- maximum rate of output per unit of time (e.g., number of pizzas/hour)
- units of resource availability (e.g., number of seats in McInnis Auditorium)
As many of your pointed out through your posts, capacity is relevant to both goods and services producing businesses. It can be impacted by facility size/location, process design, workstation or equipment. Watch this video for a helpful introduction.
It is important to distinguish capacity management from inventory management. When we're talking about capacity management, were talking about maximum rates of output or resources availability based on constraints imposed by the facility, process or workstation design, or equipment. Inventory availability will certainly impact our ability to run our processes at full capacity, but it does not determine capacity. For example, a movie theatre may have 500 seats (its capacity), but the number of customers may not fill the theatre at any one showing. This lower number of customers does not result in lower capacity.
The intent of today's assignment was to give you a head start on case study part 3, item 4: planning and control tools. Today's capacity management topic fits under that umbrella. See these posts in today's discussion board for helpful examples as you continue to develop your own final case study installment:
- Long and/or short term capacity management strategies: Andrew B., Lauren S., Michael G., Katie K.
- Short-term capacity management via labor skills mix: Jacob S., Mario M.
- Short-term capacity management via labor capacity & schedules: Edem A. & Xia C., then see Ryan's post for thoughts about the down side of this method over the long-term.
Finally, Kyle presents an example of a company that has created a distribution system with a large amount of capacity flexibility. What specific tools from Collier & Evans (2015), chapter 10, do you see at work in Kyle's example?
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