مدل انتخاب تامین کننده با استفاده از تابع ضرر تاگوچی، فرآیند تحلیل سلسله مراتبی و برنامه ریزی هدف چند انتخابی
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|19210||2010||7 صفحه PDF||سفارش دهید||5230 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Computers & Industrial Engineering, Volume 58, Issue 4, May 2010, Pages 571–577
In recent years, determining the best supplier has become a key strategic consideration in the competitive market. Since the decision commonly involves evaluating different criteria or attributes, supplier selection process is a multiple criteria decision-making (MCDM) problem. This study integrates the Taguchi loss function, analytical hierarchy process (AHP) and multi-choice goal programming (MCGP) model for solving the supplier selection problem. The advantage of this proposed method is that it allows decision makers to set multiple aspiration levels for the decision criteria. A numerical example of application is also presented.
Supplier selection is a multi-criteria decision-making (MCDM) problem that the selection process mainly involves evaluating a number of suppliers according to a set of common criteria for selecting suppliers to meet business needs. For any manufacturing or service business, selecting the right upstream suppliers is a key success factor that will significantly reduce purchasing cost, increase downstream customer satisfaction, and improve competitive ability. Evaluation criteria may be tangible (measurable) items or intangible (immeasurable) items. Different sets of criteria have been proposed to evaluate suppliers. The criteria for supplier evaluation and selection were first proposed by Dickson (1966), who identified 23 different criteria, including quality, on-time delivery, price, performance history, warranties policy, technical capability and financial stability, and so on. Evans (1980) proposed that price, quality and delivery are the most important criteria for evaluating suppliers in industrial market. Shipley (1985) suggested three criteria, i.e., quality, price and delivery lead time, should be used for supplier selection. Ellram (1990) suggested that the firm need to consider the product quality, offering price, delivery time and service quality in supplier selection. Weber, Current, and Benton (1991) surveyed the frequency of Dickson’s 23 criteria and found that price, delivery, quality, and productive capability were mostly used to measure suppliers’ performance. Tam and Tummala (2001) proposed quality, cost, problem solving capability, expertise, delivery lead time, experience, and reputation for selecting a vendor for the telecommunications system. Pi and Low (2005) proposed quality, on-time delivery, price and service for supplier evaluation. Generally, quality is considered the most decisive criterion for supplier selection (Weber et al., 1991). However, quality in itself is not sufficient to ensure that the suppliers can avoid extra costs while offering the right quality. When manufacturers try to decrease their inventory of purchased materials, they will increase their reliance on receiving the “right parts at the right time in the right condition” from their suppliers (Lyn, Unni, & Frank, 1994). Therefore, a just-in-time purchasing system involves a strong relationship with suppliers in terms of offering price, delivery leads time, and service capability. In practice, the purchase price is a significant factor for the purchasing organization. In 1998, 92% of buyers responding to a Purchasing magazine survey cited negotiating price as one of their top responsibilities. Nearly as many respondents said price remains a key criterion they use to select a supplier ( Kotler & Keller, 2006). Losing profitable customers can dramatically affect a firm’s profits. Thus, service satisfaction is a very important element of survival in a competitive market. While the most successful companies are aiming for total customer satisfaction, it is important to quantify service quality (Kotler & Keller, 2006). Li (2003) proposed two modified service quality loss functions to measure service performance. Similarly, the delivery performance such as delivery reliability, availability, and serviceability must also be assessed to match the service levels as set in service specifications and to increase customer satisfaction (Tam & Tummala, 2001). Millen (1991) suggested manufacturers need to look at two supplier organizational systems: (1) a process-based evaluation systems, including cost delivery, quality, management and technology, and (2) a performance-based evaluation systems, including supplier’s quality and delivery performance. In addition, warranty is an important factor in marketing products because a better warranty policy usually signals a higher product quality and provides greater assurance to customers (Wu, Lin, & Chou, 2006). In this study, an integrated method of Taguchi loss function, analytical hierarchy process (AHP) and multi-choice goal programming (MCGP) model is proposed to solve the supplier selection problems. First, the Taguchi loss function is applied to assess the loss of each selection criteria. Second, AHP is used to calculate the relative weight of each criterion. Finally, based on the tangible and intangible constrains regarding the suppliers, a MCGP model is formulated and solved to identify the best supplier. The integrated method is shown in Fig. 1. Full-size image (8 K) Fig. 1. The integration procedure. Figure options The rest of this study is organized as follows. Section 2 reviews the supplier evaluation and selection methods. Section 3 introduces the Taguchi loss functions, AHP, and MCGP. Section 4 applies the integrated method to the supplier selection problem with a numerical example. Finally, Section 5 provides the conclusion of the study.
نتیجه گیری انگلیسی
Supplier selection is one of the critical decision-making activities to obtain competitive advantage and achieve supply chain objectives. To achieve this business goal, the DMs should apply the best method and apply accurate criteria to analyze and solve supplier selection problems. This paper proposes a novel integration technique using Taguchi loss function, AHP and MCGP to evaluate and select the best supplier. Given that many multi-choice aspiration levels may exist, a multiple choice method is most appropriate for a decision problem which involves evaluating different criteria or attributes. First, the advantage of this proposed method is that it allows DMs to set multiple aspiration levels in the resource allocation criteria. Second, the problem can be easily solved by using this proposed method. Furthermore, the proposed method may be useful for various MCDM problems, such as location selection, product development and promotion activities, when available data are vague and uncertain. At last, mathematical models such as multi-segment goal programming (MSGP) (Liao, 2009), group decision-making (GDM) (Fan, Yue, Feng, & Liu, 2010), fuzzy GP (Arenas, Bilbao, Rodríguez, & Jiménez, 1998), analytic network process (ANP) (Saaty, 1996), especially, the technique for order preference by similarity to ideal solution (TOPSIS), that TOPSIS techniques minimize the distance from the ideal point and simultaneously maximize the distance from the anti-ideal point (Yoon & Hwang, 1995), can be combined with the proposed integrated method. These methods can be the focus of future research for solving various management problems.