Measuring supplier performance in collaborative design: proposition of a framework

Dain, Marie-Anne Le; Calvi, Richard; Cheriti, Sandra

doi:10.1111/j.1467-9310.2010.00630.x

Cited by 46 publications

(33 citation statements)

References 51 publications

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“…The CPE tool was created using the same framework as the one utilized for our supplier performance evaluation (SPE) tool (WP4 see [2]). We carried out 50 interviews with Project Leaders for purchasing, design, quality and industrialization as well as Project Managers from Schneider Electric in order to analyze their practices, to understand their needs, and to explore collaborative design difficulties experienced with their suppliers.…”

Section: Methodsmentioning

confidence: 99%

“…Thus, in this section, we present what we mean by collaborative design in NPDP. For that, we distinguish between two exclusive kinds of collaboration with suppliers in NPDP: Collaborative Design and Collaborative Development [2]. Both collaborations are exclusive because the role played by the supplier in customer design activities is radically different in each case.…”

Section: Introductionmentioning

confidence: 99%

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Proposition of a tool to evaluate customer’s performance in collaborative product development with suppliers

Dain¹,

Calvi²,

Cheriti³

2011

Int J Interact Des Manuf

Self Cite

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In many industries, customer firms seek to successfully involve their suppliers into New Product Development projects in order to gain competitive advantage. This involvement may range from simple consultation of suppliers on design orientations to the delegation of full responsibility to suppliers for the design of the outsourced system. However, the benefit of supplier involvement depends on the contribution of both parties-supplier and customerto complete the collaborative design projects successfully. This paper investigates the issue of customer's evaluation expected by supplier in terms of co-design effort, and aims at proposing a model to evaluate this effort The model and the associated tool were developed with the collaboration of six French industrial manufacturers and ten suppliers, partners of the PRAXIS research project (Performance in Relationships Adapted to eXtended Innovation with Supplier).

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Proposition of a tool to evaluate customer’s performance in collaborative product development with suppliers

Dain¹,

Calvi²,

Cheriti³

2011

Int J Interact Des Manuf

Self Cite

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“…Such technical alignment includes technical capability, resource complementarity, and overlapping knowledge bases. The importance of technological capabilities is stressed in the literature (Bailey, Masson, & Raeside, 1998;Le Dain, Calvi, & Cheriti, 2011). For example, one survey shows that technology is the most important criteria for firms when 23 selecting a collaboration partner in NPD (Rundquist & Halila, 2010).…”

Section: Technological and Relational Capabilitiesmentioning

confidence: 99%

“…Previous research points to the importance of the suppliers' technological capabilities (Bailey et al, 1998;Le Dain et al, 2011), however, these capabilities are difficult to assess before a supplier is selected (Håkanson, 1993). In Paper 1, it is shown that merely assessing a supplier's technology is not sufficient.…”

Section: Supplier Selection For Collaborative Npdmentioning

confidence: 99%

Supplier Involvement in New Product Development under Technological Uncertainty

Melander¹

2014

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This thesis addresses the challenges that firms are faced with when collaborating with suppliers in new product development (NPD) projects under technological uncertainty. A critical observation that is made in this context is that technologies are evolving faster, making products more complex. At the same time, firms become more specialized. Due to increased complexity and specialization, firms do not possess all the necessary technologies in-house and therefore need to collaborate with external organisations to incorporate new technology into their products. Common collaborators are suppliers who become integrated into the buying firm's NPD project. Scholars and practitioners alike have stressed the importance of involving suppliers in NPD (Takeishi, 2001;Petersen, Handfield, & Ragatz, 2005;Silverstone, Wallis, & Mindrum, 2012;Tevelson, Alsén, Rosenfeld, Benett, Farrell, & Zygelman, 2013). However, finding suppliers and collaborating with suppliers in NPD can be problematic. In addition, external collaborations also impact the buying firm internally, since it often needs to coordinate its departments. Supplier involvement in NPD has been studied for decades (for an overview of the field see Johnsen, 2009), however, little is known about the impact of technological uncertainty in these settings. Consequently, the purpose of this thesis is to explore supplier involvement in NPD under technological uncertainty.The research in this thesis is based on six case studies that were conducted at two large system integrator firms: ABB and Ericsson. In total, 53 interviews and two workshops were conducted to collect relevant data. The thesis consists of a compiled summary and five appended papers. The framework that is developed in the thesis highlights that challenges in supplier involvement in NPD projects under technological uncertainty can be divided into challenges that are related to supplier selection, buyer-supplier collaboration, and internal coordination between R&D and purchasing. The main findings of these studies revolve around the identified challenges.Challenges in supplier selection are concerned with the issues of involving new suppliers or relying on old acquaintances, managing uncertainties, the dilemma of whether to commit to long-term relationships or to maintain flexibility, and deciding on which department that is responsible for evaluating and selecting the supplier. The present study of buyers and suppliers in NPD, shows the challenges that are involved in balancing control, reaching goal alignment, and managing transactional and relational governance. Internal challenges investigate the coordination between the R&D department and purchasing in NPD projects where suppliers are involved. The results of the study indicate that, in projects with high technological uncertainty, there is limited coordination between the R&D department and purchasing since purchasing had but little involvement in these projects. There is organisational separation however, where purchasing is mainly responsible f...

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“…Under the influence of economic globalization, market competition is becoming increasingly fierce. In the face of a complex and volatile economic environment as well as diversified and personalized customer needs, Product Collaboration Design (PCD) is the inevitable choice for enterprise survival and development [1]. Camarinha-Matos and Afsarmanesh [2,3] proposed an effective way to integrate the product, supplier, research organization, and other units to complete product design, namely PCD.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study on Design Partner Selection in Green Product Collaboration Design

Liu

Xiao

et al. 2018

Sustainability

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Abstract:Green production has become an important issue in PCD (Product Collaboration Design) for almost every enterprise, and will determine the sustainability of enterprises in the long term. The choice of design partner is a necessary condition in order to achieve green production. For the uncertain, fuzzy, and dynamic information such as unknown indices and weights, fuzzy semantics, and dynamic time factors in GPCD (Green Product Collaboration Design), a two-stage dynamic hybrid MADM (Multi-Attribute Decision Making) approach based on fuzzy DEMATEL (Decision-Making and Trial Evaluation Laboratory), fuzzy KMA (Karnik-Mendel Algorithm), and fuzzy VIKOR (VlseKriterjumska Optimizacija I Kompromisno Resenje) was proposed. In the first stage, fuzzy DEMATEL was used to determine the evaluation indices. Then, in the second stage, to accurately depict the dynamic information generated by the different phases of a product design, the dynamic evaluation method based on fuzzy theories was employed, and the weights of the indices were calculated by fuzzy KMA, then sorted by fuzzy VIKOR. Finally, a case study and a comparative analysis wre provided to illustrate the effectiveness of the proposed approach.

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Measuring supplier performance in collaborative design: proposition of a framework

Cited by 46 publications

References 51 publications

Proposition of a tool to evaluate customer’s performance in collaborative product development with suppliers

Proposition of a tool to evaluate customer’s performance in collaborative product development with suppliers

Supplier Involvement in New Product Development under Technological Uncertainty

An Empirical Study on Design Partner Selection in Green Product Collaboration Design

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