Evaluation of product customization strategies through modularization and postponement

Brun, Alessandro; Zorzini, Marta

doi:10.1016/j.ijpe.2008.07.020

Cited by 81 publications

(49 citation statements)

References 37 publications

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“…Factors influencing postponement have been given considerable attention in the literature during the last ten years and include: sales fluctuation and product life cycles (Yang et al, 2004b), product customization (MacCarthy, 2013), the number of products (Su et al, 2005), product and process features such as decouplability, standardization and modularity of products and processes (Swaminathan and Lee, 2003;Skipworth and Harrison, 2004;Yang et al, 2004b), and product and process redesign (Brun and Zorzini, 2009). The majority of the studies on postponement enablers and barriers are limited to product and/or process configurations and their technical considerations.…”

mentioning

confidence: 99%

Supplier flexibility and postponement implementation: An empirical analysis

Saghiri

Barnes

2016

International Journal of Production Economics

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mentioning

confidence: 99%

Supplier flexibility and postponement implementation: An empirical analysis

Saghiri

Barnes

2016

International Journal of Production Economics

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“…The DP can be defined as the stage in the manufacturing value chain where a particular product is linked to a specific customer's order (Brun and Zorzini 2009). According to the location of the DP within the supply chain, the VBTO and the i-VBTO systems are based on a dynamic DP, which can change from a BTO configuration to a MTS configuration.…”

Section: Ofs Related To the Studymentioning

confidence: 99%

Impact of the customer demand on order fulfilment strategies based on floating decoupling point: a simulation analysis

Suárez

González‐R

Pierreval

2016

International Journal of Production Research

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Order Fulfilment Strategies have become more and more popular, thanks to their capability of improving the delivery times and reducing the inventory levels. Among the postponement strategies of Mass Customisation are the Virtual Build-To-Order (VBTO) and i-Virtual Build-To-Order (i-VBTO) systems which are two systems with the ability to serve customers from anywhere in the inventory (Work-in-Process and Finished Goods Inventory) showing an interesting potential of adaptation to the variability of the demand. This study is aimed at testing the suitability of the basis of the i-VBTO system against the VBTO system through the study of the influence of characteristics of demand that are common in real environments. Regarding the contribution of this work, some weaknesses of the VBTO system can be highlighted (e.g. under certain demand conditions it loses the efficiency), and some benefits of the i-VBTO system (e.g. it turns out to be more robust and stable regarding changes in demand than the VBTO system).

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“…A comprehensive literature review (Brun & Zorzini, 2009;Fogliatto et al, 2012;Jose & Tollenaere, 2005) shows direct and indirect impact of modularity on MC. Additionally, it is emphasized that information flow and processing is a success factor of effectiveness.…”

Section: Product Modularity and Make-to-upgrade (Mtu) Strategymentioning

confidence: 99%

Integration of supply networks for customization with modularity in cloud and make-to-upgrade strategy

Mehrsai

Karimi

Thoben

2013

Systems Science & Control Engineering

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Today, integration of supply networks (SNs) out of heterogeneous entities is quite challenging for industries. Individualized demands are getting continuously higher values in the global business and this fact forces traditional businesses for restructuring their organizations. In order to contribute to new performances in manufacturing networks, in this paper a collaborative approach is recommended out of modularity structure, cloud computing, and make-to-upgrade concept for improving flexibility as well as coordination of entities in networks. A cloud-based framework for inbound and outbound manufacturing is introduced for complying with the production of individualized products in the turbulent global market, with local decision-makings and integrated performances. Additionally, the complementary aspects of these techniques with new features of products are conceptually highlighted. The compatibility of this wide range of theoretical concepts and practical techniques is explained here. A discrete-event simulation out of an exemplary cloud-based SN is set up to define the applicability of the cloud and the recommended strategy.

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Evaluation of product customization strategies through modularization and postponement

Cited by 81 publications

References 37 publications

Supplier flexibility and postponement implementation: An empirical analysis

Supplier flexibility and postponement implementation: An empirical analysis

Impact of the customer demand on order fulfilment strategies based on floating decoupling point: a simulation analysis

Integration of supply networks for customization with modularity in cloud and make-to-upgrade strategy

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