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1. the political environment in india has proven to be critical to company performance for both pepsico and coca-cola india. what specific aspects of the political environment have played key roles? could these effects have been anticipated prior to market entry? if not, could developments in the political arena have been handled better by each company? 2. timing of entry into the indian market brought different results for pepsico and coca-cola india. what benefits or disadvantages accrued as a result of earlier or later market entry? 3. the indian market is enormous in terms of population and geography. how have the two companies responded to the sheer scale of operations in india in terms of product policies, promotional activities, pricing policies, and distribution arrangements? 4. “global localization” (glocalization) is a policy that both companies have implemented successfully. give examples for each company from the case.

Croy inc. has the following projected sales for the next five months: month sales in units april 3,850 may 3,875 june 4,260 july 4,135 august 3,590 croy’s finished goods inventory policy is to have 60 percent of the next month’s sales on hand at the end of each month. direct material costs $2.50 per pound, and each unit requires 2 pounds. raw materials inventory policy is to have 50 percent of the next month’s production needs on hand at the end of each month. raw materials on hand at march 31 totaled 3,741 pounds. 1. determine budgeted production for april, may, and june. 2. determine the budgeted cost of materials purchased for april, may, and june. (round your answers to 2 decimal places.)

1. what are the unique operational challenges to delivering fresh meals? 2. why is speed of delivery so important for delivered meals? what variety of options contribute to this performance metric? 3. how could operations management concepts be utilized to improve the performance of freshly? 4. what are your typical product delivery times? what would be required to speed these up? 5. what are your delivery batch quantities? how could you reduce batch size and reduce delivery cost simultaneously using operations management concepts?