Which decision support model aims to assist in identifying problems within WLC?

The decision support model that specifically aims to assist in identifying problems within a Whole Life Costing (WLC) framework is the problem-solving model. This model is designed to systematically approach and break down issues, allowing stakeholders to recognize challenges that may arise throughout the entire lifecycle of a product or service. By analyzing various components, such as costs, benefits, and potential impacts, the model facilitates a clearer understanding of problems that need addressing, which is crucial for effective decision-making.

In the context of Whole Life Costing, the emphasis is on evaluating all costs associated with a product or service from its inception through to disposal. A problem-solving model effectively guides users in pinpointing where inefficiencies or issues may lie within this comprehensive costing process, ultimately leading to more informed and strategic decisions.

While the other options present useful frameworks and methodologies, they do not primarily focus on identifying problems in the same structured way that the problem-solving model does. Cost-Effective Analysis typically compares costs and benefits, Decision Matrix Analysis is used for evaluating and prioritizing options based on specific criteria, and Computational Models are mathematical or simulation-based approaches that may not directly address problem identification within WLC. Thus, the problem-solving model stands out as particularly suited for this purpose.