@article { author = {Ross, Sheldon M. and Ghamami, Samim}, title = {Efficient Simulation of a Random Knockout Tournament}, journal = {Journal of Industrial and Systems Engineering}, volume = {2}, number = {2}, pages = {88-96}, year = {2008}, publisher = {Iranian Institute of Industrial Engineering}, issn = {1735-8272}, eissn = {2717-3380}, doi = {}, abstract = {We consider the problem of using simulation to efficiently estimate the win probabilities for participants in a general random knockout tournament. Both of our proposed estimators, one based on the notion of “observed survivals” and the other based on conditional expectation and post-stratification, are highly effective in terms of variance reduction when compared to the raw simulation estimator. For the special case of a classical 2n -player random knockout tournament, where each survivor of the previous round plays in the current round, a second conditional expectation based estimator is introduced. At the end, we compare our proposed simulation estimators based on a numerical example and in terms of both variance reduction and the time to complete the simulation experiment. Based on our empirical study, the method of “observed survivals” is the most efficient method.}, keywords = {random knockout tournament,probability,Simulation,observed survivals,conditional expectation}, url = {https://www.jise.ir/article_3970.html}, eprint = {https://www.jise.ir/article_3970_02d5bdcdb9c2ffe9b8b030153c8cf883.pdf} } @article { author = {Sharma, Naresh K. and Drain, David and Cudney, Elizabeth A. and Ragsdell, Kenneth M. and Paryani, Kioumars}, title = {Predicting Customer-Expectation-Based Warranty Cost for Smaller-the- Better and Larger-the-Better Performance Characteristics}, journal = {Journal of Industrial and Systems Engineering}, volume = {2}, number = {2}, pages = {97-113}, year = {2008}, publisher = {Iranian Institute of Industrial Engineering}, issn = {1735-8272}, eissn = {2717-3380}, doi = {}, abstract = {The quality loss function assumes a fixed target and only accounts for immediate issues within manufacturing facilities whereas warranty loss occurs during customer use. Based on the two independent variables, product performance and consumers’ expectation, a methodology to predict the probability of customer complaint is presented in this paper. The formulation presented will serve as a basic model for predicting warranty loss for larger-the-better and smaller-the-better characteristics which is dependent on both product performance and customer expectation. As an example, warranty cost is estimated for automotive disc brakes to demonstrate the methodology for the smaller-the-better case. Another example of solar panels is considered for demonstrating the prediction of warranty loss for the larger-the-better characteristic.}, keywords = {Quality loss function (QLF),Warranty loss function (WLF),Warranty probability,Warranty cost (WC),Product Performance,Customer expectation,Smaller-the-better (STB),and larger-the-better (LTB)}, url = {https://www.jise.ir/article_3971.html}, eprint = {https://www.jise.ir/article_3971_b827460fa9849b0ec5a44c795c778de4.pdf} } @article { author = {Das, Nandini}, title = {A Non-parametric Control Chart for Controlling Variability Based on Squared Rank Test}, journal = {Journal of Industrial and Systems Engineering}, volume = {2}, number = {2}, pages = {114-125}, year = {2008}, publisher = {Iranian Institute of Industrial Engineering}, issn = {1735-8272}, eissn = {2717-3380}, doi = {}, abstract = {Control charts are used to identify the presence of assignable cause of variation in the process. Non-parametric control chart is an emerging area of recent development in the theory of SPC. Its main advantage is that it does not require any knowledge about the underlying distribution of the variable. In this paper a non-parametric control chart for controlling variability has been developed. Its in control state performances have been computed for different distributions and compared with existing Shewhart S chart. Its efficiency to detect shift in variability has been evaluated.