Operational Efficiency and Operational Optimization Questions and Answers

The weather has an impact on the procurement of grains and makes it very volatile.  In 1990 a poor harvest contributed to low inventories and sales volume.   Willis

Reflecting on the simulation one of the things that should have changed would have been changing the interval of the trucks so more of the product could have been transported from the

13) Refer to the table. What is the average number of customers in the queue plus the number being served?

Thus, from the above calculation, it can be exhibited that trucks have to wait to unload after 10.03 am for total 256.5 truck hours. The maximum number of trucks that will wait in a day will be 14.

* Will have to buy new dryers to account for increase in wet berries processed through dechaffing

Freight cost will reduce by Truck load and by using maximize the cube and also less than truck load shipment will reduce.

This paper will be focused specifically on the production of Driscoll’s red raspberries. I will be looking at their supplier Reiter Affiliated Companies, the labor conditions, wages, and difference between the conventional and organic raspberries. There has also been a movement to change the definition of organic and alternative foods so that it also includes the labor conditions. Therefore, there will be clearer difference between organic foods and nonorganic other than just environmental and sustainable differences between the two. The goal is to describe the production and process of distributing raspberries from the time they are planted until they are pick and then distributed in stores.

Sandra Enright of Techtronics Inc., an electronics supply firm, has been examining the times required for stock pickers to fill orders requested from inventory. She has determined that individual order-filling times approximately follow a normal distribution with a mean value of 3.2 minutes and standard deviation of 68 seconds.

The Truck arrival rate is at 20 Trucks/Hr. This year based on the numbers there is going to be 70% Wet and 30% Dry Berries.

* Loads were picked up from location A and delivered to one of 5 warehouses, placed on another truck with optimized route for location B (software driven route optimization)

At receiving plant no. 1 (RP1), trucks would arrive randomly throughout the day, with a random amount of berries, anywhere from 20 to 400 bbls. In order to utilize transport vehicles more effectively, there should be crews scheduled differently on peak days. It only takes 5 to 10 minutes to unload a

With the bottleneck occurring so early in the process, it is critical that the early steps become more efficient. Hiring more personnel for this step would help ease the back up here but more staff would also increase expenses at a time when the company is trying to reduce costs. An alternative fix would be schedule regular pick ups and deliveries to reduce the uncertainty and efficiency of the way drop offs are occurring. Additionally, if pickups were scheduled, costs could be reduced as LAA could rely on their six trucks to make 4 scheduled pick up/deliveries and could eliminate the need to outsource to a private company. Another thought to address this step is to completely outsource the pick ups, thereby eliminating the cost of truck fuel, maintenance and other expenses. The major problem with the current delivery system in place is that drop offs can occur at any time during a 16-hour work day.

* Last truck arrived (1140min) – First truck arrived (411min) = 729min (=1140 - 411) → 729min/60 = 12.15hrs (Total receiving time)

After running a process flow [see Exhibit 2], it becomes apparent that a main bottleneck exists at the

a) What would the receivables level be at the end of March and at the end of June?