There are numerous definitions of productivity, and a significant proportion of them are related to a company’s KPI’s in some form or other. If we take manufacturing as an easy example, these can be visualised as kg/hr , £/month or RFT (Right first Time) if we cover the elements of production, sales and quality. All of these have a direct relationship with the bottom line, and the cost of product made. However KPI’s are also important in the “transactional” environment such as the administration arm of a company, or in say financial services. Processing documents can be a significant proportion of any process, and errors or tardiness will also negatively effect the bottom line.
This is where an experienced coach/business consultant can help. Ones with significant industry experience in different sectors, can start to build connections on where the losses are. Continue reading “Different Perspectives on Productivity”
Some commentators have said that “Lean” has had it’s day, with the majority of western manufacturers, and those in the developing world, having run lean and similar programmes. These programmes show up under other guises such as “Production Systems” and “Operational Excellence”. However the fundamentals of these are founded in Lean . Lean has always been about continuous improvement and development.
Continue reading “Lean is Alive & Kicking”
As we get closer to a UK election there is a lot on peoples minds. The “snap” election has postponed slightly the “Brexit” discussions /negotiations. However, whatever the outcome of the election, because both the main parties have vowed to see “Brexit” through, business will have to be leaner and fitter than ever before. I have talked about speeding up the decision making processes before. Not only do businesses need to get their act together in their own facilities, they also need to look at the supply chain, and ensure they are protected without interruptions.
Continue reading “Electoral Jitters”
We know technology is advancing at a rate, but I have become aware of a great example. There was a recent article in The Economist around how a German online retailer OTTO, who are utilising AI effectively to improve the performance of their business and customer service. OTTO used technology developed by Blue Yonder and a deep learning algorithm originally developed at CERN for particle physics experiments, to analyse 3bn previous transactions with 200 variables. These included previous site searches. Armed with this capability they were able to purchase over 200,000 items, predicting what will be sold in 30 days with a 90% accuracy.
Continue reading “Humans & Machines in Harmony”