Choice Modeling for Usage Context-Based Design
نویسندگان
چکیده
Usage Context-Based Design (UCBD) is an area of growing interest within the design community. Usage context is the set of scenarios in which a product (or service) is to be used, including the environments in which the product is used, the types of tasks the product performs, and the conditions under which the product is purchased and operates. It is proposed in this work that in choice modeling for usage context-based design, usage context should be a part of the primary descriptors in the definition of a customer profile, in addition to the socio-demographic attributes for modeling customers’ heterogeneity. As customers become more technology-savvy and market-educated, current choice modeling methods in engineering design could greatly benefit from exploiting the rich contextual information existing in product usage. In this work, we propose a choice modeling framework for Usage Context-based Design (UCBD) to quantify the impact of usage context on customer choices. We start with defining a taxonomy for UCBD. By explicitly modeling usage context’s influence on both product performances and customer preferences, a step-by-step choice modeling procedure is proposed to support UCBD. Two case studies, a jigsaw example with stated preference data and a hybrid electric vehicle example with revealed preference data, demonstrate the needs and benefits of incorporating usage context in choice modeling. He L., Chen W., Hoyle C., Yannou B., (2012), Choice modeling for usage context-based design. Journal of Mechanical Design, vol. 134(3), doi. DOI: 10.1115/1.4005860. 2 NOMENCLATURE A Customer-desired product attributes β Coefficients in customer’s choice utility function CV Conventional vehicle DCA Discrete Choice Analysis DOE Design of experiment E Usage context attributes EW Preference-related usage context attributes EY Performance-related usage context attributes ni Random disturbance of customer choice utility of product i by customer n HEV Hybrid electric vehicle k Cut points in ordered logit model M Exogenous variables (representing sources of uncertainty in market) MNL Multinomial logit Pni Choice probability for product i and customer n PHEV Plug-in hybrid electric vehicle R Subjective ratings S Customer profile attributes SW Preference-related customer profile attributes SY Performance-related customer profile attributes uni Customer choice utility of product i by customer n UCBCM Usage context-based choice modeling UCBD Usage context-based design Wni Observed (deterministic) part of the customer choice utility of product i by customer n X Engineering design options or variables Y Engineering performance Yr Performance of service results Yt Performance of transformation
منابع مشابه
Efficient Usage of Concurrency Models in an Object-Oriented Co-design Framework
Increased complexity of micro-electronic systems demands a need for efficient system level models. System level models can provide detailed architectural simulation results to make architectural tradeoffs in the early stages of the design process. For effective system-level design, there is a need for an efficient co-simulation model for precise and speedy system level simulation and design exp...
متن کاملContext-aware Modeling for Spatio-temporal Data Transmitted from a Wireless Body Sensor Network
Context-aware systems must be interoperable and work across different platforms at any time and in any place. Context data collected from wireless body area networks (WBAN) may be heterogeneous and imperfect, which makes their design and implementation difficult. In this research, we introduce a model which takes the dynamic nature of a context-aware system into consideration. This model is con...
متن کاملOntologies for Effective Use of Context in e-Learning Settings
This paper presents an ontology-based framework aimed at explicit representation of context-specific metadata derived from the actual usage of learning objects and learning designs. The core part of the proposed framework is a learning object context ontology, that leverages a range of other kinds of learning ontologies (e.g., user modeling ontology, domain ontology, and learning design ontolog...
متن کاملKnowledge Modeling In Design - The MOKA Framework
Design and engineering are knowledge intensive processes. Large amounts of different types of knowledge are needed in real world applications. An essential pre–requisite for the usage and re–use of this knowledge is an adequate modeling framework which describes the role or roles of each ’piece’ of knowledge in the overall context. The MOKA framework has been developed as a generic scheme for d...
متن کاملSet-based design by simulation of usage scenario coverage
While the marketing literature has advocated for decades that new products should be designed for intended and anticipated consumer usages, the engineering literature mostly proposes optimization of product performances independent of specific users’ skills, anticipated usage scenarios, and competing products on the market. In contrast to tedious market studies which assume an existing market e...
متن کامل