Collaborative decision-making on wind power projects based on AHP method

International Conference on Applied Sciences 2016

Badea, A.^1 ; Protean, G.^1 ; Tmil, M.^1 ; Vârtosu, A.^2

Politehnica University of Timisoara, Management Department, 14 Remus Street, Timisoara, Romania^1

Politehnica University of Timisoara, Measurement and Optical Electronics Departament, Vasile Parvan Street, no. 1-2, Timisoara, Romania^2

关键词: Analytic hierarchy process (ahp);    Collaborative decision making;    Decision-making method;    Mathematical calculations;    Optimal alternative;    Quality raw materials;    Renewable energy source;    Wind power projects;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/163/1/012017/pdf
DOI  :  10.1088/1757-899X/163/1/012017

来源: IOP

【 摘 要 】

The complexity of projects implementation in Renewable Energy Sources (RES) requires finding collaborative alliances between suppliers and project developers in RES. Links activities in supply chain in RES, respectively, transportation of heavy components, processing orders to purchase quality raw materials, storage and materials handling, packaging, and other complex activities requiring a logistics system collaboratively to be permanently dimensioned properly selected and monitored. Requirements imposed by stringency of wind power energy projects implementation inevitably involves constraints in infrastructure, implementation and logistics. Thus, following an extensive research in RES project, to eliminate these constraints were identified alternative collaboration to provide feasible solutions on different levels of performance. The paper presents a critical analysis of different collaboration alternatives in supply chain for RES projects, selecting the ones most suitable for particular situations by using decision-making method Analytic Hierarchy Process (AHP). The role of AHP method was to formulate a decision model by which can be establish the collaboration alternative choice through mathematical calculation to reduce the impact created by constraints encountered. The solution provided through AHP provides a framework for detecting optimal alternative collaboration between suppliers and project developers in RES and avoids some breaks in the chain by resizing safety buffers for leveling orders in RES projects.