Taguchi Loss Function Research Articles

Quality management model for perishable food in a fishing industry

AbstractAs in other developing countries, the fishing industry has a great social and economic impact in Cuba. In fact, this sector generates income in foreign currency, provides for its own investments, and finances priority economic and social programs of the country. In the last 5 years, Cuba covered 100% of the domestic market demand of the sector as well as the needs of the tourism and export sectors. This article presents a study in the Cuban food sector, specifically in the fish processing industry, with a goal of reducing losses with the implementation of improvements, according to the technological‐organizational base. The Knowledge‐level model, based on the comprehension of the process, establishes guidelines to manage quality. It is developed in the shrimp industry, which contributes 80% of the exportable products in the analyzed industry. The causes of the most frequent defects were associated with ineffectiveness in relations with suppliers and with temperature regulation in the reception tank. The Taguchi Loss Function quantified an improvement potential by the effect “temperature.” In a defect depending on this parameter, in values around the upper limit of specification (2°C), the losses presented were 4.5 times higher than those in the interval 1.3–1.4°C, thus proving to be the most effective for its regulation. The Variation Mode and Effect Analysis assessed the incidence of variability in the export capacity. It was obtained in order of priority: environment, equipment, and employees. The most important noise factor was equipment. Related to this, the ice plant presented the most representative failure modes, 66% of which can be resolved by maintenance. This improvement alternative improves the process by attenuating the ambient temperature effect. The technical availability has been increased, the process was properly documented, and these actions have strengthened the motivation of the personnel integral to the study, based on the organization of the quality department and the productive area.Practical applicationsThis study shows a practical model designed to reduce losses in the industrial sector of fish production and processing. The model uses Quality Management tools and its development follows a simple and well‐defined roadmap. The technical support of the model derives from well‐accepted statistical methods. The model was directed and focused on industrial activities related to fish processing in general, with an emphasis on the analysis of shrimp production; it takes into account the typical characteristics of highly perishable products. The results obtained demonstrate significant financial gains with the minimization of losses that generally occur in the processing of perishable products. This article presents a study in the fish processing industry with a goal of reducing losses with the implementation of improvements, according to the technological‐organizational base. The knowledge‐level model described here is based on the comprehension of the process and it establishes guidelines to manage quality. The causes of the most frequent defects were associated with ineffectiveness in relations with suppliers and with inadequate control of important actions and variables of the process.

Effect of Linex loss function on the VSIX̄ control chart

ABSTRACTThe concept of loss function has been combined, with a numerous statistical decision models which require quality cost estimation. Moreover, estimation of the costs of non-conforming product is one of the most important inputs in economic design of control charts. Therefore, on the basis of new Markov chain approach, this paper focused on extending control chart with variable sampling interval by considering the Linex and Taguchi loss functions. This study mainly differs from the others conducted in the field. In that a new approach is offered to achieve closed form of some statistical criteria. Using numerical example, we show that not only the control chart based on the Linex loss function can be more efficient than the control chart based on the Taguchi loss function in terms of the expected cost per hour, but also the percentage improvement in compared to is higher.

Accurately estimating and minimizing costs for the cellulosic biomass supply chain with statistical process control and the Taguchi Loss Function

This research focuses on the statistical evaluation of the feedstock attributes of the biomass supply chain and the estimation of attribute costs as a function of the feedstock variability. Challenges of using cellulosic feedstocks include the variability of feedstock quality (e.g., ash content and moisture content), which impacts the final cost of the manufactured product. Statistical Process Control (SPC), Taguchi Loss Function, and components of variance techniques were illustrated for quantifying cumulative variance in the biomass supply chain. Costs in the presence of cumulative variance were estimated for switchgrass (Panicum virgatum L.) and loblolly pine residues (Pinus taeda L.). Findings of the study indicated that additional costs from ash content variability in switchgrass increased the net cost by $19.15 per dry tonne. Additional costs from densification due to particle size variation increased net cost by $11.59 per dry tonne. Moisture content variation increased costs by $14.86 per dry tonne. This would represent a 50 to 100% increase in costs due to variation based on a $60 to $70 per dry tonne manufactured product cost. This study illustrates that total costs may be considerably underestimated if the influence of variance for key factors in the supply chain and associated costs are not estimated.

L.A.R.G. supplier selection based on integrating house of quality, Taguchi loss function and M.O.P.A.

