Extended Assemblability Evaluation Method (AEM). Extended Quantitative Assembly Producibility Evaluation for Assembled Parts and Products.

Ohashi, Takahiro; Iwata, Makoto; Arimoto, Shoji; Miyakawa, Seii

doi:10.1299/jsmec.45.567

Cited by 25 publications

(9 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the DFA, assembly time estimates for consumer products have been predicted within a 16% range using information on the products' parts connectivity (Mathieson, Wallace, and Summers 2013). AEM II reported that evaluation errors were within ±15% for parts, an accuracy sufficient for practical purposes (Ohashi et al 2002). Therefore, the proposed method can be used to estimate assembly time at the design stage.…”

Section: Accuracy Of the Proposed Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Time estimation method for manual assembly using MODAPTS technique in the product design stage

Cho

Lee

Park

2014

International Journal of Production Research

View full text Add to dashboard Cite

This paper aims to propose an accurate and quick assembly time estimation method using the modular arrangement of predetermined time standards in the product design stage. It describes a classification of 2382 assembly operations that are incurred in manually assembling consumer electronics such as air conditioners, washing machines and refrigerators, and a method of choosing representative motions comprising work elements by examining the frequency distribution of the assembly operation's motions. It then presents criteria for assigning time values associated with the movement of the representative motions using the design factors employed in design for assembly and the layout factors of an assembly line. A case study then presents the practicality of the method, the statistical results of which indicate that the proposed method would be accurate enough for practical purposes.

show abstract

Section: Accuracy Of the Proposed Methodsmentioning

confidence: 99%

“…Though the AEM was widely used, its cost estimation capability was inadequate because part attachment time could not be estimated with sufficient accuracy. To enable proper support time and cost estimation, its extended version included part-based time estimation (Ohashi et al 2002).…”

Section: Product Dfamentioning

confidence: 99%

Time estimation method for manual assembly using MODAPTS technique in the product design stage

Cho

Lee

Park

2014

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…This is then used to assess time and cost. Ohashi et al ( 2002 ) further expanded on this method by introducing part-based cost estimation. Similar to this is the Lucas method, developed by Sealy and Corns ( 1992 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Redesign methodology for mechanical assembly

2017

View full text Add to dashboard Cite

Design for assembly is the concept of carrying out critical thought early in the design stage to create assembly easement at the production stage. In the aerospace industry, products have very long lives, frequently being optimised rather than introducing new products. This has meant older products, which are stable income generators, have not benefited from the latest design for assembly methods and manufacturing technology suffers from obsolescence. It has been established that a large percentage of overall product cost is determined at the design stage; thus, existing products suffer from preloaded costs. This paper takes existing design for assembly methodologies and analyses them with respect to the unique challenges involved in legacy product redesign. Several novel factors that contribute to redesign analysis are identified such obsolescence impact and a holistic operation difficulty assessment. A tool is developed to identify potential redesign for assembly projects. The tool is demonstrated through the application of real data and comparing against business decisions. The tool was found to provide a strong indication of where profitable projects may be launched.

show abstract

“…Other main approaches include assembly process time consideration by assigning operation with predefined time 17 and DFA rules based on the motion of individual parts. 18 However, these existing methods exhibit several limitations that hinder their effective use in design optimization. First, they tend to focus primarily on simple product configurations comprising only a few components.…”

Section: Introductionmentioning

confidence: 99%

Framework for metamodel-based design optimization considering product performance and assembly process complexity

Eremeev,

Cock,

Devriendt

et al. 2024

SIMULATION

View full text Add to dashboard Cite

This paper proposes a method for simultaneous evaluation of the assembly process complexity together with the performance of the future product. It allows for product design optimization, considering different aspects of the future design at the early stage of the development process. The proposed method, embodied in a fully automated framework, substitutes the traditional sequential development process with a more efficient and rapid combined procedure, which addresses multiple design aspects simultaneously. Design for assembly (DFA) rules, used as quantitative metrics of the ease-of-assembly of the whole product and individual assembly operations, are automatically evaluated together with performance metrics, estimated based on finite element (FE) simulations. The direct solution to this optimization problem might be inefficient or impossible since it requires the recurrent evaluation of computationally expensive discrete and continuous functions with unknown behavior that represent the optimization objectives and constraints. For that reason, the proposed framework employs regression models based on the Gaussian process and artificial neural networks, thus achieving the optimal design of a product as a result of metamodel-based design optimization (MBDO). The suggested approach is demonstrated in the optimization of a gearbox assembly, considering its mechanical performance and assembly process. Comparing the results of the metamodel-based and direct design optimization shows that MBDO allows finding a better solution using a three times smaller computational budget. In addition, analysis of the results obtained using stationary sampling data sets of different sizes highlighted the limitations of the employed sampling procedure.

show abstract

Extended Assemblability Evaluation Method (AEM). Extended Quantitative Assembly Producibility Evaluation for Assembled Parts and Products.

Cited by 25 publications

References 1 publication

Time estimation method for manual assembly using MODAPTS technique in the product design stage

Time estimation method for manual assembly using MODAPTS technique in the product design stage

Redesign methodology for mechanical assembly

Framework for metamodel-based design optimization considering product performance and assembly process complexity

Contact Info

Product

Resources

About