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The manufacturing readiness level (MRL) is a measure to assess the maturity of manufacturing readiness, similar to how technology readiness levels (TRL) are used for technology readiness. They can be used in general industry assessments, [ 1 ] or for more specific application in assessing capabilities of possible suppliers.
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]
There are various important ERM frameworks, each of which describes an approach for identifying, analyzing, responding to, and monitoring risks and opportunities, within the internal and external environment facing the enterprise. Management selects a risk response strategy for specific risks identified and analyzed, which may include:
Supply-chain risk management is aimed at managing risks in complex and dynamic supply and demand networks. [1] (cf. Wieland/Wallenburg, 2011)Supply chain risk management (SCRM) is "the implementation of strategies to manage both everyday and exceptional risks along the supply chain based on continuous risk assessment with the objective of reducing vulnerability and ensuring continuity".
Modern risk management theory deals with any type of external events, positive and negative. Positive risks are called opportunities. Similarly to risks, opportunities have specific mitigation strategies: exploit, share, enhance, ignore. In practice, risks are considered "usually negative".
Identifying specific opportunities for defects (and therefore how to count and categorize defects) is an art [citation needed], but generally organizations consider the following when defining the number of opportunities per unit: Knowledge of the process under study; Industry standards
In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision-making for candidate transactions.
Typically, supply-chain managers aim to maximize the profitable operation of their manufacturing and distribution supply chain. This could include measures like maximizing gross margin return on inventory invested (balancing the cost of inventory at all points in the supply chain with availability to the customer), minimizing total operating expenses (transportation, inventory and ...