“I enjoy a lot to work with Sujoy. He certainly masters the fields of Supply Chain Management and Procurement both at the operational and the strategic level. During our work he expanded his responsibility into the global business, leading teams in China, Europe and Brazil. On top of his technical skill, Sujoy understands to listen to the various needs of his team members and to adjust his leadership still accordingly. Sujoy gains this way a lot of trust and respect.”
Activity
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Member Highlight: Janial Mack, RRO Q: How and when did you get involved with IIBEC? A: I have been an IIBEC member since 2010 and a Registered…
Member Highlight: Janial Mack, RRO Q: How and when did you get involved with IIBEC? A: I have been an IIBEC member since 2010 and a Registered…
Liked by Sujoy Sen
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Inspiring words from US Paraolympian Keith Gabel as The Hartford unveils new #Vision #iworkforthehartford
Inspiring words from US Paraolympian Keith Gabel as The Hartford unveils new #Vision #iworkforthehartford
Liked by Sujoy Sen
Experience
Education
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Penn State University
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Activities and Societies: Beta Gamma Sigma
Elective Courses: Managing Financial Operations; Investment & Portfolio Management; Derivative Securities; Financial Statement Analysis.
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Licenses & Certifications
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Certified in Planning and Inventory Management (CPIM)
Association for Supply Chain Management
IssuedCredential ID 172710
Publications
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Sensor Network Design of Linear Processes using Genetic Algorithms
Computers and Chemical Engineering, 22 (3), pp. 385-390.
A generalized sensor network design algorithm for finding the optimal placement of sensors in a linear mass flow process has been developed and implemented. The algorithm developed in this work is based on a combination of concepts drawn from graph theory and genetic algorithms. The sensor network is designed to optimize a single criterion of cost, reliability or estimation accuracy, using a minimum number of sensors. Application to a steam-metering network of a methanol plant demonstrates the…
A generalized sensor network design algorithm for finding the optimal placement of sensors in a linear mass flow process has been developed and implemented. The algorithm developed in this work is based on a combination of concepts drawn from graph theory and genetic algorithms. The sensor network is designed to optimize a single criterion of cost, reliability or estimation accuracy, using a minimum number of sensors. Application to a steam-metering network of a methanol plant demonstrates the versatility of this method.
Other authors -
Managing ERP Implementation
The Economic Times
Other authors
Languages
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English
Native or bilingual proficiency
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Hindi
Native or bilingual proficiency
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Bengali
Native or bilingual proficiency
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Spanish
Elementary proficiency
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Portuguese
Elementary proficiency
Recommendations received
5 people have recommended Sujoy
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