HUMAN DECISION-MAKING IN PRODUCTION PLANNING SYSTEMS: HOW DO SUPERIOR INFORMATION AND SYSTEMATIC BIAS IMPACT PERFORMANCE?

MARYAM AZANI

Abstract
Production planning systems support planners by providing information and suggestions. An effective system doesn't have to be complex; it should guide planners towards efficient production plans. Planners can leverage their expertise, intuition, and information beyond what the system offers, resulting in superior plans. However, cognitive biases and limited understanding of stochasticity hinder performance. This project explores the interaction between production planning systems and human decision-makers in stochastic environments and provides guidelines for designing behaviourally compatible systems.

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