Method for capturing demands for housing customisation: balancing value for customers and operations costs

Hentschke, Cynthia dos Santos; Echeveste, Márcia Elisa Soares; Formoso, Carlos Torres; Ribeiro, José Luís Duarte

doi:10.1007/s10901-021-09838-9

Cited by 4 publications

(1 citation statement)

References 58 publications

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“…Brazil has a large housing deficit, estimated at 5.8 million [1]. Similar to other developing countries, such as Mexico [2] and Ecuador [3], most Brazilian social housing programs rely on repetition and high standardization of products with the aim of keeping costs low [4]. Such a standardization also allows for less complicated contractual and financial procedures, contributing to the economy of scale [5].…”

Section: Introductionmentioning

confidence: 99%

Guidelines for the Implementation of Mass Customization in Affordable House-Building Projects

2022

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Mass customization (MC) is a business strategy that stands for the ability to develop high value-added products within short time frames and at relatively low costs. It emerged from the manufacturing industry and has been applied to several industrial sectors, including housing. However, the segment of affordable housing programs in developing countries has been criticized for having a high degree of product standardization, and failure to meet customers’ specific needs. The aim of this paper is to propose guidelines for implementing mass customization in affordable house-building projects. It is based on a design science research study carried out in a small-sized company, which explored the possibility of adopting mass customization ideas to offer some flexibility for customers while maintaining low costs. The main contributions of this research study are concerned with expanding the current understanding of the components that enable MC to be implemented in the context of house-building companies that adopt traditional construction technologies. From a practical perspective, this investigation outlines several practices that can be introduced for the implementation of MC strategies at a relatively low cost by small-sized house-building companies.

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Section: Introductionmentioning

confidence: 99%

Guidelines for the Implementation of Mass Customization in Affordable House-Building Projects

2022

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Building a Sustainable Future: A Circular Economy–Based Leasing Model for Affordable Housing in Malaysia, Evaluated by Life Cycle Assessment

Zairul

2023

Environmental Footprints and Eco-Design of Products and Processes

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Chinese Residents’ Willingness to Buy Housing: An Evaluation in Nanyang City, Henan Province, China Based on the Extension Cloud Model

et al. 2022

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Real estate has always been a key industry associated with China’s economic and social development, and the real estate market has fluctuated violently in recent years. An objective and accurate evaluation of Chinese residents’ willingness to purchase housing provides a foundation for the sustainable development of the real estate industry. Accordingly, an evaluation index system and an evaluation model of Chinese residents’ willingness to buy housing were established in this study. First, the influencing factors of Chinese residents’ willingness to buy housing were systematically analyzed using Perceived Value Theory. Subsequently, the Continuous Ordered Weighted Averaging was used to assign weights to the selected index system, with smaller expert weights assigned to extreme expert opinions to reduce the subjectivity of the weight calculation results. Ultimately, an evaluation model based on the Extension Cloud Model was constructed. Residents of Nanyang City, Henan Province, China, were selected to find some distinctive conclusions. The empirical study showed that Nanyang residents were hesitant about the purchase intention of the case in April 2021, but quickly became resolute in not buying. Owing to the abrupt change in the real estate industry in China, perceived risk has become the most important risk factor. Several methods have been suggested to improve Chinese residents’ willingness to buy housing. Compared with the Analytic Hierarchy Process, the Entropy Weight Method, the fuzzy mathematics, and the grey cluster analysis, it was proved that the proposed model was more effective and advanced.

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Method for capturing demands for housing customisation: balancing value for customers and operations costs

Cited by 4 publications

References 58 publications

Guidelines for the Implementation of Mass Customization in Affordable House-Building Projects

Guidelines for the Implementation of Mass Customization in Affordable House-Building Projects

Building a Sustainable Future: A Circular Economy–Based Leasing Model for Affordable Housing in Malaysia, Evaluated by Life Cycle Assessment

Chinese Residents’ Willingness to Buy Housing: An Evaluation in Nanyang City, Henan Province, China Based on the Extension Cloud Model

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