Document Type

Proceeding

Presentation Date

6-2016

Conference Name

26th CIRP Design Conference

Conference Location

Stockholm, Sweden

Source of Publication

Procedia CIRP

Publisher

Elsevier

Volume

50

Inclusive pages

647-652

Abstract

Desired business results are the direct result of the system design. It is also theorized that the 'thinking' within an organization creates the organization's 'structure' or design, which then drives the system's 'behavior.' Achievement of enduring change in a system's performance must begin with a change in the thinking of all the people in the enterprise, but especially that of leadership. In the absence of such a change in the thinking, the needed structural changes within a system may result in short-lived, point solutions, resulting in localized optimization of sub-systems versus systemic improvement. Axiomatic design, applied to a manufacturing system, is a design methodology to best reflect, understand and control the inherent complexity of large-scale integrated systems. System stability, and ultimately cost and span-time reduction, are the desired objectives of system design. This paper provides an overview of the manufacturing system design decomposition, and discusses the integrated use of data analytics to identify bottlenecks for system-improvement and use of the manufacturing system design decomposition to cost-justify resource allocation decisions for improvement.

Keywords

System's performance, Resource allocation decision, Large scale integrated systems, Continuous improvements, Big data, Digital storage, Manufacture, System stability, Systems analysis, Axiomatic Design, Data Analytics, Enterprise Architecture, Lean, Manufacturing System Design, Systems Engineering

Disciplines

Engineering

Included in

Engineering Commons

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