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Abstract: In order to improve the quality of decision about orders incoming to make to order (MTO) company, an effective evaluation approach is essential. So, in this paper a comprehensive decision making structure is presented for acceptance or rejection of incoming orders. The aim of the proposed structure is to manage the arriving orders so that the MTO system just proceeds to produce those arriving orders which are feasible and profitable for the system. The proposed structure composed of three phases. At the first phase, arriving orders are prioritized into high and low priority orders, considering characteristics of order and customer and utilizing technique for order performance by similarity to ideal solution (TOPSIS). At the second phase, rough-cut capacity was calculated for each order regarding priority level and so, acceptance or rejection decision is taken based on it. Finally, at the third phase, the previous phase accepted orders are evaluated based on their due dates and material arrival times and final decisions for orders are made. At the end, the effectiveness of the proposed structure is demonstrated through a case study. [Copyright &y& Elsevier]

Abstract: E-alliance is the union of e-commerce and its success and efficiency is related to comprehensive quality of e-commerce. Thus, ranking e-commerce websites in e-alliance is of importance, which is a multi-criteria decision-making (MCDM) problem. This paper proposes an evaluation model based on analytic hierarchy process (AHP), fuzzy sets and technique for order performance by similarity to ideal solution (TOPSIS), to tackle the issue in fuzzy environment. The AHP is applied to analyze the structure of ranking problem and to determine weights of the criteria, fuzzy sets is utilized to present ambiguity and subjectivity with linguistic values parameterized by triangular fuzzy numbers, and TOPSIS method is used to obtain final ranking. Case analysis is conducted to illustrate the utilization of the model for the problem. It demonstrates the effectiveness and feasibility of the proposed model. [ABSTRACT FROM AUTHOR]

Abstract: In this paper we propose an integrated model from the most important and usable Multi-Criteria Decision Making (MCDM) techniques, means Analytic Hierarchy Process (AHP) and Technique for Ordering Preference by Similarity to Ideal Solution (TOPSIS), in order to examine the improvement fields of Iran automobile industry. A new approach, AT method, has been suggested to combine the results of two techniques to find the final ranking. Besides, we propose a developing Data Envelopment Analysis (DEA) model as a basis for comparing the reliability of results of the MCDM techniques, which depicts AT is more reliable than AHP and TOPSIS. Our results have certified that safety and then price are the customers’ most important criteria for automobile selection. After comparing the internal and external products, and ranking them based on the criteria and sub-criteria, the necessity to improve internal automobiles on various fields has been prioritized. [ABSTRACT FROM AUTHOR]

Abstract: This paper models the aeroengine health assessment problem as a multi-criteria decision-making (MCDM) problem and proposes a three-step evaluation model, which combines the techniques of fuzzy analytic hierarchy process (fuzzy AHP), fuzzy preference programming (FPP) and technique for order performance by similarity to ideal solution (TOPSIS). Fuzzy AHP and FPP methods are used to determine the relative weights of multiple evaluation criteria and synthesize the ratings of candidate aeroengines. Aggregated the evaluators’ attitude toward preference, then TOPSIS is employed to obtain a crisp overall performance value for each alternative to make a final decision. To illustrate how the approach is used for the aeroengine health assessment problem, an empirical study of a real case involving eleven evaluation criteria and ten initial commercial aeroengines of Air China Ltd. is conducted. The case study demonstrates the effectiveness and feasibility of the proposed evaluation procedure. [ABSTRACT FROM AUTHOR]

The paper proposed a Fuzzy Multiple Criteria Decision Making (FMCDM) approach for banking performance evaluation. Drawing on the four perspectives of a Balanced Scorecard (BSC), this research first summarized the evaluation indexes synthesized from the literature relating to banking performance. Then, for screening these indexes, 23 indexes fit for banking performance evaluation were selected through expert questionnaires. Furthermore, the relative weights of the chosen evaluation indexes were calculated by Fuzzy Analytic Hierarchy Process (FAHP). And the three MCDM analytical tools of SAW, TOPSIS, and VIKOR were respectively adopted to rank the banking performance and improve the gaps with three banks as an empirical example. The analysis results highlight the critical aspects of evaluation criteria as well as the gaps to improve banking performance for achieving aspired/desired level. It shows that the proposed FMCDM evaluation model of banking performance using the BSC framework can be a useful and effective assessment tool. [Copyright &y& Elsevier]

Abstract: Bancassurance has enjoyed considerable success in Europe, but this concept is relatively new for Asian countries, having emerged only in 2002. Thus, the aim of this paper is to search and identify the preferable bancassurance alliance structure from the executive management perspectives. We adopt the analytical hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to construct an evaluation method. Finally, this study proves that Financial Holding Company model in bancassurance alliance models is preferable for the executive. [Copyright &y& Elsevier]

Abstract: For ensuring the successful implementation of medical service investments, here an expert selection system of how ventures can better evaluate and select a favorable city to invest before that implementation has been developed. However, selecting an ideas city is a kind of multiple criteria decision-making (MCDM) problem requiring to consider a large number of complex factors that are based on the independence assumption. The analytic network process (ANP) is a relativly new MCDM method which can deal with all kinds of dependences systematically. With the advantages of ANP in hand, in this paper, we develop an effective method based on the ANP combined with the technique for order preference by similarity to ideal solution (TOPSIS) to help medical service inventors who need to evaluate and select proper city. Additionally, an empirical study is presented to illustrate the application of the proposed method. [Copyright &y& Elsevier]