Key takeaways
The position focuses on an ambitious and current topic: human-centric decision-making in the domains of Industrial Engineering (IE) / Operations Research (OR) / Operations Management (OM). These domains have contributed substantially to the fields of supply chain management, logistics, transportation, production planning, and healthcare management. However, approaches, methods, and models often neglect the role of humans in the development, implementation, and impact of IE/OR/OM technologies. We are looking for candidates who are willing to narrow this gap.
The challenge
Optimization methods, mathematical models, data-driven methods, decision support tools, predictive models, forecasting tools, and related solutions often do not involve humans or only involve humans in a later stage, like during testing. Also, there is often little consideration for the impact of decisions on humans, their behavior, and well-being. Instead, the focus is mostly on profit maximization. In this research, we place the human decision-maker at the center of the decision-making process and transition from the current Industry 4.0 cyber-physical system approach to a human-centric, sustainable, and resilient Industry 5.0 approach.
For this research, using case studies from supply chain planning, production scheduling, and health care management, we aim to develop new theories, methods, and modeling approaches to find answers to questions like:
- How can we use human-centric OR/AI to directly reduce manual workload (administrative burden) while leaving high-value tasks to the human decision-maker?
- Can we incorporate decision-makers’ skills and knowledge while developing decision models/tools? How can we involve a decision maker in formulating an optimization problem when the decision maker may lack the technical skills of the model/tool?
- How can we exploit the useful information embedded in the data to the maximum extent while protecting critical information or data privacy?
- Can we include human needs in a better way in the OR/AI models to distribute workloads among employees to prevent unfair work distributions, and possibly employee burnout?
- How can we help decision-makers make complex decisions with high risk, uncertainty, and ethical dilemmas?
- By involving decision makers earlier in the design process of decision support systems, can we build trust in and acceptance of users?
Are you interested in making this transition towards human-centric thinking in operations management?