1,720,967 research outputs found

    Integration of Supply Chain Configuration Decision to the Preliminary Phase of Product Design from a Product Development Standpoint

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    Supply Chain Management (SCM) is a necessary concept for manufacturing firms as it deals with the coordination and integration of interactions among collaborating suppliers to realise products. One crucial aspect of SCM is supplier selection. Organisations not only need to decide whether to keep the design and development of a product in-house or outsource, but they also need to be able to distinguish among potential suppliers in order to improve their Supply Chain performance. The Product’s Architecture is important to incorporating those interactions as it is typically established at the early stages of Product Development and impacts on the costs of collaboration within the Supply Chain. These decisions should be incorporated into the product design phases due to the two-way implications of the Product Architecture (PA) and its associated Supply Chain. However, despite the significance of this two-way interaction, previous research on this topic has focused mainly on the production stages of Product Development, and only a few studies have considered the supplier selection issue during the Product Design (PD) phases with the vast majority of those studies commencing at the later stages of PD (i.e. the detailed design phase of PD). Limited research exists at the early stages of PD and in particular the preliminary phase of PD where the PA is established. Moreover, this stage usually consists of uncertain data that managers have to work with and as such a method that can incorporate some element of uncertainty into the decision making is lacking. As a result, there is a pressing need to explore this issue further. In this thesis, a method was presented to integrate PA and Supply Chain Configuration (SCC) decisions. It begins with the PD aspect that analyses different chunk aggregation decisions of the PA, which then serves as a bridge connecting the different aggregated components and chunks to the suppliers. Then the supply chain aspect is analysed by looking at the performances of the different SCC under the different chunk aggregations. An Integer NonLinear Programming (INLP) model was then developed as it was deemed suitable to solve this. This INLP model was further extended to a stochastic model to incorporate for uncertainty in decision making in the early stages and explore if considering uncertainty early enough in decision making provided substantial benefits to the decision-makers. The developed INLP model was then evaluated by using a reverseengineered printer case study. The results obtained showed that it was beneficial for the Focal Company (FC) to incorporate SCC to the early design stages as this has implications on what PA the FC should select. The results also outlined what outsourcing strategy the FC should use when selecting suppliers. Also, the impact of different supplier characteristics on the decision of how the FC should aggregate the PA was tested. The results showed it is important for the FC to consider the different supplier characteristics when making PA decisions. Lastly, the INLP model was extended to a stochastic model to include uncertainty by varying the cost. The results were analysed using the concept of Expected Value of Perfect Information (EVPI), which is a well-established concept in tackling uncertainty. The results showed that it was beneficial for the FC to include uncertainty in decision making at the early stages of design. Finally, the model was tested via sensitivity analysis to validate the use of the model in this research—the sensitivity analysis aimed to test the behaviour of the model by varying different parameters in the model. After varying the data, the model produced the same results, which suggests the suitability of the use of the model. As a result, the optimisation of the Supply Chain (SC) and PA can be simultaneously accomplished during the preliminary design stages

    Adaptive Sustainable Supply Chains in a Volatile, Uncertain, Complex and Ambiguous (VUCA) Environment

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    This thesis explores specific tensions within sustainable supply chains (SSCs), focusing on disruptive multiple-crises, also known as VUCA (volatile, uncertain, complex and ambiguous) events such as Covid-19 and the Russia-Ukraine conflict. A systematic literature review (SLR) probes these tensions, and data have been analysed through semi-structured interviews and examination of Blockchain blogs, utilising qualitative research methods. Three inter-connected research studies form the core of this thesis. The first study reveals various barriers and tensions challenging SSCs, especially during disruptive events. An SLR highlights the significant tensions affecting SSCs, synthesizes them, and underlines directions for future research. The second study investigated how SSC leaders tackle the unique challenges presented by the global pandemic. Interviews with New Zealand executives offer vital insights and critical adaptation strategies for SSCs. This study presents a framework that explains strategic adaptations around VUCA event challenges, recommending fundamental paradigm shifts for improved decision-making, resource allocation, and operational flexibility. The third study brings a fresh perspective by viewing SSCs as value-co-creating ecosystems. It promotes using Blockchain to alleviate some of the identified tensions. The richness of this sphere is highlighted through an online content analysis of Blockchain blog discourse, which supplements the academic discussion and proposes strategies based on cross-disciplinary concepts. Set against the turbulent backdrop of multiple-crises VUCA events, this thesis aims to tackle the global challenges SSCs face. It breaks down these challenges, extracts critical lessons, and outlines paths forward for SSCs, concluding with the limitations of this research and directions for future investigation. In summary, this thesis integrates a range of methodologies and conceptual frameworks, advancing our understanding of sustainability within SSCs. It contributes practical managerial insights and leverages both traditional and emerging research avenues, offering a nuanced picture of sustainability in the SCs ecosystem

