Your customer has opened a new store Alster Adventures and wishes to profit from your new initiative, which promises one free off-road helmet for each mountain bike ordered. A single position can be marked as Free of Charge Item (TANN) within the Item detail view of a standard order. Please note that off-road helmets belong to a different division. Create a new customer Alster Adventures by copying from Alster Cycling (Debtor 14000). Your new customer should to be supplied from the factory in Hamburg (HH00) via the sales organization Germany North (DN00). Remember that in Europe, the EURO is the usual currency. Notice that you thus need to expand the rights of your customer Alster Adventures to the effect that the company can release cross-division orders for the division accessories and cross-division.

Select the statement that indicates tina's company is a partnership. tina jones is a dancer specializing in latin dance styles. she always wanted to have her own dance studio where she could teach dancing to young and old alike. in 2006, she opened her first dance studio, electric diva, in madison triangle. it was a great choice as a business location because it's well-connected by highways to most places in the city. she leased the space for three years. her initial investment included a good sound system, cheerful interior design, and strong flooring. to raise capital for the business, tina turned to her brother-in-law, philip. philip made half the financial investment. he manages the accounts and social media needs of the business. he has a 30% share in trisha's business. together, they expanded the business to three dance studios in the city and plan to open franchises in other cities.

The following information relates to the pina company. date ending inventory price (end-of-year prices) index december 31, 2013 $73,700 100 december 31, 2014 100,092 114 december 31, 2015 107,856 126 december 31, 2016 123,009 131 december 31, 2017 113,288 136 use the dollar-value lifo method to compute the ending inventory for pina company for 2013 through 2017.

Asupermarket has been experiencing long lines during peak periods of the day. the problem is noticeably worse on certain days of the week, and the peak periods are sometimes different according to the day of the week. there are usually enough workers on the job to open all cash registers. the problem is knowing when to call some of the workers stocking shelves up to the front to work the checkout counters. how might decision models the supermarket? what data would be needed to develop these models?