Goal Programming (GP) is a popular optimization technique that can be effectively deployed in situations involving conflicting objectives. GP assigns target/threshold values for the individual goals and then minimising deviation from the goal. In addition to GP, managers may also employ multi-attribute decision making techniques like AHP, ANP, TOPSIS, PROMETHEE, etc for prioritising decision alternatives.

Define the Decision Context and Objectives Assess Data Availability and Quality Evaluate Decision Complexity and Uncertainty Consider Stakeholder Involvement and Preferences Identify Computational Requirements and Resources Match Technique to Decision Time Horizon By aligning the choice of decision analysis technique with these factors, you can ensure that your approach effectively addresses the problem's complexities and supports well-informed decisions.

The key bit here is "how to choose the right decision analysis technique". That depends on the type of conflict you are dealing with. As others have said Multi Criteria Decision Analysis is useful, particularly in situations where the conflict is socially or politically induced. Numbers help and analytics can inform deciding on criteria and weightings but sometimes a surfacing of perceptions is needed. Needs ellicitation through problem structuring can help but must be chosen carefully.

There are some points to choose a right DA techniques such as: - if there is a relationship between the criteria; - Decision context and Objectives - A number of experts - Data Availability - Types of data

Naviguer entre des objectifs stratégiques contradictoires exige une approche d'analyse décisionnelle rigoureuse, équilibrant les priorités et tenant compte des implications à court et long terme. On peut procéder à l'analyse multicritères, SWOT, l'arbre décisionnel.....