a. azar

Ethics is a new subject in decision making and management science (that has the same meaning with Operations Research), which has great appeal for researchers in this scientific course and it can be considered with elegant research vision. The strategic nature of management science is an important subject in span of humanities sciences over the other sciences, because for every decision in this area, it is necessary to take into account people, environment and the nature of the society. One of the effective ways to consider the ethics in all aspects of human activities is to use ethics in decision making and operations research (OR).

In this review article while comparing the natural world positions and humanity world (compare Physics with operations research), in the scale of decision making in this position, we concentrate on the subject that decision making in humanity situations needs to focus on three influencing factors including rationality, subjectivity and ethics. The article has discussed about these three factors, thus for the rationality factor basic models of OR, for the subjectivity factor, use of Multi Criteria Decision Making (MCDM) and finally for the ethic factor, ethical subjects like sustainable development, social equilibrium, pollution, waste management, natural environment commitment, raw management and etc, were investigated. The paper discusses some points about balancing between these three factors in OR models. Finally, sorer of the suggested topics such as text of an oath for OR, ethics in modeling were proposed and then conclusions and remarks for the future, were noted.

Decision making in the area of management science is not realistic without paying attention to ethics and social responsibility. Nowadays, the authors work about interference of ethics in decision making and suggest some methods. This article examines past researches and latest outcomes compeletly, to gain access to a multicriteria methodology which researchers and decision makers able to interference ethics subjects in modeling and decision making.