Manufacturing problem: Digitalization

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Literature Review: Digitalization problem for Manufacturing

This “Ten Problems for Manufacturing in the 2020s” booklet identifies ten relevant areas from very recent contributions put forward at academic level in the form journal articles, conference proceedings and students theses. Ten freely accessible internet references have been selected for each area and direct links are provided at the end of each chapter for own consultation. Our selected references do not intend to mirror ranking indexes nor establish novel classifications. On the contrary, they are meant to represent peer-reviewed, diverse and scientifically-sound case studies for vertical dissemination aimed at non-specialist readers. They will also be able to scoop even more references through the bibliography that is reported at the end of each selected reference.

Without further ado, these are the ten problems that we are going to introduce in this booklet:

  1. sustainability, 
  2. industry 4.0,
  3. smart,
  4. responsibility,
  5. additive,
  6. digitalization,
  7. supply chain,
  8. optimization,
  9. skills gap,
  10. distributed.

Each problem has its own dedicated chapter made of an introductory section, a short presentation of the ten selected references and a conclusions section.

The final chapter of this booklet will report the conclusions from each chapter again in order to provide a complete executive summary.

6 Digitalization

THE PROBLEM — Digitalization of manufacturing industries is becoming the engine of digital transformation of the entire economy. Problems remain with respect to the organizational interface between the enterprise corporate level and the manufacturing shop floor level, and between lead factories and local factories. Infrastructures are also needed to support loose coupling and evolving systems of systems.

CASE STUDIES — … buy this booklet from Amazon …

CONCLUSIONS — Digitalization in the context of the Fourth Industrial Revolution is the penetration of info communication and computer technologies into the mechanisms and business processes. In cloud manufacturing, all resources needed for manufacturing such as hardware, software, and manufacturing capabilities are virtualized. Resource scheduling and load service balancing are still relevant issues, together with automatic product pricing. The ultimate objective is to facilitate developments in management decision-support systems for the design, scheduling and control of resilient and digital manufacturing networks and production systems. In general, digital technologies have the potential to reinforce existing site roles and extend the level of competences of factories. The most effective method of eliminating bottlenecks in business processes should be recognized as automation, robotics, and the introduction of modern information technologies. Smart Maintenance is defined as an organizational design for managing maintenance of manufacturing plants in environments with pervasive digital technologies. For digitalized manufacturing logistics in Engineer-To-Order several digital technologies should be applied and combined. The three most relevant digital technologies for the food industry in Hungary are geolocating, cloud computing, and sensor technology. The accelerated digitalization coupled with ever growing new job demands in China’s manufacturing industry has led to serious concerns about rising continuance commitment and the loss of sustainability of careers among productions workers. Large leading firms with state participation in Russia, which have a global market presence and a substantial level of interoperability, are currently turning into a service business model.

TEN FREE REFERENCES FROM THE INTERNET — … buy this booklet from Amazon …

“Ten Problems for Manufacturing in the 2020s” booklet for Amazon Kindle, 2020; click on the cover to go to the dedicated Amazon listing page

By TenProblems

Literature Reviews for Inquisitive Minds