Yazar "Yuzukirmizi, Mustafa" seçeneğine göre listele

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    A constraint programming approach to type-2 assembly line balancing problem with assignment restrictions
    (Emerald Group Publishing Ltd, 2019) Pinarbasi, Mehmet; Alakas, Haci Mehmet; Yuzukirmizi, Mustafa
    Purpose Main constraints for an assembly line balancing problem (ALBP) are cycle time/number of stations and task precedence relations. However, due to the technological and organizational limitations, several other restrictions can be encountered in real production systems. These restrictions are called as assignment restrictions and can be task assignment, station, resource and distance limitations. The purpose of the study is to evaluate the effects of these restrictions on ALBP using constraint programming (CP) model. Design/methodology/approach A novel CP model is proposed and compared to mixed-integer programming (MIP) as a benchmark. The objective is to minimize the cycle time for a given number of stations. The authors also provide explicit anthology of the assignment restriction effects on line efficiency, the solution quality and the computation time. Findings The proposed approach is verified with the literature test instances and a real-life problem from a furniture manufacturing company. Computational experiments show that, despite the fact that additional assignment restrictions are problematic in mathematical solutions, CP is a versatile exact solution alternative in modelling and the solution quality. Practical implications - Assembly line is a popular manufacturing system in the making of standardized high volume products. The problem of assembly line balancing is a crucial challenge in these settings and consists of assigning tasks to the stations by optimizing one or more objectives. Type-2 AR-ALBP is a specific case with the objective function of minimizing the cycle time for a given number of stations. It further assumes assignment restrictions that can be confronted due to the technological limitations or the strategic decisions of the company management. This is especially encountered in rebalancing lines. Originality/value Several solution approaches such as mathematical modelling, heuristic and meta-heuristic are proposed to solve the ALBP in the literature. In this study, a new approach has been presented using CP. Efficient models are developed for Type-2 ALBP with several assignment restrictions. Previous studies have not considered the problem to the presented extent. Furthermore, to the best of the authors' knowledge, the paper is the first study that solves ALBP with assignment restrictions using CP.
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    A constraint programming model for mixed model type 2 assembly line balancing problem
    (Pamukkale Univ, 2016) Alagas, Haci Mehmet; Pinarbasi, Mehmet; Yuzukirmizi, Mustafa; Toklu, Bilal
    This paper presents a new constraint programming model for mixed-model assembly line balancing problem. The proposed model minimizes the cycle time for a given number of stations. The proposed model is tested with literature problems and its performance is evaluated by comparing to mathematical model. Best obtained solution and elapsed CPU time are used as performance criteria. The experimental results show that the proposed constraint programming model performs well and can be used as an alternative modeling technique to solve the problem.
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    Constraint programming model for resource-constrained assembly line balancing problem
    (SPRINGER, 2020) Alakas, Haci Mehmet; Pinarbasi, Mehmet; Yuzukirmizi, Mustafa
    The literature studies assume that resources used to be perform the tasks are certain and homogenous in any assembly line. However, tasks may need to be processed by general resource requirements in real life. These general resources could be classified by usage of resources such as simple or multiple, alternative and concurrent. The problem which is related to assignment of the task to any workstation and assignment of resources needed by the task simultaneously is defined as resource-constrained assembly line balancing problems (RCALBPs). In this study, a multiobjective model with minimization of cycle time and resource usage for a given number of stations is modeled to solve the RCALBP for the first time. Alternative and general resource types for tasks and using more than two resource type requirements are also considered. A constraint programming model is developed and solved to find the optimal solutions of these problems. The proposed models are tested with sample scenarios to show the effectiveness of the model.
