Improving customer service in the real estate industry: A property selection model using Taguchi loss functions

Kethley, R. Bryan; Waller, Bennie D.; Festervand, Troy A.

doi:10.1080/0954412022000010109

Cited by 37 publications

(25 citation statements)

References 8 publications

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“…If a characteristic measurement is the same as the target value, the loss is zero. Otherwise, the loss can be measured by using a quadratic function, after which actions are taken to reduce systemically the variation from the target value [13,14]. Taguchi's formulation recognizes the losses before a product is shipped, the losses incurred during use, and most importantly, the losses incurred as a result of use or consumption [15].…”

Section: (1) Loss Via Taguchi Loss Functionsmentioning

confidence: 99%

“…This target can be the centre or some shift in two-sided specification limits, called a two-sided equal-specification Taguchi loss function and two-sided with a specification-preference Taguchi loss function, respectively (see Figs. 1 and 2) [13,14]. The loss function are given by Eq.…”

Section: (1) Loss Via Taguchi Loss Functionsmentioning

confidence: 99%

“…Quigley and McNamara [15] implemented such functions to evaluate product quality as an aid in the selection of suppliers. Kethley [14] applied them to improve customer service in the real estate industry. Li [3] used them for the measurement of service quality.…”

Section: (1) Loss Via Taguchi Loss Functionsmentioning

confidence: 99%

See 2 more Smart Citations

Supplier evaluation and selection via Taguchi loss functions and an AHP

Low

2005

Int J Adv Manuf Technol

101

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The purchasing function directly affects the competitive ability of a firm. Purchasing managers need to periodically evaluate supplier performance in order to retain those suppliers who meet their requirements. The importance of incorporating multiple attributes such as quality, on-time delivery, price and service, into vendor evaluation are well established in the literature. This report provides a more accurate and easier method for quantifying the supplier's attributes to quality-loss using a Taguchi loss function, and these quality losses are also transferred into a variable for decision-making by an analytical hierarchy process (AHP). An example for supplier evaluation and selection is also presented to demonstrate the functional application of the model.

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Section: (1) Loss Via Taguchi Loss Functionsmentioning

confidence: 99%

Section: (1) Loss Via Taguchi Loss Functionsmentioning

confidence: 99%

See 1 more Smart Citation

Supplier evaluation and selection via Taguchi loss functions and an AHP

Low

2005

Int J Adv Manuf Technol

101

View full text Add to dashboard Cite

show abstract

“…If a characteristic measurement is the same as the target value, the loss is zero. Otherwise, the loss can be measured using quadratic functions and actions are taken to reduce systemically the variation from the target value [12]. Taguchi's formulation recognizes the losses before a product is shipped, the losses incurred during use, and most important, losses incurred as a result of use or consumption [13].…”

Section: Taguchi Loss Functionsmentioning

confidence: 99%

Supplier evaluation and selection using Taguchi loss functions

Low

2004

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The purchasing function directly affects the competitive ability of a firm. Purchasing managers need to periodically evaluate supplier performance in order to retain those suppliers who meet their requirement. Four attributes are frequently used as performance criteria. These attributes are quality, on-time delivery, price and service. An evaluation and selection system of suppliers using Taguchi loss functions is proposed in this paper based on these four attributes. These four attributes are transferred to the quality loss and combined to one decision variable for decision making. It is useful to make supplier evaluation and selection for promoting the competitive ability of a firm. An example of application to supplier evaluation and selection is also presented.

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“…Many papers on a wide variety of applications of Taguchi's loss function is published in the recent past (Liao & Kao, 2010;Pi & Low, 2006;Antony, 2000;Antony, 2001;Wu, 2004;Kethley, 2002;Chan & Ibrahim, 2004;Cho & Cho, 2008;John, 2012). The QLP method is to…”

Section: Methodsmentioning

confidence: 99%

A dual response surface optimization methodology for achieving uniform coating thickness in powder coating process

John¹

2015

10.5267/j.ijiec

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The powder coating is an economic, technologically superior and environment friendly painting technique compared with other conventional painting methods. However large variation in coating thickness can reduce the attractiveness of powder coated products. The coating thickness variation can also adversely affect the surface appearance and corrosion resistivity of the product. This can eventually lead to customer dissatisfaction and loss of market share. In this paper, the author discusses a dual response surface optimization methodology to minimize the thickness variation around the target value of powder coated industrial enclosures. The industrial enclosures are cabinets used for mounting the electrical and electronic equipment. The proposed methodology consists of establishing the relationship between the coating thickness & the powder coating process parameters and developing models for the mean and variance of coating thickness. Then the powder coating process is optimized by minimizing the standard deviation of coating thickness subject to the constraint that the thickness mean would be very close to the target. The study resulted in achieving a coating thickness mean of 80.0199 microns for industrial enclosures, which is very close to the target value of 80 microns. A comparison of the results of the proposed approach with that of existing methodologies showed that the suggested method is equally good or even better than the existing methodologies. The result of the study is also validated with a new batch of industrial enclosures.

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Improving customer service in the real estate industry: A property selection model using Taguchi loss functions

Cited by 37 publications

References 8 publications

Supplier evaluation and selection via Taguchi loss functions and an AHP

Supplier evaluation and selection via Taguchi loss functions and an AHP

Supplier evaluation and selection using Taguchi loss functions

A dual response surface optimization methodology for achieving uniform coating thickness in powder coating process

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