Supplier Evaluation and Selection using Revised Taguchi Loss Function

2009 ◽  
Vol 9 (24) ◽  
pp. 4240-4246 ◽  
Author(s):  
A.N. Sadigh ◽  
Norzima bt. Zulkif ◽  
T.S. Hong ◽  
M. Abdolshah
Keyword(s):  
Loss Function ◽  
Supplier Evaluation ◽  
Taguchi Loss Function

scholarly journals Evaluasi Supplier Bahan Baku Plat Besi Dengan Menggunakan Metode Analytical Hierarchy Process Dan Taguchi Loss Function

2017 ◽  
Vol 16 (1) ◽  
pp. 10
Author(s):  
Wildatul Khoiro
Keyword(s):  
Loss Function ◽  
Analytical Hierarchy Process ◽  
Evaluation Process ◽  
Supplier Evaluation ◽  
Repair Service ◽  
Taguchi Loss Function ◽  
Iron Plate ◽  
Material Defects ◽  
Marine Industry ◽  
Hierarchy Process

PT. Lamongan Marine Industry is a manufacturing company that produce large ships. The company have contracts with four suppliers of iron plate. In cooperation with these suppliers, they unable to meet the quality standards for iron plate is a measure of the thickness of the thick 45 mm. Material defects from suppliers thickness is less the limit set by the company is 0,3 mm – 0,5 mm. Process evaluation of the suppliers performed to look for suppliers that meet the criteria of the company. In this study, supplier evaluation process is carried out using Analytical Hierarchy Process (AHP) and Taguchi Loss Function (TLF). AHP for wighting each of criterian, while TLF  for calculating loss function each of supplier. Criterian of the supplier evaluation are price, quality, delivery, underweight, availability, payment system, guarantee policy and repair service, with wight for each criterion are 6%, 6%, 8%, 15%, 17%, 13%, 8% and 26%. The results showed that the best supplier that meets the company criteria is a supplier  PT. Biz Fitting with loss Rp. 1.140.973.

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

2018 ◽  
Vol 19 (2) ◽  
pp. 178
Author(s):  
Muhammad Yanu Asdidi ◽  
Moeso Alpianto ◽  
Ahmad Ainul Yaqin
Keyword(s):  
Loss Function ◽  
Analytical Hierarchy Process ◽  
Raw Materials ◽  
Evaluation Process ◽  
Purchasing Management ◽  
Policy Response ◽  
Supplier Evaluation ◽  
Taguchi Loss Function ◽  
Hierarchy Process ◽  
A Company

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 improved modified FMEA model for prioritization of lean waste risk

2018 ◽  
Vol 11 (2) ◽  
pp. 233-253 ◽  
Author(s):  
Agung Sutrisno ◽  
Indra Gunawan ◽  
Iwan Vanany ◽  
Mohammad Asjad ◽  
Wahyu Caesarendra
Keyword(s):  
Decision Support ◽  
Loss Function ◽  
Value Added ◽  
Ordinal Scale ◽  
Decision Support Model ◽  
Integration Model ◽  
Taguchi Loss Function ◽  
Content Type ◽  
The Impact ◽  
Support Model

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.

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

2019 ◽  
Vol 32 (1) ◽  
pp. 1944-1964 ◽  
Author(s):  
Dariush Mohamadi Zanjirani ◽  
Sarfaraz Hashemkhani Zolfani ◽  
Olegas Prentkovskis
Keyword(s):  
Loss Function ◽  
Supplier Selection ◽  
House Of Quality ◽  
Taguchi Loss Function

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

2019 ◽  
Vol 296 ◽  
pp. 02008
Author(s):  
Ikhsan Siregar
Keyword(s):  
Loss Function ◽  
Cycle Time ◽  
Function Method ◽  
Processing Time ◽  
Smelting Product ◽  
Taguchi Loss Function ◽  
Aluminum Smelting ◽  
Time Standards ◽  
Work Method ◽  
Working Method

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.

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