Location set covering and maximal set covering of distributers of auto oil produc-tion in Naft-e-Pars Oil Company

Competition in product identification and distribution has largely limited the automotive oil industry to short-term strategies. Location models have been welcomed by industry owners, engineers and researchers in the relevant fields due to their obvious impact and great importance in reducing costs in the field of establishment and operation of production and distribution facilities. On the other hand, in terms of geographical coverage capacity in the field of distribution of these products, which covers the whole country, so far little research has been done on the degree of penetration of each product. The problem of locating maximum coverage to meet the total demand of customers and responding to the maximum satisfaction of customer demand using the existing facilities leads to an increase in benefits and ultimate profit. Due to this issue, in this study, we used the location-maximum coverage (MCLP) problem for a wider distribution of car oil in the geographical area of ​​Iran. Therefore, in order to solve the problem of maximum location-coverage, multi-criteria decision making (MODM) has been used by considering quantitative and qualitative indicators as evaluation criteria. Network Analysis Process (ANP) is a relatively efficient way to use the interrelationships of indicators systematically. In this regard, the test and decision evaluation method (DEMATEL) has been used to convert cause and effect relationships between indicators and identify internal dependencies within the set of indicators. Finally, according to the real data, priority agencies have been determined in the provinces.