A model for measuring products assembly complexity

Samy, S. N.; ElMaraghy, Hoda A.

doi:10.1080/0951192x.2010.511652

Cited by 119 publications

(52 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The measure in-cludes the dimensions of human performance, attention allocation and learning effects based on the product and its reference levels. [36] introduced a methodology based on previous complexity model introduced by [17] and DFA to assess complexity of individual assembly tasks of a product. The proposed indices are combined to achieve an overall measure for total product assembly complexity.…”

Section: Common Practices On Measuring Product Assembly Complexitymentioning

confidence: 99%

An experimental investigation on the relationship between perceived assembly complexity and product design complexity

Alkan

2019

Int J Interact Des Manuf

View full text Add to dashboard Cite

Complexity is one of the main drivers inducing increased assembly cost, operational issues and increased lead time for product realisation, and continues to pose challenges to manual assembly operations. In the literature, assembly complexity is widely viewed from both objective and subjective perspectives. The objective perspective relates complexity directly to the characteristics of a process without accounting the characteristics of performers, whereas, subjective perspective considers complexity as a conjunction between process and performer characteristics. This article aims to investigate the link between perceived assembly complexity and product complexity by providing a prediction model relying on a series of natural experiments. In these experiments, the participants were asked to assemble a series of ball-and-stick models with varying degree of product complexity based on a clear 2D assembly work instruction. Complexity of each model was objectively estimated by considering structural properties associated with handling and insertion of assembly parts and their connectivity pattern. Moreover, perceived complexity is approached based on the subjective interpretations of the participants on the difficulty associated with the assembly operation of each model. The results showed that product complexity and assembly time is super-linearly correlated; an increase in the product complexity is accompanied with an increase in assembly time, rework rate and human errors. Moreover, a sigmoid curve is proposed for the relationship between perceived assembly complexity and product complexity indicating that human workers start to perceive assembly operation of a particular product as complex if the product complexity reaches a critical threshold which can vary among WMG, University of Warwick, CV4 7AL, Coventry, UK ( ) individuals with different skill sets, experience, training levels and assembly preferences.

show abstract

Section: Common Practices On Measuring Product Assembly Complexitymentioning

confidence: 99%

An experimental investigation on the relationship between perceived assembly complexity and product design complexity

Alkan

2019

Int J Interact Des Manuf

View full text Add to dashboard Cite

show abstract

“…The assembly planning process, based on the current practices of the original equipment manufacturers (OEMs) and system integrators, is divided into many phases, starting from the product preparation for assembly (Samya and ElMaraghy 2010) up to purchasing and installing the equipment. In the current industrial practice, there are usually four distinct assembly line planning and deployment phases, namely: pre-engineering, concept engineering, 3D detail engineering and implementation.…”

Section: Industrial Practicementioning

confidence: 99%

An agent-based collaborative platform for the design of assembly lines

Papakostas

Pintzos

Giannoulis

et al. 2015

International Journal of Computer Integrated Manufacturing

View full text Add to dashboard Cite

This paper presents an internet-based approach for the performance of assembly line balancing and design in an integrated manner. The resulting software is capable of generating, simulating and evaluating a series of alternative assembly line configurations and is implemented as a cloud service, taking into account diverse market and manufacturing scenarios. The platform, which the discrete applications are based on, is a multi-agent system comprising different software agents, which assist engineers in the collaboration processes. Special focus is given to the problem of designing mixed-model assembly lines based on the existing engineering information with new calculations. A multi-agent framework and a common data repository are used for the integration of the stakeholders along the engineering chain. The proposed approach is demonstrated through an automotive case study.

show abstract

“…The complexity assessment work by ElMaraghy is of significance to quantify manufacturing operational complexity [22], products assembly complexity [23] and complexity of an assembly system [24]. However, it is proposed that a more comprehensive complexity model for the objective of hybrid-automation be developed that comprehends all above important parameters of an assembly process.…”

Section: Analysis Of the Concept Phasementioning

confidence: 99%