A modularized contact-rule reasoning approach to the assembly sequence generation for product design

Lin, Man; Lin, Chen-Cheng; Tai, Yuan-Yeuan; Chen, Ming-Shi; Tseng, Ching-Chi

doi:10.1177/1063293x12452419

Cited by 3 publications

(2 citation statements)

References 26 publications

(30 reference statements)

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“…8. It allows the collection of information that has been already in our project in ACSP [8]. We import directly from the ACSP to ORASSE the list of the components of our concept and the functions from the functional analysis.…”

Section: Product Architecture and Assembly Sequencementioning

confidence: 99%

Designing a Smart Safety Helmet

Wang¹,

Xiang²,

Li³

et al. 2018

IJMMM

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This paper mainly discusses a smart safety helmet project according to certain designing and making methodology to get an entire product. The whole process includes project management, mechanical design, 3D modeling, Arduino software programing etc. And the final product shows that this kind of methodology can achieve the goal of less number of product design modification, the short product development cycle, the low product cost and the high product quality.Index Terms-Arduino program, manufacturing assembly, productive design, project development.

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Section: Product Architecture and Assembly Sequencementioning

confidence: 99%

Designing a Smart Safety Helmet

Wang¹,

Xiang²,

Li³

et al. 2018

IJMMM

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show abstract

“…The integrated mixed-model ASP and ALB problem is more challenging compared with the mixed-model ALB and integrated simple ASP and ALB. Separate ASP and ALB problems are individually categorized as NP-hard combinatorial problems, where the solution space is excessively increased when the number of tasks increased (Lin et al ., 2012). When the optimization of both activities is performed together, the problem difficulties will be increased since all the related factors, such as geometric information, assembly tool, and time, are concurrently considered in this stage (Tseng et al ., 2008).…”

Section: Introductionmentioning

confidence: 99%

Integrated optimization of mixed-model assembly sequence planning and line balancing using Multi-objective Discrete Particle Swarm Optimization

Rashid

Tiwari

Hutabarat

2019

AIEDAM

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Recently, interest in integrated Assembly Sequence Planning (ASP) and Assembly Line Balancing (ALB) began to pick up because of its numerous benefits, such as the larger search space that leads to better solution quality, reduced error rate in planning and expedited product time-to-market. However, existing research is limited to simple assembly problem that only runs one homogenous product. This paper therefore model and optimise the integrated mixed-model ASP and ALB using Multi-objective Discrete Particle Swarm Optimisation (MODPSO) concurrently. This is a new variant of the integrated assembly problem. The integrated mixed-model ASP and ALB is modelled using task based joint precedence graph. In order to test the performance of MODPSO to optimise integrated mixed-model ASP and ALB, an experiment using a set of 51 test problems with different difficulty levels was conducted. Besides that, MODPSO coefficient tuning was also conducted to identify the best setting so as to optimise the problem. The results from this experiment indicated that the MODPSO algorithm presents significant improvement in term of solution quality towards Pareto optimal and demonstrates ability to explore the extreme solutions in the mixed-model assembly optimisation search space. The originality of this research is on the new variant of integrated ASP and ALB problem. This paper is the first published research to model and optimise the integrated ASP and ALB research for mixed-model assembly problem.

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A modified cut-set method for mechanical subassembly identification

Gulivindala¹,

Bahubalendruni²,

Inkulu³

et al. 2021

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Purpose The purpose of this paper is to perform a comparative assessment on working of the existed subassembly identification (SI) methods, which are widely practiced during the product development stage and to propose an improved method for solving the SI problem in assembly sequence planning (ASP). Design/methodology/approach The cut-set method is found as a suitable method among various knowledge-based methods such as the theory of loops, theory of connectors and theory of clusters for the workability enhancement to meet the current requirements. Necessary product information is represented in the matrix format by replacing the traditional AND/OR graphs and the advanced predicates are included in the evaluation criteria. Findings The prominent methods in SI are followed a few of the predicates to avoid complexity in solution generation. The predicate consideration is found as the most influencing factor in eliminating the infeasible part combinations at SI. However, the quality of identified subassemblies without advanced predicates is not influencing the solution generation phase but practical applicability is affecting adversely. Originality/value The capability of performing SI by the cut-set method is improved to deal with the complex assembly configurations. The improved method is tested by applying on different assembly configurations and the effectiveness is compared with other existent methods of ASP along with the conventional method.

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A modularized contact-rule reasoning approach to the assembly sequence generation for product design

Cited by 3 publications

References 26 publications

Designing a Smart Safety Helmet

Designing a Smart Safety Helmet

Integrated optimization of mixed-model assembly sequence planning and line balancing using Multi-objective Discrete Particle Swarm Optimization

A modified cut-set method for mechanical subassembly identification

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