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SKU/Artículo: AMZ-B0CFZFJBWF

Model driven components which can integrate: A better approach to digital technology for real world organisations - particularly for industrial decarbonisation (Software for Domain Experts)

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Paperback

Kindle

Paperback

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0.36 kg

Devolución:
Sí

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Producto de:
Amazon

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USA

Sobre este producto

This book explores a better approach to developing digital technology for organisations in the real world. It is not for organisations which are factories or operating like factories. These are well served by the software we have. Our approach is about not trying to turn the real world into one which is easier for software. But bringing software to the real world. If everything is standardised and follows rigid steps to a specific goal, like a factory, that is much easier for software. Most of the real world, and the world our organisations run in, is not like this, and cannot be like this. When we bring in software which is better suited for factory type environments, it means we are not as good as we could be. Such as software which revolves around rigid relational databases, which is a struggle to understand or adapt, or which assumes that all its inputs are perfect. It might be fine for factories which operate in the same way for decades. But not for the real world. Making software for the real world needs a different approach, which has not much been seen yet. In this book we explain what that could be and how to get there. By non-factory type organisations, we mean organisations where unpredictable events happen regularly, and success is more about understanding our situation and making many good decisions. Rather than being a well-oiled machine. Most areas of the real world have many different activities happening at once, and we can only ever understand a tiny part of it. Everything in the real world makes sense when viewed in different ways and at different depths. Although the real world can be very consistent and predictable, unpredictable events regularly occur which we are unable to control. A factory environment is stable, predictable and controlled. It has a set of activities where one step leads to another, and we can rely on each step happening perfectly. It is possible for someone to understand it all. It only makes sense when viewed at one granularity level, the level it is designed at, where something goes through multiple steps to get to a finished product. Many people working in business have got used to looking for ‘factory’ style business opportunities, where they can do one thing at a big scale and make big profits. They look to exploit the capability of digital technology to make more industries into factories, such as matching car drivers with riders, or doing e-commerce of consumer goods on a huge scale. It may be an entrenched human instinct for some of us to try to build factories in the real world, the same instinct as it was to put together armies before the industrial revolution. The factory approach does work for many areas of business which are not physical factories, such as hotels and parcel delivery. Digital technology enabled some areas of business to be managed like factories for the first time, such as matching car drivers with riders. In these businesses there may be unpredictable events like vomiting passengers or parcels which can’t be delivered. But they do not threaten the overall operation and its rigidity. The operation has the obstacle of bypassing problem customers, staff or products completely. Such as refusing to accept a passenger, firing a staff member or not delivering a parcel. The factory operation can always continue. With organisations which are not factories, doing well with unpredictable events is a core part of the service. This is an approach where technology in organisations is nurtured. Nurturing is just as much a human instinct as making a factory type operation, perhaps a stronger human instinct. Consider a commercial deep sea shipping company which does not follow rigid schedules. Ships come across all kinds of unexpected events all the time – machinery problems, bureaucratic problems, shortages of crew, shortages of supplies.

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