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the relative efficiency gains resulting from different systems of management, organization, co-ordination or engineering. the productive effects of some forms of labour on other forms of labour. These aspects of productivity refer to the qualitative dimensions of labour input. If an organization is using labour much more intensely, one can ...
Productivity is the efficiency of production of goods or services expressed by some measure. Measurements of productivity are often expressed as a ratio of an aggregate output to a single input or an aggregate input used in a production process, i.e. output per unit of input, typically over a specific period of time. [1]
Material efficiency is a description or metric ((Mp) (the ratio of material used to the supplied material)) which refers to decreasing the amount of a particular material needed to produce a specific product. [1] Making a usable item out of thinner stock than a prior version increases the material efficiency of the manufacturing process.
Cost Efficiency: Analyzing the cost to produce a unit of product or service is crucial. This involves monitoring direct costs, indirect costs, and overheads to ensure optimal spending. Overall Equipment Effectiveness (OEE): This is used mainly in manufacturing to evaluate how effectively a piece of equipment is used. It combines availability ...
Productive efficiency is an aspect of economic efficiency that focuses on how to maximize output of a chosen product portfolio, without concern for whether your product portfolio is making goods in the right proportion; in misguided application, it will aid in manufacturing the wrong basket of outputs faster and cheaper than ever before.
The equation below (in Cobb–Douglas form) is often used to represent total output (Y) as a function of total-factor productivity (A), capital input (K), labour input (L), and the two inputs' respective shares of output (α and β are the share of contribution for K and L respectively).
In statistics, efficiency is a measure of quality of an estimator, of an experimental design, [1] or of a hypothesis testing procedure. [2] Essentially, a more efficient estimator needs fewer input data or observations than a less efficient one to achieve the Cramér–Rao bound .
The main reason for the increasing returns to scale is the increase in production efficiency due to the expansion of the firm's production scale. A firm's production function could exhibit different types of returns to scale in different ranges of output.