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Early decision models used with structured decisions, such as inventory reordering and production scheduling, emphasized finding the structure of the decision and programming as much of it as possible. More recent models have been developed to support unstructured decision processes. Models of the latter type are called_______

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Final answer:

Recent models that support unstructured decision processes, such as inventory reordering and production scheduling, are known as Decision Support Systems (DSS). These systems help in complex decision-making where traditional structured methods don't suffice, providing a better framework for analyzing options and making informed decisions.

Step-by-step explanation:

More recent models developed to support unstructured decision processes in areas such as inventory reordering and production scheduling are referred to as decision support systems (DSS). Unlike early decision models that were structured and programmed for specific scenarios, Decision Support Systems facilitate more complex, unstructured problem-solving and can aid in the understanding and analysis of these problems. Emphasizing flexibility, they accommodate the intricacies of decision-making processes and support the decision-makers in situations where the problems do not have straightforward solutions.

Using a structured decision process is advantageous, especially in product design, because it offers a documented framework for team decision-making. It ensures that all ideas are evaluated systematically and that the selected concept meets all constraints and criteria. On the other hand, unstructured decision-making processes, which can be supported by Decision Support Systems, are crucial in contexts where information is less definitive and decisions cannot easily be programmed in advance.For situations where classic economic models of decision-making do not neatly apply, such as when people or organizations are confronted with complex choices without clear utility maximization, Decision Support Systems provide a robust platform for analysis. These systems may use tools like cost/benefit analysis to weigh the pros and cons of various options, ensuring that a comprehensive and considered decision is made.

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