During the last decade, as a result of their constant urge to retain sustainability, companies have shifted to the product-service system (PSS) business model, in an effort to gain competitive advantages. PSS providers have realized the importance of offering highly perceived solutions; thus, the necessity of monitoring the performance of PSSs and evaluating them has intensified. However, not much work has been conducted toward that direction, especially focusing on its practical application. In the current work, a holistic approach for PSS evaluation using key performance indicators (KPIs) is proposed, extending to all its lifecycle phases and covering aspects from both provider's and customer's perspectives. A software tool was developed to assist the decision maker in the selection of appropriate KPIs to monitor for PSS evaluation and additionally, to offer KPIs data collection, storage, processing, and visualization capabilities. The proposed methodology was applied in a real industrial case of the mold making area to validate its results.
Skip Nav Destination
Article navigation
December 2018
Research-Article
Development of a Key Performance Indicator Assessment Methodology and Software Tool for Product-Service System Evaluation and Decision-Making Support
Dimitris Mourtzis,
Dimitris Mourtzis
Department of Mechanical Engineering
and Aeronautics,
University of Patras,
Patras 26504, Greece
e-mail: mourtzis@lms.mech.upatras.gr
and Aeronautics,
University of Patras,
Patras 26504, Greece
e-mail: mourtzis@lms.mech.upatras.gr
Search for other works by this author on:
Anna-Maria Papatheodorou,
Anna-Maria Papatheodorou
Department of Mechanical Engineering
and Aeronautics,
University of Patras,
Patras 26504, Greece
e-mail: papatheodorou@lms.mech.upatras.gr
and Aeronautics,
University of Patras,
Patras 26504, Greece
e-mail: papatheodorou@lms.mech.upatras.gr
Search for other works by this author on:
Sophia Fotia
Sophia Fotia
Department of Mechanical Engineering and
Aeronautics,
University of Patras,
Patras 26504, Greece
e-mail: fotia@lms.mech.upatras.gr
Aeronautics,
University of Patras,
Patras 26504, Greece
e-mail: fotia@lms.mech.upatras.gr
Search for other works by this author on:
Dimitris Mourtzis
Department of Mechanical Engineering
and Aeronautics,
University of Patras,
Patras 26504, Greece
e-mail: mourtzis@lms.mech.upatras.gr
and Aeronautics,
University of Patras,
Patras 26504, Greece
e-mail: mourtzis@lms.mech.upatras.gr
Anna-Maria Papatheodorou
Department of Mechanical Engineering
and Aeronautics,
University of Patras,
Patras 26504, Greece
e-mail: papatheodorou@lms.mech.upatras.gr
and Aeronautics,
University of Patras,
Patras 26504, Greece
e-mail: papatheodorou@lms.mech.upatras.gr
Sophia Fotia
Department of Mechanical Engineering and
Aeronautics,
University of Patras,
Patras 26504, Greece
e-mail: fotia@lms.mech.upatras.gr
Aeronautics,
University of Patras,
Patras 26504, Greece
e-mail: fotia@lms.mech.upatras.gr
1Corresponding author.
Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received December 22, 2017; final manuscript received May 15, 2018; published online July 3, 2018. Assoc. Editor: Kristina Wärmefjord.
J. Comput. Inf. Sci. Eng. Dec 2018, 18(4): 041005 (13 pages)
Published Online: July 3, 2018
Article history
Received:
December 22, 2017
Revised:
May 15, 2018
Citation
Mourtzis, D., Papatheodorou, A., and Fotia, S. (July 3, 2018). "Development of a Key Performance Indicator Assessment Methodology and Software Tool for Product-Service System Evaluation and Decision-Making Support." ASME. J. Comput. Inf. Sci. Eng. December 2018; 18(4): 041005. https://doi.org/10.1115/1.4040340
Download citation file:
Get Email Alerts
Towards Fatigue-tolerant Design of Additively Manufactured Strut-based Lattice Metamaterials
J. Comput. Inf. Sci. Eng
Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts
J. Comput. Inf. Sci. Eng (May 2024)
Interactive 3D Product Information Design in Virtual Reality Shopping Application
J. Comput. Inf. Sci. Eng (May 2024)
Related Articles
A Knowledge-Based Method for Innovative Design for Additive Manufacturing Supported by Modular Ontologies
J. Comput. Inf. Sci. Eng (June,2018)
Fault Adaptive Mission Planning: Increasing Useful-Life and Reducing Downtime Through Condition-Based Decision-Making
J. Comput. Inf. Sci. Eng (December,2020)
Asset Management Evaluation: A Pilot Case Study
J. Pressure Vessel Technol (February,2007)
Engineering Knowledge Graph From Patent Database
J. Comput. Inf. Sci. Eng (April,2022)
Related Proceedings Papers
Related Chapters
Managing Energy Resources from within the Corporate Information Technology System
Industrial Energy Systems
Event Calculus and Probabilistic Knowledge Base of Conditional Events in Complex Systems Management
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
Preprocessing Selection of Enterprise Resource Planning Applications in Small Manufacturing Industry and Its Impact on Business Process Agility
International Conference on Computer Engineering and Technology, 3rd (ICCET 2011)