Buffalo BBQ Restaurant is trying to become more efficient in training its chefs. It is experimenting with two training programs aimed at this objective. Both programs have basic and advanced training modules. The restaurant has provided the following data regarding the two programs after two weeks of implementation: Training Program A Training Program B New chef # 1 2 3 4 5 6 7 8 9 10 Hours of basic training 22 24 28 21 23 25 24 29 31 28 Hours of advanced training 8 7 8 10 11 4 3 0 1 2 Number of chef mistakes 12 13 15 14 14 7 6 8 5 6 a. Compute the following performance metrics for each program: (1) Average hours of employee training per chef, rounded to one decimal place. Program A: fill in the blank 1 hrs. per chef Program B: fill in the blank 2 hrs. per chef (2) Average number of mistakes per chef, rounded to one decimal place. Program A: fill in the blank 3 mistakes per chef Program B: fill in the blank 4 mistakes per chef b. Which program should the restaurant implement moving forward?

Last week paul, ceo of quality furniture in south carolina, traveled to europe to visit customers. while overseas, paul checked his e-mail daily and showed his company's website to customers, explaining how the website will them place orders and receive merchandise more quickly. after visiting the last customer friday morning, paul was able to return to the corporate office in south carolina to meet with his board of directors that night. is the "shrinking" of time and space with air travel and electronic media.

Your team has identified the risks on the project and determined their risk score. the team is in the midst of determining what strategies to put in place should the risks occur. after some discussion, the team members have determined that the risk of losing their network administrator is a risk they'll just deal with if and when it occurs. although they think it's a possibility and the impact would be significant, they've decided to simply deal with it after the fact. which of the following is true regarding this question? a. this is a positive response strategy.b. this is a negative response strategy.c. this is a response strategy for either positive or negative risk known as contingency planning.d. this is a response strategy for either positive or negative risks known as passive acceptance.

Blue computers, a major pc manufacturer in the united states, currently has plants in kentucky and pennsylvania. the kentucky plant has a capacity of 1 million units a year and the pennsylvania plant has a capacity of 1.5 million units a year. the firm divides the united states into five markets: northeast, southeast, midwest, south, and west. each pc sells for $1,000. the firm anticipates a 50 perc~nt growth in demand (in each region) this year (after which demand will stabilize) and wants to build a plant with a capacity of 1.5 million units per year to accommodate the growth. potential sites being considered are in north carolina and california. currently the firm pays federal, state, and local taxes on the income from each plant. federal taxes are 20 percent of income, and all state and local taxes are 7 percent of income in each state. north carolina has offered to reduce taxes for the next 10 years from 7 percent to 2 percent. blue computers would like to take the tax break into consideration when planning its network. consider income over the next 10 years in your analysis. assume that all costs remain unchanged over the 10 years. use a discount factor of 0.1 for your analysis. annual fixed costs, production and shipping costs per unit, and current regional demand (before the 50 percent growth) are shown in table 5-13. (a) if blue computers sets an objective of minimizing total fixed and variable costs, where should they build the new plant? how should the network be structured? (b) if blue computers sets an objective of maximizing after-tax profits, where should they build the new plant? how should the network be structured? variable production and shipping cost ($/unit) annual fixed cost northeast southeast midwest south west (million$) kentucky 185 180 175 175 200 150 pennsylvania 170 190 180 200 220 200 n. carolina 180 180 185 185 215 150 california 220 220 195 195 175 150 demand ('000 units/month) 700 400 400 300 600