EazyStock
OCTOBER 10, 2018
Big data is a term used to describe a massive volume of both structured and unstructured data that’s too large to be processed using traditional database and software techniques. In most enterprise scenarios, the volume of data is too big, moves too fast and exceeds processing capacity of existing applications.
Logistics Viewpoints
NOVEMBER 14, 2022
There can be surprises that potentially offer a better upside: demand is higher than expected, it is possible to raise prices without affecting demand based on what is happening with competitor products, technology has allowed manufacturing capacity to ramp up faster than expected, etc. billion transactions annually.
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ThroughPut
MARCH 24, 2024
Conditions of erratic demands, long-period metrics, and unavailability of raw materials have brought forth a plethora of problems: Trouble managing capacity with high peaks and troughs in demand for goods, capacity management has become a key concern. Excess inventories lead to excess wastage.
Logility
MAY 7, 2020
Figure 1: Demystifying Data Units. Embracing big data brings the promise of reduced costs, improved customer service, reduced risk and the ability to capture new opportunities. However, capturing the data you need is just the start of the journey. Figure 2: Results Achieved Using Big Data Analytics.
The Network Effect
JUNE 11, 2014
In part one I laid out the 5 stage maturity model that shows how organizations can turn their “big data” into “big visibility” The stages are 1) Representation; 2) Accessibility; 3) Intelligence; 4) Decision Management; 5) Outcome-Based Metrics and Performance. The Network Effect'
GlobalTranz
FEBRUARY 9, 2017
However, the limitations of company-specific ERP systems are starting to stifle manufacturing capacity, so manufacturers will need to look for new systems, including software-as-a-service (SaaS) offers to stay competitive, explains Mark Humphlett of Manufacturing and Business Technology magazine. Take a moment to think about Big Data.
Logistics Viewpoints
JULY 19, 2021
The idea that a plan is “multi-dimensional” reflects the dimensions of customer demand, capacity, and products. A common set of scenarios is focused on what should be done if there is not sufficient manufacturing capacity to meet the baseline demand projections. This is a Big Data problem to which they apply machine learning.
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