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Chowdhery, Syed AzadORCID iD iconorcid.org/0000-0003-2324-2857
Publications (4 of 4) Show all publications
Chowdhery, S. A. (2020). A data-driven approach for Product-Service Systems design: Using data and simulation to understand the value of a new design concept. (Licentiate dissertation). Karlskrona: Blekinge Tekniska Högskola, 2020.: Blekinge Tekniska Högskola
Open this publication in new window or tab >>A data-driven approach for Product-Service Systems design: Using data and simulation to understand the value of a new design concept
2020 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Global challenges such as increasingly competitive markets, low-cost competition, shorter lead time demands, and high quality/value output are transforming the business model of the company to focus beyond the performance requirements. In order to meet these challenges, companies are highly concerned with the customer perceived value, which is to connect the product with the customer in a better way and become more proactive to fulfil the customer needs, via function-oriented business models and Product-Service Systems.

In literature, the conceptual phase is distinguished as the most critical phase of the product development process. Many authors have recognized the improvement of design in the conceptual phase as the mean to deliver a successful product in the market. At the decision gate, where concepts are selected for further development, the design team needs knowledge/data about the long-term consequences of their early decision, to see how changes in design propagate to the entire lifecycle of the product.

The main goal of the thesis is to describe how the design of Product-Service Systems in the conceptual phase can be improved through the use of a data-driven approach. The latter provides an opportunity to enhance decision making and to provide better support at the early development phase. The study highlights how data are managed and used in current industrial setting and indicates the room for improvement with current practices. The thesis further provides guidelines to efficiently use data into the modelling and simulation activities to increase design knowledge. As a result of this study, a data-driven approach emerged to support the early design decision.

 The thesis presents initial descriptive study findings from the empirical investigations, showing a model-based approach that creates awareness about the value of a new design concept, thus acting as a key enabler to use data in design. This will create a link between the product engineering characteristic to the high-level attributes of customer satisfaction and provider’s long-term profitability. The preliminary results indicate that the application of simulation models to frontload the early design stage creates awareness about how performance can lead to value creation, helping multidisciplinary teams to perform quick trade-off and what-if analysis on design configurations. The proposed framework shows how data from various sources are used through a chain of simulations to understand the entire product lifecycle. The proposed approach holds a potential to improve the key performance indicators for Product-Service Systems development: lead time, design quality, cost and most importantly deliver a value-added product to the customer.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2020.: Blekinge Tekniska Högskola, 2020
Series
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 1
Keywords
Engineering design, data-driven design, conceptual phase, Value-Driven Design, Product-Service Systems, Ingenjörsdesign, datadriven design, konceptuell fas, värdedriven design, data mining
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:bth-19036 (URN)978-91-7295-397-0 (ISBN)
Presentation
2020-02-28, 1650, Campus Gräsvik, Karlskrona, 10:00 (English)
Opponent
Supervisors
Projects
Model Driven Development and Decision Support
Funder
Knowledge Foundation
Available from: 2019-12-18 Created: 2019-12-18 Last updated: 2020-02-18Bibliographically approved
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: 2020-02-05Bibliographically approved
Chowdhery, S. A., Bertoni, M., Wall, J. & Larsson, T. A data-driven design framework for early stage PSS design exploration. Design Science
Open this publication in new window or tab >>A data-driven design framework for early stage PSS design exploration
(English)In: Design Science, ISSN 2053-4701Article in journal (Other (popular science, discussion, etc.)) Submitted
Abstract [en]

Ubiquitous and pervasive computing holds great potential in the domain of Product-Service Systems to introduce a model-driven paradigm for decision support. Data-driven design is often discussed as a critical enabler for developing simulation models that comprehensively explore the PSS design space for complex systems, linking of performances to customer and provider value. Emerging from the findings of two empirical studies conducted in collaboration with multinational manufacturing companies in the business-to-business market, this paper defines a data-driven framework to support engineering teams in exploring, early in the design process, the available design space for Product-Service Systems from a value perspective. Verification activities show that the framework and modeling approach is considered to fill a gap when it comes to stimulating value discussions across functions and organizational roles, as well as to grow a clearer picture of how different disciplines contribute to the creation of value for new solutions.

Keywords
data-driven design, co-simulations, decision making, value-driven design, design space exploration, engineering design
National Category
Engineering and Technology
Identifiers
urn:nbn:se:bth-19209 (URN)
Funder
Knowledge Foundation
Available from: 2020-02-14 Created: 2020-02-14 Last updated: 2020-02-21Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-2324-2857

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