Nowadays, companies are able to obtain the key to success in global competition by choosing the right suppliers who are more align with their strategies. It is clear that applying appropriate attitudes and criteria have a great importance in choosing suppliers in the process of decision-making by chain managers and especially purchasing managers. In this study tried to apply Lean, Agile, Resilient and Green (L.A.R.G.) approach in a model designed to select the consistence supplier. Accordingly, at first, while reviewing and exploiting the literature, the most main logistics needs of the company concerned in the light of the objectives that followed on the fields of the LARG attitudes, are refined and selected, then their degree of significance is determined through Multi-Objective Performance Analysis (M.O.P.A.). The house of quality (H.O.Q.) matrix is applied to determine the importance degree of the technical characteristics of the suppliers and Taguchi loss function is applied to determine the degree of their performance deviation from the target value in each one of the technical characteristics (ultimate judgment about their competency). The considered suppliers are ranked based on the results of the loss function analysis. A sensitivity analysis was conducted to analyse the impact of different conditions on suppliers’ ranking and validation of the ranking results were Satisfied by applying the T.O.P.S.I.S. method.

Quality Engineering with Taguchi Loss Function Method and Improvement of Work Method in Anode Changing

One of the companies engaged in aluminum smelting product ion has problems, namely the occurrence of high variations in the removal of new anodes to the old anodes which are influenced by the operator's working method because of unnecessary movements and movements beyond the Anode Changing mechanism set by the company has become a habit of the operator itself, so the time needed to replace the anode is getting longer. This problem causes the company to suffer losses due t o the product ion process that runs not in accordance with established procedures. So, the company needs to calculate the losses incurred due to variations in anode replacement and see how the operator's working method when changing the anode that causes these variations and also has an influence on the anode replacement cycle time. The method used for this problem is Taguchi Loss Function which is used to calculate the losses suffered by the company and improve work methods using the Modular Arrangement of Predermined Time Standards (MODAPTS) method to calculate the processing time. The results obtained using this method are losses experienced by the company in Block 1 amounting to Rp 19,733,263, while the total losses in Block 2 amount to Rp 35,919,435. While for the operator's working method, the operator's work movements are analyzed which are not in accordance with the economic principles of the movement . Comparison of the standard time of actual and proposed work methods is 774.847 seconds and 648.2 seconds with a time difference of 126,647 seconds faster and there are no movements that should not be done so that the operator can use the time to adjust the anode height as well as possible according to the standards determined by the company.

QUANTITATIVE ASSESSMENTS OF THE QUALITY OF MEDICAL CARE FOR PATIENTS IN CONDITIONS OF PRIVATE-STATE PARTNERSHIP

Introduction: The article discusses the problems of joint activities of public and private sectors to ensure the proper quality of medical services and jointly overcome financial and production risks. It is emphasized that if the financial and administrative issues of such interaction have been studied to a certain extent, then a quantitative assessment of the quality of medical care provided in a public-private partnership has so far raised questions The aim: Identify ways to use industrial quality criteria for providing medical care to patients in public-private partnership conditions. Materials and methods: The results of rehabilitation of 300 patients with gastrointestinal pathology who underwent rehabilitation in the resort "Kvitka Poloniny" of the TOV "Suzirya" were studied. 160 patients underwent rehabilitation in the private part of the resort, 140 - in the state. Results and conclusions: The theoretical approaches to the use of scientific and technological tools for the implementation of public-private partnership in medical institutions, in particular in a rehabilitation center, are discussed. They are based on instrumental approaches to assessing the quality of medical care. The use of Pareto assessment techniques and the Taguchi loss function allows us to quantitatively characterize the improvement in the quality of care provided with the help of public-private partnership.

Metoda oceny krytyczności części zapasowych oparta o rozmyty proces hierarchii analitycznej AHP i funkcję strat Taguchi

Effective and efficient operation of a manufacturing system highly depends on the timely and correct implementation of maintenance operations. One of the most important factors affecting the successful implementation of maintenance operations is the determination of suitable inventory control policies for maintenance spare parts. Effective spare parts inventory management requires the criticality evaluation of spare parts. In this study, a novel spare parts criticality evaluation approach is proposed. First, the evaluation criteria are determined based on literature review and expert opinion and Fuzzy Analytical Hierarchy Process (AHP) is used to determine the criteria weights. Next, Taguchi loss functions and simulation modeling are employed for the calculation of loss values for the spare parts. Finally, a criticality ranking of the spare parts is obtained based on the weighted loss values which are calculated using criteria weights and loss values. The applicability of the proposed approach was tested by applying it to a spare part criticality evaluation problem faced by a manufacturing company.

