An ANP based selective assembly approach incorporating Taguchi’s quality loss function to improve quality of placements in technical institutions

2016 ◽  
Vol 28 (1) ◽  
pp. 112-131 ◽  
Author(s):  
Lalit Upadhayay ◽  
Prem Vrat
Keyword(s):  
Loss Function ◽  
Opportunity Cost ◽  
Technical Education ◽  
Selection Process ◽  
Total Loss ◽  
Quality Loss ◽  
Selective Assembly ◽  
Quality Loss Function ◽  
Content Type

Purpose – The performance of technical institutions in India is reflected through the level of campus placements. It is vital for them to have efficient, effective and robust placement policies. Selective assembly is a technique used in manufacturing industry in improving the quality of assemblies from relatively low-quality components. The purpose of this paper is to develop a methodology using selective assembly approach to improve the quality of placements of technical institutions in India. Design/methodology/approach – The paper presents a conceptual model for campus placement process by integrating Selective Assembly, Taguchi’s quality loss function (QLF) and analytic network process (ANP). The data used in the study was taken through surveys and expert opinions. In this paper, for “Selective Assembly” the terminology, “Selective Recruitment” has been used at appropriate places in the context of technical education. Findings – Selective matching of students’ skills done through ANP minimizes the total loss in terms of opportunity cost. Taguchi’s QLF concept was used to evaluate the total loss, in terms of opportunity cost, and to validate the superiority of selective assembly technique over the conventional selection process. Practical implications – The paper outlines measures that can help policy makers to successfully implement the suggested methodology to improve the quality of placements. Originality/value – The application of selective recruitment in the campus placement process is a unique feature in the area of technical education in India. The role of ANP in selective recruitment and assessment of the process through Taguchi’s QLF, illustrate the importance of integrated approach adopted in the selection process.

Optimization of multiple-quality characteristics in micro-WEDG process using Taguchi technique

2014 ◽  
Vol 31 (2) ◽  
pp. 205-219 ◽  
Author(s):  
P.R. Periyanan ◽  
U. Natarajan
Keyword(s):  
Surface Roughness ◽  
Loss Function ◽  
Feed Rate ◽  
Research Work ◽  
Multiple Response ◽  
Quality Loss ◽  
Taguchi Technique ◽  
Quality Loss Function ◽  
Content Type ◽  
Edm Process

Purpose – Micro-EDM is an important process in the field of micro-machining. Especially, the μEDM is one of the technologies widely used for manufacture of micro-parts, micro-tools and micro-components, etc. The accuracy and repeatability of the μEDM process is still highly dependent on the μWEDG process. The electrode generation and regeneration is considered a key enabling technology for improving the performance of the μEDM process. Many engineers considered the Taguchi technique as engineering judgment during multiple response optimizations. This paper aims to focus on the use of micro-WEDG process to generate a micro-tool (electrode) with minimum surface roughness and higher metal removal rate (MRR). Design/methodology/approach – In this research work, the Taguchi quality loss function analysis is used to examine and explain the influences of three process parameters (feed rate, capacitance and voltage) on the output responses such as MRR and surface roughness. Further, the optimized machining parameters were determined considering the multiple response objective using Taguchi multi-response signal-to-noise ratio. Findings – Based on the experimental result, it was concluded that the Taguchi technique is suitable for the optimization of multi-response problem. Originality/value – This paper presents an alternative approach using Taguchi's quality loss function. In most of the modern technological situations, more than one response variable is pertinent to the success of an industrial process. In this research work, the influence of feed rate, capacitance and voltage on the MRR and surface roughness (multiple responses) is investigated.

Use of a Quality Loss Function to Select Statistical Tolerances

1997 ◽  
Vol 119 (3) ◽  
pp. 410-416 ◽  
Author(s):  
H. Vasseur ◽  
T. R. Kurfess ◽  
J. Cagan
Keyword(s):  
Loss Function ◽  
A Priori ◽  
Manufacturing Cost ◽  
Quality Loss ◽  
Quality Loss Function ◽  
Component Assembly ◽  
The Impact ◽  
The Relationship ◽  
Selection Of

In this paper, we present a method for the selection of processes to manufacture various parts of an assembly by establishing a compromise between product quality and part manufacturing cost. We quantify the impact the precision of a part characteristic has on the overall quality of a product by using a standard Taguchi loss function. Part manufacturing cost is modeled as a function of process precision (i.e., standard deviation of the output characteristic) as opposed to previous models where manufacturing cost is a function of part tolerance. This approach is more realistic and does not assume, a priori, a relationship between conventional tolerance and process spread. Rather than allocating conventional tolerances on the assembly parts, we use statistical tolerances that are more pertinent when using a quality loss function. The model adopted makes it possible to investigate the relationship between optimum quality loss and tolerance variations. As expected, the optimum quality loss generally decreases when the tolerance increases. Exceptions may be encountered when changes of process occur. The manufacture of a simple three component assembly is studied to illustrate the findings.

