Advanced Analytics for Operations Optimization

Optimize your operations performance and advance strategic decision-making skills.
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DATES: May 16-19, 2017

LOCATION: 

Carnegie Mellon University – Tepper School of Business
Executive Education
Pittsburgh, PA 15213

Lead your organization to growth with advanced operations analytics.

As an experienced operations manager, you understand that superior analytic capability spells competitive advantage – and success. Carnegie Mellon’s Advanced Analytics for Operations Optimization program uniquely features top-ranked Tepper School of Business professors with a keen focus on immediate impact for participants. 

Throughout the four-day program, participants apply advanced analytics models to challenges from their own organizations to generate real-time solutions and successful implementation.

Key objectives:

  • Build superior analytic and managerial capabilities for enhanced planning, strategic decision-making and organizational performance.
  • Master state-of-the-art analytics tools and techniques to achieve competitive advantage.
  • Understand machine learning approaches for operations decision support.
  • Integrative analytics: Learn how marketing and operations analytics work together for enterprise performance.

COMPANION MARKETING ANALYTICS PROGRAM

Effective organizations integrate functional teams for success.The Advanced Analytics for Operations Optimization program will run in tandem with an Advanced Analytics for Marketing track. Attend with colleagues from marketing to develop capabilities across the organization. Learn More.

  • Program Overview

    As more sophisticated analytical techniques make it possible to harness the power of data for better decision making, business leaders increasingly need a deeper understanding of how analytics impact business results. Advanced Analytics for Operations Optimization offers the opportunity to grow your statistical analysis, work with new operations models and consider how advanced analytics can impact inventory decision, improve supply chain procedures and drive financial performance. 

    Through interactive lectures by leading faculty and guest experts, case study examination and more, the Advanced Analytics program will boost both your quantitative analytic and managerial leadership skills, allowing you to lead your organization to growth.

    Pre-Program

     Online Preparation

    May 16, 2016

     

    Opportunity for Analytics

    - Model types

    - Data appreciation

    - Exploratory analysis

     

    May 17, 2016

     

    Descriptive and Predictive Analytics

    - Consumer analytics

    - Demand forecasting

    - Advanced routing and planning

     

    May 18, 2016

     

    Prescriptive Models

    - Machine learning techniques

    - Data mining optimization

    - Monetizing analytics

     

    May 19, 2016

     

    Integrating Analytics

    - Expanding impact

    - Translation to business partners

     

     

    * Program topics subject to change

     


    Companies Aricent, Bayer, BMW Group, Boeing, Bosch Group, Caterpillar, Coal India, Cognizant, Coromandel, Eicher Motors, Enzen Technologies, Genpact, iBanx, IBM, Joy Mining, Kennametal, Kirloskar Brothers Ltd., Komatsu Ltd., Mahindra & Mahindra, NEC Corporation, Nissan, NTT East Corporation, ProMetal RCT, PSA Peugeot Citroen, Qatar Telecom, Renault, Rinnai Corporation, Scania, Seagate, Sun Microsystems, SupplyOn AG, Swiss Automotive Group AG, Syngene International, Tata, Toyota Motor Corporation, Volvo Eicher Commercial Vehicles, Vulcano Termodomésticos SA
    Industries Aerospace & Defense, Agro Industry, Automotive, Building Technology, Chemicals & Pharmaceuticals, Consumer Goods & Electronics, Energy & Mining, Finance & Banking, Heavy Industry, Information Services, Industrial Technology, Media, Security Systems, Service Industries, Telecommunications
    Countries Austria, Belgium, Brazil, China, France, Germany, India, Italy, Japan, Netherlands, Panama, Portugal, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, United Kingdom, United States

    Companies Aricent, Bayer, BMW Group, Boeing, Bosch Group, Caterpillar, Coal India, Cognizant, Coromandel, Eicher Motors, Enzen Technologies, Genpact, iBanx, IBM, Joy Mining, Kennametal, Kirloskar Brothers Ltd., Komatsu Ltd., Mahindra & Mahindra, NEC Corporation, Nissan, NTT East Corporation, ProMetal RCT, PSA Peugeot Citroen, Qatar Telecom, Renault, Rinnai Corporation, Scania, Seagate, Sun Microsystems, SupplyOn AG, Swiss Automotive Group AG, Syngene International, Tata, Toyota Motor Corporation, Volvo Eicher Commercial Vehicles, Vulcano Termodomésticos SA
    Industries Aerospace & Defense, Agro Industry, Automotive, Building Technology, Chemicals & Pharmaceuticals, Consumer Goods & Electronics, Energy & Mining, Finance & Banking, Heavy Industry, Information Services, Industrial Technology, Media, Security Systems, Service Industries, Telecommunications
    Countries Austria, Belgium, Brazil, China, France, Germany, India, Italy, Japan, Netherlands, Panama, Portugal, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, United Kingdom, United States

  • Participants

    This program is ideal for experienced Operations Managers from a broad range of industry sectors.

    • Ideal industries include: consumer packaged goods; chain retail; aerospace; airlines; oil, gas and chemicals to name a few.
    • Managerial functions that include: supply chain planning; production planning; logistics; forecasting; inventory; and operations analysis.
  • Featured Faculty

    Advanced Analytics for Operations Optimization will be led by distinguished professionals and faculty members from across Carnegie Mellon University. 

    Dr. Michael Trick, Senior Associate Dean, Faculty and Research and Higgins Professor of Operations Research

    • Operations research; sports scheduling; integer programming

    Willem-Jan van Hoeve, Carengie Bosch Associate Professor of Operations Research

    • Operations research; optimization; constraint programming; hybrid solution methods; decision diagrams for optimization; real-world applications of vehicle routing and scheduling

    Sridhar Tayur, Ford Distinguished Research Chair and Professor of Operations Management

    • Healthcare operations; supply chain management; enterprise analytics and software; private equity and lean operations; entrepreneurship and social enterprises

    Alan Montgomery, Associate Professor of Marketing

    • Electronic marketing; clickstream analysis; price optimization; Bayesian statistics; decision theory

    R. Ravi, Andris A. Zoltners Professor of Business, Rohet Tolani Distinguished Professor, Professor of Operations Research and Computer Science

    • Operations research
  • Fee and Terms

    Fee: The program fee of $4,900 per participant covers instruction, course materials, coaching and most meals. A non-refundable $250 deposit will be invoiced at the time of registration. The balance of the program fee is due prior to the start of the program.

    Accommodation: Logistic details will be communicated to participants after registration. Cost of accommodation is not included in the program fee. Recommendations for local hotel options can be provided, however rooms reservations and transportation are the responsibility of the participant.

    Cancellation policy:

    • All requests to cancel must be received in writing.
    • Qualified substitutes for registration can be accommodated.
    • Cancellations forfeit the deposit fee.