Research Areas
- Artificial Intelligence and Machine Learning
- Operations Management
- Operations Research and Decision Analysis
- Supply Chain Management
- CAD/CAM/CAPP
- Advanced Manufacturing and Materials Engineering
- Ergonomics and Safety Management
- Industrial Automation and Robotics
- Multidisciplinary System Analysis and Design
- Prognostics and Health Management
Artificial Intelligence and Machine Learning
Artificial intelligence focused on three cognitive skills: learning, reasoning, and self-correction, is a system that works by ingesting large amounts of labeled training data, analyzing the data for correlations and patterns, and using these patterns to make predictions about future states. It is the simulation of human intelligence processes by machines, especially computer systems, where large amounts of data are filtered, and predictions are made more quickly and accurately. Machine learning is a branch of artificial intelligence (AI) and computer science that focuses on building algorithms that can receive input data and use statistical analysis to predict an output value within an acceptable range. Industrial and manufacturing engineering challenges can be solved using a variety of machine learning methods, such as Artificial Neural Networks (ANN), Support Vector Machines (SVM), Naive Bayes, K-Nearest Neighbors, K-Means Clustering, Random Forest, and others.
Faculty members who perform research in this area
Operations Management
Operations management is an area of management concerned with designing, decision-making, and controlling the processes of production and redesigning business operations in the production of goods or services. It involves the responsibility of ensuring that business operations are efficient in terms of the acquisition of fewer resources and effectively meeting customer requirements. It handles various strategic issues, including project management methods, implementing the structure of information technology networks, management of inventory levels, quality control, materials handling, and maintenance policies. Operations management is concerned with formulating realistic models of these issues and solving such decision problems, which develops new theory and techniques and thus impacts a large variety of manufacturing and service industries.
Faculty members who perform research in this area
Operations Research and Decision Analysis
Operations research (OR) is a group of analytical methods of problem-solving and decision-making that is useful in the management of organizations. In operations research, problems are broken down into basic components and then solved in defined steps by mathematical analysis. Analytical methods used in OR include mathematical logic, simulation, network analysis, queuing theory, game theory, etc. The main goal of operations research is to find the best or optimal solution given the available resources.
Decision analysis is a management technique in which statistical tools such as decision tree analysis, multivariate analysis, and probabilistic forecasting are applied to the mathematical models of real-world problems. The objective of a decision analysis is to discover the most advantageous alternative under the circumstances.
Faculty members who perform research in this area
Supply Chain Management
Supply chain management (SCM) is the centralized control of the flow of goods and services, including all processes that transform raw materials into finished goods. The area of research can be divided into a few broad sub-research areas: supply management, purchasing, procurement, operations, demand management and logistics, transportation & distribution management, and sustainability in supply chains. Research focuses on inventory rationalization, managing upstream suppliers to obtain the highest values, understanding customer demands, forecasting future needs and identifying trends, and looking into optimum solutions for minimizing the total cost of logistics, transportation and distribution operations.