Laharish Guntuka Headshot

Laharish Guntuka

Assistant Professor

Department of Management
Saunders College of Business

585-475-2266
Office Location

Laharish Guntuka

Assistant Professor

Department of Management
Saunders College of Business

585-475-2266

Areas of Expertise

Currently Teaching

DECS-310
3 Credits
A survey of operations and supply chain management that relates to both service- and goods- producing organizations. Topics include operations and supply chain strategies; ethical behavior; forecasting; product and service design, including innovation and sustainability; capacity and inventory management; lean operations; managing projects; quality assurance; global supply chains; and the impacts of technology.
DECS-489
3 Credits
Special topics seminars offer an indepth examination of current events, issues and problems unique to decision science. Specific topics will vary depending upon student and faculty interests and on recent events in the business world. Seminar topics for a specific semester will be announced prior to the course offering. These seminars may be repeated for credit since topics will normally vary from semester to semester.
DECS-743
3 Credits
Study of the management of operations and supply chain management. Encompasses both manufacturing and services. Topics include operations and supply chain strategy, ethical behavior, forecasting; work systems, inventory management, capacity and materials planning, lean operation, supply chain design and closed-loop supply chains, global operations, quality management, quality control, and quality improvement, project management; and current issues.
DECS-750
3 Credits
This course provides an overview of quantitative supply chain modeling and analysis. Accordingly, this course will discuss several strategic, tactical, and operational concepts used in improving the distribution of goods and services throughout the supply chain. The course emphasis is on understanding when and how to use these mathematical programming and optimization methods as well as how to interpret the results for actionable information.

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