17,106 research outputs found

    Engineering simulations for cancer systems biology

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    Computer simulation can be used to inform in vivo and in vitro experimentation, enabling rapid, low-cost hypothesis generation and directing experimental design in order to test those hypotheses. In this way, in silico models become a scientific instrument for investigation, and so should be developed to high standards, be carefully calibrated and their findings presented in such that they may be reproduced. Here, we outline a framework that supports developing simulations as scientific instruments, and we select cancer systems biology as an exemplar domain, with a particular focus on cellular signalling models. We consider the challenges of lack of data, incomplete knowledge and modelling in the context of a rapidly changing knowledge base. Our framework comprises a process to clearly separate scientific and engineering concerns in model and simulation development, and an argumentation approach to documenting models for rigorous way of recording assumptions and knowledge gaps. We propose interactive, dynamic visualisation tools to enable the biological community to interact with cellular signalling models directly for experimental design. There is a mismatch in scale between these cellular models and tissue structures that are affected by tumours, and bridging this gap requires substantial computational resource. We present concurrent programming as a technology to link scales without losing important details through model simplification. We discuss the value of combining this technology, interactive visualisation, argumentation and model separation to support development of multi-scale models that represent biologically plausible cells arranged in biologically plausible structures that model cell behaviour, interactions and response to therapeutic interventions

    Stage Configuration for Capital Goods:Supporting Order Capturing in Mass Customization

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    Applying lean principles and set-based approaches in product development

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    The research described in this thesis addresses the problem of transformation to lean product development (LPD) and how to introduce and support the use of set-based design (SBD) in the concept development process. The original description of SBD does not define how to generate, evaluate and reduce a set of design solutions. Evaluation of solution candidates, which are too complex to be analytically verified, or are driven by qualitative criteria, has here been given special attention, particularly in cases when methods utilising human judgment may be needed. For some products, the solution space can consist of both principally different alternatives and parameterised variants of these. The question here is if established methods can be combined and introduced in an efficient way to support an SBD process for development of such products, when driven by both quantitative and qualitative criteria.The research approaches used are:-\ua0\ua0\ua0\ua0\ua0\ua0\ua0\ua0\ua0 a two-case study (Yin, 2009), -\ua0\ua0\ua0\ua0\ua0\ua0\ua0\ua0\ua0 the design research methodology (Blessing and Chakrabarti, 2009), and -\ua0\ua0\ua0\ua0\ua0\ua0\ua0\ua0\ua0 the scientific work paradigm (J\uf8rgensen, 1992), the last two combined with multiple case studies. Also, elements of action research (Oosthuizen, 2002) are used. The results show that the principles and introduction of LPD were experienced as positive by participating practitioners in the conducted case studies. It was furthermore shown that SBD can be introduced and applied in a workshop at team level within a time frame of one or two working days if the design problem at hand is not too complex. Another result is that SBD can be combined with and supported by established methods such as creative and systematic methods for synthesis, enhanced function-means modelling, axiomatic design, extended causal diagrammes, interactive evolutionary algorithms (IEA) and Pugh matrices for generation, analysis, evaluation and reduction of a solution space of design alternatives and variants of these. Both qualitative and quantitative requirements can be handled. The conclusions are that a transformation to LPD is facilitated by information about good examples and internal support by management. Also, the existence of a lean enthusiast in the organization and an appropriate implementation plan supports a transformation to LPD. A function to maintain the LPD system as well as influence of the lean principles are valuable guides on how to use LPD.\ua0 Also concluded is that a seamless, efficient process, applying set-based principles, for synthesis, evaluation, and reduction of a solution space of design alternatives can be created by combining enhanced function-means modelling, morphological matrices, axiomatic design, causal diagrammes and Pugh matrices. Such a compound of methods can be introduced and applied in a workshop at team level within a time frame of one to two days when solving well-known and not too complex design problems. The workshop should be facilitated by an expert on the methods used and initiated and surveyed by a team manager. Furthermore, a solution space of parameterised design variants, with criteria that are either qualitative or too complicated to be numerically defined, can be generated, evaluated and reduced in such a process. By using a defined set of functional and constraining criteria, and applying axiomatic design and IEA, a variant solution space can be generated and refined. A set-up of the IEA that does not overburden the user should be preferred

    A comparison of processing techniques for producing prototype injection moulding inserts.

