Exploring Simulation as a Tool for Evaluation of Automation Assisted Assembly of Customized Products

2021 ◽  
pp. 1006-1013
Author(s):  
Sagar Rao ◽  
Kerstin Johansen ◽  
Milad Ashourpour
Keyword(s):  
Author(s):  
Jida Huang ◽  
Tsz-Ho Kwok ◽  
Chi Zhou

With the advances in hardware and process development, additive manufacturing is realizing a new paradigm: mass customization. There are massive human-related data in mass customization, but there are also many similarities in mass-customized products. Therefore, reusing information can facilitate mass customization and create unprecedented opportunities in advancing the theory, method, and practice of design for mass-customized products. To enable information reuse, different models have to be aligned so that their similarity can be identified. This alignment is commonly known as the global registration that finds an optimal rigid transformation to align two three-dimensional shapes (scene and model) without any assumptions on their initial positions. The Super 4-Points Congruent Sets (S4PCS) is a popular algorithm used for this shape registration. While S4PCS performs the registration using a set of 4 coplanar points, we find that incorporating the volumetric information of the models can improve the robustness and the efficiency of the algorithm, which are particularly important for mass customization. In this paper, we propose a novel algorithm, Volumetric 4PCS (V4PCS), to extend the 4 coplanar points to non-coplanar ones for global registration, and theoretically demonstrate the computational complexity is significantly reduced. Several typical human-centered applications such as tooth aligner and hearing aid are investigated and compared with S4PCS. The experimental results show that the proposed V4PCS can achieve a maximum of 20 times speedup and can successfully compute the valid transformation with very limited number of sample points.


2012 ◽  
Vol 10 (1) ◽  
Author(s):  
Oksana Loginova

Abstract The existing theoretical literature on mass customization maintains that customization reduces product differentiation and intensifies price competition. In contrast, operations management studies argue that customization serves primarily to differentiate a company from its competitors. Interactive involvement of the customer in product design creates an affective relationship with the firm, relaxing price competition. This paper provides a model that incorporates consumer involvement to explain the phenomena described in the operations management literature.Two firms on the Hotelling line compete for a continuum of consumers with heterogeneous brand preferences. An exogenously given fraction of consumers is potentially interested in customization. Consumer benefits from customization are the rewards from a special shopping experience and the value of product customization (a better fitting product); these benefits are higher for consumers located closer to the customizing brand. When a consumer purchases a customized product, he/she incurs waiting costs. Each firm simultaneously decides whether to offer standard products, customized products, or both, and then engage in price competition. I show that customization increases product differentiation, leading to less intense price competition. Depending on the parameter values, in equilibrium either both firms offer customized products, one firm offers customized products and the other standard and customized products, or one firm offers customized products and the other standard products. I perform comparative statics analysis with respect to the fraction of consumers interested in customization, the waiting costs, and the fixed cost of customization.


2011 ◽  
Vol 20 (4) ◽  
pp. 316-326 ◽  
Author(s):  
Zhongjun Tang ◽  
Jianghong Luo ◽  
Juan Xiao

Author(s):  
Lutz Stobbe ◽  
Marina Proske ◽  
Severin Beucker ◽  
Ralph Hintemann ◽  
Klaus-Dieter Lang

2020 ◽  
Vol 26 (4) ◽  
pp. 669-687 ◽  
Author(s):  
Sathies T. ◽  
Senthil P. ◽  
Anoop M.S.

Purpose Fabrication of customized products in low volume through conventional manufacturing incurs a high cost, longer processing time and huge material waste. Hence, the concept of additive manufacturing (AM) comes into existence and fused deposition modelling (FDM), is at the forefront of researches related to polymer-based additive manufacturing. The purpose of this paper is to summarize the research works carried on the applications of FDM. Design/methodology/approach In the present paper, an extensive review has been performed related to major application areas (such as a sensor, shielding, scaffolding, drug delivery devices, microfluidic devices, rapid tooling, four-dimensional printing, automotive and aerospace, prosthetics and orthosis, fashion and architecture) where FDM has been tested. Finally, a roadmap for future research work in the FDM application has been discussed. As an example for future research scope, a case study on the usage of FDM printed ABS-carbon black composite for solvent sensing is demonstrated. Findings The printability of composite filament through FDM enhanced its application range. Sensors developed using FDM incurs a low cost and produces a result comparable to those conventional techniques. EMI shielding manufactured by FDM is light and non-oxidative. Biodegradable and biocompatible scaffolds of complex shapes are possible to manufacture by FDM. Further, FDM enables the fabrication of on-demand and customized prosthetics and orthosis. Tooling time and cost involved in the manufacturing of low volume customized products are reduced by FDM based rapid tooling technique. Results of the solvent sensing case study indicate that three-dimensional printed conductive polymer composites can sense different solvents. The sensors with a lower thickness (0.6 mm) exhibit better sensitivity. Originality/value This paper outlines the capabilities of FDM and provides information to the user about the different applications possible with FDM.


2021 ◽  
pp. 762-769
Author(s):  
Lasse Christiansen ◽  
Thorbjørn Borregaard ◽  
Mikkel Graugaard Antonsen ◽  
Esben Skov Laursen ◽  
Thomas D. Brunoe

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