Taguchi Kayıp Fonksiyonları ve Analitik Hiyerarşi Süreci Kullanılarak Bakım Politikalarının Değerlendirilmesi

The existence of a company in today’s highly automated production environment largely depends on the high availability rates of production machines. High machine availability rates can only be achieved by applying suitable maintenance policies. Determination of a suitable maintenance policy requires the consideration of many factors. In this study, a new methodology integrating Analytical Hierarchy Process (AHP) and Taguchi loss functions was developed for the determination of the most suitable maintenance policy. This methodology represents the first use of Taguchi loss functions for maintenance policy evaluation and the use of these functions ensured the consideration of tangible and intangible maintenance policy evaluation criteria. Applicability and effectiveness of the developed methodology was justified by determining the most suitable maintenance policy for the coating machines of a powder coating factory.

Analysis of manufacturing supply chain agility performance using Taguchi loss functions and design of experiment

PurposeThe purpose of this paper is to evaluate the agility performance level of manufacturing supply chains using Taguchi loss functions (TLFs) and design of experiment (DoE).Design/methodology/approachThe proposed methodology is used for capturing the various agility losses using appropriate TLFs and the aggregated agility loss is calculated at different situations using DoE. The aggregated agility loss is analysed for comparing manufacturing supply chain agility performance.FindingsThe proposed methodology was applied to three Indian auto component supply chains, i.e. X, Y and Z. In total, 27 experiments were carried out using DoE and obtained results show that agility performance level is the highest for X followed by Z, whereas agility performance level is the least for Y.Research limitations/implicationsThe proposed methodology is generic in nature and can be applied to a specific environment for comparing performance of different supply chains. The user has to identify the relevant agility enablers and capture the appropriate TLFs for the specific environment in which agility performance level has to be calculated and compared.Practical implicationsThe proposed methodology provides an effective approach for evaluating agility performance. It can be used by the supply chain manger to assess the supply chain agility performance level of own company with its competitors. These comparisons will help the manufacturing company to find the areas where it should focus.Originality/valueMany studies and researches related to implementation and evaluation of agile manufacturing are reported in the literature but very few studies are available for evaluating the supply chain agility performance. This study will definitely provide a guideline for measuring and comparing manufacturing supply chain agility performance in general and Indian automotive supply chain in specific.

An improved modified FMEA model for prioritization of lean waste risk

Purpose Proposing an improved model for evaluating criticality of non-value added (waste) in operation is necessary for realizing sustainable manufacturing practices. The purpose of this paper is concerning on improvement of the decision support model for evaluating risk criticality lean waste occurrence by considering the weight of modified FMEA indices and the influence of waste-worsening factors causing the escalation of waste risk magnitude. Design/methodology/approach Integration of entropy and Taguchi loss function into decision support model of modified FMEA is presented to rectify the limitation of previous risk reprioritization models in modified FMEA studies. The weight of the probability components and loss components are quantified using entropy. A case study from industry is used to test the applicability of the integration model in practical situation. Findings The proposed model enables to overcome the limitations of using subjective determination on the weight of modified FMEA indices. The inclusion of the waste-worsening factors and Taguchi loss functions enables the FMEA team to articulate the severity level of waste consequences appropriately over the use of ordinal scale in ranking the risk of lean waste in modified FMEA references. Research limitations/implications When appraising the risk of lean waste criticality, ignorance on weighting of FMEA indices may be inappropriate for an accurate risk-based decision-making. This paper provides insights to scholars and practitioners and others concerned with the lean operation to understand the significance of considering the impact of FMEA indices and waste-worsening factors in evaluating criticality of lean waste risks. Practical implications The method adopted is for quantifying the criticality of lean waste and inclusion of weighting of FMEA indices in modified FMEA provides insight and exemplar on tackling the risk of lean waste and determining the most critical waste affecting performability of company operations. Originality/value Integration of the entropy and Taguchi loss function for appraising the criticality of lean waste in modified FMEA is the first in the lean management discipline. These findings will be highly useful for professionals wishing to implement the lean waste reduction strategy.

Artificial Neural Networks as a quality loss function for Six Sigma

In this study, Artificial Neural Networks (ANNs) are proposed to be used as a quality loss function for Six Sigma projects. An industrial data set consisting of power consumption rates of refrigerators and thermal camera readings around their compressors is analysed. For industrial data, relationships between inputs and outputs can be nonlinear and complex. Therefore, traditional statistical models may result in poor inferences. At this point, ANNs emerge as effective tools because of their ability to learn nonlinear and complex relationships. While Six Sigma remains as the major quality initiative, its popularity started to decline among industrial practitioners. Since the methodology was established, Six Sigma toolbox was not radically improved. Therefore, to enhance Six Sigma toolbox, an ANN-based structure is proposed to detect the refrigerators not complying with power specifications through thermal camera readings. Four quality loss function models are compared: one-dimensional parabolic Taguchi loss functions, multivariate Maximum Likelihood cost, logistic regression and finally ANNs. The analyses are conducted by Monte Carlo cross-validation to obtain precision-recall curves for these methods. The ANN-based cost function is shown to outperform other three methods. Finally, ANNs are found to be an effective tool which may bring new dimensions to Six Sigma concept.