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    This project involves the investigation of processing techniques for producing low-cost moulding inserts used in the particulate injection moulding (PIM) process. Prototype moulds were made from both additive and subtractive processes as well as a combination of the two. The general motivation for this was to reduce the entry cost of users when considering PIM. PIM cavity inserts were first made by conventional machining from a polymer block using the pocket NC desktop mill. PIM cavity inserts were also made by fused filament deposition modelling using the Tiertime UP plus 3D printer. The injection moulding trials manifested in surface finish and part removal defects. The feedstock was a titanium metal blend which is brittle in comparison to commodity polymers. That in combination with the mesoscale features, small cross-sections and complex geometries were considered the main problems. For both processing methods, fixes were identified and made to test the theory. These consisted of a blended approach that saw a combination of both the additive and subtractive processes being used. The parts produced from the three processing methods are investigated and their respective merits and issues are discussed

    ๋ชจ๋“ˆ๋Ÿฌ ์ œํ’ˆ๊ตฐ ์šด์˜์„ ์œ„ํ•œ ๋‹ค์–‘์„ฑ ๊ด€๋ฆฌ ๋ฐฉ๋ฒ•๋ก 

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์‚ฐ์—…๊ณตํ•™๊ณผ, 2021. 2. ํ™์œ ์„.๊ธ€๋กœ๋ฒŒ ์ œ์กฐ์—…์ฒด๋“ค์€ ๋‹ค์–‘ํ•œ ์ œํ’ˆ์„ ์ถœ์‹œํ•˜๊ธฐ ์œ„ํ•ด ๋ชจ๋“ˆ๋Ÿฌ ๋””์ž์ธ ์ „๋žต์„ ์ œํ’ˆ๊ฐœ๋ฐœ์— ์ ์šฉํ•ด์™”๋‹ค. ๋ชจ๋“ˆ๋Ÿฌ ๋””์ž์ธ ์ „๋žต์€ ์ œํ’ˆ์„ ๋ชจ๋“ˆ ๋‹จ์œ„๋กœ ๊ตฌ๋ถ„ํ•œ ํ›„, ์—ฌ๋Ÿฌ ์ข…๋ฅ˜์˜ ๋ชจ๋“ˆ์„ ์กฐํ•ฉํ•˜์—ฌ ์ƒˆ๋กœ์šด ์ œํ’ˆ์„ ๋งŒ๋“œ๋Š” ์ „๋žต์ด๋‹ค. ๋ชจ๋“ˆ๋Ÿฌ ๋””์ž์ธ์€ ์ œ์กฐ์—…์ฒด๊ฐ€ ์ œํ’ˆ๋‹ค์–‘์„ฑ์„ ๋‹ฌ์„ฑํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜์˜€์ง€๋งŒ, ์ œ๊ณตํ•˜๋Š” ์ œํ’ˆ์˜ ์ˆ˜๊ฐ€ ๋ฌด์ˆ˜ํžˆ ๋งŽ์•„์ง€๋ฉด์„œ ์ œํ’ˆ๋‹ค์–‘์„ฑ์œผ๋กœ ์ธํ•œ ์•ˆ ์ข‹์€ ์˜ํ–ฅ๋“ค์ด ์„ค๊ณ„ ์˜์—ญ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ์‹œ์žฅ, ์ƒ์‚ฐ ์˜์—ญ์—์„œ ์ง€์†์ ์œผ๋กœ ๋ฐœ์ƒํ•˜๊ณ  ์žˆ๋Š” ์‹ค์ •์ด๋‹ค. ๋”ฐ๋ผ์„œ, ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ œํ’ˆ๋‹ค์–‘์„ฑ์˜ ์•ˆ ์ข‹์€ ์˜ํ–ฅ์„ ์ค„์ผ ์ˆ˜ ์žˆ๋„๋ก ์ด๋ฅผ ์ฒด๊ณ„์ ์œผ๋กœ ๊ฐœ๋ฐœํ•˜๊ณ  ์šด์˜ํ•˜๋Š” ๋‹ค์–‘์„ฑ ๊ด€๋ฆฌ(variety management) ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์•ˆํ•œ๋‹ค. ๋‹ค์–‘์„ฑ ๊ด€๋ฆฌ๋ฅผ ์„ฑ๊ณต์ ์œผ๋กœ ์ˆ˜ํ–‰ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๊ต์ฐจ์˜์—ญ ๊ด€์ ๊ณผ ๋ณ€์ข… ์ˆ˜์ค€ ๊ด€์ ์˜ ์ ‘๊ทผ์ด ํ•„์š”ํ•˜๋‹ค. ๊ต์ฐจ์˜์—ญ ๊ด€์ ์€ ์ œํ’ˆ๋‹ค์–‘์„ฑ์ด ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์‹œ์žฅ, ์„ค๊ณ„, ์ƒ์‚ฐ ์˜์—ญ์˜ ์š”์†Œ๋“ค์˜ ์—ฐ๊ฒฐ๊ด€๊ณ„๋ฅผ ์ •๋ฆฝํ•˜๋Š” ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ์ œ๊ณตํ•˜๋ฉฐ, ๋ณ€์ข… ์ˆ˜์ค€ ๊ด€์ ์€ ์ผ๋ฐ˜์ ์ธ ์š”์†Œ(elements) ์ˆ˜์ค€์—์„œ ํ•œ ๋‹จ๊ณ„ ๋‚ด๋ ค๊ฐ€ ๋‹ค์–‘์„ฑ ๊ด€๋ฆฌ์— ์‹ค์ œ ๋ฌธ์ œ๊ฐ€ ๋˜๋Š” ๊ฐ ์š”์†Œ๋“ค์˜ ๋ณ€์ข…๋“ค(variants)์„ ์ฒด๊ณ„์ ์œผ๋กœ ๊ด€๋ฆฌํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•œ๋‹ค. ์ด ๋‘ ๊ฐ€์ง€ ๊ด€์ ์—์„œ, ๋ณธ ๋…ผ๋ฌธ์€ ๋‹ค์–‘์„ฑ ๊ด€๋ฆฌ์—์„œ ์ค‘์š”ํ•˜๊ฒŒ ๋‹ค๋ฃจ์–ด์•ผ ํ•  ์„ธ ๊ฐ€์ง€ ๊ณผ์ œโ€“์˜ˆ์ƒ์น˜ ๋ชปํ•œ ๋ณ€์ข…์˜ ๋ฐœ์ƒ ๋ฐฉ์ง€, ์„ค๊ณ„ ๋ณต์žก์„ฑ ๊ฐ์ถ•, ์‹œ์žฅ ์ ์œ ์œจ๊ณผ ๋ณต์žก์„ฑ ๋น„์šฉ ์‚ฌ์ด์˜ ๊ท ํ˜• ์žก๊ธฐโ€“๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์•ˆํ•œ๋‹ค. ์ฒซ ๋ฒˆ์งธ ์ฃผ์ œ์—์„œ๋Š”, ์•„ํ‚คํ…์ฒ˜ ๊ธฐ๋ฐ˜์˜ ์ ‘๊ทผ๋ฒ•์„ ํ™œ์šฉํ•œ ๋ณ€์ข… ๊ด€๋ฆฌ ์•„ํ‚คํ…์ฒ˜(VA, variation architecture)๋ฅผ ๋„์ž…ํ•˜์—ฌ ์˜ˆ์ƒ์น˜ ๋ชปํ•œ ๋ณ€์ข…์˜ ๋ฐœ์ƒ์„ ๋ฐฉ์ง€ํ•˜๊ณ ์ž ํ•œ๋‹ค. ๊ฐœ๋ฐœ ์•„ํ‚คํ…์ฒ˜๋Š” ๋ชจ๋“ˆ๋Ÿฌ ์ œํ’ˆ๊ตฐ์„ ๊ฐœ๋ฐœํ•  ๋•Œ ์‚ฌ์šฉํ•˜๋Š” ์ผ์ข…์˜ ์ฐธ์กฐ ์•„ํ‚คํ…์ฒ˜๋กœ, ์‹œ์žฅ ์†์„ฑ, ์„ค๊ณ„ ๋ชจ๋“ˆ, ์ƒ์‚ฐ ์„ค๋น„์˜ ์—ฐ๊ฒฐ๊ด€๊ณ„๋ฅผ ์ •์˜ํ•˜๋Š” ๊ต์ฐจ์˜์—ญ ์—ฐ๊ฒฐ ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ์ œ๊ณตํ•œ๋‹ค. ๋ณ€์ข… ๊ด€๋ฆฌ ์•„ํ‚คํ…์ฒ˜์—์„œ๋Š” ์ผ๋ฐ˜ ์ˆ˜์ค€์˜ ๊ณ„ํš๊ณผ ๋ณ€์ข… ์ˆ˜์ค€์˜ ๊ณ„ํš์„ ํ•จ๊ป˜ ์„ธ์šธ ์ˆ˜ ์žˆ๋‹ค. ์ผ๋ฐ˜ ์ˆ˜์ค€์—์„œ๋Š” ์š”์†Œ ๊ฐ„ ์—ฐ๊ฒฐ๊ด€๊ณ„์˜ ์ข…๋ฅ˜๋ฅผ ์ •์˜ํ•˜์—ฌ ์ œํ’ˆ๊ตฐ์˜ ๋‹ค์–‘์„ฑ ์ˆ˜์ค€์„ ๊ฒฐ์ •ํ•˜๊ณ , ๋ณ€์ข… ์ˆ˜์ค€์—์„œ๋Š” ๋ณ€์ข…๋“ค ๊ฐ„์˜ ์กฐํ•ฉ ๊ทœ์น™์„ ์„ค์ •ํ•˜์—ฌ ๋ถˆํ•„์š”ํ•œ ๋ณ€์ข…์˜ ๋ฐœ์ƒ์„ ์ตœ์†Œํ™”ํ•œ๋‹ค. ๋˜ํ•œ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ œ์กฐ์—…์ฒด๊ฐ€ ๋ณ€์ข… ๊ด€๋ฆฌ ์•„ํ‚คํ…์ฒ˜๋ฅผ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ๋„๋ก ์•„ํ‚คํ…์ฒ˜ ๊ตฌ์ถ• ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ์ œ์•ˆํ•œ๋‹ค. ์‚ฌ๋ก€ ์—ฐ๊ตฌ์—์„œ๋Š” ์ž๋™์ฐจ ํ”„๋ก ํŠธ์„€์‹œ ์ œํ’ˆ๊ตฐ์„ ํ†ตํ•ด ์ œํ’ˆ ๋ฐ ๋ณ€์ข…์˜ ์ˆ˜๋ฅผ ์ƒ๋‹นํžˆ ์ค„์ผ ์ˆ˜ ์žˆ์Œ์„ ๋ณด์—ฌ ์คŒ์œผ๋กœ์จ ํ”„๋ ˆ์ž„์›Œํฌ์˜ ์‹ค์šฉ์„ฑ์„ ๊ฒ€์ฆํ•œ๋‹ค. ๋‹ค์Œ์œผ๋กœ, ์ธํ„ฐํŽ˜์ด์Šค ํ‘œ์ค€ํ™” ๊ฐœ๋…์„ ์ ์šฉํ•˜์—ฌ ๋ณ€์ข…๋“ค ๊ฐ„์˜ ๋ณต์žกํ•œ ๊ด€๊ณ„๋กœ๋ถ€ํ„ฐ ๋ฐœ์ƒํ•˜๋Š” ์„ค๊ณ„ ๋ณต์žก์„ฑ์„ ์ค„์ด๋Š” ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ์•ˆํ•˜๋Š” ์ธํ„ฐํŽ˜์ด์Šค ์„ค๊ณ„ ๋ฐฉ๋ฒ•๋ก ์€ ํ•˜๋‚˜๊ฐ€ ์•„๋‹Œ ๋‹ค์ˆ˜์˜ ํ‘œ์ค€ ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ์‚ฌ์šฉํ•˜๋„๋ก ํ—ˆ์šฉํ•œ๋‹ค. ๋ชจ๋“ˆ ๋ณ€์ข…๋“ค์„ ์—ฐ๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์ˆ˜์˜ ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ๋„์ž…ํ•˜๋ฉด, ์ธํ„ฐํŽ˜์ด์Šค์˜ ์ˆ˜์™€ ์ ์šฉ๋ฒ”์œ„์— ๋”ฐ๋ผ ๋ชจ๋“ˆ๋Ÿฌ ์ œํ’ˆ๊ตฐ์˜ ์ „์ฒด ๊ตฌ์กฐ๊ฐ€ ๋‹ฌ๋ผ์ง€๊ณ  ์„ค๊ณ„ ๋ณต์žก์„ฑ ๋˜ํ•œ ๋‹ค์–‘ํ•œ ์–‘์ƒ์œผ๋กœ ๋ฐœ์ƒํ•œ๋‹ค. ์ด๋ฅผ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•ด, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ธํ„ฐํŽ˜์ด์Šค์˜ ์„ ํƒ์— ์˜ํ–ฅ์„ ๋ฐ›๋Š” ๋‘ ๊ฐ€์ง€ ๋ณต์žก์„ฑ ์ง€ํ‘œ๋ฅผโ€“์ธํ„ฐํŽ˜์ด์Šค ํ‘œ์ค€ํ™” ๋ณต์žก์„ฑ๊ณผ ํ†ตํ•ฉ ๋ณต์žก์„ฑ์„โ€“์ •์˜ํ•œ๋‹ค. ์ธํ„ฐํŽ˜์ด์Šค ํ‘œ์ค€ํ™” ๋ณต์žก์„ฑ์€ ํ‘œ์ค€ ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ์„ค๊ณ„ํ•  ๋•Œ, ๋ชจ๋“ˆ ๋ณ€์ข… ์„ค๊ณ„์ž ๊ฐ„์˜ ์กฐ์œจ์— ํ•„์š”ํ•œ ๋งจ์•„์›Œ(person-hour)๋ฅผ ๊ณ„์‚ฐํ•˜๊ณ , ํ†ตํ•ฉ ๋ณต์žก์„ฑ์€ ๊ฐ๊ฐ์˜ ๋ชจ๋“ˆ ๋ณ€์ข…๊ณผ ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ํ†ตํ•ฉ๋œ ์ œํ’ˆ์œผ๋กœ ์„ค๊ณ„ํ•˜๋Š”๋ฐ ํ•„์š”๋กœ ํ•˜๋Š” ๋…ธ๋ ฅ์˜ ์–‘์œผ๋กœ, ์œ„์ƒ์  ๋ณต์žก์„ฑ(topological complexity) ์ง€ํ‘œ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์ธก์ •ํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‘ ๊ฐ€์ง€ ๋ณต์žก์„ฑ์„ ์ตœ์†Œํ™”ํ•˜๋Š” ์ธํ„ฐํŽ˜์ด์Šค ์„ค๊ณ„ ๋Œ€์•ˆ์„ ์ฐพ๊ธฐ ์œ„ํ•œ ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ์ œ๊ณตํ•œ๋‹ค. ์‚ฌ๋ก€ ์—ฐ๊ตฌ์—์„œ ์ด์˜ ์ ์šฉ์„ฑ์„ ๋ณด์—ฌ์ฃผ๊ธฐ ์œ„ํ•ด ํ”„๋ก ํŠธ์„€์‹œ ์ œํ’ˆ๊ตฐ์— ๋งž๋Š” ์ตœ์ ์˜ ์ธํ„ฐํŽ˜์ด์Šค ์ˆ˜์™€ ์ œํ’ˆ๊ตฐ ๊ตฌ์กฐ๋ฅผ ๋„์ถœํ•œ๋‹ค. ๋งˆ์ง€๋ง‰ ์ฃผ์ œ์—์„œ๋Š”, ์‹œ์žฅ ์ ์œ ์œจ๊ณผ ๋ณต์žก์„ฑ ๋น„์šฉ์˜ ๊ท ํ˜•์„ ๋งž์ถ”๋Š” ์ตœ์  ์ œํ’ˆ ์ข…์ˆ˜๋ฅผ ์ฐพ๊ธฐ ์œ„ํ•œ ์ตœ์ ํ™” ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•œ๋‹ค. ์ตœ์ ํ™” ๋ชจ๋ธ์€ ์ œํ’ˆ์„ ๊ตฌ์„ฑํ•˜๋Š” ๋ชจ๋“ˆ ๋ณ€์ข…์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๋ชจ๋ธ๋ง๋˜๊ณ , ์ œํ’ˆ ๋ฐ ๋ชจ๋“ˆ ์ข…์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์‹œ์žฅ ์ ์œ ์œจ์˜ ์ฆ๊ฐ€๋ถ„์ด ์ค„์–ด๋“ค๊ณ , ๋ฐ˜๋Œ€๋กœ ๋ณต์žก์„ฑ ๋น„์šฉ์˜ ์ฆ๊ฐ€๋ถ„์€ ๋Š˜์–ด๋‚˜๋Š” ํŠน์„ฑ์„ ๋ฐ˜์˜ํ•œ๋‹ค. ์‹œ์žฅ ์ ์œ ์œจ์„ ๊ตฌํ•˜๊ธฐ ์œ„ํ•ด ๋„ค์Šคํ‹ฐ๋“œ ๋กœ์ง“ ๋ชจ๋ธ(nested logit model)์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋Š” ์ˆ˜์š” ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•œ๋‹ค. ๋„ค์Šคํ‹ฐ๋“œ ๋กœ์ง“ ๋ชจ๋ธ์—์„œ๋Š” ๋™์ผ ์ œํ’ˆ๊ตฐ ๋‚ด ์ œํ’ˆ๋“ค์˜ ์œ ์‚ฌ์„ฑ์„ ๊ณ ๋ คํ•˜์—ฌ ์‹œ์žฅ ์ ์œ ์œจ์˜ ์ฆ๊ฐ€๋ถ„์ด ์ค„์–ด๋“œ๋Š” ํŠน์„ฑ์„ ๋ฐ˜์˜ํ•œ๋‹ค. ๋‹ค์Œ์œผ๋กœ, ์ œ๋กœ๋ฒ ์ด์Šค ์›๊ฐ€๊ณ„์‚ฐ ์ ‘๊ทผ๋ฒ•(zero-based costing approach)์„ ํ™œ์šฉํ•œ ๋ณต์žก์„ฑ ๋น„์šฉ ๋ชจ๋ธ์„ ๋„์ž…ํ•œ๋‹ค. ์ด ์ ‘๊ทผ๋ฒ•์—์„œ๋Š” ์ œํ’ˆ ํ˜น์€ ๋ชจ๋“ˆ์˜ ์ข…์ˆ˜๊ฐ€ ํ•œ ๋‹จ์œ„์”ฉ ๋Š˜์–ด๋‚  ๋•Œ ๋ฐœ์ƒํ•˜๋Š” ๋น„์šฉ์„ ๋‹จ๊ณ„์ ์œผ๋กœ ๊ณ„์‚ฐํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•œ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ์ˆ˜์š” ๋ชจ๋ธ๊ณผ ๋ณต์žก์„ฑ ๋น„์šฉ ๋ชจ๋ธ์„ ํ•ฉ์นœ ์ตœ์ ํ™” ๋ชจ๋ธ(optimization model)์„ ๋ชจ๋ธ๋งํ•˜์—ฌ ์ตœ์  ์ œํ’ˆ ์ข…์ˆ˜์™€ ์ œํ’ˆ์˜ ๋ชจ๋“ˆ ๊ตฌ์„ฑ์„ ๋„์ถœํ•˜๋Š” ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•œ๋‹ค. ์‚ฌ๋ก€ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ฏผ๊ฐ๋„ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์—ฌ ๊ฐ ์ƒํ™ฉ๋ณ„ ์ตœ์ ํ•ด๊ฐ€ ์–ด๋–ป๊ฒŒ ๋‹ฌ๋ผ์ง€๋Š” ์ง€ ๋ณด์—ฌ์ฃผ์–ด ์—ฐ๊ตฌ์—์„œ ์ œ์•ˆํ•˜๋Š” ๋ชจ๋ธ๋“ค์˜ ํšจ๊ณผ๋ฅผ ๊ฒ€์ฆํ•œ๋‹ค.Global manufacturing companies have been achieving product variety by implementing a modular design strategy in which product variants are created by combining, adding, or substituting modules. Providing a high variety of products, however, causes negative effects not only on design but also on market and production. Variety management that defines the right range of variants is one of the most critical issues for most of the manufacturing companies. This thesis aims to propose methodologies that enable companies to systematically reduce negative effects of variety. In order to achieve successful variety management, this study approaches the issue from two viewpoints: cross-domain and variant-level viewpoints. A cross-domain viewpoint supports establishing relationships between elements in market, design, and production domain that are affected by product variety, and a variant-level viewpoint enables to explicitly manage variants of elements that are the main source of negative effects. In these viewpoints, this thesis focuses on dealing with three important challenges in variety management: to prevent unexpected variants, to reduce design complexity, and to balance market share and complexity cost. In the first theme, an architecture-based approach named variation architecture is introduced to prevent unexpected variants. Variation architecture (VA) is defined as a reference architecture for a modular product family providing the scheme by which variants in market, design, and production domain are arranged by cross-domain mapping mechanisms. The VA consists of generic-level and variant-level plans. At the generic-level, mapping types between domain elements are determined, and at the variant-level, combination rules between variants are set to reduce unexpected variants. Then, a framework is proposed to increase the practicality of the VA so that its compositions are well defined. In the case study, the framework is applied to an automobile front chassis family. The result shows that the number of module variants is significantly reduced compared to the current number of variants in operation. Secondly, the concept of interface standardization is introduced to manage design complexity caused by complicated combinations between module variants. This theme proposes an interface design methodology that addresses multiple standard interfaces in a modular product family. A product family structure is changed by implementing multiple standard interfaces, generating design complexity. This study defines two complexities resulting from the introduction of