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Using Little's Law, one can calculate throughput with the equation: = where: I is the number of units contained within the system, inventory; T is the time it takes for all the inventory to go through the process, flow time; R is the rate at which the process is delivering throughput, flow rate or throughput.
Throughput (T) is the rate at which the system produces "goal units". When the goal units are money [ 9 ] (in for-profit businesses), throughput is net sales (S) less totally variable cost (TVC), generally the cost of the raw materials (T = S – TVC).
Given an arrival rate λ, a dropout rate σ, and a departure rate μ, length of the queue L is defined as: L = λ − σ μ {\displaystyle L={\frac {\lambda -\sigma }{\mu }}} . Assuming an exponential distribution for the rates, the waiting time W can be defined as the proportion of arrivals that are served.
In business and for engineering economics in both industrial engineering and civil engineering practice, the minimum acceptable rate of return, often abbreviated MARR, or hurdle rate is the minimum rate of return on a project a manager or company is willing to accept before starting a project, given its risk and the opportunity cost of forgoing other projects. [1]
Formally, exchange-rate pass-through is the elasticity of local-currency import prices with respect to the local-currency price of foreign currency. It is often measured as the percentage change , in the local currency , of import prices resulting from a one percent change in the exchange rate between the exporting and importing countries. [ 1 ]
In addition to the absolute pass-through that uses incremental values (i.e., $2 cost shock causing $1 increase in price yields a 50% pass-through rate), some researchers use pass-through elasticity, where the ratio is calculated based on percentage change of price and cost (for example, with elasticity of 0.5, a 2% increase in cost yields a 1% increase in price).
Multiplying the set of processes would give you Rolling throughput yield (RTY). RTY is equal to FPYofA * FPYofB * FPYofC * FPYofD = 0.8500 * 0.8889 * 0.8125 * 0.8267 = 0.5075 Notice that the number of units going into each next process does not change from the original example, as that number of good units did, indeed, enter the next process.
In economics, an input–output model is a quantitative economic model that represents the interdependencies between different sectors of a national economy or different regional economies. [1] Wassily Leontief (1906–1999) is credited with developing this type of analysis and earned the Nobel Prize in Economics for his development of this model.