استفاده از QFD و ANP برای تجزیه و تحلیل نیازهای تولید زیست محیطی در ترجیحات زبانی
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|6134||2010||11 صفحه PDF||سفارش دهید||محاسبه نشده|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Expert Systems with Applications, Volume 37, Issue 3, 15 March 2010, Pages 2186–2196
This study is to apply fuzzy quality function deployment (QFD) model with interdependence relations of environmental production requirements (EPRs) aspects and sustainable production indicators (SPIs) criteria for original equipment manufacturing (OEM) firm in Taiwan. At first, to facilitate the main issue of the QFD problem, however, the “Whats” question of EPRs and “Hows” problem of the SPIs have to be made, which are two major components and be emphasized on the house of quality matrices. In conjunction with fuzzy sets theory and analytical network process, the systematic analytical procedures are proposed. Subsequently, a case study demonstrated the evaluation process for identifying “Whats” and “Hows”. The results of empirical study show that (1) five aspects of EPRs are deemed to have priority to improve the environmental practice; and (2) twenty-two feasible SPIs criteria are practical indicated. In addition, it is suggested that case firm should aware attentively the SPIs and emphasize on exploiting these EPRs effectively. And develop the “Hows” issues, which should continuously strengthen of the EPRs, respectively.
Leading environmental management issues emphasize the need to understand manufacturing decisions and practices for an original equipment manufacturing (OEM) firm to improve its production process in Taiwan. Various studies argue that manufacturing decisions and choices have to be consistent with the corporate strategy for effective environmental production management (Tseng et al., 2008a, Tseng et al., 2008b and Tseng and Lin, 2008). The environmental management has become the most concern of manufacturing firms, which seek for higher levels of green product quality and continuous improvement to keep up with the change throughout the world. However, the environmental practices are dependent on wider aspects to be integrated in order to achieve firm’s goal of waste elimination and lower environmental impact. Hence, firms must integrate environmental aspects to ensure corporate survival and toward sustainable development. A number of studies have explored how to evaluate the environmental production requirements (EPRs) in life cycle assessment (Veleva and Ellenbecker, 2001 and Veleva et al., 2001). None efforts, have been focused on establishing EPRs evaluation framework for OEM firms, because most OEM firms are based on ISO 14000 manual to reduce the impact of environment (Balzarova and Castka, 2008, Nishitani, 2009 and Tsai and Chou, 2009). However, to differentiate from the ISO 14000, this study follows the nature of operations process of OEM firm urges the necessary to justify the EPRs evaluation aspects and criteria. Therefore, an effective and structured EPRs aspects and criteria for OEM firms need to be developed. A challenge of this approach is that EPRs evaluation is always in uncertainty due to environment information are rapidly changes and the aspects are measured in linguistic terms. In many practical cases, the human preference model is uncertain and might be reluctant or unable to assign exact numerical values to describe the preferences. As this result more desirable for the researchers to use fuzzy set theory evaluation. The OEM firms are aim the satisfaction of the customer at the very beginning, namely the product design phase, the approach evaluation bases on total quality management, which offers a vast techniques to ensure the improvement of quality and productivity. Especially, quality function deployment (QFD) is one of these techniques to design the needs of customer and into practical measures. This approach enables the firms to become proactive to quality problems rather than taking a reactive position by acting on customer complaints. In addition, QFD is applied to plan and design new or improved products or services. It employs a cross-functional team to determine customer needs and translate them into product designs through a structured and well-documented framework. This systematic nature evaluates the necessary decisions for change and development at the beginning of the design process, reducing and avoiding the project changes and corrections. Hence, in real situation, numerous criteria are interdependence when evaluating an OEM firm in EPRs. As a typical study to understand the interdependence relations, for instance, a firm that has outstanding energy and material for natural environment to performance in controlling the waste elimination and hazardous for natural environment such as controlling process for producing and improving green products. The analytical network process (ANP) is most suitable tool for solving interdependence relations among the criteria and attributes (Saaty, 1996). The merits of ANP are as follows: (i) both tangibles and intangibles, individual values, and shared values can be included in the decision process; (ii) the discussion can be structured so that every criteria relevant to the decision is considered; and (iii) in a structured analysis, the discussion continues until relevant information from each individual member in the group is considered and a consensus is achieved. In addition to these merits of ANP provides a more generalized model in decision-making without making assumptions about the independence of the aspects and criteria (Dyer & Forman, 1992). The aim of this study was to get a better understanding of a particular, strategic operating decision area in improvement of production process toward sustainability. This study attempts to develop a EPRs hierarchical framework that is sufficiently general that it can be applied. To date, few studies have adopted such a rigorous methodology. This study presents a combined of fuzzy set theory, ANP and QFD that is sufficiently general and it can be applied under various study settings. This firm evaluation in this EPRs assessment can help firms to develop the measures of optimal sustainable production indicators (SPIs). Consequently, resolving problems in evaluating firm is fundamentally important to both researchers and practitioners. The unique point of this study is involved in qualitative measures in linguistic terms presented by triangular fuzzy numbers (TFNs) and defuzzified into a crisp value for analyze in interdependence relations among aspects and criteria, and apply ANP and QFD to acquire the optimal decision-making. This study begins with a brief introduction of the EPRs and the study objectives. Section 2 follows a literature discussion of the EPRs and SPIs and related literatures. Section 3 presents the proposed method. Section 4 presents the empirical study case. A study framework suggests providing a context for applied the proposed method. Section 5 concludes with a summary of the study finding of the method as well as recommendations for its further development and practical application.
نتیجه گیری انگلیسی
This paper aims to apply fuzzy QFD to identify the critical criteria of SPIs for OEM firm from the viewpoints of EPRs. To facilitate the main issue, the QFD approach is discussed firstly. Subsequently, in the QFD process, this study must emphasize on “Whats” EPRs and “Hows” the SPIs have to be made. For solving the environmental practices problem of “Whats” and “Hows”, there are two components and form the cornerstone of this study, the HOQ provides an insightful procedure. However, there are situations in which information is incomplete or imprecise or views that are subjective or endowed with linguistic characteristics creating a “fuzzy” decision-making environment. And yet, the interdependence relationships from the “Whats” and “Hows” should be attend in the particular study. Hence, the fuzzy QFD and ANP approach is used to solve the relationship between “Whats” and “Hows” questions. And finally, the systematic procedures using fuzzy QFD were proposed. An empirical analysis is conducted, using XYZ group as a case study, to demonstrate the systematic evaluation process for identifying the weighted SPIs. The empirical results show that the case firm should listen attentively to improve the EPRs. It is suggested that more attentions should be paid to exploit these EPRs effectively and then develop the “Hows” issues of SPIs. Furthermore, this proposed method can easily and effectively accommodates aspects and criteria that are interdependence. The EPRs evaluation problem addressed by the proposed method is appropriately interdependence. This proposed model with a hierarchical EPRs structure and fuzzy measure establishes a foundation for future research and is appropriate for predicting uncertain EPRs aspects. Furthermore, the management can apply this method to evaluate and determine a firm’s EPRs to improve the firm’s environmental performance and hereby bring the information for manager that will have the great effect in reducing overall sustainable production uncertainty.