Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
1,188
result(s) for
"Mass Customization"
Sort by:
Absorptive capacity and mass customization capability
Purpose
– The purpose of this paper is to investigate the effects of a manufacturer’s absorptive capacity (AC) on its mass customization capability (MCC).
Design/methodology/approach
– The authors conceptualize AC within the supply chain context as four processes: knowledge acquisition from customers, knowledge acquisition from suppliers, knowledge assimilation, and knowledge application. The authors then propose and empirically test a model on the relationships among AC processes and MCC using structural equation modeling and data collected from 276 manufacturing firms in China.
Findings
– The results show that AC significantly improves MCC. In particular, knowledge sourced from customers and suppliers enhances MCC in three ways: directly, indirectly through knowledge application, and indirectly through knowledge assimilation and application. The study also finds that knowledge acquisition significantly enhances knowledge assimilation and knowledge application, and that knowledge assimilation leads to knowledge application.
Originality/value
– This study provides empirical evidence of the effects of AC processes on MCC. It also indicates the relationships among AC processes. Moreover, it reveals the mechanisms through which knowledge sourced from customers and suppliers contributes to MCC development, and demonstrates the importance of internal knowledge management practices in exploiting knowledge from supply chain partners. Furthermore, it provides guidelines for executives to decide how to manage supply chain knowledge and devote their efforts and resources in absorbing new knowledge for MCC development.
Journal Article
Mass customization : opportunities, methods, and challenges for manufacturers
Mass Customization examines the business opportunities, considerations, and challenges manufacturers in various industries must weigh before committing to the significant investment in machinery and software needed to go to mass customization. For manufacturers who decide that it's time to take the plunge, the author describes the proven methods and latest technologies for making mass customization work seamlessly and profitably on the factory floor. Mass customization -- the automated manufacturing of bespoke products, profitably combining the low unit costs of mass production with the flexibility of building custom products to order -- has been touted as the next big thing for more than a quarter of a century. Until recently, however, mass customization made only modest inroads in a few industries. Now, the convergence of new ICT and manufacturing technologies with traditional CNC technologies means that mass customization's moment has arrived for breaking out into a wide range of industries. Hans Kull is an engineer and mathematician who applies his expertise in combinatorial optimization, programming, and engineering to devising end-to-end automated solutions for mass customization, automating and optimizing all processes from bespoke parts supply, order processing, production, and waste minimization to packing and delivery. He shares with his readers practical lessons for making mass customization succeed, case studies from various industries, and an insiders vision of the business implications of mass customization's coming of age.
Book
Operational coordination and mass customization capability: the double-edged sword effect of customer need diversity
PurposeThis study aims to explore how operational coordination affects mass customization capability (MCC) via organizational agility, the double-edged sword effect of customer need diversity and the moderating effect of competitive intensity based on dynamic capabilities perspective.Design/methodology/approachThis study examines the research hypotheses using hierarchical regression analysis by collecting data from 277 Chinese firms.FindingsThe results reveal that organizational agility partially mediates the impacts of operational coordination on product-oriented and service-oriented MCC. Customer need diversity is positively related to operational coordination, whereas negatively moderates the relationship between operational coordination and organizational agility. Moreover, competitive intensity negatively moderates the relationship between organizational agility and service-oriented MCC.Research limitations/implicationsThis study mainly used perceptual scales to measure organizational agility. There is a need to measure agility through Agility Index which consists of features' combination that enables agility.Practical implicationsManagers would thus do well to integrate business activities with supply chain partners and strive to foster an agile organization. Additionally, managers should take the leadership to assess the customer need and invest time and resources to respond to it when needed even though the response may be difficult.Originality/valueAlthough the importance of MCC in meeting personalized customer needs has been recognized, whether and how customer need diversity affects MCC remains unclear. This study provides a framework to study the relationships between customer need diversity and MCC, which deepens our understanding of how to enhance MCC to respond to diverse customer needs.
Journal Article
When Social Media Can Be Bad for You: Community Feedback Stifles Consumer Creativity and Reduces Satisfaction with Self-Designed Products
Enabling consumers to self-design unique products that match their idiosyncratic preferences is the key value driver of modern mass customization systems. These systems are increasingly becoming \"social,\" allowing for consumer-to-consumer interactions such as commenting on each other's self-designed products. The present research examines how receiving others' feedback on initial product configurations affects consumers' ultimate product designs and their satisfaction with these self-designed products. Evidence from a field study in a European car manufacturer's brand community and from two follow-up experiments reveals that receiving feedback from other community members on initial self-designs leads to less unique final self-designs, lower satisfaction with self-designed products, lower product usage frequency, and lower monetary product valuations. We provide evidence that the negative influence of feedback on consumers' satisfaction with self-designed products is mediated by an increase in decision uncertainty and perceived process complexity. The implications of socially enriched mass customization systems for both consumer welfare and seller profitability are discussed.