Supplier selection of an Indian heavy locomotive manufacturer: An integrated approach using Taguchi loss function, TOPSIS, and AHP

Supplier selection is increasingly seen as a strategic issue for any firm. In the literature, a variety of supplier selection criteria and methodologies have been reported. However, in this article, to find the most dependable supplier for an Indian heavy locomotive firm, some of the selection criteria like quality, delivery, price and service are employed. Subsequently, an integrated model is proposed for objective assessment of suppliers by integrating three methods namely, Taguchi loss function, analytical hierarchy process (AHP), and technique for order performance by similarity to ideal solution (TOPSIS). Finally, two cases of the firm under study, along with sensitivity analysis, are considered to demonstrate the credibility of the model.

Constrained Optimal Design of $bar{X}$ Control Chart for Correlated Data under Weibull Shock Model with Multiple Assignable Causes and Taguchi Loss Function

Constrained Optimal Design of $bar{X}$ Control Chart for Correlated Data under Weibull Shock Model with Multiple Assignable Causes and Taguchi Loss Function

Evaluasi Supplier Dengan Menggunakan Metode Analytical Hierarchy Process Dan Taguchi Loss Function

Supplier evaluation process is a strategic activity on purchasing management that aims to find out the performance of the supplier. PT. Fronte Classic Indonesia is a company manufacturing car carpet, one of the raw materials needed in producing car carpet that is calcium. The supplier in partnership with the company has performance that is less suitable. The methods used in this research Analytical Hierarchy Process (AHP) and Taguchi Loss Function. AHP is used to determine the weights of the criteria and Taguchi Loss Function is used to calculate the loss function of the respective supplier. Supplier evaluation process carried out to search for suppliers and meet the criteria of the company. The criteria used in the evaluation of suppliers are price, delivery, quality, the accuracy of goods quantity, guarantee policy, response to claims. The results showed that the suppliers who meet the criteria of the company by providing minimum losses as the best supplier.

An integrated Taguchi loss function–fuzzy cognitive map–MCGP with utility function approach for supplier selection problem

Due to the effects of supplier evaluation and selection problem on the quality of products and companies’ business activities, supplier selection is considered as a strategic issue in organizations’ development plans. The purpose of this study is to provide an integrated framework for supplier selection problem regarding to the loss of criteria deviation from specification limits, causal relationships between criteria and the preferences of decision makers (DMs) in the supplier selection problem. Thus, in the first step, the loss of each criterion is calculated using Taguchi loss function (TLF), then fuzzy cognitive map (FCM) and hybrid learning algorithm are applied to determine criteria weights. Finally, considering outputs of TLF and FCM methods, multi-choice goal programming with utility function (MCGP-U) is used to select an optimal supplier and to increase the DMs’ expected utility values, simultaneously. The results of implementation of proposed framework based on the extended MCGP-U model on an active company in paint and coating industry show that delivery time criterion has the most effect and priority on suppliers’ evaluations. Also among six qualified suppliers, a supplier with the least total loss value and the most utility values is selected as the optimal supplier for the under consideration company.

Application of Taguchi model to valuation of information security technology considering security quality failure

As interests in intangible assets in a digital economy have been growing, technology valuation is becoming increasingly more important in information technology management. Most existing valuation methods do not reflect the unique characteristics of technology. Thus, this paper aims to suggest an approach for technology valuation that considers the nature of information security technology. First, technological value is evaluated by scoring value factors that are used to analyse the intrinsic characteristics and application of technology. Second, to evaluate the market value, the expected profit of the technology will be deduced by using an income approach, reflecting on the characteristics of information security products and services. The weighted sum of factors from the previous scoring process plays a role in adjusting the expected profit. Third, the Taguchi loss function is applied to calculate the amount of social loss incurred due to the lower quality level of security. The final result of technology valuation is presented by integrating the expected profit and social loss. The proposed approach is illustrated with a case of safe symmetric key algorithm, one of information security technologies in Korea. The results of technology valuation will provide objective information for technology transfer and the selection of R&D projects.

