Complex Service Systems: Knowledge-Based User-Centered Systems Engineering for Performance Improvement

2016 ◽  
pp. 519-552 ◽  
Keyword(s):  
Performance Improvement ◽  
Systems Engineering ◽  
Service Systems ◽  
Knowledge Based ◽  
User Centered

A Systemic, Participative Design of Decision Support Services for Clinical Research

2016 ◽  
pp. 371-390
Author(s):  
Alexandra Pomares Quimbaya ◽  
Rafael A. González ◽  
Wilson Ricardo Bohórquez ◽  
Oscar Muñoz ◽  
Olga Milena García ◽  
...  
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Best Practices ◽  
Clinical Research ◽  
Systems Engineering ◽  
Support Services ◽  
Design Science ◽  
Service Systems ◽  
Participative Design ◽  
User Centered

Development of IT-based services to support decision-making in healthcare should be guided by the following considerations: rigor, relevance, user-centered participation and inclusion of the best practices for IT-based service systems. In this paper, the balance between rigor and relevance is achieved by following the design science research methodology; user-centered participation is tackled from the socio-technical tradition in information systems; best practices considered in the planning, design and implementation of the services are informed by the MOF framework. Moreover, and considering the premise that these pillars should holistically converge, this research has been approached from a systemic stance where iterative, participative, socio-technical activities have allowed the effective collaboration between information systems researchers, clinical researchers, medical staff and administrative hospital personnel. This paper argues for a move towards enhancing systemic, participative, design-centered service systems engineering by reporting a case which applies these concepts for providing decision-support services, enabled by data and text mining techniques, to contribute to clinical research and administration by being able to search electronic health records where narrative text hides meaningful information that would otherwise require a time-consuming human revision of these records.

A Systemic, Participative Design of Decision Support Services for Clinical Research

2014 ◽  
Vol 7 (2) ◽  
pp. 20-40 ◽  
Author(s):  
Alexandra Pomares Quimbaya ◽  
Rafael A. González ◽  
Wilson Ricardo Bohórquez ◽  
Oscar Muñoz ◽  
Olga Milena García ◽  
...  
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Best Practices ◽  
Clinical Research ◽  
Systems Engineering ◽  
Support Services ◽  
Design Science ◽  
Service Systems ◽  
Participative Design ◽  
User Centered

Development of IT-based services to support decision-making in healthcare should be guided by the following considerations: rigor, relevance, user-centered participation and inclusion of the best practices for IT-based service systems. In this paper, the balance between rigor and relevance is achieved by following the design science research methodology; user-centered participation is tackled from the socio-technical tradition in information systems; best practices considered in the planning, design and implementation of the services are informed by the MOF framework. Moreover, and considering the premise that these pillars should holistically converge, this research has been approached from a systemic stance where iterative, participative, socio-technical activities have allowed the effective collaboration between information systems researchers, clinical researchers, medical staff and administrative hospital personnel. This paper argues for a move towards enhancing systemic, participative, design-centered service systems engineering by reporting a case which applies these concepts for providing decision-support services, enabled by data and text mining techniques, to contribute to clinical research and administration by being able to search electronic health records where narrative text hides meaningful information that would otherwise require a time-consuming human revision of these records.

scholarly journals A Hybrid Knowledge-Based Recommender for Product-Service Systems Mass Customization

Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 296
Author(s):  
Laila Esheiba ◽  
Amal Elgammal ◽  
Iman M. A. Helal ◽  
Mohamed E. El-Sharkawi
Keyword(s):  
Recommender System ◽  
Mass Customization ◽  
Constraint Satisfaction Problem ◽  
Service Systems ◽  
Prototype System ◽  
Knowledge Based ◽  
Product Service ◽  
Wide Range ◽  
Hybrid Knowledge ◽  
Product Service Systems

Manufacturers today compete to offer not only products, but products accompanied by services, which are referred to as product-service systems (PSSs). PSS mass customization is defined as the production of products and services to meet the needs of individual customers with near-mass-production efficiency. In the context of the PSS mass customization environment, customers are overwhelmed by a plethora of previously customized PSS variants. As a result, finding a PSS variant that is precisely aligned with the customer’s needs is a cognitive task that customers will be unable to manage effectively. In this paper, we propose a hybrid knowledge-based recommender system that assists customers in selecting previously customized PSS variants from a wide range of available ones. The recommender system (RS) utilizes ontologies for capturing customer requirements, as well as product-service and production-related knowledge. The RS follows a hybrid recommendation approach, in which the problem of selecting previously customized PSS variants is encoded as a constraint satisfaction problem (CSP), to filter out PSS variants that do not satisfy customer needs, and then uses a weighted utility function to rank the remaining PSS variants. Finally, the RS offers a list of ranked PSS variants that can be scrutinized by the customer. In this study, the proposed recommendation approach was applied to a real-life large-scale case study in the domain of laser machines. To ensure the applicability of the proposed RS, a web-based prototype system has been developed, realizing all the modules of the proposed RS.

A case for service systems engineering

2003 ◽  
Vol 12 (1) ◽  
pp. 13-38 ◽  
Author(s):  
James M. Tien ◽  
Daniel Berg
Keyword(s):  
Systems Engineering ◽  
Service Systems

scholarly journals The New Fontiers of Service Systems Engineering

2018 ◽  
Vol 60 (5) ◽  
pp. 373-375 ◽  
Author(s):  
Tilo Böhmann ◽  
Jan Marco Leimeister ◽  
Kathrin Möslein
Keyword(s):  
Systems Engineering ◽  
Service Systems

Modelling and Simulation Perspective in Service Design

2017 ◽  
pp. 374-399
Author(s):  
Monica Dragoicea ◽  
Joao Falcao e Cunha ◽  
Monica Viorela Alexandru ◽  
Denisa Andreea Constantinescu
Keyword(s):  
Systems Engineering ◽  
Service Design ◽  
Modelling And Simulation ◽  
Service Systems ◽  
Design Stage ◽  
Agent Based ◽  
Strong Focus ◽  
Interaction Modelling ◽  
Technical Systems

This chapter discusses the development of improved citizen services taking into consideration integration of agent-based modelling and simulation experience into conceiving, design and implementation activities with a strong focus on technology enabled service systems. Service design is formalized here towards the integration of customer experience, validated through service interaction modelling. Integration of user experience at design stage in the value co-creation process is a possible immediate evolution direction of projects in the Smarter Cities perspective. Guidelines for integrating a modelling and simulation perspective in service design are presented along with the Socio-Technical Systems Engineering process. The case study presented here is dedicated to Smart Transport. The chapter opens a larger discussion on specific research directions and knowledge transfer related to Smart Transport as highlighted in EU projects.

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