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  • List of Articles


      • Open Access Article

        1 - A hybrid method to find cumulative distribution function of completion time of GERT networks
        S.S Hashemin S.M.T Fatemi Ghomi
        This paper proposes a hybrid method to find cumulative distribution function (CDF) of completion time of GERT-type networks (GTN) which have no loop and have only exclusive-or nodes. Proposed method is cre-ated by combining an analytical transformation with Gaussian qua More
        This paper proposes a hybrid method to find cumulative distribution function (CDF) of completion time of GERT-type networks (GTN) which have no loop and have only exclusive-or nodes. Proposed method is cre-ated by combining an analytical transformation with Gaussian quadrature formula. Also the combined crude Monte Carlo simulation and combined conditional Monte Carlo simulation are developed as alternative methods of solution procedure. Then, through a comparative study made for different solution procedures, the superiority of hybrid method is indicated. Computing time and accuracy are considered as fundamental factors for comparison purposes. Manuscript profile
      • Open Access Article

        2 - An ACO algorithm for one-dimensional cutting stock problem
        K Eshghi H Javanshir
        The one-dimensional cutting stock problem, has so many applications in lots of industrial processes and during the past few years has attracted so many researchers’ attention all over the world. In this paper a meta-heuristic method based on ACO is presented to so More
        The one-dimensional cutting stock problem, has so many applications in lots of industrial processes and during the past few years has attracted so many researchers’ attention all over the world. In this paper a meta-heuristic method based on ACO is presented to solve this problem. In this algorithm, based on designed probabilistic laws, artificial ants do select various cuts and then select the best patterns. Also because of the problem framework, effective improvements has been made to problem solving process. The results of that algorithm in sample problems, show high efficiency of the algorithm in different levels of problems. Manuscript profile
      • Open Access Article

        3 - Estimating process capability indices using ridge regression
        S Raissi R Noorossana
        Process capability indices show the ability of a process to produce products according to the pre-specified requirements. Since final quality characteristics of a product are usually interrelated to its previous amounts in earlier workstations, one need to model and con More
        Process capability indices show the ability of a process to produce products according to the pre-specified requirements. Since final quality characteristics of a product are usually interrelated to its previous amounts in earlier workstations, one need to model and consider the relationship among them to assess the process ca-pability properly. Hence, conducting process capability analysis in multivariate environment is inevitable; unfortunately, the analysis in multivariate environment is usually complex and requires extensive calcula-tions. Sometimes it is preferable to simplify the analysis by assuming independency among quality character-istics and evaluating process performance with respect to each individual quality characteristic using univari-ate process capability indices such as CP, CPK, CPM, and CPMK. However, this simplification introduces some error in the analysis leading to under or overestimation of the process capability index. This paper models the interrelationship among quality characteristics that are produced in different workstations to provide an over-all process capability index. Ridge residual regression is used as a vehicle to evaluate process capability and helps quality engineers to provide a reasonable quality policy for controlling and reducing variation in quality characteristics. Manuscript profile
      • Open Access Article

        4 - A multi-criteria vehicle routing problem with soft time windows by simulated annealing
        R Tavakkoli-Moghaddam N Safaei M.A Shariat
        This paper presents a multi-criteria vehicle routing problem with soft time windows (VRPSTW) to mini-mize fleet cost, routes cost, and violation of soft time windows penalty. In this case, the fleet is heterogene-ous. The VRPSTW consists of a number of constraints in wh More
        This paper presents a multi-criteria vehicle routing problem with soft time windows (VRPSTW) to mini-mize fleet cost, routes cost, and violation of soft time windows penalty. In this case, the fleet is heterogene-ous. The VRPSTW consists of a number of constraints in which vehicles are allowed to serve customers out of the desirable time window by a penalty. It is assumed that this relaxation affects customer satisfaction and penalty is equal to a degree of customer dissatisfaction. The VRP, which is an extension of traveling sales-man problem (TSP), belongs to a class of NP-hard problems. Thus, it is necessary to use meta-heuristics for solving VRP in large-scale problems. This paper uses a simulated annealing (SA) approach with 1-Opt and 2-Opt operators for solving the proposed mathematical model. The proposed model is then solved by the Lingo software and the associated solutions are compared with the computational results obtained by the SA ap-proach for a number of instance problems. The obtained results are promising and indicating the efficiency of the proposed SA approach. Manuscript profile
      • Open Access Article

        5 - Team size effect on teamwork productivity using information technology
        H Tohidi M.J Tarokh
        Teams are defined as high performing task groups whose members are actively interdependent and share common performance objectives. This definition suggests that only those groups who perform at high levels due to their collective efforts must be considered as teams. In More
        Teams are defined as high performing task groups whose members are actively interdependent and share common performance objectives. This definition suggests that only those groups who perform at high levels due to their collective efforts must be considered as teams. In this paper, a model has been presented for de-termining the effects of information technology in the output of teamwork with Y structure for particular productive organizations. Manuscript profile
      • Open Access Article

        6 - A fuzzy approach to solve a multi-objective linear fractional inventory model
        S.J Sadjadi M.B Aryanezhad A Sarfaraz
        In this paper, the researchers present a multi-objective linear fractional inventory model using fuzzy pro-gramming. The proposed method in this paper is applied to a problem with two objective functions. The re-sulted fuzzy model is transformed into an ordinary linear More
        In this paper, the researchers present a multi-objective linear fractional inventory model using fuzzy pro-gramming. The proposed method in this paper is applied to a problem with two objective functions. The re-sulted fuzzy model is transformed into an ordinary linear programming. The implementation of the develop-ing model presented in this paper is demonstrated through the use of some numerical examples. Manuscript profile
      • Open Access Article

        7 - Inverse feasible problem
        GH.R Amin
        In many infeasible linear programs it is important to construct it to a feasible problem with a minimum pa-rameters changing corresponding to a given nonnegative vector. This paper defines a new inverse problem, called “inverse feasible problem”. For a given More
        In many infeasible linear programs it is important to construct it to a feasible problem with a minimum pa-rameters changing corresponding to a given nonnegative vector. This paper defines a new inverse problem, called “inverse feasible problem”. For a given infeasible polyhedron and an n-vector a minimum perturba-tion on the parameters can be applied and then a feasible polyhedron is concluded. Manuscript profile
      • Open Access Article

        8 - An efficiency measurement model in fuzzy environments, using data envelopment analysis
        F Molavi M.B Aryanezhad M Shah Alizadeh
        Data Envelopment Analysis (DEA) is a technique used to compare efficiency in various sectors such as hospitals, chain stores, and dealerships. It represents a set of linear programming techniques and uses deter-ministic data (inputs and outputs), in stable conditions. T More
        Data Envelopment Analysis (DEA) is a technique used to compare efficiency in various sectors such as hospitals, chain stores, and dealerships. It represents a set of linear programming techniques and uses deter-ministic data (inputs and outputs), in stable conditions. The DEA technique cannot be used when there is data with indeterministic nature, or when there is an environment with dynamic conditions. To address this prob-lem, DEA models can be developed based on linear programming in fuzzy environments (Fuzzy DEA).Most Fuzzy DEA models introduced in the literature are parametric models based on alpha cuts. However, the model introduced in this study is non-parametric and uses fuzzy L-R numbers. From the theory point of view, the objective of this study is to develop a simple and effective Fuzzy DEA model. From the practicality point of view, this model can be applied to assess many issues associated with qualitative factors. Manuscript profile