Somayeh Kavianpour; Gavad Rezaeian
Abstract
Appropriate scheduling of shifts for nurses, is a critical issue in hospital management. This study improves the scheduling of shifts for nurses in health services organizations to provide lower cost and also to reduce the computational complexity and finally to realize the outcome of these actions on ...
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Appropriate scheduling of shifts for nurses, is a critical issue in hospital management. This study improves the scheduling of shifts for nurses in health services organizations to provide lower cost and also to reduce the computational complexity and finally to realize the outcome of these actions on job satisfaction and quality of received services. A linear mathematical model is proposed and since this problem is NP-hard, Genetic Algorithm is provided for solving the problem and finally Implemented in Imam Khomeini hospital of Noor city as a real sample. Computational results and performance of the proposed algorithm in terms of solution quality and computational time were analyzed. Accreditation standards for hospitals as well as the Productivity laws are used in the proposed model. Production of timetables by the proposed model, resulting in improved satisfaction levels of nurses and their job performance.
Mohammad Gholi Yousefi; Asghar Mobarak
Volume 9, Issue 24 , March 2012, , Pages 23-43
Abstract
The purpose of this paper has been to study the main determinants of productivity in manufacturing industries of Iran. The main emphasize has been on the role of institutions .We have used productivity in two digit manufacturing industries based on ISIC classification as dependent variable ,and expenditures ...
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The purpose of this paper has been to study the main determinants of productivity in manufacturing industries of Iran. The main emphasize has been on the role of institutions .We have used productivity in two digit manufacturing industries based on ISIC classification as dependent variable ,and expenditures on R&D, ,Manufactured Exports ,Investment on Manufacturing Industries and Square of employment as Firm Size in addition to Institutions for which we have taken the variables such as number of court litigation documents regarding property rights, security and aggression, transparency in law and order and corruption as explanatory variables for the changes in total factor productivity during the Period 1374-1386.The results show that while the coefficients for all other variables were positive and Significant. The coefficients of Institutions were ,however negative and statistically significant for all the institutional variables, indicating that institutions in Iran reduces opportunity and incentive for industrial investment and thereby acting as important hindrance factors for the growth of industrial productivity.
Adel Azar; Davood Andalib Ardakani; Haidar Mirfakhroddini
Volume 9, Issue 22 , September 2011, , Pages 23-48
Abstract
Nowadays the most important issues considered by the managers of industry is production planning and in this area, managers are faced with several goals that in many cases are in conflict with each other. Operations research techniques, with modeling, while the existing constraints consider, optimize ...
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Nowadays the most important issues considered by the managers of industry is production planning and in this area, managers are faced with several goals that in many cases are in conflict with each other. Operations research techniques, with modeling, while the existing constraints consider, optimize organizational goals. Objectives of all these techniques are raising productivity in the organization. Mathematical model for this research that is made for production planning in Khavar-E-Miane Furniture Co is multiple Objective fractional programming. One of the difficulties in solving the multiple Objective fractional problems is computational problem that arise of variability, in the example Chames and Cooper and Gillmore and Gomory methods there. Hence this research was used fuzzy approach to solve multiple Objective fractional mathematical model of Khavar- E-Miane Furniture Company. Thereby also overcome the computational problems of variability in the previous methods, the relevant officials will be able to optimize their production systems. In this context the first phase, Pal's method was used that using fuzzy goal programming was solved the multiple Objective fractional mathematical model. More using Dutta fuzzy method was determined that the result using both methods is identical and membership functions are equal to =0.701 and //2 =1. It should be noted that other companies also changed slightly in the proposed mathematical model will be able to optimize the production planning.
M.R. Mehregan; M. Rahmani
Volume 1, Issue 3 , January 2003, , Pages 1-30
Abstract
The paper investigates excesses and deficits in Iranian industrial productivity for the years by combining data envelopment analysis with other management science approaches such as analytical hierarchy process. The application also identifies factors that affect the productivity of Iranian industry ...
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The paper investigates excesses and deficits in Iranian industrial productivity for the years by combining data envelopment analysis with other management science approaches such as analytical hierarchy process. The application also identifies factors that affect the productivity of Iranian industry in a positive or negative way i.e., simultaneously identifies both excesses and deficits. The current study demonstrates that DEA can be combined with other methods to yield more valid results insights and recommendations such as : 1- the trend of Iranian industrial productivity in this 21 year period demonstrates some periods of fall and rise that is due to the conditions of the time 2- in the main factors of productivity we see some continuous trends of weakness; this means that it is necessary to think about this point in the strategic plans for industrial development plans can be set and corrections and revisions can be made.
