Addressing uncertainty in coalition structure and profit allocation problems through stochastic programming: insights from the collaborative transportation problem

Key Points

• Profit allocation strategies highlight how collaboration can enhance overall efficiency, especially in transportation systems.
• Key findings include the application of stochastic programming to manage uncertainty in coalition structures and profit sharing.
• Assessment using stochastic programming identifies potential solutions to optimize transportation costs and profits across coalitions.
• Implications indicate that improved models may enhance decision-making processes in transportation logistics and other collaborative environments.