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Institute
Smart-Farming-Welt
(2019)
Service Engineering Models
(2019)
Since the field of service engineering emerged in the late 20th century, the service industry has undergone drastic changes. Among the reasons for these changes is the increasing digitalization, which has made it difficult for companies to successfully develop new service offerings. While numerous service engineering models are available to provide guidance during the design of new services, many of them cannot keep up with the requirements of today’s economic environment. The present paper examines the requirements that service engineering models need to meet in order to be suitable guidelines for the digital age. To this end, the introduction illustrates how digitalization has changed the service industry. Afterwards, selected service engineering models and related norms are presented. Finally, a set of requirements for modern service engineering models derived from best practices from recent years is introduced.
Today, maintenance exceeds this definition, it is significantly more.
In many companies, it plays the role of an incubator for development
and drives digital transformation forward. The very essence of
Industrie 4.0 is the optimisation of the flow of information within as
well as outside of a company to accelerate the adjustment of company
organisations in the context of increasing competitive pressure.
Because of the variety of interfaces, information and data that
is available as well as its service character, maintenance lends itself easily as the area of choice for a company to make Industrie 4.0 real. Whilst doing so, the aim is not to equip employees with the
latest “gimmick“ for order processment or to be the company with
the highest number of lighthouse projects. Instead, maintenance
ensures reliable and cost-efficient production and, consequently,
the primary creation of added value of the manufacturing company.
Those who were identified as top performers during the “Smart
Maintenance“ consortium benchmarking by FIR at RWTH Aachen
University gain particular useful ideas twice as often as other follower companies directly from staff, thus releasing the right potential.
Information and data help to reach these goals and transfer the
vision of smart maintenance into actual pratice. But what is smart
maintenance exactly and how far along are you in the development
of your individual smart maintenance concept?
Smart Service Engineering
(2019)
In our digitalized economy, many traditional service engineering models lack flexibility, efficiency and adaptability. As today’s market differs significantly from the market of the late 20th century, service engineering models must meet different requirements today than they had to meet in the past. The present paper starts off by providing an overview of the requirements that modern service engineering models need to fulfill in order to succeed in today’s economic environment. Afterwards, three promising models that meet several of these requirements will be introduced.
Das Ziel des Forschungsprojekts ToMiC war die Entwicklung einer Typologie zum lebenszyklusorientierten Management unternehmensinterner Communitys wissensintensiver Dienstleister. Jene befähigt insbesondere kleine und mittlere Unternehmen erstmals dazu, die aktuelle Lebensphase der eigenen Social-Software-basierten Community zu bestimmen. Die vorliegende Veröffentlichung ist der Abschlussbericht dieses Projekts.
Industrial service is currently undergoing tremendous changes, largely driven by the development of new technologies, in particular the advancing digitalization. Never before have organizations had more comprehensive and insightful data assets - and never before have the opportunities to fully exploit this potential been better. However, most companies are unaware of how they can make use of this potential and which development steps are necessary to react to the current situation. To change this, a maturity-based approach was developed which describes four development stages of an industrial service company from a technological, organizational and cultural point of view. The maturity model makes it possible to develop a digital roadmap that is tailormade to each company, which helps to introduce Industrie 4.0 and transform industrial service companies into learning, agile organizations.
Durch den Einsatz additiver Fertigungsverfahren werden Wertschöpfungsketten zu Wertschöpfungsnetzwerken in denen produzierende Unternehmen, industrielle Dienstleister sowie Softwareanbieter auf digitalen Plattformen kooperieren. Die Arbeitsteilung zwischen Produzenten, Zulieferern und Dienstleistern sowie die zugrundeliegenden Geschäftsmodelle unterliegen einem radikalen Wandel. Dabei müssen die Veränderungen vor allem als Potenzial für neue Geschäftsmodelle genutzt werden. An dieser Stelle setzt das Forschungsvorhaben 'Add2Log' an.