multiple standard interfaces: standardization effort and integration effort. Standardization effort is estimated as a required person-hours for coordinating module variants to design a standard interface, and integration effort is measured as an effort to integrate all design elements based on the concept of topological complexity. A framework is proposed to identify an optimal product family structure that minimizes the two complexities. In the case study, the proposed framework identifies an optimal structure and the number of standard interfaces for the front chassis family. Then, the study conducts a sensitivity analysis to demonstrate the methodologys applicability in interface management. In the last theme, an optimization model is developed to identify an optimal product variety to balance market share and complexity cost. The model focuses on module variants, not just product variants, because a modular product family creates product variants by combining module variants. The model reflects the trends of concave increase in market share and convex increase in complexity cost as the number of variety increases. A demand model is developed by the nested logit model that shows the concavity of market share based on the similarity of product variants in the same family, and a complexity cost model is constructed by the zero-based costing approach that an incremental cost is estimated as a variant is added. Combining the models, an optimization model is formulated to find an optimal variety and configurations of product variants. The case study demonstrates the models effectiveness by analyzing optimal solutions in various situations.Abstract i Contents iv List of Tables viii List of Figures ix Chapter 1 Introduction 1 1.1 Variety Management 1 1.2 Variety Management Challenges 5 1.3 Research Proposal: How to Deal with the Challenges? 7 1.4 Structure of Thesis 10 Chapter 2 Literature Review 11 2.1 Variety Management Methodologies 11 2.1.1 Modular product family design 11 2.1.2 Product family architecture 13 2.1.3 Classification of the contributions 15 2.2 Modular Design and Complexity 17 2.2.1 Modular design 17 2.2.2 Interface design 19 2.2.3 Design complexity 20 2.3 Product Family Design and Variety 22 2.3.1 Product family design 22 2.3.2 Variety optimization 25 Chapter 3 Variation Architecture for Reducing the Generation of Unexpected Variants 29 3.1 Introduction 29 3.1.1 Generation of unexpected variants 29 3.1.2 Needs for a systematic approach 31 3.2 Variation Architecture (VA) 33 3.2.1 Generic-level planning 34 3.2.2 Variant-level planning 41 3.3 Framework for Planning Product