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dc.contributor.advisorEberle, Marisa
dc.contributor.authorWaldburger, Raoul
dc.contributor.authorStauffacher, Christoph
dc.date.accessioned2021-05-28T10:31:18Z
dc.date.available2021-05-28T10:31:18Z
dc.date.issued2021-02-26
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/32490
dc.identifier.urihttp://dx.doi.org/10.26041/fhnw-3773
dc.description.abstractIn the context of the Smart Recommender System for Medium Sized Entreprises SRS-4-MSE project of the Institute of Business Engineering IBE of the University of Applied Sciences Northwestern Switzerland FHNW, this thesis investigates the main success factors for the design of effective and efficient assistance systems in socio-technical environments. By following the SRS-4-MSE, concrete implications are sought that can be derived for this project from the work presented here. For this purpose, the questions of how a good planning process is defined and what an assistance system is, are explored. How a self-learning assistance system has to be designed, so that the human being learns as well as the machine, and how a planning process with an assistance system can be designed. The main results of this project work can be divided into the areas of planning process and assistance system and assigned to the respective levels according to PTO. In the area of planning process these are: Understanding about process as a key factor (people), monitoring of processes as a basis for decision making (technology), processes have to be continuously adapted to their environment (organization). Regarding assistance systems, these are: Humans must understand technology (people), the "right" use of technology is to be decided (technology), role distribution between humans and machines must be clarified (organization). From this, 19 key insights could be derived, which form the basis for the assistance process. This in turn covers the entire course from design to optimization of an assistance system in a planning process in five phases: Requirements & Design, Introduction, Application, Control and Need for Action.en_US
dc.language.isode_CHen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.accessRightsAnonymous*
dc.subjectAssitance Systems, Business Engineering, PPSen_US
dc.subject.ddc658 - General Managementen_US
dc.titleAusgestaltung eines Assistenzprozesses im sozio-technischen Umfeld am Beispiel eines Produktions-Planungs-Prozessesen_US
dc.type11 - Studentische Arbeit*
dc.audiencePraxisen_US
fhnw.StudentsWorkTypeMasteren_US
fhnw.publicationStateUnpublisheden_US
fhnw.ReviewTypeNo peer reviewen_US
fhnw.InventedHereYesen_US
fhnw.PublishedSwitzerlandNoen_US
fhnw.leadIn the context of the Smart Recommender System for Medium Sized Entreprises SRS-4-MSE project of the Institute of Business Engineering IBE of the University of Applied Sciences Northwestern Switzerland FHNW, this thesis investigates the main success factors for the design of effective and efficient assistance systems in socio-technical environments. By following the SRS-4-MSE, concrete implications are sought that can be derived for this project from the work presented here. For this purpose, the questions of how a good planning process is defined and what an assistance system is, are explored. How a self-learning assistance system has to be designed, so that the human being learns as well as the machine, and how a planning process with an assistance system can be designed.en_US
fhnw.initialPositionDigitalization and automation are terms that occupy the whole world. With them come new technologies in every conceivable area of industry, business, medicine, education and so on. But what impact does the use of new technology have on people? Clearly, their job description and field of activity are changing.en_US
fhnw.procedureclarifies what a good planning process is and how it can be evaluated by means of a literature research and corresponding expert interviews. In the second part, the focus is on the design of assistance systems and how they should be used for optimal application. The basis for this discussion is mainly provided by expert interviews but also evidence from the literature. In the third part, the findings from parts one and two, which together form the analysis, were pulled together and a generic assistance process was created. This combines the process-related aspects with the technological ones, taking into account the socio-technical PTO (MTO in german) approach (people, technology and organization)1. As the fourth and last part, the gained knowledge is projected onto the SRS-4-MSE and corresponding recommendations for action are derived. Parts three and four were independently developed in several creative workshops.en_US
fhnw.resultsThe main results of this project work can be divided into the areas of planning process and assistance system and assigned to the respective levels according to PTO. In the area of planning process these are: Understanding about process as a key factor (people), monitoring of processes as a basis for decision making (technology), processes have to be continuously adapted to their environment (organization). Regarding assistance systems, these are: Humans must understand technology (people), the "right" use of technology is to be decided (technology), role distribution between humans and machines must be clarified (organization). From this, 19 key insights could be derived, which form the basis for the assistance process. This in turn covers the entire course from design to optimization of an assistance system in a planning process in five phases: Requirements & Design, Introduction, Application, Control and Need for Action.en_US
fhnw.IsStudentsWorkyesen_US
dc.contributor.mentorWaldburger, Raoul


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