Analysis of Agility Performance of Supply Chain: A Case Study on Indian Automotive Manufacturer

Manufacturing companies should understand the changing customer needs and expectations, access and defend the competitive pressure, anticipate and manage the uncertain demand and supply chain risk, and implement the appropriate technology to survive and excel in today’s marketplace. Therefore, they are moving away from mass production (i.e. lean supply chain) to one based on fast-responsiveness and flexibility, capitalizing on the rapid advancement in internet technologies and factory-on-demand mode of production (i.e. agile supply chain). It is observed that manufacturing companies in India in general and automotive supply chain in specific are compelled to cultivate supply chain agility for enhancing its performance level on continuous basis and comparing its supply chain agility performance with competitors to survive and sustain in the competitive business environment. Therefore, a methodology is proposed to evaluate the supply chain agility of a manufacturing supply chain and compare its performance level with competitors using Fuzzy Analytic Hierarchy Process and Taguchi Loss Function. A case study is developed and the proposed methodology is applied to Indian automotive supply chain for explaining the salient features of it.

An integrative multi-criteria decision making techniques for supplier evaluation problem with its application

Coordinating business operation with suppliers becomes increasingly important to survive and prosper under the dynamic business environment. A good partnership with suppliers not only increase efficiency, but also strengthen corporate competitiveness. Associated with such concern, this study aims to develop a practical approach of multi-criteria supplier evaluation using combined methods of Taguchi loss function (TLF), best-worst method (BWM) and VIse Kriterijumska Optimizacija kompromisno Resenje (VIKOR). A new framework of integrative approach adopting these methods is our main contribution for supplier evaluation in literature. In this integrated approach, a compromised supplier ranking list based on the loss score of suppliers is obtained using efficient steps of a pairwise comparison based decision making process. Implemetation to the case problem with real data from crumb rubber industry shows the usefulness of the proposed approach. Finally, a suitable managerial implication is presented.

A decision framework for sustainable supplier selection and order allocation with lost sales

Abstract In recent years, companies have started to focus on their supply chains to enhance their sustainability performance in order to meet the customer demands and comply with environmental legislations. Therefore, the sustainability awareness has become an important issue in supply chain management and companies prefer to work with other companies focusing on this subject. This study presents a decision framework for sustainable supplier selection and order allocation problem. The framework consists of three integrated components. First, fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) approach is used to calculate the weights of sustainable criteria considered in decision making process. Second, these weights are used as inputs in Taguchi Loss Functions for ranking and calculating the rating value of each supplier. The ranking values are then taken as inputs to determine the optimal order quantities that should be allocated to each supplier using bi-objective optimization. The first contribution of this study is that it presents a novel hybrid approach by integrating fuzzy DEMATEL and Taguchi loss functions for evaluating and ranking sustainable suppliers. The second contribution is that a new bi-objective model considering the issue of lost sales has been proposed for order allocation phase for the first time in literature. The illustration of the proposed framework is shown on a case study which helps decision makers to select the sustainable suppliers and determine order sizes considering lost sales.

Optimization of Multiple Performance Characteristics of Cold rolling Processes Using Taguchi’s Quality Loss Function

The single stand cold rolling mills are generally called as reversing mills, whereby the metal strip is successively wound and unwound in the form of coil as it is repeatedly passed back and forth through the one mill stand. Rolling Pass schedule consists of setting of control parameters at each pass depending on various factor like input and output thickness, width of the coil, material to be rolled, mill capability etc. Majority Quality related problem faced by cold rolled producers using single stand cold rolling are strip thickness variation and strip flatness, also they are concerned about power consumption and production rate. This happens because there is no standard pass schedule available which can predict these Performance parameters. The operator uses thumb rule to make pass schedule. There is no Theoretical model available for such complex cold rolling process. Experimental Model using Taguchi based Single Optimization Method can improve the quality and process performance of the Mill. The main objective of this paper is to show the capability of the Taguchi Quality loss function based multi response optimization methods in increasing productivity of cold rolling process while controlling the Quality and cost of Production. The proposed methodology is used to optimize Multi process performance namely thickness variation, strip flatness, production rate and Power consumption by obtaining optimal solution for control factors exit tension, entry tension, Mill speed and Roll bending pressure for cold rolling of low carbon steel in single stand reversible cold rolling mill. A L_27 orthogonal array was selected and total 27 experiments were conducted after selecting control factors and its levels. Interaction plot shows no interaction among the control parameters. The ANOVA carried out which shows the mill speed is most significant control factor. The optimal values obtained using the multi characteristics optimization Model using Taguchi loss function has been validated by confirmation experiment.