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How the intelligent enterprise will drive innovation

Machine learning and deep learning techniques are well-suited to creating self-adjusting algorithms that optimize business processes. Businesses across a number of industries are betting big that this technology will achieve greater business efficiency. But this represents just the starting point for what AI should be able to ultimately accomplish.
By Joseph Byrum


Cutting travel time can boost warehouse efficiency

Although transportation drives most of the costs of the supply chain industry, the warehousing side of operations needs to be continuously expanded to secure the industry’s growth. However, more often than not, the expansion of capacity is not subject to a continuous evaluation in order to drive efficiency and decrease costs.
By Rolando Vazquez Molina


Enhancing value stream mapping for manufacturing

A value stream map permits the identification of every process in the flow of a product family, pulls them out from the background clutter of the organization and builds an entire value stream based on the principles of Lean. The map helps to plan and prioritize the changes within a value stream instead of a whack-a-mole “blitzkrieg” of kaizens to eliminate waste randomly throughout the organization, which is what typically happens with other continuous improvement programs like Theory of Constraints and Six Sigma.
By Shahrukh A. Irani


Getting the models right is key to successful analytics

Getting the models right starts with a comprehen¬sive understanding of the process. A successful ap¬plication of analytics requires a study of the existing process model and related systems. In most cases, the existing process model needs to be updated to consider additional variables and relationships rec¬ognized in big data sources. The validation of the causal re-lationship of a potential new variable and data is best accom¬plished as the fit in the process model is guided by the process owners and operators.
By William E. Hammer Jr.


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