Use of Digital Manufacturing to Improve Operator Learning in Aerospace Assembly

Butterfield, Joseph; Curran, Richard; Watson, Gerald J.; Craig, Cathy; Raghunathan, Srinivasan; Collins, Rory; Edgar, Thomas W.; Higgins, Colm; Burke, Robert; Kelly, P.; Gibson, C.

doi:10.2514/6.2007-7865

Cited by 11 publications

(4 citation statements)

References 1 publication

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“…Real world issues relating to maintenance can be embedded within the virtual model and drive the design choices made by the engineer, including the hierarchical summation of sub system process definitions and parameters within a PPR structure. The simulations deliver process details from an engineering perspective, which include work breakdown structures for maintenance operations, delivery of representative times for machining and manual activities, identification of cost drivers such as labour, tooling, fixturing, inventory etc., and the generation of instructional materials [19]. More importantly, the enhanced PPR structure demonstrated here, provides an integrated framework for the generation, management and delivery of engineering process definitions.…”

Section: Discussionmentioning

confidence: 95%

“…From the specific view point of availability contracting, these tools also, as a byproduct of digital design and build validation strategies, generate materials which can be used directly for training, thus negating the need for separate instructional authoring for assembly during manufacture and potentially, dis-assembly during maintenance or decomissioning. This is an important factor when considering the issue of knowledge transfer between lifecycle stages as it has been shown that when used for an assembly task, digital instructional materials can be a more effective learning tool than traditional hard copy assembly drawings or written instructions [19].…”

Section: Introductionmentioning

confidence: 99%

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The use of process simulation methods in support of organisational learning in availability contracting

McEwan

Butterfield

2011

AOP

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Traditional business models in the aerospace industry are based on a conventional supplier to customer relationship based on the design, manufacture and subsequent delivery of the physical product. Service provision, from the manufacturer's perspective, is typically limited to the supply of procedural documentation and the provision of spare parts to the end user as the product passes through the latter stages of its intended lifecycle. Challenging economic and political conditions have resulted in end users restructuring their core business activities, particularly in the defence sector. This has resulted in the need for original equipment manufacturers (OEMs) to integrate and manage support service activities in partnership with the customer to deliver platform availability. This improves the probability of commercial sustainability for the OEM through shared operational risks while reducing the cost of platform ownership for the customer. The need for OEMs to evolve their design, manufacture and supply strategies by focusing on customer requirements has revealed a need for reconstruction of traditional internal behaviours and design methodologies. Application of organisational learning is now a well recognised principle for innovative companies to achieve long term growth and sustained technical development, and hence, greater market command. It focuses on the process by which the organisation's knowledge and value base changes, leading to improved problem solving ability and capacity for action. From the perspective of availability contracting, knowledge and the processes by which it is generated, used and retained, become primary assets within the learning organisation. This paper will introduce the application of digital methods to asset management by demonstrating how the process of learning can benefit from a digital approach, how product and process design can be integrated within a virtual framework and finally how the approach can be applied in a service context.

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Section: Discussionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

The use of process simulation methods in support of organisational learning in availability contracting

McEwan

Butterfield

2011

AOP

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“…On the other hand, it is inexact to compare RCs with variable costs because the recurring overheads, e.g. energy consumption expenses, are instead fixed [37] Once the classification of costs has been made, independently of the method followed, the total manufacturing cost will be obtained adding the RCs and NRCs since they encompass all the costs that appear during the product life cycle stages [38]. The Learning Curves (LCs) theory is linked to management control and represents a powerful tool for accurate cost analysis.…”

Section: Costsmentioning

confidence: 99%

“…Once the classification of costs has been made, independently of the method followed, the total manufacturing cost will be obtained by adding the RCs and NRCs, since they encompass all the costs that appear during the product life cycle stages [38]. Learning curve theory is linked to management control, and represents a powerful tool for accurate cost analysis.…”

Section: Costsmentioning

confidence: 99%

Modelling production ramp-up of engineering products

Ball

Roberts

Natalicchio

et al. 2011

Proceedings of the Institution of Mechanical Engineers, Part B:

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Companies that introduce new products quickly have been shown to be better performers. The effectiveness of the new product introduction process is critical to their performance. Production ramp-up is a necessary phase of new product introduction and both planning and execution need careful consideration especially for engineered products which are generally typified by design, purchasing and production complexity. Better understanding of the issues and more effective modelling of options should lead to more predictable and quicker ramp-up. Examination of the literature, however, reveals little attention has been paid to this area. What knowledge exists tends to concentrate on specific aspects such as capacity or learning or costs. This paper reviews the ramp-up literature in general along with the specific components in more detail to establish how current work can be combined to develop the architecture for a modelling tool for engineering product ramp-up. The contribution of the paper is to provide a wider view of ramp-up, to present it as a topic worthy of consideration in its own right, and to introduce a prototype modelling tool which can aid the investigation and solutions of the issues that the paper raises.

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Value‐Driven Manufacture: Digital Lean Manufacture

Curran

Butterfield

Jin

et al. 2010

Encyclopedia of Aerospace Engineering

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The chapter presents the utilization of digital manufacture with a value‐driven Manufacture context, including the development of digital manufacturing capability for integration into the Integrated Product Process Development process. As part of the business process the key phase being addressed is the concurrent integration of manufacturing requirements at the stage when design geometry has been released. The digital manufacturing platform is used to provide simulations of the assembly process that have been developed in order provide simultaneous estimation of the associated learning curves, cycle time, recurring cost, and throughput. The integration of Lean principles at the program and functional levels will also be addressed as the Lean approach underwrites the entire program. Fundamentally, the compression of lead time, increase in value‐added effort, and reduction in waste and inefficiency are the key Lean challenges being addressed. Consequently, a Lean Implementation Methodology will be presented while the Lean characteristics of the functional development will also be highlighted. The latter also includes the Lean Flow Accounting Methodology that addresses the Lean flow of work through a plant in order to maximize value‐added effort according to a top‐down assessment of financial value and optimal throughput, thereby reducing Work In Progress.

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Use of Digital Manufacturing to Improve Operator Learning in Aerospace Assembly

Cited by 11 publications

References 1 publication

The use of process simulation methods in support of organisational learning in availability contracting

The use of process simulation methods in support of organisational learning in availability contracting

Modelling production ramp-up of engineering products

Value‐Driven Manufacture: Digital Lean Manufacture

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