Applying the Taguchi parametric design to optimize the solder paste printing process and the quality loss function to define the specifications

2018 ◽  
Vol 30 (4) ◽  
pp. 217-226 ◽  
Author(s):  
Chien-Yi Huang
Keyword(s):  
Loss Function ◽  
Parametric Design ◽  
Solder Paste ◽  
Quality Loss ◽  
Production Environment ◽  
Quality Loss Function ◽  
Printing Process ◽  
Content Type ◽  
Solder Paste Printing ◽  
Noise Factors

Purpose This research aims to study the stencil printing process of the quad flat package (QFP) component with a pin pitch of 0.4 mm. After the optimization of the printing process, the desired inspection specification is determined to reduce the expected total process loss. Design/methodology/approach Static Taguchi parametric design is applied while considering the noise factors possibly affecting the printing quality in the production environment. The Taguchi quality loss function model is then proposed to evaluate the two types of inspection strategies. Findings The optimal parameter-level treatment for the solder paste printing process includes a squeegee pressure of 11 kg, a stencil snap-off of 0.14 mm, a cleaning frequency of the stencil once per printing and using an air gun after stencil wiping. The optimal upper and lower specification limits are 119.8 µm and 110.3 µm, respectively. Originality/value Noise factors in the production environment are considered to determine the optimal printing process. For specific components, the specification is established as a basis for subsequent processes or reworks.

TOLERANCE DESIGN BY BREAK-EVEN ANALYSIS FOR REDUCING VARIATION AND COST

1994 ◽  
Vol 01 (04) ◽  
pp. 445-457
Author(s):  
GUANGMING CHEN ◽  
KAILASH C. KAPUR
Keyword(s):  
Transfer Function ◽  
Loss Function ◽  
System Performance ◽  
Total Loss ◽  
Tolerance Design ◽  
Quality Loss ◽  
Design Technique ◽  
Quality Loss Function ◽  
Cost Increase ◽  
The Cost

Tolerance design technique balances the expected quality loss due to variations of the system performance and the cost due to controlling these variations. Measures of quality are discussed and quality loss function is used for tolerance design. The goal is to minimize the total loss that consists of the quality loss to the customer and the cost increase to the producer. The design methodologies are presented for the tolerances of products before shipping to the customer and the tolerances of lower-level characteristics. The approaches to tolerance design for components and subsystems are also demonstrated using the variation transfer function. Examples are given as illustrations of the methodology.

Proposing a two-criterion quality loss function using critical process capability indices

2017 ◽  
Vol 24 (2) ◽  
pp. 384-402 ◽  
Author(s):  
Arash Geramian ◽  
Arash Shahin ◽  
Sara Bandarrigian ◽  
Yaser Shojaie
Keyword(s):  
Loss Function ◽  
Mean Shift ◽  
Process Capability ◽  
Process Capability Indices ◽  
Quality Loss ◽  
Quality Loss Function ◽  
Content Type ◽  
Pdca Cycle ◽  
Capability Indices ◽  
Standard Level

Purpose Average quadratic quality loss function (QQLF) measures quality of a given process using mean shift from its target value and variance. While it has a target parameter for the mean, it lacks a target for the variance revisable for counting any progress of the process across different quality levels, above/below the standard level; thus, it appears too general. Hence, in this research, it was initially supposed that all processes are located at two possible quality spaces, above/below the standard level. The purpose of this paper is to propose a two-criterion QQLF, in which each criterion is specifically proper to one of the quality spaces. Design/methodology/approach Since 1.33 is a literarily standard or satisfactory value for two most important process capability indices Cp and Cpk, its upper/lower spaces are assumed as high-/low-quality spaces. Then the indices are integrated into traditional QQLF, of type nominal the best (NTB), to develop a two-criterion QQLF, in which each criterion is more suitable for each quality space. These two criteria have also been innovatively embedded in the plan-do-check-act (PDCA) cycle to help continuous improvement. Finally, the proposed function has been examined in comparison with the traditional one in Feiz Hospital in the province of Isfahan, Iran. Findings Results indicate that the internal process of the studied case is placed on the lower quality space. So the first criterion of revised QQLF gives a more relevant evaluation for that process, compared with the traditional function. Moreover, this study has embedded both proposed criteria in the PDCA cycle as well. Research limitations/implications Formulating the two-criterion QQLF only for observations of normal and symmetric distributions, and offering it solely for NTB characteristics are limitations of this study. Practical implications Two more relevant quality loss criteria have been formulated for each process (service or manufacturing). However, in order to show the comprehensiveness of the proposed method even in service institutes, emergency function of Feiz Hospital has been examined. Originality/value The traditional loss function of type NTB merely and implicitly targets zero defect for variance. In fact, it calculates quality loss of all processes placed on different quality spaces using a same measure. This study, however, provides a practitioner with opportunity of targeting excellent or satisfactory targets.

Applying the Quality Loss Function in Healthcare

2008 ◽  
pp. 102-107
Author(s):  
Elizabeth Cudney ◽  
Bonnie Paris
Keyword(s):  
Health Care ◽  
Loss Function ◽  
Health Care Services ◽  
Quadratic Loss ◽  
Healthcare Industry ◽  
Quality Loss ◽  
Quality Loss Function ◽  
Quadratic Loss Function ◽  
Care Services ◽  
Fundamental Value

Using the quadratic loss function is one way to quantify a fundamental value in the provision of health care services: we must provide the best care and best service to every patient, every time. Sole reliance on specification limits leads to a focus on “acceptable” performance rather than “ideal” performance. This paper presents the application of the quadratic loss function to quantify improvement opportunities in the healthcare industry.

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