A participatory systems design methodology for changeable manufacturing systems

Andersen, Ann-Louise; ElMaraghy, Hoda A.; ElMaraghy, Waguih; Brunoe, Thomas Ditlev; Nielsen, Kjeld

doi:10.1080/00207543.2017.1394594

Cited by 30 publications

(20 citation statements)

References 46 publications

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“…Aside from the above works-in-progress, more research is still needed in the preliminary stages of platform development. This includes quantification of the potential of applying production platforms, and ways to determine the appropriate type or amount of production platforms for a given company [21]. Another area is the modelling of production platforms and subsequent mapping to corresponding product platform models.…”

Section: Discussion and Future Researchmentioning

confidence: 99%

Challenges in Production and Manufacturing Systems Platform Development for Changeable Manufacturing

Sørensen

Brunoe

Nielsen

2018

IFIP Advances in Information and Communication Technology

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Development of platforms for products has proven a successful way to manage and address several challenges related to increasing variety and accelerating product development cycles. Thus, it is natural to assume that platforms may facilitate similar benefits for manufacturing systems, as they are both technical systems. Production and manufacturing systems platform development is, however, still an area of research lacking maturity. Development of platforms in this field comes with a set of challenges not necessarily found in product platform development. Looking towards other fields of research or science may be necessary to address these challenges. This paper aims to study challenges related to production and manufacturing systems platform development and describe how these have been addressed. It does so through an evolving case study based on four projects with an industrial collaborator. This leads to setting the stage for future research on production platforms.

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Section: Discussion and Future Researchmentioning

confidence: 99%

Challenges in Production and Manufacturing Systems Platform Development for Changeable Manufacturing

Sørensen

Brunoe

Nielsen

2018

IFIP Advances in Information and Communication Technology

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“…Therefore, change enablers play a fundamental role in the design process of reconfigurable manufacturing systems. In this process, the right change enablers must first of all be selected in accordance with the requirement of change identified through the change enablers [5]. Secondly, decisions on how to realize the change enablers must be made, which involves considering on which structuring level they should be implemented and in which system elements they should be embedded [5].…”

Section: Automatibilitymentioning

confidence: 99%

“…In this process, the right change enablers must first of all be selected in accordance with the requirement of change identified through the change enablers [5]. Secondly, decisions on how to realize the change enablers must be made, which involves considering on which structuring level they should be implemented and in which system elements they should be embedded [5]. Consequently, designing changeable and reconfigurable manufacturing systems that embed the right enablers is a complex task, as enablers are numerous and can be implemented in various ways to enhance system performance and ability to change in the desired way.…”

Section: Automatibilitymentioning

confidence: 99%

“…Designing changeable and reconfigurable manufacturing systems requires three fundamental activities; 1) identification of the system's lifetime requirements and drivers of change, 2) development of system design concepts with the right enablers and degree of change, and 3) development of a detailed system solution that embeds and realizes the required combination of change enablers [5]. In other words, the design of changeable and reconfigurable manufacturing systems takes outset in selecting the right combinations of enablers to improve changeability and enhance performance of the manufacturing system [6], [7].…”

Section: Introductionmentioning

confidence: 99%

“…In other words, the design of changeable and reconfigurable manufacturing systems takes outset in selecting the right combinations of enablers to improve changeability and enhance performance of the manufacturing system [6], [7]. However, in previous research, enablers of change such as the reconfigurability enablers are predominately regarded individually and on rather abstract levels with only limited consideration of their inherent relations when being implemented [5], [6], [8]. Moreover, the actual impact of their implementation in manufacturing systems is usually regarded on rather conceptual levels without empirical evidence, e.g.…”

Section: Introductionmentioning

confidence: 99%

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Understanding Changeability Enablers and Their Impact on Performance in Manufacturing Companies

Andersen¹,

Nielsen²,

Brunoe³

et al. 2018

IFIP Advances in Information and Communication Technology

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Managing and capitalizing on product variety, customization, personalization, decreasing batch sizes, as well as rapid new product introductions are prevailing challenges facing today's manufacturing companies. Changeable and reconfigurable manufacturing systems have been widely accepted as means to respond to these challenges, due to their ability to accommodate continuous and cost-efficient change in functionality and capacity. However, enablers of reconfigurability that should be selected during manufacturing system design are in current research rarely regarded in terms of their inherent relations and impact on manufacturing performance. Therefore, the aim of this paper is to explore implementation relations between physical enablers of reconfigurability on system and equipment level and their effect on manufacturing performance. For this purpose, a quantitative questionnaire-based survey has been conducted in various Danish manufacturing companies. The findings suggest that most reconfigurability enablers correlate strongly in their implementation and their extent of implementation generally correlates with critical performance aspects such as profitability, ramp-up time, and life-time of production systems.

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