Concurrent optimization of assembly tolerances for quality with position control using scatter search approach

Prabhaharan, G.; Ramesh, R.; Asokan, P.

doi:10.1080/00207540600596866

Cited by 26 publications

(9 citation statements)

References 26 publications

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“…Recently, Shin and Cho [31] studied two separate process parameters, such as process mean and variability, in the biobjective framework. Peng et al [32] and Prabhaharan et al [33] considered optimal process tolerances and stack-up conditions for mechanical assemblies as a combinatorial optimization problem. Destructive characteristics are often required in many situations, for instance, glass industry.…”

Section: Development Of An Economic Tolerance Design Methods For Destrmentioning

confidence: 99%

Optimal Tolerance Design and Optimization for a Pharmaceutical Quality Characteristic

Jeong

Kongsuwan

Truong

et al. 2013

Mathematical Problems in Engineering

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A number of pharmaceutical quality characteristics are destructive or too costly to inspect. However, most quality improvement tools developed in the pharmaceutical research community typically assume that quality characteristics are nondestructive. This paper proposes a new design system for quality improvement by incorporating the concept of surrogate variables with the concepts of robust design (RD) and tolerance design (TD). The proposed robust-tolerance design paradigm determines the optimal factor setting and specification limits simultaneously, thereby improving quality of pharmaceutical products. In addition, the proposed methodology can provide the optimal tolerance as a mathematical closed-form solution. Finally, a numerical example and its associated sensitivity analysis for a pharmaceutical case are conducted for verification purposes. Based on the numerical example results, the proposed approach could provide robust factor settings with significant tradeoffs between quality and cost.

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Section: Development Of An Economic Tolerance Design Methods For Destrmentioning

confidence: 99%

Optimal Tolerance Design and Optimization for a Pharmaceutical Quality Characteristic

Jeong

Kongsuwan

Truong

et al. 2013

Mathematical Problems in Engineering

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“…In design, constructing and maintenance of any engineering system, engineers/managers have to take many technological and managerial decisions at several stages. The ultimate goal of all such decisions is to either minimize the effort required or maximize the desired benefit [12,10]. For example, some of them are:…”

Section: Optimization Techniquesmentioning

confidence: 99%

Simultaneous Optimization of Design Tolerance and Total Cost for a Piston and Cylinder Assembly

Kumar

Alagumurthy

Ramesh

2009

2009 International Conference on Advances in Recent Technologies in Communication and Computing

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Rapid changes in the market place have led designers and manufacturers to continuously develop new products to satisfy the demands of more exigent customers. Therefore, to be competitive, designers and manufacturers have to perform those steps accurately to ensure final Product quality and manufacturing cost. So Product quality and manufacturing cost have a significant impact on Tolerance. A more scientific approach is often desirable for better performance to overcome this Tolerance problem. In this paper, Design and machining tolerances have been allocated based on optimum total machining cost. New global nonlinear optimization techniques called Pattern Search algorithm and Genetic algorithm have been implemented to find the optimal tolerance allocation and total cost. Finally with respect to total cost both the methods have been compared.

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“…Aguilar et al [1] studied the error sources and their influence on measurement results by means of simulation and experimental tests. Prabhaharan et al [26] introduced a concurrent tolerance approach that could determine optimal product tolerances and minimize combined manufacturing and quality-related costs in the early stages of design.…”

Section: A Literature Reviewmentioning

confidence: 99%

A Systematic Study of the Prediction Model for Operator-Induced Assembly Defects Based on Assembly Complexity Factors

Liu

Whitney

2010

IEEE Trans. Syst., Man, Cybern. A

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It is a common view that the assembly process heavily affects a product's final quality and cost. The continuously shortening product life cycle requires a faster response speed as well as a lower defect rate in assembly production. In this situation, assembly quality control is becoming one of the most demanding problems in the modern manufacturing environment. The main causes of assembly defects can be classified into four categories, i.e., improper design, defective part, variance in assembly system, and operator error. The first three categories have been studied for many decades. However, elements of the operator error have not been fully explored. In this paper, using a copier assembly as an example, the problem of assembly defects caused by mistakes of operators is investigated systematically. A novel defect-rate prediction model is derived from the study of two complexity factors, namely, the design-based assembly complexity factor and the process-based assembly complexity factor, which are defined according to the structure and production characteristics of the copier. Several case studies consistently demonstrate that the new prediction model is accurate and stable for evaluating the copier assembly quality. Moreover, another case study offered in this paper demonstrates that the prediction model can provide effective assistance in the improvement of assembly quality. Index Terms-Assembly, design for assembly (DFA), quality control. I. INTRODUCTION A SSEMBLY, the process of putting together of manufactured parts to make a completed product, is crucial to the cost and quality performance. Taking a copier as an example, according to the field statistics, the first-time pass rate in assembly production is only about 50% or less. Usually, three months are needed before the pass rate can reach a stable level of 95% or above. During this period, a huge number of defective products are generated and have to be reworked, repaired, or scrapped. This results in unbearable loss to the company. In this circumstance, a lower assembly defect rate is needed to

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Concurrent optimization of assembly tolerances for quality with position control using scatter search approach

Cited by 26 publications

References 26 publications

Optimal Tolerance Design and Optimization for a Pharmaceutical Quality Characteristic

Optimal Tolerance Design and Optimization for a Pharmaceutical Quality Characteristic

Simultaneous Optimization of Design Tolerance and Total Cost for a Piston and Cylinder Assembly

A Systematic Study of the Prediction Model for Operator-Induced Assembly Defects Based on Assembly Complexity Factors

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