Natalia Santamaría teaches classes in project management and operations management for non-business graduate students. Her research, which focuses on competitive bidding and decision making under competition and uncertainty, has been published in Management Science, Manufacturing & Service Operations Management, and Production and Operations Management. Prior to joining Johnson in 2014, she was an assistant professor in the industrial engineering school at Universidad de Los Andes in Colombia. She earned a BS and an MSc in industrial engineering from Universidad de Los Andes, an MSc in operations research from Rutgers University, and a Ph.D. in supply chain management and operations research from the Pennsylvania State University.
Operations
AnalyticsCornell Certificate Program
Overview and Courses
Effective data-driven analysis in your teams requires decision support tools that can aid you in making strategic managerial choices for your organization. Having the ability to design these tools can set you apart and provide the foundation for smart operational decisions in your organization.
This program provides you with the skills to analyze performance in three key areas of operations management: process analysis, queuing analysis, and inventory analysis. Through this program, you will use process and queuing analysis concepts and design solutions in Microsoft® Excel to calculate metrics that can be used to evaluate the performance of current processes within your organization. You will also assess different methods to manage inventory and determine when and how to use them. Finally, you will be introduced to new approaches to aid decision making in operations settings: optimization, Monte Carlo simulation, and decision trees. By the end of this program, you will have the skills to analyze operations in your organization and enable your teams to make better decisions.
To be successful in these courses, you should have basic knowledge of probability and statistics, including confidence intervals and basic algebra. You should also have intermediate knowledge of Excel formulas and functions, including, but not limited to, creating graphs, nesting functions, sorting, and linking.
The courses in this certificate program are required to be completed in the order that they appear.
Course list
Most organizations, whether for profit or nonprofit, seek to optimize efficiencies and maximize the use of their resources. In operations management, one key responsibility is to regularly assess the processes within the work system to ensure resources are appropriately used and aligned to best achieve the goals of the organization.
In this course, you will consider how to analyze an operational process with the purpose of determining its current capacity and potential improvement opportunities. You will start by defining a process graphically then assess the capacities of the resources within it along with the process as a whole. The course culminates with identifying and evaluating different options to improve performance. Along the way, you will create a decision support tool in Microsoft Excel, applying the course concepts to your tangible skills for your work and beyond.
Minimizing wait time is often considered a critical element in maximizing customer satisfaction. Yet managing wait time can be especially difficult in some processes because there can be significant variability in arrival and processing times. A well-designed queueing system can help manage wait time and customer satisfaction, even in situations of high variability.
In this course, you will discover how queueing can be managed effectively through the use of various tools. You will have opportunities to explore, develop, and utilize decision support tools as you consider the customer experience beyond wait times. By the end of this course, you will have broader perspectives on customer satisfaction and the tools needed to understand and affect it.
You are required to have completed the following courses or have equivalent experience before taking this course:
- Process Performance
Strong operational performance depends on shrewd inventory management decisions, and there are several individual considerations that go into selecting and implementing an overall plan that will work for an organization. In this course, you will explore two classic models for managing inventory and consider how choosing the appropriate model can vary depending on the goals and needs of the organization. You will apply your understanding of these concepts to build a decision-making tool and apply it to real-world business decisions.
You are required to have completed the following courses or have equivalent experience before taking this course:
- Process Performance
- Queueing Analysis
Decision making is an indispensable professional skill for those working in an operations management setting. In this course, you will explore three different tools that aid in the development and implementation of this key skill. You will examine each method and see how each is meant to be used in resolving decision problems related to production, inventory, and risk. By the end of this course, you will have gained applicable skills that support your operations management work across any industry.
You are required to have completed the following courses or have equivalent experience before taking this course:
- Process Performance
- Queueing Analysis
- Inventory Management Analysis
How It Works
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Faculty Author
Key Course Takeaways
- Improve process efficiency by identifying bottlenecks and analyzing the impact of proposed corrective actions
- Analyze operations with variability in arrival and service times by determining the appropriate performance metrics
- Identify the appropriate inventory policy for a given product or service
- Design Microsoft Excel-based decision support tools for operations settings
Download a Brochure
Not ready to enroll but want to learn more? Download the certificate brochure to review program details.What You'll Earn
- Operations Analytics Certificate from Cornell's SC Johnson College of Business
- 64 Professional Development Hours (6.4 CEUs)
Watch the Video
Who Should Enroll
- Operations leaders
- Team members responsible for building and improving operations processes
- Individual contributors and leaders who build data models to support decision making
- Data analysts
- Anyone seeking foundational quantitative skills through an operations lens
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Operations Analytics
Select Payment Method | Cost |
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$3,750 | |