of satisfaction of the multi-objective project.…”

mentioning

confidence: 99%

Multi Objective Multi Mode Project Management Problem in Triangular Fuzzy Environment

Ketankumar*,

Dhodiya

2019

IJITEE

View full text Add to dashboard Cite

Execution of any project with optimum duration, cost, quality and risk is very significant for project administrators in recent very competitive commercial situation. Sometimes it is not possible to have detailed earlier statistics about project criteria. In such situations, estimation of different Decision makers are considered in linguistic variables and altered into triangular fuzzy numbers as fuzzy numbers have ability to deal with vagueness. In this paper, we frame a new multi-mode multi objective critical path problem and suggest a possibilistic methodology to find critical path for a project where three decision makers’ views are considered as three modes of execution in terms of linguistic variables. We have formulated model of multiple mode in project network problem and find its solution with fuzzy programming approach with exponential membership and linear membership function. The proposed approach is useful to solve multi-mode project management problem which calculates optimal critical path according to four criteria- time, cost, risk and quality with three activities modes of execution in fuzzy environment.

show abstract

Project Management for a Wind Turbine Construction by Applying Fuzzy Multiple Objective Linear Programming Models

Cited by 6 publications

References 31 publications

Simulating multiple scenarios of land use/cover change using a coupled model to capture ecological and economic effects

Simulating multiple scenarios of land use/cover change using a coupled model to capture ecological and economic effects

Research on Risk Evaluation of Transnational Power Networking Projects Based on the Matter-Element Extension Theory and Granular Computing

Multi Objective Multi Mode Project Management Problem in Triangular Fuzzy Environment

Contact Info

Product

Resources

About