A delayed product customization cost model with supplier delivery performance

Ngniatedema, Thomas; Fono, Louis Aimé; Mbondo, Georges Dieudonné

doi:10.1016/j.ejor.2014.11.017

Cited by 28 publications

(13 citation statements)

References 21 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…MC capability plays an important role in the reduction of R&D and inventory costs and time to market (Genba et al , 2005; Pine et al , 1993; Ngniatedema et al , 2015). Specifically, the MC literature identifies the importance of modular product design in the reduction of cycle time (Kotha, 1995; Partanena and Haapasalob, 2004).…”

Section: Hypotheses Developmentmentioning

confidence: 99%

Relationships between advanced manufacturing technologies, absorptive capacity, mass customization, time to market and financial and market performance

Deshpande

2018

APJBA

View full text Add to dashboard Cite

Purpose The purpose of the paper is to empirically investigate the relationships between advanced manufacturing technology (AMT), absorptive capacity, mass customization (MC) capability, competitive advantage, and organizational performance measures. Design/methodology/approach Based on a literature review, a theoretical framework is derived. Structural equation modeling was chosen for the empirical analysis based on the focus of the research. Data collection was conducted from 232 Indian manufacturing managers. Findings The findings indicate that absorptive capacity has a positive impact on MC capability. Also, MC capability mediated the relationship between AMT and the financial and market performance. Furthermore, AMT positively impacted MC capability, and MC capability positively impacted both time to market and financial and market performance. AMT was not found to have a significant impact on financial and market performance. Originality/value The current study is meaningful and unique in that no study has investigated the linkages between AMT, absorptive capacity, MC capability and organization performance and competitive advantage measures in a unified context. Such investigations are important because the results will encourage managers to invest in developing these mechanisms, which in turn will influence firm’s ability to implement MC practices and yield benefits such as improved performance and competitive advantage.

show abstract

Section: Hypotheses Developmentmentioning

confidence: 99%

Relationships between advanced manufacturing technologies, absorptive capacity, mass customization, time to market and financial and market performance

Deshpande

2018

APJBA

View full text Add to dashboard Cite

show abstract

“…The impact of product variety or level of product customisation on operational performance is a topic that has received some attention in the literature (Squire et al 2009;Yee 2005;Zhang, Chen, and Ma 2007;Brunoe and Nielsen 2016;Wan, Evers, and Dresner 2012;Berry and Cooper 1999;Park and Okudan Kremer 2015;ElMaraghy et al 2013;Wang et al 2011). Generally, highlighting the negative impact of product variety or the level of customisation, different authors have analysed the performance impact of alternative strategies to manage variety or customisation (Um et al 2017), such as mass customisation (Liu, Shah, and Babakus 2012;Kumar, Nottestad, and Macklin 2007), product platforms and modularisation (Tu et al 2004;Aljorephani and Elmaraghy 2016;ElMaraghy et al 2013;Medini 2015), postponement of product differentiation (Forza, Salvador, and Trentin 2008;Su et al 2010;Ngniatedema, Fono, and Mbondo 2015) and postponement of the CODP (Kumar, Nottestad, and Macklin 2007;Jiang and Geunes 2006).…”

Section: Impact Of Customisation In An Eto Context: a Literature Reviewmentioning

confidence: 99%

Understanding the impact of non-standard customisations in an engineer-to-order context: A case study

Johnsen

Hvam

2018

International Journal of Production Research

View full text Add to dashboard Cite

Companies operating with an engineer-to-order (ETO) manufacturing strategy produce customised solutions for their customers. While they may be able to build on a base of existing sub-solutions, e.g. standard product structures, modules or parts when engineering a customer-specific solution, they often have to create something completely new to satisfy customers' requirements. However, it is not always clear to ETO companies what the costs associated with making customer specific solutions are, or which product or project characteristics drive costs and in what business processes. Therefore, it is not clear to companies if it is actually profitable for them to fulfil all of their customers' requirements. Hence, making it relevant to understand how creating non-standard customisations impact project profitability. This paper presents a framework for how ETO companies can quantify the impact of the complexity associated with non-standard customisations when cost data is only available at the project level. The framework is theoretically founded; it is based on statistical regression and a definition of a complexity index for non-standard customisations. The framework is validated in the context of an ETO case company and empirical data is presented.

show abstract

“…Ngniatedema et al [ 41 ] explained a delayed product differentiation model for raw material supply is matched with uncertain demand where supplier lead time is a constraint. Ridwan et al [ 42 ] explained a CODP positioning-based simulation for performance improvement in mass customization for make to order furniture making company.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of decoupling point position using metaheuristic evolutionary algorithms for smart mass customization manufacturing

James¹

2021

Neural Comput & Applic

View full text Add to dashboard Cite

A delayed product customization cost model with supplier delivery performance

Cited by 28 publications

References 21 publications

Relationships between advanced manufacturing technologies, absorptive capacity, mass customization, time to market and financial and market performance

Relationships between advanced manufacturing technologies, absorptive capacity, mass customization, time to market and financial and market performance

Understanding the impact of non-standard customisations in an engineer-to-order context: A case study

Optimization of decoupling point position using metaheuristic evolutionary algorithms for smart mass customization manufacturing

Contact Info

Product

Resources

About