Analytical Ordinal Priority Approach

Saad Ahmed Javed, Amin Mahmoudi — Thu, 17 Jul 2025 00:00:00 +0000

The study proposes an analytical (closed-form) solution to the Ordinal Priority Approach (OPA) in multiple attribute decision-making. The proposed Analytical Ordinal Priority Approach (AOPA) can calculate the weights of alternatives, criteria and experts, without linear programming. The application of the AOPA is demonstrated through an example run on Microsoft Excel. The results are consistent with those of the classical OPA. The findings are important for those who seek convenience and may wish to execute the OPA on commonly used spreadsheets without the need for the programming languages.

Forecasting the Demand for Human Resources in a Hospital using the Grey Forecasting Model

Mengnan Wang, Mengyu Wang — Thu, 17 Jul 2025 00:00:00 +0000

The current study applies the grey forecasting model GM(1,1) to forecast human resource demand in a private hospital in Hebei, a province of China. With the analysis of its 2020-2024 staffing data, the model predicts a steadily increased number during 2025 to 2027. The forecast accuracy was examined by Mean Absolute Percentage Error. The study concludes with some suggestions for manpower demand management in the hospital.

Management Science and Business Decisions

Analytical Ordinal Priority Approach

Forecasting the Demand for Human Resources in a Hospital using the Grey Forecasting Model