With the advertisement of the era of knowledge economy, human has become the core element in the enterprise competitiveness. It＇s one of the problems for human resource managers to select the most suitable person amo...With the advertisement of the era of knowledge economy, human has become the core element in the enterprise competitiveness. It＇s one of the problems for human resource managers to select the most suitable person among many candidates. Nowadays, most enterprises resort to the simple evaluation in hiring which is unfair for evaluating the abilities of applicants. AHP model is a method which combining qualitative and quantitative. This paper applies the AHP model to hiring the middle managers and takes the recruiting of project managers for example to analyze its effectiveness. Hope to provide scientific decision basis for recruiting middle managers.展开更多
With the advertisement of the era of knowledge economy, human has become the core element in the enterprise competitiveness. It＇s one of the problems for human resource managers to select the most suitable person amo...With the advertisement of the era of knowledge economy, human has become the core element in the enterprise competitiveness. It＇s one of the problems for human resource managers to select the most suitable person among many candidates. Nowadays, most enterprises resort to the simple evaluation in hiring which is unfair for evaluating the abilities of applicants. AHP model is a method which combining qualitative and quantitative. This paper applies the AHP model to hiring the middle managers and takes the recruiting of project managers for example to analyze its effectiveness. Hope to provide scientific decision basis for recruiting, middle managers.展开更多
A comprehensive and objective risk evaluation model of oil and gas pipelines based on an improved analytic hierarchy process(AHP)and technique for order preference by similarity to an ideal solution(TOPSIS)is establis...A comprehensive and objective risk evaluation model of oil and gas pipelines based on an improved analytic hierarchy process(AHP)and technique for order preference by similarity to an ideal solution(TOPSIS)is established to identify potential hazards in time.First,a barrier model and fault tree analysis are used to establish an index system for oil and gas pipeline risk evaluation on the basis of five important factors:corrosion,external interference,material/construction,natural disasters,and function and operation.Next,the index weight for oil and gas pipeline risk evaluation is computed by applying the improved AHP based on the five-scale method.Then,the TOPSIS of a multi-attribute decision-making theory is studied.The method for determining positive/negative ideal solutions and the normalized equation for benefit/cost indexes is improved to render TOPSIS applicable for the comprehensive risk evaluation of pipelines.The closeness coefficient of oil and gas pipelines is calculated by applying the improved TOPSIS.Finally,the weight and the closeness coefficient are combined to determine the risk level of pipelines.Empirical research using a long-distance pipeline as an example is conducted,and adjustment factors are used to verify the model.Results show that the risk evaluation model of oil and gas pipelines based on the improved AHP–TOPSIS is valuable and feasible.The model comprehensively considers the risk factors of oil and gas pipelines and provides comprehensive,rational,and scientific evaluation results.It represents a new decision-making method for systems engineering in pipeline enterprises and provides a comprehensive understanding of the safety status of oil and gas pipelines.The new system engineering decision-making method is important for preventing oil and gas pipeline accidents.展开更多
A set of indices for performance evaluation for business processes with multiple inputs and multiple outputs is proposed, which are found in machinery manufacturers. Based on the traditional methods of data envelopmen...A set of indices for performance evaluation for business processes with multiple inputs and multiple outputs is proposed, which are found in machinery manufacturers. Based on the traditional methods of data envelopment analysis （DEA） and analytical hierarchical process （AHP）, a hybrid model called DEA/AHP model is proposed to deal with the evaluation of business process performance. With the proposed method, the DEA is firstly used to develop a pairwise comparison matrix, and then the AHP is applied to evaluate the performance of business process using the pairwise comparison matrix. The significant advantage of this hybrid model is the use of objective data instead of subjective human judgment for performance evaluation. In the case study, a project of business process reengineering （BPR） with a hydraulic machinery manufacturer is used to demonstrate the effectiveness of the DEA/AHP model.展开更多
文摘With the advertisement of the era of knowledge economy, human has become the core element in the enterprise competitiveness. It＇s one of the problems for human resource managers to select the most suitable person among many candidates. Nowadays, most enterprises resort to the simple evaluation in hiring which is unfair for evaluating the abilities of applicants. AHP model is a method which combining qualitative and quantitative. This paper applies the AHP model to hiring the middle managers and takes the recruiting of project managers for example to analyze its effectiveness. Hope to provide scientific decision basis for recruiting middle managers.
文摘With the advertisement of the era of knowledge economy, human has become the core element in the enterprise competitiveness. It＇s one of the problems for human resource managers to select the most suitable person among many candidates. Nowadays, most enterprises resort to the simple evaluation in hiring which is unfair for evaluating the abilities of applicants. AHP model is a method which combining qualitative and quantitative. This paper applies the AHP model to hiring the middle managers and takes the recruiting of project managers for example to analyze its effectiveness. Hope to provide scientific decision basis for recruiting, middle managers.
基金supported by the National Key Research and Development Program of China(Grant Nos.2017YFC0805804,2017YFC0805801)
文摘A comprehensive and objective risk evaluation model of oil and gas pipelines based on an improved analytic hierarchy process(AHP)and technique for order preference by similarity to an ideal solution(TOPSIS)is established to identify potential hazards in time.First,a barrier model and fault tree analysis are used to establish an index system for oil and gas pipeline risk evaluation on the basis of five important factors:corrosion,external interference,material/construction,natural disasters,and function and operation.Next,the index weight for oil and gas pipeline risk evaluation is computed by applying the improved AHP based on the five-scale method.Then,the TOPSIS of a multi-attribute decision-making theory is studied.The method for determining positive/negative ideal solutions and the normalized equation for benefit/cost indexes is improved to render TOPSIS applicable for the comprehensive risk evaluation of pipelines.The closeness coefficient of oil and gas pipelines is calculated by applying the improved TOPSIS.Finally,the weight and the closeness coefficient are combined to determine the risk level of pipelines.Empirical research using a long-distance pipeline as an example is conducted,and adjustment factors are used to verify the model.Results show that the risk evaluation model of oil and gas pipelines based on the improved AHP–TOPSIS is valuable and feasible.The model comprehensively considers the risk factors of oil and gas pipelines and provides comprehensive,rational,and scientific evaluation results.It represents a new decision-making method for systems engineering in pipeline enterprises and provides a comprehensive understanding of the safety status of oil and gas pipelines.The new system engineering decision-making method is important for preventing oil and gas pipeline accidents.
基金This project is supported by National Natural Science Foundation of China (No. 70471009)Natural Science Foundation Project of CQ CSTC, China (No. 2006BA2033).
文摘A set of indices for performance evaluation for business processes with multiple inputs and multiple outputs is proposed, which are found in machinery manufacturers. Based on the traditional methods of data envelopment analysis （DEA） and analytical hierarchical process （AHP）, a hybrid model called DEA/AHP model is proposed to deal with the evaluation of business process performance. With the proposed method, the DEA is firstly used to develop a pairwise comparison matrix, and then the AHP is applied to evaluate the performance of business process using the pairwise comparison matrix. The significant advantage of this hybrid model is the use of objective data instead of subjective human judgment for performance evaluation. In the case study, a project of business process reengineering （BPR） with a hydraulic machinery manufacturer is used to demonstrate the effectiveness of the DEA/AHP model.
