Como desenvolver uma solução de análise de decisão transparente e responsável?

In my experience, accurately defining the problem is critical in decision analysis. It involves a thorough understanding of the situation, the stakeholders involved, and the ultimate goals of the process. For instance, one time at work, we faced production inefficiencies. We began by clearly defining the problem, which was not just about reducing production time but also maintaining product quality.

Para la correcta identificación de los involucrados podemos usar la matriz de analisi de participación, lo que nos ayudara a identificar los problemas e intereses potenciales de los involucrados con el problema.

para una correcta identificación de los objetivos primero debemos de conocer nuestras causas y efectos que generar ese problema central desde allí poder realizar nuestra identificación de nuestros objetivos.

One thing I have found helpful is to clearly articulate the objectives and criteria for decision-making. This means not only identifying what we want to achieve but also setting benchmarks for success. For example, in a project aimed at optimizing supply chain logistics, we set objectives like cost reduction, delivery time minimization, and maintaining supplier quality standards.

In my experience, generating multiple alternatives and rigorously evaluating them against the set criteria leads to more robust decisions. One time at work, while dealing with a machine replacement decision, we considered various alternatives, including full replacement, partial upgrades, and maintenance interventions, evaluating each against factors like cost, efficiency, and downtime.

One thing I have found helpful is to explicitly consider uncertainties and risks in decision-making. For instance, when planning a new facility layout, we incorporated risk assessments related to potential delays in construction and variability in future production demands, using probabilistic models to understand potential impacts.

One time at work, after conducting a complex analysis for a new product line, the key to success was effective communication of the results. This involved not just presenting the final decision but also explaining the rationale, the analysis process, and how the decision meets the set objectives. This transparency in communication helped in gaining stakeholder buy-in.

You also need to understand the organisation's culture, expectations and boundaries prior to looking for solutions. Some offered solutions may not go hand in hand with the company's future outlook.

In my experience, it's important to consider the dynamic nature of industrial environments. Decisions made today might need re-evaluation tomorrow as circumstances change. One thing I have found helpful is to establish a process for periodic review of decisions, considering new data and changing market conditions, to ensure ongoing relevance and effectiveness.

Siempre debes considerar tu contexto, todas las partes interesadas y proyectarte a futuro que es lo que pasaria si realizas ese cambio.