Variety 46 3.4 Application 47 3.4.1 Case description 47 3.4.2 Construction of variation architecture (VA) 49 3.4.3 Result and discussion 53 3.5 Summary 57 Chapter 4 Variant-level Interface Design for Reducing Design Complexity 59 4.1 Introduction 59 4.2 Variant-level Interface Design 61 4.3 Interface Design Complexity 64 4.3.1 Standardization effort 66 4.3.2 Integration effort 71 4.4 Framework for Variant-level Interface Design 76 4.5 Case Study 79 4.5.1 Application of the framework 79 4.5.2 Analysis and discussion 84 4.6 Summary 88 Chapter 5 Optimizing Product Variety for Balancing Market Share and Complexity Cost 91 5.1 Introduction 91 5.2 Evidence of the impact of variety on market share 94 5.3 Planning of Product Configurations 96 5.3.1 Product family architecture 96 5.3.2 Product configuration 98 5.4 Variety Optimization Model 100 5.4.1 Demand model 100 5.4.2 Complexity cost model 104 5.4.3 Optimization model 108 5.5 Case Study 110 5.5.1 Case description 110 5.5.2 Data source 112 5.5.3 Optimization setting 113 5.5.4 Result 115 5.5.5 Discussion 118 5.6 Summary 122 Chapter 6 Conclusion 125 6.1 Summary of Contributions 125 6.2 Limitations and Future Research Directions 127 Bibliography 129 Appendix A Variant-level Plan of a Front Chassis Family 147 Appendix B Adjacency and Combination Matrices of a Front Chassis Family 151 ๊ตญ๋ฌธ์ดˆ๋ก 155Docto

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    This poster is the culmination of final year Bachelor of Engineering Technology (B.Eng.Tech) student projects in 2017 and 2018. The B.Eng.Tech is a level seven qualification that aligns with the Sydney accord for a three-year engineering degree and hence is internationally benchmarked. The enabling mechanism of these projects is the industry connectivity that creates real-world projects and highlights the benefits of the investigation of process at the technologist level. The methodologies we use are basic and transparent, with enough depth of technical knowledge to ensure the industry partners gain from the collaboration process. The process we use minimizes the disconnect between the student and the industry supervisor while maintaining the academic freedom of the student and the commercial sensitivities of the supervisor. The general motivation for this approach is the reduction of the entry cost of the industry to enable consideration of new technologies and thereby reducing risk to core business and shareholder profits. The poster presents several images and interpretive dialogue to explain the positive and negative aspects of the student process

