Case I$*-$ Improving Delivery Operations at Bleems through AI

Artificial Intelligence $($AI$)$ is transforming the way products are delivered, and it will continue to

have a significant impact on the logistics and supply chain industry. Accordingly, Bleems has

decided to implement $AI$ in to improve their delivery operations. From route optimization, to

demand forecasting, warehouse automation and customer experience, Bleems believe AI will

help them process more customer orders within the day.

This case study will explore how balancing the numerous tasks done by AI & humans can help

Bleems improve their delivery operations in terms of efficiency and throughput.

Accordingly, your team is tasked with designing the most suitable assembly line, based on the

tasks outlined in the Table below. The focus of your plan will be on the period after Fotoor; i$.$e$.8$

$pm-11pm.$ The times below are based on one operator handling the AI systems.

a$)$ In case Bleems wanted to run the $8-11$ pm shift with only one operator, how many orders

can be processed during that shift? What is the cycle time associated with this arrangement?

b$)$ Bleems would like to increase the number of orders processed to $10$ orders$/$shift$.$ How many

actual operators will be needed to achieve this target and what will be the time needed for

every order? What is the efficiency of this arrangement?

c$)$ In order to be able to process even more orders, Bleems can increase their commitment to $7$

operators. Your team should design a system that will process the maximum number of

orders with $7$ operators. What is the efficiency of the new system? Number of orders?