Using hierarchical pseudo bills of material for customer order acceptance and optimal material replenishment in assemble to order manufacturing of non-modular products

Bertrand, Jwm Will; Zuijderwijk, M Marco; Hegge, Hmh Herman

doi:10.1016/s0925-5273(99)00121-8

Cited by 26 publications

(7 citation statements)

References 6 publications

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“…Manufacturers of non-modularized products may still use configurator IT tools to allow customers to define product specifications. For example, a product configurator based on the so-called generic bills of materials can be developed to deal with the increase in the number of product variants (Hegge and Wortmann, 1991;Bertrand et al, 2000). Nonetheless, modular product design provides customers with greater flexibility to get involved in product co-design.…”

Section: Ijopm 3110mentioning

confidence: 99%

Impacts of information technology on mass customization capability of manufacturing plants

Peng

Liu²,

Heim³

2011

International Journal of Operations &Amp; Production Management

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Purpose -The impact of information technology (IT) on mass customization (MC) capability has been implied in the literature but seldom subjected to empirical examination. This study seeks to theoretically relate four types of IT applications with MC capability and empirically examines these relationships. Design/methodology/approach -This study identifies four types of IT that potentially support MC capability, including product configurator IT, new product development IT, manufacturing IT, and supplier collaboration IT. Drawing on organizational information processing theory, this study associates the four IT types with a manufacturer's MC capability. A structural equation model is tested using survey data collected from a sample of manufacturing plants that focus on product customization. Findings -The empirical results indicate that two of the four IT types strongly support a manufacturer's MC capability. Research limitations/implications -No strong relationship between configurator IT and MC was observed, which calls for further investigation. Data used are cross-sectional in nature. A set of refined IT measures should be developed in future studies. In addition, future studies could control for the effects of more variables that may impact IT use by mass customizers. Practical implications -The paper identifies managerial opportunities for investing in IT to support or enhance MC capability. Originality/value -This study provides a theoretical foundation for the IT-MC relationship and develops a classification framework of IT applications in manufacturing plants. The study is one of the first efforts that empirically examines the impact of multiple types of IT applications on MC.

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Section: Ijopm 3110mentioning

confidence: 99%

Impacts of information technology on mass customization capability of manufacturing plants

Peng

Liu²,

Heim³

2011

International Journal of Operations &Amp; Production Management

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“…The essential function of a product model is to define the rules to produce all the BOMs of the product variants. Numerous past studies utilized the concept of generic BOM (or product architecture) for integrating product and production information when pursuing high product variety [24][25][26][27]. However, to the authors' knowledge, product configuration or generic BOM has not yet been applied to the management of product environmental data.…”

Section: Methodsmentioning

confidence: 99%

Data management of green product development with generic modularized product architecture

Luh

Chu

Pan

2010

Computers in Industry

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“…In contrast with the extant, primarily analytically based research on order management (e.g., Ramdas, 2003), we conduct an empirical study of the effectiveness of the different order management practices. To be sure, analytical research has helped us understand how to optimize different tasks in order management, such as the delivery date promising (Bertrand, Zuijderwijk, & Hegge, 2000; Barut & Sridharan, 2005; Venkatadri, Srinivasan, Montreuil, & Saraswat, 2006). For some reason, however, the applications that have been found effective in analytical research have been scarcely implemented in practice (e.g., Krishnan & Ulrich, 2001).…”

Section: Introductionmentioning

confidence: 99%

Order Management in the Customization‐Responsiveness Squeeze*

Tenhiälä¹,

Ketokivi²

2012

Decision Sciences

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Make-to-order (MTO) products may be either customized or standard, and customization can occur either at the configuration or component level. Consequently, MTO production processes can be divided into three customization gestalts: non-customizers, custom assemblers, and custom producers. In this article, we examine how the multilevel nature of customization affects order management in processes that produce complex MTO products. We first empirically validate the existence of the three customization gestalts and subsequently, analyze the order management challenges and solutions in each gestalt in a sample of 163 MTO production processes embedded in seven different supply chains. In the analyses, we follow a mixed-methods approach, combining a quantitative survey with qualitative interview data. The results show that important contingencies make different order management practices effective in different gestalts. Further qualitative inquiry reveals that some seemingly old-fashioned practices, such as available-topromise verifications, are effective but commonly neglected in many organizations. The results also challenge some of the conventional wisdom about custom assembly (and indirectly, mass customization). For example, the systematic configuration management methods-conventionally associated with project business environments-appear to be equally important in custom assembly.

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Using hierarchical pseudo bills of material for customer order acceptance and optimal material replenishment in assemble to order manufacturing of non-modular products

Cited by 26 publications

References 6 publications

Impacts of information technology on mass customization capability of manufacturing plants

Impacts of information technology on mass customization capability of manufacturing plants

Data management of green product development with generic modularized product architecture

Order Management in the Customization‐Responsiveness Squeeze*

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