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- August 2017
- Case
Data-driven Manufacturing: The Kutesmart System
By: Willy Shih and Nancy Hua Dai
The data-driven manufacturing system at this Chinese bespoke mens' suit manufacturer illustrates the use of information technology to support mass customization in a largely manual production environment. It contrasts sharply with some of the Industrie 4.0... View Details
Keywords: Manufacturing; Garment Manufacturing; Mass Customization; Data-driven Management; Data-driven Manufacturing; Operations; Production; Product; Customization and Personalization; Manufacturing Industry; Manufacturing Industry; China
Shih, Willy, and Nancy Hua Dai. "Data-driven Manufacturing: The Kutesmart System." Harvard Business School Case 618-005, August 2017.
- December 2017
- Supplement
Data-Driven Manufacturing: The Kutesmart System
By: Willy C. Shih
This supplementary video shows the Kutesmart System at Redcollar Group. It is an example of a mass customization system that is data-driven, but is predominantly based on manual operations. It is offered as a contrast to highly automated data-driven manufacturing. View Details
Keywords: Data-driven Manufacturing; Clothing; Bespoke Manufacturing; Production; Manufacturing Industry; Manufacturing Industry; China
Shih, Willy C. "Data-Driven Manufacturing: The Kutesmart System." Harvard Business School Multimedia/Video Supplement 618-702, December 2017.
- 23 May 2016
- News
The Biggest Challenges of Data-Driven Manufacturing
- December 2018
- Case
Choosy
By: Jeffrey J. Bussgang and Julia Kelley
Founded in 2017, Choosy is a data-driven fashion startup that uses algorithms to identify styles trending on social media. After manufacturing similar items using a China-based supply chain, Choosy sells them to consumers through its website and social media pages.... View Details
Keywords: Artificial Intelligence; Algorithms; Machine Learning; Neural Networks; Instagram; Influencer; Fast Fashion; Design; Customer Satisfaction; Customer Focus and Relationships; Decision Making; Cost vs Benefits; Innovation and Invention; Brands and Branding; Product Positioning; Demand and Consumers; Supply Chain; Production; Logistics; Business Model; Expansion; Internet and the Web; Mobile and Wireless Technology; Digital Platforms; Social Media; Technology Industry; Fashion Industry; North and Central America; United States; New York (state, US); New York (city, NY)
- Research Summary
Overview
By: Ayelet Israeli
Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data... View Details
- 25 Apr 2023
- Op-Ed
How SHEIN and Temu Conquered Fast Fashion—and Forged a New Business Model
information technology to directly match consumer demand to dispersed production by a collection of factories in China. This method of reaching customers should inspire any business that provides products or services that come from many producers to reconsider their... View Details
- 07 Feb 2022
- Research & Ideas
Digital Transformation: A New Roadmap for Success
the emotional side of digital transformation Digital transformation can be bewildering and exhausting for leaders and employees alike. Emerging digital technologies are disrupting everything from supply chains and manufacturing to selling... View Details
- Web
Profiles - MBA
business, especially as it relates to businesses focused on manufacturing and construction. The opportunities being a Fellow provides are quite expansive, from access to a network of peers with similar interests yet diverse backgrounds,... View Details
- 01 Jun 2023
- News
Buy Big, Sell Small
If you live in a rural village or small city in India and run low on toothpaste, rice, or cooking oil, you’ll likely visit your local kirana, the equivalent of a US neighborhood variety store and a mainstay of the country’s $932 billion retail economy. The shops are... View Details
- 09 Mar 2003
- Research & Ideas
Six Keys to Building New Markets by Unleashing Disruptive Innovation
parallel process for developing and shaping disruptive ideas—one that acknowledges their distinctive features—can companies successfully launch disruption after disruption. Such a process relies more on pattern recognition than on View Details
- Web
Online Business Analytics Course | HBS Online
Professor Janice Hammond Business Analytics Jesse Philips Professor of Manufacturing and Senior Associate Dean for Culture and Community at Harvard Business School “Business Analytics will help demystify data and strengthen your... View Details
- 01 Mar 2024
- News
Alumni and Faculty Books and Podcasts
design and manufacture physical products, that type of fluid, data-rich information used to be a pipe dream. Now, with the rise of cheap and powerful sensors, supercomputing, and artificial intelligence, things are changing fast. In... View Details
- Web
Technology & Operations Management Awards & Honors - Faculty & Research
in the 2023 TIMES Best Working Paper Competition from the Technology, Innovation Management and Entrepreneurship Section of INFORMS for “Privately-Owned Battery Storage: Reshaping The Way We Do Energy” with Serguei Netessine. Christian Kaps : Winner of the 2023 View Details
- 20 Dec 2016
- First Look
December 20, 2016
induces U.S. manufacturing firms to contract their operations along multiple margins of activity goes a long way toward explaining the response of U.S. innovation to the China trade shock. Download working paper:... View Details
Keywords: Carmen Nobel
- 28 Jul 2014
- Blog Post
Mid-summer Update
Business System) and witnessed its culture in action at “ground zero”. There was much emphasis on being data-driven and self-driven. We spoke to past MBA interns who have joined the company full-time and have done exceptionally well. We... View Details
Keywords: Manufacturing
- 01 Dec 2014
- News
Forecasting ’15
Health Care: Data-Driven Diagnosis Robert Wah (AMP 175, 2008) President, American Medical Association; Global Chief Medical Officer, Computer Sciences Corporation “We’re entering the third phase of health information technology. The first... View Details
- 05 Aug 2002
- Research & Ideas
Understanding the Process of Innovation
manufacturers often discard the products sent to them by outside inventors without even looking at them. Because of their hurdle rate—the minimum return required on a contemplated investment—they probably don't have the time or resources... View Details
Keywords: by Loren Gray
- 14 Apr 2003
- Research & Ideas
Andy Grove on the Confident Leader
that there is more to running an enterprise, small or large, than strategy. The revolution in quality control and manufacturing techniques that has taken place in the last fifteen years was data-driven and... View Details
- Profile
Fangfang Wang
Fangfang introduced data-driven analytics and consultative selling techniques to the company. Recognizing chocolate’s value as a high-margin product, she led initiatives to drive demand, including partnerships with other candy View Details
- 27 Jul 2023
- Blog Post
Buy big, sell small
ApnaKlub—which leases warehouse space and trucks—sources the requested products from brand-name manufacturers and distributes them to the wholesalers, who deliver within a reliable time frame. “We leverage technology to bring our... View Details