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List of Articles
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Open Access Article
1 - Failure Mode and Effects Analysis Using Generalized Mixture Operators
mahdi shaghaghi Kamran RezaieFailure mode and effects analysis (FMEA) is a method based on teamwork to identify potential failures and problems in a system, design,process and service in order to remove them. The important part of this method is determining the risk priorities of failure modes usin MoreFailure mode and effects analysis (FMEA) is a method based on teamwork to identify potential failures and problems in a system, design,process and service in order to remove them. The important part of this method is determining the risk priorities of failure modes using therisk priority number (RPN). However, this traditional RPN method has several shortcomings. Therefore, in this paper we propose a FMEAwhich uses generalized mixture operators to determine and aggregate the risk priorities of failure modes. In a numerical example, a FMEAof the LGS gas type circuit breaker product in Zanjan Switch Industries in Iran is presented to further illustrate the proposed method. Theresults show that the suggested approach is simple and provides more accurate risk assessments than the traditional RPN. Manuscript profile -
Open Access Article
2 - A Continuous Review inventory Control Model within Batch Arrival Queuing Framework: A Parameter-Tuned Imperialist Competitive Algorithm
Mohammad Alaghebandha Seyed Hamid Reza Pasandideh Vahid HajipourIn this paper, a multi-product continues review inventory control problem within batch arrival queuing approach (MQr/M/1) is modeled to find the optimal quantities of maximum inventory. The objective function is to minimize summation of ordering, holding and shortage co MoreIn this paper, a multi-product continues review inventory control problem within batch arrival queuing approach (MQr/M/1) is modeled to find the optimal quantities of maximum inventory. The objective function is to minimize summation of ordering, holding and shortage costs under warehouse space, service level, and expected lost-sales shortage cost constraints from retailer and warehouse viewpoints. Since the proposed model is Np-Hard, an efficient imperialist competitive algorithm (ICA) is proposed to solve the model. To justify proposed ICA, a simulated annealing algorithm has been utilized. In order to determine the best value of algorithms parameters that result in a better solution, a fine-tuning procedure is executed. Finally, the performance of the proposed ICA is analyzed using some numerical illustrations. Manuscript profile -
Open Access Article
3 - Integrating AHP and data mining for effective retailer segmentation based on retailer lifetime value
Amin Parvaneh Hossein Abbasimehr Mohammad Jafar TarokhData mining techniques have been used widely in the area of customer relationship management (CRM). In this study, we have applied data mining techniques to address a problem in business-to-business (B2B) setting. In a manufacturer-retailer-consumer chain, a manufacture MoreData mining techniques have been used widely in the area of customer relationship management (CRM). In this study, we have applied data mining techniques to address a problem in business-to-business (B2B) setting. In a manufacturer-retailer-consumer chain, a manufacturer should improve its relationship with retailers to continue its business. Segmentation is a useful tool for identifying groups of similar retailers in order to improve retailer loyalty by developing and implementing segment-specific marketing strategies. In this study, we have proposed a methodology for retailer segmentation based on their LRFM variables (relation Length, Recency, Frequency and Monetary) and analytical hierarchy process (AHP). The proposed methodology has been implemented by using data of a firm from a hygienic industry in Iran. The empirical results indicated that there are six groups of retailers. After analyzing each segment according to LRFM values, we labeled each retailer group according to its performance. Furthermore, we provided some possible actions that can be taken in order to improve the relationship between the firm and retailers. Manuscript profile -
Open Access Article
4 - َA Multi-objective simulated annealing algorithm to solving flexible no-wait flowshop scheduling problems with transportation times
Bahman Naderi Hassan SadeghiThis paper deals with a bi-objective hybrid no-wait flowshop scheduling problem minimizing the makespan and total weighted tardiness, in which we consider transportation times between stages. Obtaining an optimal solution for this type of complex, large-sized problem in MoreThis paper deals with a bi-objective hybrid no-wait flowshop scheduling problem minimizing the makespan and total weighted tardiness, in which we consider transportation times between stages. Obtaining an optimal solution for this type of complex, large-sized problem in reasonable computational time by using traditional approaches and optimization tools is extremely difficult. This paper presents a new multi-objective simulated annealing algorithm (MOSA). A set of experimental instances are carried out to evaluate the algorithm by advanced multi-objective performance measures. The algorithm is carefully evaluated for its performance against available algorithm by means of multi-objective performance measures and statistical tools. The related results show that a variant of our proposed MOSA provides sound performance comparing with other algorithms. Manuscript profile -
Open Access Article
