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Some practitioners of PCM are mostly concerned with the cost of the product up until the point that the customer takes delivery (e.g. manufacturing costs + logistics costs) or the total cost of acquisition. They seek to launch products that meet profit targets at launch rather than reducing the costs of a product after production.
Price optimization utilizes data analysis to predict the behavior of potential buyers to different prices of a product or service. Depending on the type of methodology being implemented, the analysis may leverage survey data (e.g. such as in a conjoint pricing analysis [7]) or raw data (e.g. such as in a behavioral analysis leveraging 'big data' [8] [9]).
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 this method, multiple product attributes are specified and then tested with consumers. Due to complex interaction effects between different attributes (for example, consumers frequently associate certain flavors with packaging colors), it is problematic to use mathematical methods, such as Conjoint Analysis, typically used in industrial ...
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]
In linear programming, reduced cost, or opportunity cost, is the amount by which an objective function coefficient would have to improve (so increase for maximization problem, decrease for minimization problem) before it would be possible for a corresponding variable to assume a positive value in the optimal solution.
Process optimization is the discipline of adjusting a process so as to make the best or most effective use of some specified set of parameters without violating some constraint. Common goals are minimizing cost and maximizing throughput and/or efficiency. Process optimization is one of the major quantitative tools in industrial decision making.
Cost function In economics, the cost curve , expressing production costs in terms of the amount produced. In mathematical optimization, the loss function , a function to be minimized.