Soheil Sibdari

faculty

Soheil Sibdari, PhD

Professor

Decision & Information Sciences

Contact

508-999-8019

508-999-8646

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Charlton College of Business 230

Education

Virginia TechPhD in Industrial Engineering
Virginia TechMS in Economics
Shahid Beheshti UniversityBS in Computer Science

Teaching

  • Business Analytics
  • Operations Management
  • Logistics and Supply Chain Management

Teaching

Programs

Teaching

Courses

Principles and practices underlying the continuous improvement of quality in organizations. Students will be introduced to the concept of total quality management and learn to appreciate the importance of quality as a competitive strategy. Particular attention is given to philosophies and methods of organizing for quality and to quality improvement tools, including statistical process control.

Management of the flow of materials into, through, and out of operations in an international context. The course investigates how to manage such complexities as long distances, currency fluctuations, variable infrastructures, diverse cultures, political instability, and dissimilar legal systems. The value-adding activities of procurement, manufacturing/operations, and logistics/distribution are conceptualized as one integrated supply chain. By understanding various facets of the supply chain, this course will provide sufficient insight to analyze the challenges of configurations and coordination in a global environment.

Study under the supervision of a faculty member in an area covered in a regular course not currently being offered. Terms and hours to be arranged.

Teaching

Online and Continuing Education Courses

Principles and practices underlying the continuous improvement of quality in organizations. Students will be introduced to the concept of total quality management and learn to appreciate the importance of quality as a competitive strategy. Particular attention is given to philosophies and methods of organizing for quality and to quality improvement tools, including statistical process control.

An exploration of economic analysis and corporate finance concepts when it interacts with the adoption of new technology. Students are required to have basic macroeconomic and finance knowledge. The course considers new technology evaluation; cost of capital; firm valuation with new technology; the financial decision interaction with technology choice; strategic consideration and economic analysis; the short and long term economic analysis of technology adoption. The concepts that are analyzed in relation to organization problems are market domination, risk profile and analysis, the resolution of new technology risk, and market efficiency. The validity of analytical tools is tested based on the analysis of financial instruments and sustainable and nonsustainable market inefficiencies.

Management of the flow of materials into, through, and out of operations in an international context. The course investigates how to manage such complexities as long distances, currency fluctuations, variable infrastructures, diverse cultures, political instability, and dissimilar legal systems. The value-adding activities of procurement, manufacturing/operations, and logistics/distribution are conceptualized as one integrated supply chain. By understanding various facets of the supply chain, this course will provide sufficient insight to analyze the challenges of configurations and coordination in a global environment.

Techniques for the analysis and improvement of the value-adding activities of an organization. The course develops operational decision-making skills used under real-life conditions of uncertainty & incomplete information. Through analyzing cases & problems, exercising judgement, & resolving difficult challenges, students learn how to become leaders in the efficient & effective management of processes & projects. This course is relevant for managers in any manufacturing or service line of work who are concerned with continuous improvement.

Examines both descriptive and inferential statistics as applied to business. Topics include graphical and tabular methods of data presentation, probability theory and distributions, hypothesis testing, analysis of variance, regression and forecasting. Emphasis is placed on concepts, applications, and the proper use of statistics to collect, analyze, and interpret data. Throughout this course students will use computer software to perform statistical analyses. Students will learn how to make decisions using facts and the techniques of data analysis. Students will also use the internet to supplement classroom learning.