Value-Driven Modeling of Tactical and Operational Decisions in Support of Aerospace Product-Service Systems Design

Author(s):  
Cassio D. Goncalves ◽  
Michael Kokkolaras

Competitive markets and complex business-to-business environments compel manufacturers to provide innovative service offerings along with their products. This necessitates effective methodologires for developing and implementing sucessful new business strategies. This article presents an approach to model tactical and operational decisions to support the design and development of Product-Service Systems (PSSs). A combination of Quality Function Deployment and Design-to-Cost techniques is proposed as the first step of a PSS design framework that aids design engineers to determine the relations among value to customer, functional requirements, design variables and cost. The objective is to identify PSS design alternatives that deliver value to customer while respecting cost targets. An aerospace software case study is conducted to demonstrate the proposed approach.

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Annamalai Vasantha Gokula Vijaykumar ◽  
Hitoshi Komoto ◽  
Romana Hussain ◽  
Rajkumar Roy ◽  
Tetsuo Tomiyama ◽  
...  

2009 ◽  
Vol 22 (12) ◽  
pp. 1073-1088 ◽  
Author(s):  
David Baxter ◽  
Rajkumar Roy ◽  
Athanasia Doultsinou ◽  
James Gao ◽  
Mohamad Kalta

2012 ◽  
Vol 23 (9) ◽  
pp. 635-659 ◽  
Author(s):  
Gokula Vijaykumar Annamalai Vasantha ◽  
Rajkumar Roy ◽  
Alan Lelah ◽  
Daniel Brissaud

2016 ◽  
Vol 82 (842) ◽  
pp. 16-00152-16-00152
Author(s):  
Keita MUTO ◽  
Koji KIMITA ◽  
Hiroki TANAKA ◽  
Eriko NUMATA ◽  
Shigeru HOSONO ◽  
...  

Author(s):  
Yong Se Kim ◽  
Sang Won Lee ◽  
Joo Won Maeng ◽  
Chang K. Cho

As consumers demand diverse values reflecting their individual needs and wants from various viewpoints, including economical, ecological and experiential concerns, more comprehensive and more flexible ways to provide values to consumers are desired. Product-Service Systems (PSS) have been proposed as a solution to realize such diverse value provision. In this paper, a systematic methodology for designing PSS based on activities and functions is proposed, which is much different from the case of product design. The proposed PSS design process includes the following six steps: requirement identification and value proposition, stakeholder activity design, PSS functional modeling, function-activity mapping and PSS concept generation, PSS concept detailing and PSS concept prototyping. In the proposed PSS design process, the activities of stakeholders are defined and analyzed via service blueprint. The functions of PSS fulfilling target values are then defined and represented with the specification service providers and service receivers, and they are further decomposed into sub-functions. Then the relationship between stakeholder activities and functions are established by considering associated stakeholders, and the PSS concepts are generated by mapping product and service elements. Sample case studies are conducted to validate the proposed PSS design process.


2012 ◽  
Vol 24 (1) ◽  
pp. 78-94 ◽  
Author(s):  
Evandro Leonardo Silva Teixeira ◽  
Benny Tjahjono ◽  
Sadek Crisóstomo Absi Alfaro ◽  
Jorge Manuel Soares Julião

2015 ◽  
Vol 115 (8) ◽  
pp. 1529-1546 ◽  
Author(s):  
Jin Shen ◽  
Bin Wu ◽  
Li Yu

Purpose – Configuration systems are used as a means for efficient design of customer tailored product service systems (PSS). In PSS configuration, mapping customer needs with optimal configuration of PSS components have become much more challenging, because more knowledge with personalization aspects has to be considered. However, the extant techniques are hard to be applied to acquire personalized configuration rules. The purpose of this paper is to extract the configuration rule knowledge in symbolism formulation from historical data. Design/methodology/approach – Customer characteristics (CCs) are defined and introduced into the construction of configuration rules. Personalized PSS configuration rules (PCRs) are thereby proposed to collect and represent more knowledge. An approach combining Local Cluster Neural Network and Rulex algorithm is proposed to extract rule knowledge from historical data. Findings – The personalized configuration rules with CCs are able to alleviate the burden of customers in expressing functional requirements. Furthermore, in the long-term relationship with a customer in PSS realization, PSS offerings can be reconfigured according to the changing CCs with the guide of PCRs. Originality/value – The contribution of this paper lies in introducing the attribute of CCs into the antecedents of PCRs and proposing the neural networks-based approach to extracting the rule knowledge from historical data.


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