Journal Article
Motives and performance outcomes of mass customization capability: evidence from Chinese manufacturers
PurposeThe purpose of this study aims to develop and test a motives-mass customization (MC) capability-performance model by dividing MC capability into product-oriented MC capability and service-oriented MC capability.Design/methodology/approachThis research tests the hypothesized relationships using survey data from 277 Chinese manufacturing firms.FindingsThe results indicate that instrumental, relational and moral motives all have significantly positive impacts on product-oriented and service-oriented MC capability. The authors also find that product-oriented MC capability partially mediates the impacts of relational and moral motives on operational, environmental and economic performance, while service-oriented MC capability partially mediates the impacts of instrumental, relational and moral motives on operational, market, environmental and economic performance.Originality/valueThis study complements the existing MC literature by describing MC capability into two dimensions: product-oriented MC capability and service-oriented MC capability.
Journal Article
Mass Customisation Strategies in Additive Manufacturing: A Systematic Review and Implementation Framework
Additive manufacturing (AM) has transformed mass customisation by allowing personalised production with remarkable efficiency. This systematic review compiles findings from 61 peer-reviewed articles (2010–2024) to highlight strategies for implementation, technological facilitators, challenges, industry applications, and evaluation frameworks relevant to mass customisation in AM contexts. Utilising the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, the review applies stringent inclusion criteria and thematic analysis to create an in-depth understanding of this developing area. Four major strategies for implementation have been identified: combining AM with conventional manufacturing, integrating customer-centred design, establishing flexible manufacturing networks, and creating adaptive production systems. Key technological facilitators include capabilities for multi-material processing, integration of digital workflows, and advanced monitoring of processes, while obstacles consist of limitations in materials, challenges in quality assurance, and complexities related to digital asset management. Industry applications reveal tailored approaches specific to medical, industrial, and architectural sectors. This analysis presents a multi-tiered implementation framework encompassing strategic, tactical, operational aspects and performance evaluation aspects to assist organisations in embracing AM-based mass customisation. This framework fills a notable gap in existing literature by aligning personalisation goals with operational efficiency. This paper also outlines future research priorities, such as creating standardised evaluation methods, improving system reliability, incorporating sustainability, and leveraging emerging tools like AI for process improvement. Ultimately, this review bridges theory and practice, offering a clearer path forward for mass customisation in the era of AM.
Journal Article
Predictive Machine Learning Approaches for Supply and Manufacturing Processes Planning in Mass-Customization Products
Planning in mass-customization supply and manufacturing processes is a complex process that requires continuous planning and optimization to minimize time and cost across a wide variety of choices in large production volumes. While soft computing techniques are widely used for optimizing mass-customization products, they face scalability issues when handling large datasets and rely heavily on manually defined rules, which are prone to errors. In contrast, machine learning techniques offer an opportunity to overcome these challenges by automating rule generation and improving scalability. However, their full potential has yet to be explored. This article proposes a machine learning-based approach to address this challenge, aiming to optimize both the supply and manufacturing planning phases as a practical solution for industry planning or optimization problems. The proposed approach examines supervised machine learning and deep learning techniques for manufacturing time and cost planning in various scenarios of a large-scale real-life pilot study in the bicycle manufacturing domain. This experimentation included K-Nearest Neighbors with regression and Random Forest from the machine learning family, as well as Neural Networks and Ensembles as deep learning approaches. Additionally, Reinforcement Learning was used in scenarios where real-world data or historical experiences were unavailable. The training performance of the pilot study was evaluated using cross-validation along with two statistical analysis methods: the t-test and the Wilcoxon test. These performance evaluation efforts revealed that machine learning techniques outperform deep learning methods and the reinforcement learning approach, with K-NN combined with regression yielding the best results. The proposed approach was validated by industry experts in bicycle manufacturing. It demonstrated up to a 37% reduction in both time and cost for orders compared to traditional expert estimates.
Journal Article
Mass Customisation and Personalisation in Architecture and Construction
Challenged by the recent economic crisis, the building and construction industry is currently seeking new orientation and strategies. Here mass customisation is uncovered as a key strategy in helping to meet this challenge. The term mass customisation denotes an offering that meets the demands of each individual customer, whilst still being produced with mass production efficiency. Today mass customisation is emerging from a pilot stage into a scalable and sustainable strategy...
The first dedicated publication of its kind, this book provides a forum for the concept within an applied and highly innovative context. The book includes contributions from some of the most prominent thinkers and practitioners in the field from across the world, including Kasper S. Vibaek, Steve Kendall, Martin Bechthold, Mitchell M. Tseng, and Masa Noguchi. Bringing together this panel of experts who have carried out research both in academia and practice, this book provides an overview of state-of-the-art practice related to the concept of customisation and personalisation within the built environment.
eBook