Dana McAllen is a member of the urban exploration association that is currently investigating remnants of the worlds previous civilization. She initially made her debut in the Tunnelrunners side comic. She has been Ian's closest friend since early childhood, and is still his closest confidant.
Thorondor “Ian” Caladharas is the 18 year old heir to one of the first of the Merchant Houses. An intelligent, independent teenager; Ian has a tendency towards irreverence and and frustration. In all honesty, he doesn’t care what his grandfather says he is heir to, he just wants to have a normal life. Or at least as normal a one as possible. (As my skills improved I made some revamps to this characters appearance to reflect aging and such as well. The top picture is how he is currently modeled. )
Julia Wells, significant other of Ian Caladharas. Julia co runs the Wells Hotel in Erech’s Clocktower District. For those people who have rpg’d in this world: The Wells Hotel is now known as Cytheron’s. Julia and Ian tied the knot in the City of Greyrest in the Crossing Territories.
And that is basically what I do for a living as a data solutions engineer. Work through mass quantities of data (one to two years of order files in the beverage distribution industry) and focus on the numbers needed by our design engineers so they can design an automated pallet storage, case picking / palletizing solution that will cover present and projected needs for at least five years.
Main data points are sku length, width, height, weight, outgoing and incoming pallet size, truck size per route, incoming cases per layer, layers per pallet, cases per layer, customer delivery order on a route, whole pallet pulls for a customer, customer single sku layer pulls, sku fragility (does it have to be on top), etc.
I am currently working on the largest system we have ever done for a company that in 2013 sent out approximately 54 million cases of drink averaging 160,000 per day. Right now the design guys are saying it is at least a 6 robotic palletizer system with 3-4 robotic depalletizers. Our biggest to date only has 4 and 2.
And that is basically what I do for a living as a data solutions engineer. Work through mass quantities of data (one to two years of order files in the beverage distribution industry) and focus on the numbers needed by our design engineers so they can design an automated pallet storage, case picking / palletizing solution that will cover present and projected needs for at least five years.
Main data points are sku length, width, height, weight, outgoing and incoming pallet size, truck size per route, incoming cases per layer, layers per pallet, cases per layer, customer delivery order on a route, whole pallet pulls for a customer, customer single sku layer pulls, sku fragility (does it have to be on top), etc.
I am currently working on the largest system we have ever done for a company that in 2013 sent out approximately 54 million cases of drink averaging 160,000 per day. Right now the design guys are saying it is at least a 6 robotic palletizer system with 3-4 robotic depalletizers. Our biggest to date only has 4 and 2.