Please help

You are working as an Operations Research Intern at the European Headquarters of a single- type car manufacturer. As today's task, you have been asked to model an IP which should be developed to minimize the annual cost of meeting the demand of cars where all parameters of the problem are deterministic. The company is currently discussing of producing the cars in four factories which are located in Riga, Bucharest, Berlin and London. Each facility can produce as many as 140,000 cars annually and have annual rents as 6.35, 5.69, 5.89, 4.13 Million Euros for Riga, Bucharest, Berlin and London facilities respectively. Therefore, these facilities may or may not be opened depending on your model. The project team that is formed by the members of Logistics and Production departments has given you the production costs per facility and the shipping costs as in table 1 below. Toble 1. Production + Shipping Costs Eastern Europe Southern Europe Western Europe UK & Ireland 312 446 464 398 Riga Bucharest 377 336 367 410 Berlin 331 336 389 466 London 392 392 431 375 You have also requested the annual demand of each region and it is given in the table 2 below: Table 2. Annual Demond of Each Region + Eastern Europe Southern Europe 120,000 110,000 Western Europe 140,000 UK & Ireland 50,000 Additionally, you have been requested to consider the following limitations. London 392 392 431 375 You have also requested the annual demand of each region and it is given in the table 2 below: Table 2. Annual Demand of Each Region UK & Ireland Eastern Europe 120,000 Southern Europe Western Europe 110,000 140,000 50,000 Additionally, you have been requested to consider the following limitations. . Either London or Bucharest facilities must be opened. (Note: Both can be open at the same time) If Riga facility is opened, then Bucharest must not be opened. If Riga facility is opened, then Bucharest must not be opened while London must be opened. Note: Formulate your IP in an open form and while formulating it, give index (or indices), decision variable(s) and parameter(s), explicitly to receive credits. Use f & g functions and find the values of M when necessary to receive credits