Robotic warehouses have transformed logistics, prioritizing speed and efficiency. However, traditional static priority systems often leave low-priority customers facing excessive delays, raising concerns about fairness. This research, based on Invia, a robotic warehouse company, proposes a dynamic priority allocation model to balance efficiency and fairness. By adjusting order priorities over time, this approach ensures that both high-priority and long-waiting low-priority orders receive timely fulfillment. Through stochastic modeling and simulations, we demonstrate that dynamic prioritization reduces delays compared to static and first-come, first-served (FCFS) models. Case studies in e-commerce and healthcare logistics illustrate the broader impact of fairness in automation. As industries increasingly rely on AI-driven decision-making, the balance between efficiency and equity becomes critical. This research challenges the assumption that robotic warehouses should optimize for speed alone and advocates for a future where fairness plays a central role in automated commerce.
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Managerialism is the concentration of power in the hands of managers, at the expense of other stakeholders within an organization. It thrives on a weakening of the professional authority of those who carry out the mission of their company or administration, which is replaced by the power of those who believe they know best and decide everything accordingly. Managers are tasked with setting collective objectives and deciding on the means to achieve them. Resisting managerialism, therefore, means restoring the authority of those who can explain and justify the why and how of what they do or propose to do.
- Management Dictionary
- Governance, History of Management, Human Resources Management