scholarly journals A MULTI-DIMENSIONAL CONFIGURATION ALGORITHM FOR MODULAR PRODUCT ARCHITECTURES

2020 ◽  
Vol 1 ◽  
pp. 2405-2414
Author(s):  
F. M. Seiler ◽  
D. Krause

AbstractWith an increasing demand for product individualisation leading to increased product architecture complexity and -costs, modular kits are one common measure to cope with this issue. The management of such a modular kit as well as the methodical determination of a specific product variant is key to the manufacturer's success. As multiple influence factors need to be taken into account when configuring product variants, we propose a multi-dimensional geometric optimisation algorithm, allowing for prioritising varying customer demands and thereby determining the ideally balanced product variant.

2014 ◽  
Vol 1018 ◽  
pp. 555-562 ◽  
Author(s):  
Günther Schuh ◽  
Michael Schiffer ◽  
Casimir Ortlieb

Today many producing companies face two major challenges: they have to maintain a high degree of product differentiation whilst reducing costs through economies of scale. One way to face these challenges is the development of modular product architectures that allow to produce a number of product variants and product generations using one single architecture. The complexity for the product development has thereby increased since expected future changes in products have to be anticipated in the designing process to minimize modification costs. The more robust a product architecture is regarding future changes, the longer an architecture can be used which directly translates into economic advantages for the company. Most companies though struggle to apply the required processes and tools to develop scenario-robust product architectures for their portfolio. This paper aims at the presentation of a methodology to develop alternative, scenario-robust product architecture designs.


Author(s):  
Florian Michael Seiler ◽  
Erik Greve ◽  
Dieter Krause

AbstractAs todays’ global market trends lead to an increasing demand for individualised products, manufacturers need to cope with a high degree of internal and external variety, which has a severe impact on complexity and therefore -costs. When implementing modular product architectures, it becomes obvious, that the actual Engineer-to-Order (ETO) processes cannot cope with the requirements of such a product architecture. It is crucial to develop a complying Configure-to-Order (CTO) process in order to make full use of its suppled benefits. As there is no existing approach about how to methodically change an existing ETO process into an adequate CTO process, we intend to fill this gap with this paper by showing an approach for the development of a CTO process for modular product architectures. Furthermore, we show the application and evaluation of this approach in a case study with a special equipment manufacturer (SME), that is already implementing modular architectures.


Author(s):  
Erik Greve ◽  
Christoph Rennpferdt ◽  
Tobias Hartwich ◽  
Dieter Krause

Abstract Modular product architecture design allows product variants to be derived with little effort and cost. An essential part of designing modular product architectures is fulfilling customer-relevant product features, which represent the differentiating aspects for the customer and, thus, stand for the economic success of a product variant. However, product features are not only subject to high fluctuations due to changing environmental influences, but are also of varying relevance to customers over time. Not considering these aspects in the development phase can lead to costly changes in the product architecture later on. To counteract this, these two perspectives are merged and a methodical approach is introduced that identifies new product features and analyses their future development in the context of customer benefit. For this purpose, the current and future relevance to customers as well as uncertainties are calculated using Adaptive Conjoint Analysis and a Monte Carlo simulation. The results are consolidated in a visualization and the product features are classified according to their future implementation in robust product architecture. The procedure is explained using the example of a product family of vacuum cleaning robots.


2021 ◽  
Vol 1 ◽  
pp. 2057-2066
Author(s):  
Nicola Viktoria Ganter ◽  
Behrend Bode ◽  
Paul Christoph Gembarski ◽  
Roland Lachmayer

AbstractOne of the arguments against an increased use of repair is that, due to the constantly growing progress, an often already outdated component would be restored. However, refurbishment also allows a component to be modified in order to upgrade it to the state of the art or to adapt it to changed requirements. Many existing approaches regarding Design for Upgradeability are based on a modular product architecture. In these approaches, however, only the upgradeability of a product is considered through the exchange of components. Nevertheless, the exchange and improvement of individual component regions within a refurbishment has already been successfully carried out using additive processes. In this paper, a general method is presented to support the reengineering process, which is necessary to refurbish and upgrade a damaged component. In order to identify which areas can be replaced in the closed system of a component, the systematics of the modular product architecture are used. This allows dependencies between functions and component regions to be identified. Thus, it possible to determine which functions can be integrated into the intended component.


2014 ◽  
Vol 32 (1) ◽  
pp. 98-110 ◽  
Author(s):  
Tucker J. Marion ◽  
Marc H. Meyer ◽  
Gloria Barczak

2018 ◽  
Vol 59 (7) ◽  
pp. 1186-1191
Author(s):  
Qingyi Liu ◽  
Ailong Jiang ◽  
Junbo Wang ◽  
Dequan Shi

2014 ◽  
Vol 707 ◽  
pp. 283-288
Author(s):  
Xiang Dong Wen ◽  
Zheng Zhou ◽  
Wen Yang Pan ◽  
Mei Shao

According to GB/T3286.1-2012(The determination of calcium oxide and magnesium oxide content in limestone and dolomite), the mathematical model of magnesium oxide content determination in limestone by atomic absorption spectrometry was established. The various uncertainty factors of different elements for a sample were discussed and compared in the testing process. The confidence interval for the measurement result was (0.74±0.03)%,k=2 in uncertainty evaluation .The results showed that the variability of working curve and accuracy of standard solution volume for working curve were main influence factors of uncertainty. It could effectively reduce the uncertainty from the perspective of the main factors,and improve the quality of analysis.


2018 ◽  
Vol 24 (3) ◽  
pp. 231-238 ◽  
Author(s):  
Branislava Teofilovic ◽  
Nevena Grujic-Letic ◽  
Strahinja Kovacevic ◽  
Sanja Podunavac-Kuzmanovic ◽  
Slobodan Gadzuric

Given the increasing demand for potassium in Brazil, the mining and use of carnallite is becoming increasingly important, because the current source of potassium, sylvinite, is being depleted and there is a risk of shortages. Based on theoretical and practical data available in existing literature, this work describes the development, simulation, and economic feasibility of a process for dissolution and crystallization of potassium chloride from carnallite ore. Positive results were obtained following the application of the Hoffman diagram and determination of the corresponding equation. The proposed process provided over 85% potassium chloride crystallization, demonstrating its superior performance, compared to existing procedures.


2015 ◽  
Vol 9 (1) ◽  
pp. 92-98 ◽  
Author(s):  
Quanhua Hou ◽  
Wenhui Wang

To further study the effects of public service facilities on the land use intensity at regulatory planning level and enhance the scientific determination of land use intensity, this paper expounds the influence mechanism and factors of the public service facilities on land use intensity in regulatory planning, and conducts quantitative evaluation of the influence factors through theoretical analysis, mathematical analysis and analytic hierarchy process etc. The results show that the influence mechanism of public service facilities on the land use intensity goes throughout all three levels of regulatory planning. Different characteristics of public service facilities on each level determine their different influence factors and take effect on the land use intensity index of the corresponding level, thus affecting the determination of the block floor area ratio. Based on this, this paper proposes a method to determine the land use intensity in regulatory planning under the restriction of public service facilities and completes the test in practice, which may provide a reference for determining the land use intensity in regulatory planning.


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