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    Design process model for flexible manufacturing systems and application of TAI
    (Gazi Univ, Fac Engineering Architecture, 2011) Pinarbasi, Mehmet; Yuzukirmizi, Mustafa
    In this paper, a systematic design process model is proposed to model Flexible Manufacturing Systems (FMS). Generally, FMS systems design is complicated and cost very high as installation phase. Therefore, technical analysis of system design should be exact and accurate even for the installation phase. At this stage, the proposed model is Integration Definition for Function Modeling (IDEF) diagram which is a structured design technique. Proposed model is exemplified with a practical example in TAI which is operating in the aerospace industry. The performance of the proposed model is analyzed using simulation and queueing network technique. In the performance analysis, test parameters are determined as service rates, number of servers, routing information and number of transporters and also performance parameters are determined cycle time and machine utilization.
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    Educational Computer Integrated Manufacturing (CIM) Labs in Turkey: A Field Study
    (Tempus Publications, 2010) Yuzukirmizi, Mustafa
    Constantly advancing technology is getting more rapid, integrated and flexible. Today's cutting-edge technology in manufacturing where the entire production process is controlled by computers is specified as a Computer Integrated Manufacturing (CIM) system which differs from traditional manufacturing technologies in processing, equipment and methodology. It is, therefore, important to educate potential engineers with the necessary skills required in today's technologically developed industry. In this study, CIM laboratory settings and applications in Turkish engineering education are surveyed in an investigation of the curricula used in these laboratories. In this context, the CIM curriculum in Kirikkale University is described. Improvement areas in CIM education and usage of laboratories are discussed. The overview of this curriculum will serve as a framework in curriculum design and give important ideas on improving the curriculum for institutions that already have CIM laboratory or are considering setting one up.
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    Integrated definition modeling and Taguchi analysis of flexible manufacturing systems: aircraft industry application
    (Springer London Ltd, 2013) Pinarbasi, Mehmet; Sel, Cagri; Alagas, Haci Mehmet; Yuzukirmizi, Mustafa
    In this paper, flexible manufacturing systems (FMS) are studied. Firstly, an FMS design approach is proposed using integrated definition for function methodology. A systematic layout design and performance evaluation scheme is presented and detailed using this modeling framework. Then, the proposed approach is carried out with a case study from an aircraft industry to convert an existing traditional production system to FMS. To improve the system performance, a simulation-based method with Taguchi approach consisting of multiproducts is utilized. The objective is to find the machine and the product mix that achieves the maximum utilization while minimizing the cycle time. FMS system performance has been greatly improved by determining the most advantageous level of system components. It has also shown that FMS is a practicable production system in aircraft industry.
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    Multivariate statistical methods for detection of spur gear faults
    (Sage Publications Ltd, 2015) Yuzukirmizi, Mustafa; Arslan, Hakan; Duman, Oznur
    In this study, multivariate statistical techniques are experimented for a spur gear system and a methodology is proposed. The approach is based on the analysis of multidimensional gear vibration data without any feature extradiction and data transformation. The scheme is performed using the vibration signals acquired from a lab-scale single stage gearbox in three dimensions of x, y and z directions. As a groundwork, multi-normality assumptions are established using homogeneity, autocorrelation, and univariate normality tests. The bi-dimensional frequency histograms are also plotted to show bi-normality for experimental gear data. Then, mean vectors and covariance matrices of conditions of good, worn, 1-tooth broken from wheel gear and 1-tooth broken from each pinion and wheel gear are estimated. To compare gear conditions statistically, multivariate analysis of variance is proposed and applied. Moreover, the single metric of Mahalanobis distances are calculated to classify unknown test samples, utilizing the maximum likelihood estimates. The numerical results indicate that multivariate statistical analysis techniques can be applied in early detection of spur gear faults, in which univariate tests fail.
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    Optimal buffer allocation in finite closed networks with multiple servers
    (Pergamon-Elsevier Science Ltd, 2008) Yuzukirmizi, Mustafa; Smith, J. MacGregor
    In this study, we present an optimal buffer allocation procedure for closed queueing networks with finite buffers. The performance measures are evaluated using the expanded mean value analysis, and the solution procedure is incorporated into a nonlinear optimization scheme to arrive at the sub-optimal buffer space vector. The effectiveness of the method is demonstrated through several numerical experiments. Discussions on convergence and computational complexity are also included. (C) 2007 Elsevier Ltd. All rights reserved.