    Collaborative Product Development under Information Asymmetry

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    Product design stage is utterly important for successful product development, as up to 90% of the product costs are locked in during the concept and design engineering phases. At these phases, manufacturers of new products actively involve their suppliers to participate in product development. However, academic literature has not given sufficient attention to the link between the early supplier involvement stage and the subsequent mass production stage. The goals of the product developing manufacturer and its suppliers are not necessarily aligned, which can result in serious inefficiencies. Therefore, the objective of this thesis is to resolve the conflict of incentives at the product design stage when a manufacturer of a new product involves a supplier of a key component. This thesis considers three important facets of collaborative product development: (1) multiple alternative designs of the key component, (2) parallel component development by several suppliers, and (3) testing of the key component by the supplier in order to learn its quality. Relying on the methodology of non-cooperative game theory, the thesis provides practical prescriptions on how to mitigate the incentive misalignment in each of the three cases

    Implications of Accepting Underperforming Products for Supplier Development Efforts

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    https://msomconference2019.sched.com/event/Q28C/session-k0

    Accepting defective products: Implications for supplier incentives

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    The suppliers might sometimes develop a new product of the quality inferior to the buyer’s expectations. We model the possibility of conditional acceptance of such products by the buyer. Our goal is to track the effect of conditional acceptance on the supplier incentives to exert product development efforts. We construct a non-cooperative sequential game with risk-neutral players and analyze their equilibrium strategies. We find that implementing the conditional acceptance policy indeed affects the supplier incentives if the product is of relatively high value to the buyer. The effect direction depends on the cost of effort and project success probability.https://fbe.unimelb.edu.au/managementmarketing/events/17th-anza

    Managing Supplier Incentives for Key Component Testing

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    Suppliers of a key component for a new product are often required to perform testing of the key component. However, they might not have sufficient incentives to test the component if they do not fully internalize the risks of new product failure. We examine different contracts, such as reward and residual claimant contracts, and analyze their influence on the supplier incentives for component testing. Finally, we design a contract ensuring the suppliers keep to the efficient component testing level.http://meetings2.informs.org/wordpress/nashville2016/files/2016/10/Tuesday.pd

    La conception collaborative de produit sous l'asymétrie d'information

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    Product design stage is utterly important for successful product development, as up to 90% of the product costs are locked in during the concept and design engineering phases. At these phases, manufacturers of new products actively involve their suppliers to participate in product development. However, academic literature has not given sufficient attention to the link between the early supplier involvement stage and the subsequent mass production stage. The goals of the product developing manufacturer and its suppliers are not necessarily aligned, which can result in serious inefficiencies. Therefore, the objective of this thesis is to resolve the conflict of incentives at the product design stage when a manufacturer of a new product involves a supplier of a key component. This thesis considers three important facets of collaborative product development: (1) multiple alternative designs of the key component, (2) parallel component development by several suppliers, and (3) testing of the key component by the supplier in order to learn its quality. Relying on the methodology of non-cooperative game theory, the thesis provides practical prescriptions on how to mitigate the incentive misalignment in each of the three cases.Les premières phases de conception de produit sont très importantes pour le développement de produits à succès, parce que jusqu'à 90 % des coûts des produits sont verrouillés durant les phases de concept et d'ingénierie. Lors de ces phases, les entreprises impliquent activement leurs fournisseurs à participer au développement du produit. Cependant, la littérature académique n'a pas accordé suffisamment d'attention au lien entre le stade de l'implication des fournisseurs précoce et le stade de production en série subséquente. Les objectifs de l'entreprise, qui développe le nouveau produit, et ses fournisseurs ne sont pas nécessairement alignés, ce qui peut entraîner de graves inefficacités. Par conséquent, l'objectif de cette thèse est de résoudre le conflit d'incitations à l'étape de la conception du produit, lorsque le fabricant d'un nouveau produit implique le fournisseur du composant clé. Cette thèse considère trois scénarios importants de la conception collaborative de produit : (1) les plusieurs conceptions alternatives du composant clé, (2) le développement de composants en parallèle par plusieurs fournisseurs, et (3) le test du composant clé par le fournisseur afin d'apprendre sa qualité. S'appuyant sur la méthodologie de la théorie des jeux non coopératifs, la thèse fournit des prescriptions pratiques sur la façon d'atténuer le décalage d'incitation dans chacun des trois scénarios

    Coordination of Supplier Incentives for Component Testing

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    https://cdn.auckland.ac.nz/assets/business/about/our-research/research-institutes-and-centres/CSCM/msom-conference/16145%20MSOM%20programme%20pull%20out%20section.pd
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