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BUSINESS CASES

Investments in Industry 4.0 increase productivity, capital turnover, value creation and profitability while reducing personnel costs.

INDUSTRY

We optimize industrial value chains.

Whether digital transformation, industry 4.0, artificial intelligence, Internet of Things (IoT), blockchain technology or industrial augmented reality. As an experienced partner of the German economy, we have been developing value-enhancing solutions for industrial companies for over 20 years. We have the know-how to support your industrial company strategically and operationally in the core areas of IT.

The last few years have shown how important a well-thought-out digitization strategy is in order to be optimally prepared for competition despite demographic changes, global pandemics and other disruptive factors. Good digitization concepts ensure sustainable growth and long-term success even in supposed times of crisis.

„If data from all areas of the company correlate optimally with each other, you can react highly dynamically and efficiently to disruptive market changes.“

Dr. Dirk Niemöller
+49 (0)541 | 200 690-134
Dirk.Niemoeller@LMIS.de
LinkedIn

AI in quality assurance or edge computing in production? This is how digital transformation succeeds.

1How can you transform your company's production, sales or quality management in a way that will ensure its future success?

It is not decisive which technologies are used or which is the best ERP system on the market. The key lies in the overall view of the processes. A sustainable optimization of your value chain can only be achieved through intelligent integration and networking of new technologies with your existing infrastructure. We can integrate AI and cloud applications into any system - whether SAP, Microsoft or individual system. But it is not enough to evaluate local data using AI. The information must be made available to the right employees in the right way. Only when data from sales and purchasing correlates with the findings from QM, development and production can you react highly dynamically and efficiently to disruptive market changes.

2How do you empower your employees to work optimally in such a complex overall system - and how does this affect the "war for talents"?

The right digitization strategy can be seen as a positive driver here. The high degree of automation of your processes relieves your employees of tiresome diligence and gives them more time for important tasks. The use of innovative technologies such as AI and AR strengthens the employer branding, as the own company invests wisely in its own workplace. In addition, controlled knowledge management ensures that familiarization periods are shortened and employees are deployed more flexibly, regardless of training and professional experience.

3How high is the risk if you invest more in digitization and new technologies?

In our experience, the investment risk is comparatively low if the projects are well planned and efficiently implemented. The expansion of existing IT solutions or the integration of new technologies are always implemented by us with an optimal ROI in mind. It is important to analyze the necessary steps well beforehand and then implement them consistently. According to our experience, projects at our customers' sites already pay off in less than two years.

4You want to be one step ahead of the competition?

You want to be one step ahead of the competition? And you would like to experience the possibilities that AI and AR can offer your company? Talk to Dr. Dirk Niemöller and together we will work out the optimal solution for you.

Quality assurance

Cost optimization

Automation

Knowledge Management

Strategic partnerships that move us forward together

PUBLICATIONS

We love exchange and knowledge transfer. Our experts have published their knowledge and experiences from practice:

(Disclaimer: Some of the publications may still be in the publication process.)

Barenkamp, M. (2020): IoT Security Best Practices. Vorstellung eines Sicherheits- und Authentifizierungskonzepts bei der Realisierung von (Industrial) Internet of Things (IIoT)-Anwendungen – Eine Fallstudie zur Clientseitigen-Authentifizierung im IoT.
In: HMD Praxis der Wirtschaftsinformatik.

Barenkamp, M., Schoenke, J., Zarvic, N. & Thomas, O. (2019). IoT Best Practices. Fallstricke bei der Realisierung von (Industrial) Internet of Things (IIoT)-Projekten frühzeitig erkennen und adressieren.
In: HMD, 56, pp. 1157–1177.

Metzger, D., Niemöller, C., Jannaber, S., Berkemeier, L., Brenning, L. & Thomas, O. (2018). The next generation – Design and implementation of a smart glasses-based modelling system.
In: Enterprise Modelling and Information Systems Architectures, 13(18), pp. 1–25.

Metzger, D., Niemöller, C. & Thomas, O. (2017). Design and demonstration of an engineering method for service support systems.
In: Information Systems and e-Business Management, 15, pp. 789–823.

Metzger, D., Niemöller, C., Wingert, B., Schultze, T., Bues, M. & Thomas, O. (2017). How Machines are Serviced – Design of a Virtual Reality-based Training System for Technical Customer Services.
In: J. M. Leimeister & W. Brenner (Ed.). Proceedings der 13. Internationalen Tagung Wirtschaftsinformatik, St. Gallen, pp. 604–618.

Niemöller, C., Metzger, D. & Thomas, O. (2017). Design and Evaluation of a Smart Glasses-based Service Support System.
In: J. M. Leimeister & W. Brenner (Ed.). Proceedings der 13. Internationalen Tagung Wirtschaftsinformatik, St. Gallen, pp. 106–120.

Niemöller, C., Zobel, B., Berkemeier, L., Metzger, D., Werning, S., Adelmeyer, T., Ickerott, I. & Thomas, O. (2017). Sind Smart Glasses die Zukunft der Digitalisierung von Arbeitsprozessen? Explorative Fallstudien zukünftiger Einsatzszenarien in der Logistik.
In: J. M. Leimeister & W. Brenner (Ed.). Proceedings der 13. Internationalen Tagung Wirtschaftsinformatik, St. Gallen, pp. 410–424.

Metzger, D., Niemöller, C., Berkemeier, L., Brenning, L. & Thomas, O. (2016). Vom Techniker zum Modellierer – Konzeption und Entwicklung eines Smart Glasses Systems zur Laufzeitmodellierung von Dienstleistungsprozessen.
In: O. Thomas, M. Nüttgens & M. Fellmann (Ed.). Smart Service Engineering. Konzepte und Anwendungsszenarien für die digitale Transformation, Wiesbaden: Springer Gabler, pp. 193–213.

Niemöller, C., Metzger, D., Fellmann, M., Özcan, D. & Thomas, O. (2016). Shaping the Future of Mobile Service Support Systems – Ex-Ante Evaluation of Smart Glasses in Technical Customer Service Processes.
In: H. C. Mayr & M. Pinzger (Ed.). Informatik, Klagenfurt: Gesellschaft für Informatik (LNI 259), pp. 753–767.

Metzger, D., Niemöller, C. & Thomas, O. (2016). Hybride Aus- und Weiterbildung – Wie Datenbrillen die Lern- und Arbeitsumgebung von Morgen verändern.
In: A. Hohenstein & K. Wilbers (Ed.). Handbuch E-Learning. Expertenwissen aus Wissenschaft und Praxis – Strategien, Instrumente, Fallstudien, 62. Erg.-Lfg., Köln: Verlag Deutscher Wirtschaftsdienst, pp. 1–17.

Metzger, D., Niemöller, C., Zarvic, N., Welk, M. & Thomas, O. (2015). Revolution im Kundendienst durch Smart Services.
In: IM+io Fachzeitschrift für Innovation, Organisation und Management, 2, pp. 39–43.

Niemöller, C., Özcan, D., Metzger, D. & Thomas, O. (2014). Towards a Design Science-Driven Product-Service System Engineering Methodology.
In: M. C. Tremblay, D. VanderMeer, M. Rothenberger, A. Gupta & V. Yoon (Ed.). Design Science Research in Information Systems and Technologies, LNCS 8463, Miami: Springer, Cham, pp. 180–193.

RESEARCH AND DEVELOPMENT

In our research and development department, we are working on IT products for the day after tomorrow.

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