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    NEGOSEIO: framework for the sustainability of model-oriented enterprise interoperability

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    Dissertation to obtain the degree of Doctor of Philosophy in Electrical and Computer Engineering(Industrial Information Systems)This dissertation tackles the problematic of Enterprise Interoperability in the current globally connected world. The evolution of the Information and Communication Technologies has endorsed the establishment of fast, secure and robust data exchanges, promoting the development of networked solutions. This allowed the specialisation of enterprises (particularly SMEs) and favoured the development of complex and heterogeneous provider systems. Enterprises are abandoning their self-centrism and working together on the development of more complete solutions. Entire business solutions are built integrating several enterprises (e.g., in supply chains, enterprise nesting) towards a common objective. Additionally, technologies, platforms, trends, standards and regulations keep evolving and demanding enterprises compliance. This evolution needs to be continuous, and is naturally followed by a constant update of each networked enterpriseโ€™s interfaces, assets, methods and processes. This unstable environment of perpetual change is causing major concerns in both SMEs and customers as the current interoperability grounds are frail, easily leading to periods of downtime, where business is not possible. The pressure to restore interoperability rapidly often leads to patching and to the adoption of immature solutions, contributing to deteriorate even more the interoperable environment. This dissertation proposes the adoption of NEGOSEIO, a framework that tackles interoperability issues by developing strong model-based knowledge assets and promoting continuous improvement and adaptation for increasing the sustainability of interoperability on enterprise systems. It presents the research motivations and the developed frameworkโ€™s main blocks, which include model-based knowledge management, collaboration service-oriented architectures implemented over a cloud-based solution, and focusing particularly on its negotiation core mechanism to handle inconsistencies and solutions for the detected interoperability problems. It concludes by validating the research and the proposed framework, presenting its application in a real business case of aerospace mission design on the European Space Agency (ESA).FP7 ENSEMBLE, UNITE, MSEE and IMAGINE project
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