5 - Complete Closest-Target Based Directional FDH Measures of Efficiency in DEA
Mahmood Mehdiloozad Israfil RoshdiIn this paper, we aim to overcome three major shortcomings of the FDH (Free Disposal Hull) directional distance function through developing two new, named Linear and Fractional CDFDH, complete FDH measures of efficiency. To accomplish this, we integrate the concepts of MoreIn this paper, we aim to overcome three major shortcomings of the FDH (Free Disposal Hull) directional distance function through developing two new, named Linear and Fractional CDFDH, complete FDH measures of efficiency. To accomplish this, we integrate the concepts of similarity and FDH directional distance function. We prove that the proposed measures are translation invariant and unit invariant. In addition, we present effective enumeration algorithms to compute them. Our proposed measures have several practical advantages such as: (a) providing closest Pareto-efficient observed targets (b) incorporating the decision maker’s preference information into efficiency analysis and (c) being flexible in computer programming. We illustrate the newly developed approach with a real world data set. Manuscript profile -
Open Access Article
6 - Measuring the overall performances of decision-making units in the presence of imprecise data
Hossein Azizi Alireza Bahari Rasul JahedData envelopment analysis (DEA) is a method for measuring the relative efficiencies of a set of decision-making units (DMUs) that use multiple inputs to produce multiple outputs. In this paper, we study the measurement of DMU performances in DEA in situations where inpu MoreData envelopment analysis (DEA) is a method for measuring the relative efficiencies of a set of decision-making units (DMUs) that use multiple inputs to produce multiple outputs. In this paper, we study the measurement of DMU performances in DEA in situations where input and/or output values are given as imprecise data. By imprecise data we mean situations where we only know that the actual values lie in certain intervals, or cases in which data are given only as ordinal relationships. In this paper, we present two distinct approaches obtaining the upper and lower bounds of efficiency which the DMU under evaluation can have with imprecise data. The optimistic approach seeks the best score among the various values of the efficiency score, while the pessimistic approach seeks the worst score. The main idea of the paper is illustrated using an example. Also, two real-world cases are presented to demonstrate how the efficiency interval is interpreted. The efficiency interval not only describes the actual situation in more detail, but also relieves the psychological pressure on all the evaluated DMUs and the decision-maker. Manuscript profile -
Open Access Article
7 - Determination of Material Flows in a Multi-echelon Assembly SupplyChain
Mehrnoosh Taherkhani Mehdi SeifbarghyThis study aims to minimize the total cost of a four-echelon supply chain including suppliers, an assembler, distributers, and retailers. Thetotal cost consists of purchasing raw materials from the suppliers by the assembler, assembling the final product, materials tran MoreThis study aims to minimize the total cost of a four-echelon supply chain including suppliers, an assembler, distributers, and retailers. Thetotal cost consists of purchasing raw materials from the suppliers by the assembler, assembling the final product, materials transportationfrom the suppliers to the assembler, product transportation from the assembler to the distributors, product transportation from thedistributors to the retailers, and product holding and stock-out in the distribution centers. To this end, having modeled the problemaddressed, a numerical example including ten suppliers, an assembler, three distributors and eight retailers in the chain is solved for fourperiods of time. Then the model is solved by a simulated annealing-based heuristic and LINGO. Finally, a set of 30 numerical problems ofsmall and large sizes are developed and solved. The results indicate that simulated annealing-based heuristic provides near optimalsolutions. Manuscript profile -
Open Access Article
8 - Forecasting the Cost of Water Using a Neural Network Method in theMunicipality of Isfahan
Amir Mohammadzadeh Nasrin Mahdipour Arash MohammadzadehDecision making on budgeting is one of the most important issues for executing managers. Budgeting is a major tool for planning andcontrol of projects. In public and non-profit organizations and institutions, estimating the costs and revenues plays an important role inr MoreDecision making on budgeting is one of the most important issues for executing managers. Budgeting is a major tool for planning andcontrol of projects. In public and non-profit organizations and institutions, estimating the costs and revenues plays an important role inreceiving credit and budgeting. In this regard, in the present paper the case of Isfahan municipality is considered. One of the mainexpenditures of the 14 districts of Isfahan is the costs related to water. Predicting the total cost of water helps the municipality of Isfahan tooptimize the water use in its 14 urban zones. Thus, in this study the total cost of water in the districts of Isfahan is estimated usingregression analysis and neural network models. Then the results of the methods are compared with each other to minimize the deviationsfrom the approved budget. Finally, the neural network method is selected as the main simulation method for forecasting the total cost ofwater in the districts of Isfahan. Manuscript profile
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