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Every decision in the product development process affects cost: design is typically considered to account for 70–80% of the final cost of a project such as an engineering project [1] or the construction of a building. [2] In the public sector, cost reduction programs can be used where income is reduced or to reduce debt levels. [3]
Some economies of scale, such as capital cost of manufacturing facilities and friction loss of transportation and industrial equipment, have a physical or engineering basis. The economic concept dates back to Adam Smith and the idea of obtaining larger production returns through the use of division of labor. [2] Diseconomies of scale are the ...
This explains the non-linearity of learning-by-doing cost reduction, as seen for example in semiconductor manufacturing [3] or with solar PV production. [ 4 ] The concept of learning-by-doing has been used by Kenneth Arrow in his design of endogenous growth theory to explain effects of innovation and technical change. [ 5 ]
Target costing is defined as "a disciplined process for determining and achieving a full-stream cost at which a proposed product with specified functionality, performance, and quality must be produced in order to generate the desired profitability at the product’s anticipated selling price over a specified period of time in the future."
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).
Being one of the most important and integral operations in the engineering economic field is the minimization of cost in systems and processes. Time, resources, labor, and capital must all be minimized when placed into any system, so that revenue, product, and profit can be maximized.
While (ABC) Activity-based costing may be able to pinpoint the cost of each activity and resources into the ultimate product, the process could be tedious, costly and subject to errors. As it is a tool for a more accurate way of allocating fixed costs into a product, these fixed costs do not vary according to each month's production volume.
An example of experience curve effects: Swanson's law states that solar module prices have dropped about 20% for each doubling of installed capacity. [1] [2]In industry, models of the learning or experience curve effect express the relationship between experience producing a good and the efficiency of that production, specifically, efficiency gains that follow investment in the effort.