Engineering design complexity: an investigation of methods and measures

Ameri, Farhad; Summers, Joshua D.; Mocko, Gregory M.; Porter, M. B.

doi:10.1007/s00163-008-0053-2

Cited by 129 publications

(69 citation statements)

References 14 publications

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“…As Roberts (2013) states: It has unknowable ''known unknown'' that drives design but also challenges it. It emphasizes the necessity of dealing with uncertainty and complexity in design, a subject on which various scholars in design sciences propose methods and models (Suh 1999;Crossland et al 2003;Ameri et al 2008). For instance, Axiomatic Design (Suh 1990) is helpful in dealing with such complexity as it provides a mapping, first of the design process that identifies the functional requirements (FRs) that will specify the customers' needs, and second of the design parameters (DPs) that will satisfy the functional requirements.…”

Section: Discussion and Perspectivesmentioning

confidence: 99%

Innovative design for agriculture in the move towards sustainability: scientific challenges

et al. 2016

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International audienceAgriculture is facing increasing innovation challenges to meet current societal expectations, yet very few design science studies are devoted to it. This paper highlights some of the particularities of the objects, reasoning and organization of design in agriculture that may open fruitful scientific dialogue between design scientists and agricultural scientists. We first provide an overview of the broad range of objects that are designed in agriculture, and point out their specific characteristics with regard to design. We then identify some particular challenges of design activities in agriculture and review how they have been addressed up to now. Finally, we discuss how design challenges and characteristics in agriculture can contribute to current debate in the field of design science. We propose two main lines of inquiry and debate: enhancing the links between design reasoning and organization, and further conceptualizing the status of use situations in design to deal with uncertainties and complexity in design processes. Acknowledgements: We thank our two research divisions at INRA (French National Institute for Agricultural Research) for their support to the research on design in agriculture: the Science for Action and Development (SAD) division and the Environment & Agronomy (EA) division. This work was realized on the initiative of the newly born INRA institute for design in agrifood systems. We thank Liz Libbrecht for language editing the English version of this paper, and are deeply grateful to the three anonymous reviewers for their comments that were of great help for improving this article

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Section: Discussion and Perspectivesmentioning

confidence: 99%

Innovative design for agriculture in the move towards sustainability: scientific challenges

et al. 2016

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“…A large body of literature defines and quantifies complexity in system design (e.g., Braha and Maimon 1998b;Bashir and Thomson 1999;ElHaik and Yang 1999;Ameri et al 2008;Summers and Shah 2010). Most metrics consider the effect of structural features of system size (e.g., lines of code, number of components, number of functions) or degree of coupling on design cost.…”

Section: Background and Research Objectives 21 Complexity In Designmentioning

confidence: 99%

Collaboration and complexity: an experiment on the effect of multi-actor coupled design

Grogan

Weck

2016

Res Eng Design

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Design of complex systems requires collaborative teams to overcome limitations of individuals; however, teamwork contributes new sources of complexity related to information exchange among members. This paper formulates a human subjects experiment to quantify the relative contribution of technical and social sources of complexity to design effort using a surrogate task based on a parameter design problem. Ten groups of 3 subjects each perform 42 design tasks with variable problem size and coupling (technical complexity) and team size (social complexity) to measure completion time (design effort). Results of a two-level regression model replicate past work to show completion time grows geometrically with problem size for highly coupled tasks. New findings show the effect of team size is independent from problem size for both coupled and uncoupled tasks considered in this study. Collaboration contributes a large fraction of total effort, and it increases with team size: about 50-60 % of time and 70-80 % of cost for pairs and 60-80 % of time and 90 % of cost for triads. Conclusions identify a role for improved design methods and tools to anticipate and overcome the high cost of collaboration.

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“…In the designing process, it should also fulfill several criteria and backgrounds which justify the making of this vacuum, which is to help the process of vacuuming air from the food product packages in which it is conducted by continuous vacuum sealer packaging machine with a conveyor mechanism [7]. In this step, doing a literature review results in a design which is considered to be the most optimal to be employed in designing vacuum which functions as a tool to help the food product vacuuming process in the plastic packages in which it is done by continuous vacuum sealer packaging machine with a conveyor mechanism [8]. …”

Section: Parts Designmentioning

confidence: 99%

Redesigning the continuous vacuum sealer packaging machine to improve the processing speed

Belo¹,

Widyanto²,

Jamari³

2017

AIP Conference Proceedings

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Engineering design complexity: an investigation of methods and measures

Cited by 129 publications

References 14 publications

Innovative design for agriculture in the move towards sustainability: scientific challenges

Innovative design for agriculture in the move towards sustainability: scientific challenges

Collaboration and complexity: an experiment on the effect of multi-actor coupled design

Redesigning the continuous vacuum sealer packaging machine to improve the processing speed

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