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Chowdhery, Syed Azad
Publications (2 of 2) Show all publications
Chowdhery, S. A. & Bertoni, M. (2018). Data-driven value assessment of packaging solutions. In: IFAC PAPERSONLINE: . Paper presented at 16th IFAC Symposium on Information Control Problems in Manufacturing, Bergamo (pp. 1119-1124). Elsevier, 51(11), Article ID No. 11.
Open this publication in new window or tab >>Data-driven value assessment of packaging solutions
2018 (English)In: IFAC PAPERSONLINE, Elsevier, 2018, Vol. 51, no 11, p. 1119-1124, article id No. 11Conference paper, Published paper (Refereed)
Abstract [en]

Research in Product Service Systems design increasingly focuses on how to develop ‘capabilities’ for assessing the value of solutions already in  a design project fuzzy front end. A datadriven approach shall then guide engineers in the process of identifying what to develop, and not merely to verify if a solution meets (or not) performance requirements. This process of frontloading problem identification and solution generation activities with models is of high interest to raise quality and lower risk and cost for the development work. The objective of the paper is to explore the use of a data-driven approach to enable value prediction of packaging material configurations in early design. Its main objective is to present a methodological approach and a framework to connect high-level aspects of customer value with simulations and analysis conducted on the mechanical properties of packaging material.

Place, publisher, year, edition, pages
Elsevier, 2018
Series
IFAC PAPERSONLINE, ISSN 2405-8963 ; 51
Keywords
data-driven decision making, value-driven design, model-based engineering, product service systems, simulation, performance evaluation.
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:bth-16394 (URN)10.1016/j.ifacol.2018.08.452 (DOI)000445651000187 ()
Conference
16th IFAC Symposium on Information Control Problems in Manufacturing, Bergamo
Projects
Model Driven Development and Decision Support
Funder
Knowledge Foundation
Available from: 2018-06-11 Created: 2018-06-11 Last updated: 2018-10-30Bibliographically approved
Chowdhery, S. A. & Bertoni, M. (2018). Modeling resale value of road compaction equipment: a data mining approach. In: IFAC PAPERSONLINE: . Paper presented at 16th IFAC Symposium on Information Control Problems in Manufacturing (pp. 1101-1106). Elsevier, 51(11), Article ID no.11.
Open this publication in new window or tab >>Modeling resale value of road compaction equipment: a data mining approach
2018 (English)In: IFAC PAPERSONLINE, Elsevier, 2018, Vol. 51, no 11, p. 1101-1106, article id no.11Conference paper, Published paper (Refereed)
Abstract [en]

Resale value is an important aspect to be addressed when companies aim to shift from one-sale models to Product Service Systems (PSS). In the initial stages of the PSS design process, it is beneficial to predict how the mechanical features of the PSS hardware will impact resale value, so to orient business strategy decisions accordingly. The objective of this work is to propose a methodology to model the resale value of road compaction equipment using data mining techniques. By scrapping and merging data sets from the machine manufacturer and from dealers of second-hand machines, the work discusses how the derived correlations may be used to populate value models for early stage decision making.

Place, publisher, year, edition, pages
Elsevier, 2018
Series
IFAC PAPERSONLINE, ISSN 2405-8963 ; 51
Keywords
Data-driven decision making, product service system, new product development, decision support systems, data mining.
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:bth-16393 (URN)10.1016/j.ifacol.2018.08.457 (DOI)000445651000184 ()
Conference
16th IFAC Symposium on Information Control Problems in Manufacturing
Projects
Model Driven Development and Decision Support
Funder
Knowledge Foundation
Available from: 2018-06-11 Created: 2018-06-11 Last updated: 2018-10-30Bibliographically approved
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