Modeling and application of configuration complexity scale: concept for customized production

Bednár, Slavomír; Rauch, Erwin

doi:10.1007/s00170-018-2659-5

Cited by 12 publications

(8 citation statements)

References 32 publications

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“…Please note that, in the domain of assembly systems, product variety is only one of many sources of complexity. Some other sources include: assembly system design complexity [43]- [49], assembly task complexity [50], product complexity [51]- [57], assembly automation complexity [58], [59] and operational stochasticity [60].…”

Section: A Assembly System Complexitymentioning

confidence: 99%

Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off

2021

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Complexity has been argued to limit operational efficiency, hinder decision-making and induce disruption in supply chain networks. The main aim of this paper is to investigate the architectural trade-off between complexity and modularity in modular assembly supply chain networks. Towards this, an information-entropic complexity model is developed and applied to the domain of assembly supply chains and logistics. This approach characterises complexity as a combination of the intrinsic complexity of the system modules/interfaces and the influence of the topological composition of the network. The model is then used within an optimisation framework, where the optimal granularity level for assembly supply chain design solutions for a given assembly product can be automatically verified by considering the trade-off between complexity and network modularity. It is concluded that the proposed methodology could help to minimise the complexity of supply chain assembly configurations while maximising their modularity and thereby help to increase both the reliability and performance of supply chain networks.

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Section: A Assembly System Complexitymentioning

confidence: 99%

Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off

2021

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“…Mass customization brings a great deal of complexity to assembly operations, which affect key elements of the system as well as other nearby areas, such as quality, supply chain or maintenance.Assembly complexity has can been evaluated from different perspectives: the number of product variants [32], induced task differences [33] or product configuration [34]. Complexity has a negative effect on quality, which could be minimized by using cognitive automation [35].…”

Section: The Implications Of Complexitymentioning

confidence: 99%

Lean Manual Assembly 4.0: A Systematic Review

2020

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In a demand context of mass customization, shifting towards the mass personalization of products, assembly operations face the trade-off between highly productive automated systems and flexible manual operators. Novel digital technologies—conceptualized as Industry 4.0—suggest the possibility of simultaneously achieving superior productivity and flexibility. This article aims to address how Industry 4.0 technologies could improve the productivity, flexibility and quality of assembly operations. A systematic literature review was carried out, including 234 peer-reviewed articles from 2010–2020. As a result, the analysis was structured addressing four sets of research questions regarding (1) assembly for mass customization; (2) Industry 4.0 and performance evaluation; (3) Lean production as a starting point for smart factories, and (4) the implications of Industry 4.0 for people in assembly operations. It was found that mass customization brings great complexity that needs to be addressed at different levels from a holistic point of view; that Industry 4.0 offers powerful tools to achieve superior productivity and flexibility in assembly; that Lean is a great starting point for implementing such changes; and that people need to be considered central to Assembly 4.0. Developing methodologies for implementing Industry 4.0 to achieve specific business goals remains an open research topic.

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“…The influencing factors of MC capability can be summarized into four aspects: product design, process management, supply chain management and organizational change. In terms of product design, scholars mainly explored the influence of product modularity (Bednar and Rauch, 2019;Tang et al, 2017;Zhang et al, 2014), standardization and innovation (Wang et al, 2016) on MC capability. For process management, process modularization (Tu et al, 2004) and information technology (Peng et al, 2011) are the focus of research.…”

Section: Capabilitymentioning

confidence: 99%

Motives and performance outcomes of mass customization capability: evidence from Chinese manufacturers

Sheng

Feng

Chen

et al. 2020

JMTM

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PurposeThe purpose of this study aims to develop and test a motives-mass customization (MC) capability-performance model by dividing MC capability into product-oriented MC capability and service-oriented MC capability.Design/methodology/approachThis research tests the hypothesized relationships using survey data from 277 Chinese manufacturing firms.FindingsThe results indicate that instrumental, relational and moral motives all have significantly positive impacts on product-oriented and service-oriented MC capability. The authors also find that product-oriented MC capability partially mediates the impacts of relational and moral motives on operational, environmental and economic performance, while service-oriented MC capability partially mediates the impacts of instrumental, relational and moral motives on operational, market, environmental and economic performance.Originality/valueThis study complements the existing MC literature by describing MC capability into two dimensions: product-oriented MC capability and service-oriented MC capability.

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Modeling and application of configuration complexity scale: concept for customized production

Cited by 12 publications

References 32 publications

Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off

Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off

Lean Manual Assembly 4.0: A Systematic Review

Motives and performance outcomes of mass customization capability: evidence from Chinese manufacturers

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