Operations

Featured Operations Articles

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How to (Inadvertently) Sabotage Your Organization

Stefan Thomke

Timeless shortcuts to inefficiency, courtesy of a pre-CIA field manual for destroying enemy organizations from the inside.

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Self-Driving Companies Are Coming

Barry Libert et al.

Automation can go far beyond cars. Self-driving company capabilities are closer than we realize.

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Digital Success Requires Breaking Rules

Jeanne Ross

Top-down management is good for building operational excellence but not rapid innovation.

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Why Sports Is a Great Proving Ground for Management Ideas

Paul Michelman

Because of its sharp focus on measurable outcomes, the study of sports analytics brings many of the most critical issues in management into high relief. Through the lens of sports, there is a great deal to learn about leadership, performance management, decision-making, innovation, and, most of all, managing with data. MIT SMR’s sports analytics podcast, Counterpoints, is a great entry point to the playing field of data-driven management practice.

The Drawbacks of Data Collection

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How Technology Is Changing Operations

Using AI to Enhance Business Operations

Monideepa Tarafdar and Paul Michelman

A webinar describing what companies need to effectively use AI and automation for operations.

Can Your Supply Chain Hear Me Now?

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Brian Subirana et al.

Conversational commerce has the potential to transform the business supply chain.

Transforming Manufacturing and Supply Chains With 4D Printing

Frontiers |

Monika Mahto and Brenna Sniderman

The next transformative emerging technology could be 4D printing.

Navigating a New Industrial Infrastructure

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Jason Killmeyer and Brenna Sniderman

Converging technologies are realigning how organizations operate in an increasingly connected world.

Putting Analytics to Work

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Demystifying Data Monetization

Suketu Gandhi et al.

Companies can monetize data internally to optimize operations and client services. They can also leverage that data across various client use cases.

RPA Robotic progress automatisation concept illustration. Human vs Robot.

Want the Best Results From AI? Ask a Human

Frontiers |

Bhaskar Ghosh et al.

Companies are adopting artificial intelligence at an accelerated pace — and learning that developing and deploying AI is not like implementing a standard software program. Before diving into AI systems, companies should consider three principles that can greatly improve the chances for a successful outcome. First, they need to recognize that humans and machines are in this together. Second, they need to teach the AI systems with a lot of data. And third, they need to continually test what the systems have learned.

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Video Series: Following the Digital Thread

Our eight-part video series explores how integrated digital technologies can transform business.

PROLOGUE: The Path Toward the Digital Enterprise

EPISODE 1: Revolutionizing Supply Chains

EPISODE 2: Creating a Smart Part and Managing Its Life Cycle

EPISODE 3: Augmenting Part Design With Topology Optimization

EPISODE 4: A Digital Safety Net

EPISODE 5: Fabricating Within the Digital Thread

EPISODE 6: Testing and Validation

EPISODE 7: How the Digital Thread Weaves Its Way Through the Business

EPISODE 8: The Digital Thread Takes Flight

EPILOGUE: Beyond Manufacturing

Learning to Love the AI Bubble

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May 15, 2019 | Philipp Gerbert and Michael Spira

Demystifying Data Monetization

November 27, 2018 | Suketu Gandhi, Bharath Thota, Renata Kuchembuck, and Joshua Swartz

Digital Success Requires Breaking Rules

July 25, 2019 | Jeanne Ross