880 Words4 Pages

9) Game Theory : It is a technique to deal with uncertainty situations related to management decisions such as bidding for tenders.

10) Goal Programming : It is a technique to convert multiple objectives into a simple goal.

11) Simulation : It is a technique to deal with probabilistic situation where mathematical models fail to provide solutions to real problems.

12) Scheduling : It is the process of preparing calendar for executing a set of jobs.

13) Non-linear programming : It is an extended version of linear programming problems with non- linear objective function and linear constraints or with non linear objective function and non linear constraints which will enable analysts to incorporate realistic assumption while solving problem.*…show more content…*

Defence : The technique of Operation Research may be used effectively to make scientific decision in defence operations, shortest path problem, vehicle routing and shipping food grains or ammunition are the problems which can be solved effectively by using the aforementioned techniques of operation research. 2. Industries : The techniques of Operation Research may be used for effective management of the functional areas such as production, marketing, personnel and finance of an*…show more content…*

Queueing Theory has been studied in health care settings since 1952 [13]. A considerable body of research has shown the use of queueing theory in real world health care situation. McClain [130] reviews research on models for evaluating the impact of bed assignments policies on utilization, waiting time and the probability of turning away patients. Nosek and Wilson [146] review the use of queueing theory in pharmacy application with particular attention to improving customer’s satisfaction. Customer satisfaction is improved by predicting and reducing waiting times and adjusting staffing. Preater [152] presents a brief history of the use of queueing theory in health and care. Green [67] applied the queuing theory in health care. She discusses the relationship amongst delays, utilization and the number of servers; the basic M/M/S model, its assumption and extensions; and the application of the theory to determine the required number of servers. Agnihotri, S.R and Taylor, P.F. [6], Khan, M.R. and Callahan, B.B. [100] and many others have exploited the queueing theory in the different areas of health care viz. waiting time and utilization analysis, system design, appointments systems, out patients appointments systems, the emergency cardiac in- patient flow and others. They successfully established the applicability of queueing theory in the field of health

10) Goal Programming : It is a technique to convert multiple objectives into a simple goal.

11) Simulation : It is a technique to deal with probabilistic situation where mathematical models fail to provide solutions to real problems.

12) Scheduling : It is the process of preparing calendar for executing a set of jobs.

13) Non-linear programming : It is an extended version of linear programming problems with non- linear objective function and linear constraints or with non linear objective function and non linear constraints which will enable analysts to incorporate realistic assumption while solving problem.

Defence : The technique of Operation Research may be used effectively to make scientific decision in defence operations, shortest path problem, vehicle routing and shipping food grains or ammunition are the problems which can be solved effectively by using the aforementioned techniques of operation research. 2. Industries : The techniques of Operation Research may be used for effective management of the functional areas such as production, marketing, personnel and finance of an

Queueing Theory has been studied in health care settings since 1952 [13]. A considerable body of research has shown the use of queueing theory in real world health care situation. McClain [130] reviews research on models for evaluating the impact of bed assignments policies on utilization, waiting time and the probability of turning away patients. Nosek and Wilson [146] review the use of queueing theory in pharmacy application with particular attention to improving customer’s satisfaction. Customer satisfaction is improved by predicting and reducing waiting times and adjusting staffing. Preater [152] presents a brief history of the use of queueing theory in health and care. Green [67] applied the queuing theory in health care. She discusses the relationship amongst delays, utilization and the number of servers; the basic M/M/S model, its assumption and extensions; and the application of the theory to determine the required number of servers. Agnihotri, S.R and Taylor, P.F. [6], Khan, M.R. and Callahan, B.B. [100] and many others have exploited the queueing theory in the different areas of health care viz. waiting time and utilization analysis, system design, appointments systems, out patients appointments systems, the emergency cardiac in- patient flow and others. They successfully established the applicability of queueing theory in the field of health

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