Product Innovation Index Using Linkograph Analysis

Lingannavar, Ravi; Yammiyavar, Pradeep

doi:10.1007/978-981-13-5974-3_26

Cited by 3 publications

(2 citation statements)

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“…The target values of quality and flexibility also tend to be difficult to quantify directly. Here, existing indices from literature are often used to support a relative comparison of alternative product architecture concepts, such as the Product Innovation Index (I) [58] (ID 1120), the Generational Variety Index [59] (ID 1130), or the Benefit-Cost-Ratio (BCR) [60] (ID 1140).…”

Section: Integration Of Boundary Conditions Kpis and Temporal Dependencymentioning

confidence: 99%

Knowledge-Based Decision Support for Concept Evaluation Using the Extended Impact Model of Modular Product Families

et al. 2022

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The design of modular product families enables a high external variety of products by a low internal variety of components and processes. This variety optimization leads to large economic savings along the entire value chain. However, when designing and selecting suitable modular product architecture concepts, often only direct costs are considered, and indirect costs as well as cross-cost center benefits are neglected. A lack of knowledge about the full savings potential often results in the selection of inferior solutions. Since available approaches do not adequately address this problem, this paper provides a new methodological support tool that ensures consideration of the full savings potentials in the evaluation of modular product architecture concepts. For this purpose, the visual knowledge base of the Impact Model of Modular Product Families (IMF) is used, extended and implemented in a model-based environment using SysML. The newly developed Sys-IMF is then applied to the product family example of electric medium-voltage motors. The support tool is dynamic, expandable and filterable and embedded in a methodical procedure for knowledge-based decision support. Sys-IMF supports decision makers in the early phase of interdisciplinary product development and enables the selection of the most suitable modular solution for the company.

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Section: Integration Of Boundary Conditions Kpis and Temporal Dependencymentioning

confidence: 99%

Knowledge-Based Decision Support for Concept Evaluation Using the Extended Impact Model of Modular Product Families

et al. 2022

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“…have been utilised to assess the dynamics of the enablers of I4.0 implementation in industries. The four key techniques (Lingannavar and Yammiyavar, 2017) suitable for Indian Small Scale industries are SCAMPER, 5W1H, PDCA and QFD. Quality Function Deployment (QFD) approach which, in the past, has primarily been applied to new product or process design is, in the current paper, being used for understanding the dynamics amongst the dimensions of I4.0 in MSME.…”

Section: Introductionmentioning

confidence: 99%

Prioritising the determinants of Industry-4.0 for implementation in MSME in the post-pandemic period – a quality function deployment analysis

Agarwal

Ojha

2022

TQM

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PurposeMicro, Small, Medium Enterprises (MSMEs) are witnessing an accelerated transformation by the advent of Industry-4.0 (I4.0) in the post-pandemic period. It is offering promising customer responsiveness, competitiveness, business growth and sustainability and thereby, compelling its integration to MSMEs. Therefore, it is imperative for researchers to explore Industry 4.0 challenges and their specific implementation requirements and also provide useful insights to the stakeholders.Design/methodology/approachThis research paper has identified, explained and analysed various determinants of the I4.0 implementation, in MSME context. Focus group approach has been applied for taking inputs from experts for developing the House of Quality (HOQ) tool of the Quality Function Deployment (QFD) methodology from the Total Quality Management (TQM) tool-box.FindingsBased on the responses and after applying QFD, a conceptual model suggesting relevant strategies to execute I4.0 by Indian MSMEs has been developed. The model highlights three key challenges being faced by the Indian MSMEs –Top management support, Incompatible resources and Transition cost. The model also reveals vital few designer's descriptors – Cultural reorientation, IT enabled digitization, Process automation and knowledge and skill in I4.0 implementation (Knowhow) for a structured implementation of I4.0.Practical implicationsThe evolved HOQ framework has provided some useful insights - priority areas in the MSME challenges and the designer's descriptors for I4.0 implementation in MSME. The research has also provided the understanding of the dynamics between the I4.0 components through the 10 × 10 interrelationship matrix of the HOQ. Farsighted MSME leaders, practising consultants, sourcing managers and policy makers can use the developed framework as a reference in formulating tactics to mitigate the I4.0 implementation barriers.Originality/valueThe non-conventional application of HOQ in the QFD approach from the TQM tool-box is a useful value addition to the TQM practitioners. The useful insights to the MSME leaders, policy makers, sourcing managers of OEM, consultants engaged in I4.0 transformation and academic researchers are the other contribution.

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