Marin's friendly local game store!

Shopping cart

Your cart is currently empty

Product image slideshow Items

  • Eagle-Gryphon Games Kanban EV
  • Eagle-Gryphon Games Kanban EV
  • Eagle-Gryphon Games Kanban EV
  • Eagle-Gryphon Games Kanban EV
  • Eagle-Gryphon Games Kanban EV
  • Eagle-Gryphon Games Kanban EV

Kanban EV

$134.99
Excl. tax

Designed by Vital Lacerda

Ages 14+
1-4 players
60-150 minute playtime
4.35/5 complexity

Economic, Industry / Manufacturing, Action Points, Hand Management, Variable Phase Order, Worker Placement

In stock

Kanban EV is a game that focuses on resource and time management; and puts you in the driver’s seat of an entire production facility, racing for factory goals and the highest level of promotion. You will earn Production Points (PP) for performing various actions in the game, and the player with the most PP at the end of the game is declared the winner.

Electric Vehicles (EVs) have become more common since 2014. EV’s are the future of the automobile industry. They are superior vehicles due to being more efficient, easier to maintain, cleaner, and are cheaper to run. They are computerized machines that use AI to improve safety and in the near future will provide autonomous driving. They receive software upgrades during their lifetime and are constantly improving, unlike their traditional combustion engine counter parts, which start to become obsolete as soon as you start using them.

Over the course of the game, players take on the role of novice supervisors, trying to secure their careers. You will need to manage suppliers and supplies, improve and innovate automobile parts, and get your hands greasy on the assembly line in order to boost production and impress the factory manager.

You must make shrewd use of the recycling facilities and the limited factory supplies in order to appropriate parts when the suppliers come up short. Because the factory must run at optimum efficiency, production doesn't wait for you, or for mistakes.

Designer: Vital Lacerda / Hand Management / Medium-Heavy Complexity