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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Journal of Modern Processes in Manufacturing and Production
- نوع مقاله: Journal Article
- کلمات کلیدی: Data envelopment analysis,Goal Programming,Balanced Scorecard,Decision Making Units,Multi Objective Programming,Weighting Objective Function
- چکیده:
- چکیده انگلیسی: Data envelopment analysis (DEA) is a nonparametric approach to estimate relative efficiency of Decision Making Units (DMUs). DEA is one of the best quantitative approaches and balanced scorecard (BSC) is one of the best qualitative methods to measure efficiency of an organization. Since simultaneous evaluation of network performance of the quad areas of BSC model is considered as a necessity and separate use of DEA and BSC is not effective and leads to miscalculation of performance, integrated DEA-BSC model is applied. Regarding to multi-objective nature of the proposed model, two techniques including goal programming and weighted average method are used to solve such problems. At the end of the study, based on data relating to indexes of quad areas of BSC model, the results of the mentioned methods are compared. Besides assessing validation of the proposed model, the overall efficiency and each of the different stages of BSC are obtained. So that, finding a model for decision making units in various stages of BSC is the innovation of this research study.
- انتشار مقاله: 04-04-1398
- نویسندگان: Kianoosh Kianfar,Mahnaz Ahadzadeh Namin,Akbar Alam Tabriz,Esmaeil Najafi,Farhad Hosseinzadeh Lotfi
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Optimization in Industrial Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: Decision Tree,Segmentation,Customer Relationship Management (CRM),Telecom
- چکیده:
- چکیده انگلیسی: Effective knowledge and awareness of customers require the market segmentation, through which the customers who have the same needs and purchasing patterns as well as the same response to marketing plans are identified. The selection of a proper variable is a requirement, among other, for a successful market segmentation. In today' world, on one hand, the consumers are bombarded with new goods and new services, and on the other hand, they face the varying qualities of the goods and services. Consequently, such uncertainties will lead to more vague decisions and cumulative data. The timely and accurate analysis of these cumulative data can bring about competitive advantages to the enterprises. Furthermore, thanks to new technology and global competition, the majority of organizations have focused on Customer Relationship Management (CRM), with the goal of better serving the customers. The customer relationship planning entails the facilitation and creation of interfaces related to market segmentation, which is considered as a requirement for predicting behavior of the prospective customers in the future. Market segmentation refers to the process of dividing the customers into some segments based on their common characteristics while different groups have the least similarity to each other. This is followed by the formulation of plans for new product production, advertisement and marketing in accordance with the characteristics of each group of customers. Current study aims at identifying the profitable customers of a telecom System, based on their first transaction, using binary tree. The customers of System 780 participated in this case study. The dependent variable and independent variable of the study were identified through mining the data of customers, registered in the databases of System 780. The results showed the acceptable calculation error in distinguishing the profitable customers from other customers.
- انتشار مقاله: 20-05-1397
- نویسندگان: Mohammad Velayati,Mohammadreza Shahriari,Farhad Hosseinzadeh Lotfi
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Industrial and Systems Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: Game Theory,Stackelberg game,Goal Programming,Network DEA,Undesirable output,double-frontier
- چکیده:
- چکیده انگلیسی: In this paper, we consider a three-stage network comprised of a leader and two followers in respect to the additional desirable and undesirable inputs and outputs. We utilize the non-cooperative approach multiplicative model to measure the efficiency of the overall system and the performances of decision-making units (DMUs) from both, the optimistic and pessimistic views. Moreover, we utilize the concept of a goal programming and define a kind of cooperation between the leader and followers, so that the objectives of the managers are capable of being inserted in the models. In actual fact, a kind of collaboration is considered in a non-cooperative game. The non-cooperative models from these view cannot be converted into linear models. Therefore, a heuristic method is proposed to convert the nonlinear models into linear models. After obtaining the efficiencies based on the double-frontier view, the DMUs are ranked and classified into three clusters by the k-means algorithm. Finally, this paper considers a genuine world example, in relevance to production planning and inventory control, for model application and analyzes it from the double-frontier view. The proposed models are simulations of a factory in a real world, with a production area as leader and a warehouse and a delivery point as two followers. This factory has been regarded as a dynamic network with a time period of 24 intervals.
- انتشار مقاله: 17-10-1397
- نویسندگان: Ehsan Vaezi,Seyyed Esmaeil Najafi,Mohammad Haji Molana,Farhad Hosseinzadeh Lotfi,Mahnaz Ahadzadeh Namin
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Applied Research on Industrial Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: Genetic algorithm (GA),Data Envelopment Analysis (DEA),Analytic Hierarchy Process (AHP)
- چکیده:
- چکیده انگلیسی: As ranking is one of the most important issues in data envelopment analysis (DEA), many researchers have comprehensive studies on the subject and presented different approaches. In some papers, DEA and Analytic hierarchy process (AHP) are integrated to rank the alternatives. AHP utilizes pairwise comparisons between criteria and units, assessed subjectively by the decision maker, to rank the units. In this paper, a nonlinear programming (NLP) model is introduced to derive the true weights for pairwise comparison matrices in AHP. Genetic algorithm (GA) is used in order to solve this model. We use MATLAB software to solve proposed model for ranking the alternatives in AHP. A numerical example is applied to illustrate the proposed model.
- انتشار مقاله: 18-11-1392
- نویسندگان: Sahar Khoshfetrat,Farhad Hosseinzadeh Lotfi
- مشاهده
- جایگاه : پژوهشی
- مجله: Iranian Journal of Optimization
- نوع مقاله: Journal Article
- کلمات کلیدی: Data envelopment analysis,efficiency analysis,Lexicographic,Parametric programming,Efficient hyperplanes
- چکیده:
- چکیده انگلیسی: This paper investigates a procedure for identifying all efficient hyperplanes of production possibility set (PPS). This procedure is based on a method which recommended by Pekka J. Korhonen[8]. He offered using of lexicographic parametric programming method for recognizing all efficient units in data envelopment analysis (DEA). In this paper we can find efficient hyperplanes, via using the parameterization of the right hand side vector of the envelopment problem of each efficient unit.
- انتشار مقاله: 03-06-1394
- نویسندگان: Farhad Hosseinzadeh Lotfi,F. Rezaie Balf,A. Taghavi
- مشاهده
- جایگاه : پژوهشی
- مجله: Advances in Mathematical Finance and Application
- نوع مقاله: Journal Article
- کلمات کلیدی: Insurance Companies,Stocks Ranking,Fuzzy DEA
- چکیده:
- چکیده انگلیسی: The main goal of this paper is to propose a new approach for efficiency measurement and ranking of stocks. Data envelopment analysis (DEA) is one of the popular and applicable techniques that can be used to reach this goal. However, there are always concerns about negative data and uncertainty in financial markets. Since the classical DEA models cannot deal with negative and imprecise values, in this paper, possibilistic range directional measure (PRDM) model is proposed to measure the efficiencies of stocks in the presence of negative data and uncertainty with input/output parameters. Using the data from insurance industry, this model is also implemented for a real case study of Tehran stock exchange (TSE) in order to analyse the performance of the proposed method.
- انتشار مقاله: 27-09-1397
- نویسندگان: Pejman Peykani,Emran Mohammadi,Mohsen Rostamy-Malkhalifeh,Farhad Hosseinzadeh Lotfi
- مشاهده