| dc.description.abstract | The online food retailing got more attention to itself with the global coronavirus outbreak. Online marketing growth rate reached above 40% in the lockdown months. It became more important to deliver the orders faster than opponents. This study examines one of the biggest food retails company’s in-store picking operation for workforce efficiency increase. The picker job description and daily work routines observed through observation forms. The results are validated by data extracted from the Collectify system, which is used for picking operation and has all the time stamp of picker’s action. Analyzing data and combining with the output of observation forms, the new picking model proposed for the fresh departments (meat, deli, fruit & vegetable) products. Having two weeks of trial and after realizing the results with the Collectify system data, the new model helped operating costs decrease by 7,7% in the picking operation. | us_US |
