COMPILING THE STRATEGIES OF ALFA MINING COMPANY AND PRIORITIZING THEM BY WASPAS METHOD

Background: Nowadays mining companies, as non-profit organizations like other organizations, face a complex and turbulent environment. The proper guidance of the organizations depends on understanding the internal and external environment and making smart strategic decisions. Therefore, to deal effectively with all the factors that affect the ability of the company in its profitable growth, because organizations need compiling strategic planning to increase their capabilities, long-term growth and survival and to reduce operational risk, organizations have turned to strategic planning in particular. After compiling strategies, determining the priority of strategies is very important. The statistical population of this research has consisted of 50 heads of operational and support affairs units [to determine internal factors] along with 10 managers and deputies [to determine external factors]. In this research, strategies were first identified via the Strengths, Weaknesses, Opportunities, and Threats [SWOT] matrix and then ranked by the Weighted Aggregates Sum Product Assessment [WASPAS] method.

Materials and methods: In addition to the QSPM approach, multi-indicator decision-making models can also be used to prioritize strategies. Nowadays, as multi-indicator decision-making related topics are intensified and on the other hand, the increasing tendency towards interdisciplinary sciences and the use of theories of various groups and specialties in solving complex problems, the necessity to pay attention to decision-making analysis techniques and exploiting them in solving existing complex problems is of great importance. In these models, selecting one option among the available options is considered. In a general definition, multi-indicator decision making refers to specific [preferential type] decisions, such as evaluating, prioritizing, or selecting among the available options [which sometimes should be done among several contrasting indicators]. Some multi-indicator decision-making models are: AHP, ANP, ELECTRE, VICTOR, TOPSIS, SAW, GRA, SIR, PROMETHEE and WASPAS.  In this article, the WASPAS method has been used to determine the prioritization of strategies.

Results: In this research, strategies were first identified via the Strengths, Weaknesses, Opportunities, and Threats [SWOT] matrix and then ranked by the Weighted Aggregates Sum Product Assessment [WASPAS] method. Ultimately, the strategies of "assigning a part of the sale to individuals or qualified private companies", "creating the Technology Transfer Office [TTO] in order to move towards self-sufficiency", and "comprehensive planning in the field of human resources in order to create an effective and efficient culture" were selected as strategic priorities for the Alpha Mining Company.

Conclusions: Various approaches have already been proposed to prioritize strategies; in this research, the criteria have been specified using the ACCEPT approach and finally by the WASPAS method, the strategies have been prioritized. The ACCEPT method unlike the QSPM method, which prioritized strategies by taking into account strengths and weaknesses, opportunities and threats, regardless of environmental conditions and existing organizational status and externally by considering 6 main parameters of strategy evaluation including cost, time, popularity, effective, and so on, helps to prioritize strategies. In this research, it was tried to use one of the techniques of MADM according to relevant and important criteria to enhance the assurance coefficient of managers’ decision making. Multi-criteria decision-making techniques have this advantage that they evaluate various options according to various criteria that do not have equal units. Another important advantage of multi-criteria decision-making techniques is that they are capable of analyzing quantitative and qualitative criteria simultaneously.