}, keywords = {Non-parametric control chart,variability,ARL,Power of a test,OC curve}, url = {https://www.jise.ir/article_3972.html}, eprint = {https://www.jise.ir/article_3972_7fd638b4db2cd3f1c69c3c2446f8629e.pdf} } @article { author = {Lough, Katie Grantham and Stone, Robert B. and Tumer, Irem}, title = {Implementation Procedures for the Risk in Early Design (RED) Method}, journal = {Journal of Industrial and Systems Engineering}, volume = {2}, number = {2}, pages = {126-143}, year = {2008}, publisher = {Iranian Institute of Industrial Engineering}, issn = {1735-8272}, eissn = {2717-3380}, doi = {}, abstract = {Risk assessments performed at the conceptual design phase of a product may offer the greatest opportunity to increase product safety and reliability at the least cost. This is an especially difficult proposition, however, as often the product has not assumed a physical form at this early design stage. This paper introduces the Risk in Early Design (RED) method, a method for performing risk assessments based on functions, rather than physical components, to address this challenge. In particular, this paper focuses on the function based mathematical mappings of the RED method for a preliminary risk assessment based on catalogued historical failure information. An example is presented on how the RED preliminary risk assessment method is used in the design process on a spacecraft thermal control subsystem. Also, heuristics for applying the particular types of risk assessments are discussed. The preliminary risk assessment method discussed offers a potentially paradigm-shifting approach to identifying potential areas of concern in a product during the early stages of design when risk mitigation is least expensive.}, keywords = {risk assessments,conceptual design phase,Risk in Early Design,paradigm-shifting approach}, url = {https://www.jise.ir/article_3973.html}, eprint = {https://www.jise.ir/article_3973_2f379ec800bee42544687b5b0ed9f588.pdf} } @article { author = {Fallah-Alipour, Kaveh and Shamsi, Ramin}, title = {A Mathematical Model for Cell Formation in CMS Using Sequence Data}, journal = {Journal of Industrial and Systems Engineering}, volume = {2}, number = {2}, pages = {144-153}, year = {2008}, publisher = {Iranian Institute of Industrial Engineering}, issn = {1735-8272}, eissn = {2717-3380}, doi = {}, abstract = {Cell formation problem in Cellular Manufacturing System (CMS) design has derived the attention of researchers for more than three decades. However, use of sequence data for cell formation has been the least investigated area. Sequence data provides valuable information about the flow patterns of various jobs in a manufacturing system. This paper presents a new mathematical model to solve a cell formation problem based on sequence data in CMS. The objective is to minimize the total costs of inter and intra-cell movements. This model depends on the attitude of the decision maker towards the minimum utilization level of each cell in such a way that the part-machine grouping can be changed significantly. A number of examples from the literature are solved by the LINGO software package to validate and verify the proposed model. Finally, computational results are reported and analyzed.}, keywords = {Cell formation,CMS,Intra/inter-cell movement,mathematical model,Cell utilization}, url = {https://www.jise.ir/article_3974.html}, eprint = {https://www.jise.ir/article_3974_9fd0566fe2f492687e78e55c510f44ea.pdf} } @article { author = {Jolai, Fariborz and Aghdaghi, Mehdi}, title = {A Goal Programming Model for Single Vehicle Routing Problem with Multiple Routes}, journal = {Journal of Industrial and Systems Engineering}, volume = {2}, number = {2}, pages = {154-163}, year = {2008}, publisher = {Iranian Institute of Industrial Engineering}, issn = {1735-8272}, eissn = {2717-3380}, doi = {}, abstract = {The single vehicle routing problem with multiple routes is a variant of the vehicle routing problem where the vehicle can be dispatched to several routes during its workday to serve a number of customers. In this paper we propose a goal programming model for multi-objective single vehicle routing problem with time windows and multiple routes. To solve the model, we present a heuristic method which exploits an elementary Shortest Path Algorithm with Resource Constraints. Computational results of the proposed algorithm are discussed.}, keywords = {Single vehicle,Routing problem,Multiple routes,time windows,Goal programming}, url = {https://www.jise.ir/article_3975.html}, eprint = {https://www.jise.ir/article_3975_68efe34bf174c93c039f32f1caba9be9.pdf} }