A review on manufacturing flexibility

Jain, Anuj; Jain, Pramod Kumar; Chan, Felix T. S.; Singh, Sanjiv

doi:10.1080/00207543.2013.824627

Cited by 141 publications

(123 citation statements)

References 99 publications

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“…Process flexibility enables the production of multiple product variants using the same equipment, enabling higher utilization of machines and the ability to react to changes in market demand between product variants [14]. Process flexibility is communicated by modelling the part related parameter ranges available in the main stations and illustrating the known relevant part types that can be produced.…”

Section: Capabilitymentioning

confidence: 99%

“…• Capabilities, as these can be expanded upon to enable delayed investment for capabilities that are not needed until later on-interfaces between sub-systems are central to facilitating capability expansion [14].…”

Section: Expansions To the Psa (What Should It Be Able To Do In The Fmentioning

confidence: 99%

“…• Product flexibility, as the capability to produce new product variants economically and quickly [14,15] is necessary when the product architecture description is not complete-the aim should be to obtain the right flexibility [16,17].…”

Section: Functional Elements Of a Psa (What Can It Do?)mentioning

confidence: 99%

“…They are modelled with an emphasis on product variant creation and system level manufacturing flexibility, which includes process, routing, product and volume flexibilities [44]. Flexibility is modelled to indicate what can be handled bythe PSA and what its limitations are, while the product variant creation indicates product differentiation points [21] and relates the PSA to the currently known spectrum of achievable product variants.Process flexibility enables the production of multiple product variants using the same equipment, enabling higher utilization of machines and the ability to react to changes in market demand between product variants [14]. Process flexibility is communicated by modelling the part related parameter ranges available in the main stations and illustrating the known relevant part types that can be produced.…”

mentioning

confidence: 99%

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Modelling production system architectures in the early phases of product development

Guðlaugsson

Ravn

Mortensen

et al. 2016

Concurrent Engineering

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This article suggests a framework for modeling a Production System Architecture (PSA) in the early phases of product development. The challenge in these phases is that the products to be produced are not completely defined and yet decisions need to be made early in the process on what investments are needed and appropriate to enable determination of obtainable product quality.In order to meet this challenge, it is suggested that a visual modeling framework be adopted that clarifies which product and production features are known at a specific time of the project and which features will be worked on-leading to an improved basis for prioritizing activities in the project.Requirements for the contents of the framework are presented and literature on production and system models is reviewed. The PSA modeling framework is founded on methods and approaches in literature and adjusted to fit the modeling requirements of a PSA at an early phase of development. The PSA models capture and describe the structure, capabilities and expansions of the PSA under development.The PSA modeling framework is tested in a case study and the results indicate that the modeling process facilitates identification of critical factors of the PSA, that the PSA models capture and describe the structure, capabilities, and expansions of a PSA under development, and that the PSA models can facilitate dialogue on the PSA between heterogeneous stakeholder groups. Draft page 2Keywords: Production modeling, system modeling, production architecture, production system architecture, production modeling, product architecture, concurrent engineering. IntroductionWhen developing a Production System Architecture (PSA), methods exist for describing the product architecture [1][2][3]; however, when developing a product architecture in parallel with developing new products during technology development, the definition of the products and the production system that existing approaches in literature rely on, are not complete.To support the development of the production system despite the incomplete definition of both the products and the production system, two approaches may be valuable: (i) Graphically modelling the incompletely defined PSA [4]. (ii) Developing the PSA concurrently with the development of the product architecture that will define the products to be produced by the PSA [5][6][7][8]. To accomplish this, however, we need a modelling approach which clearly shows which parts of the product and production system architecture have been defined and stabilized, and which parts are still under development.Concurrent development of product architecture and a PSA during technology development is illustrated in Figure 1. The production task definition [9] in the early phases includes external factors leading to crucial functional requirements to the production system. In technology developmentcovering Technology Readiness Levels 1-5 [10]-the product design, product performance, required and obtainable product quality, production processes, and produ...

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Section: Capabilitymentioning

confidence: 99%

Section: Expansions To the Psa (What Should It Be Able To Do In The Fmentioning

confidence: 99%

Section: Functional Elements Of a Psa (What Can It Do?)mentioning

confidence: 99%

mentioning

confidence: 99%

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Modelling production system architectures in the early phases of product development

Guðlaugsson

Ravn

Mortensen

et al. 2016

Concurrent Engineering

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“…However, they focus on the manufacturing practices rather than on how assets are agile (see Aravind Raj et al, (2013)). Also in the literature on flexible manufacturing systems, the focus is on the performance characteristics of the system or its manufacturing practices rather than its physical attributes (Koste et al, 2004;Jain et al, 2013;Dubey and Gunasekaran, 2014). Physical assets are the primary focus of the Asset Management literature.…”

Section: Chaptermentioning

confidence: 99%

Manoeuvring physical assets into the future

Ruitenburg¹

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Developing supply chain resilience through integration: An empirical study on an e‐commerce platform

Wang

Zhang

et al. 2022

J of Ops Management

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The outbreak of the COVID‐19 pandemic has disrupted supply chains and increased the uncertainties faced by firms. While firms are struggling to survive and recover from the pandemic, Chinese e‐commerce platforms have demonstrated resilient supply chains. We develop a framework that investigates the impacts of integration between an e‐commerce platform and suppliers on supply chain resilience and the moderating effect of the suppliers' product flexibility. An analysis of data from a Chinese e‐commerce platform using operational indicators finds that integration between the e‐commerce platform and suppliers in terms of information sharing, joint planning and logistics cooperation has positive impacts on supply chain resilience, while procurement automation has the opposite effect. Furthermore, product flexibility positively moderates the impacts of information sharing, joint planning and logistics cooperation. The results enhance current understandings of the factors that contribute to the development of supply chain resilience and reveal that the relationship between integration and resilience should be examined within a contingency framework. The findings also provide guidelines for managers taking measures to mitigate the negative influences of supply chain disruptions.

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A review on manufacturing flexibility

Cited by 141 publications

References 99 publications

Modelling production system architectures in the early phases of product development

Modelling production system architectures in the early phases of product development

Manoeuvring physical assets into the future

Developing supply chain resilience through integration: An empirical study on an e‐commerce platform

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