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List of Articles
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Open Access Article
1 - Multiple Dependent States Repetitive Sampling Control Chart for Monitoring Rayleigh Distributed Data
Srinivasa Rao Gadde Olatunde Adebayo AdeotiAn attribute control chart for Rayleigh distribution based on the multiple dependent state repetitive sampling (MDSRS) is developed in this paper. The performance of the proposed chart is evaluated in terms of average run length for the design of the proposed chart. Fur MoreAn attribute control chart for Rayleigh distribution based on the multiple dependent state repetitive sampling (MDSRS) is developed in this paper. The performance of the proposed chart is evaluated in terms of average run length for the design of the proposed chart. Furthermore, the control chart constants for instance test time multiplier; inner and outer control limits coefficients are determined by considering the process in-control average run length (ARL) in support of different sample sizes. The efficiency of the proposed chart is compared with some competing control charts using other sampling methods such as single sampling (SS), multiple dependent states (MDS) and repetitive sampling (RS). The application of the proposed chart is illustrated using simulated data, which showed the superiority of the proposed chart as compared to the competing charts. Based on the ARL performance of the proposed chart and the application example, it is recommended that the process engineers use the proposed chart when monitoring the number of failed products that follow the Rayleigh distribution. Manuscript profile -
Open Access Article
2 - Identifying the challenges of implementing the integrated project delivery method (IPD) in large residential projects in Iran
Seyed Azim Hosseini Mitra Rahkhoday BadraniIn this paper, integrated project delivery is used as an innovative project delivery system instead of the traditional method to address productivity issues in the construction industry, risk/reward sharing and delay in architecture, engineering and construction industr MoreIn this paper, integrated project delivery is used as an innovative project delivery system instead of the traditional method to address productivity issues in the construction industry, risk/reward sharing and delay in architecture, engineering and construction industry. The payment of interest to the parties is subject to the completion of all project activities. For this purpose, by using the qualitative technique, we have identified the challenges of implementing the above method in Iran. Data were collected by interviewing 18 people, all of whom were managers and experts in construction projects and contracts. The results of the analysis of the received information indicated 31 challenges for the implementation of IPD contracts. Based on the results of the research, the challenges were divided into four categories of legal contractual principles, structural principles, behavioral principles and technological principles in applying the integrated project delivery method in large residential projects in Iran. Likewise, the scale provides information that could be used by those managers wishing to improve productivity issues in their firms. In addition, the results show that the IPD has a positive impact on construction industry. Manuscript profile -
Open Access Article
3 - Inventory Management of Automotive Industries using ABC Analysis: A Systematic Approach
Gireesh Kumar Rajat Nebhnani Richa SharmaIn any business, it is important to ensure that appropriate amounts of stock are maintained to be able to meet customer demand without delay while keeping holding costs to a minimum. This requires the use of various inventory control techniques. ABC analysis is one such MoreIn any business, it is important to ensure that appropriate amounts of stock are maintained to be able to meet customer demand without delay while keeping holding costs to a minimum. This requires the use of various inventory control techniques. ABC analysis is one such approach for implementing control on the inventory levels of various items by classifying them based on their consumption values. Consumption value indicates the total value of any product consumed over a specified time period, for example a year. This approach is based on the Pareto principle, which is widely known as the 80/20 rule. It is observed that categorizing of inventory using ABC analysis provides better control over high-value inventory, which in turn improves its availability and reduces losses and costs. In this case study, two major product categories of an automotive component manufacturer (Spark Minda, Ashok Minda Group) are considered for ABC analysis and an optimized inventory categorization pattern is suggested according to the results. Manuscript profile -
Open Access Article
4 - Performance assessment of a complex repairable system with k-out-of-n: G operational scheme and copula repair approach
Dhruv Raghav Suresh Sahani Vijay Singh Shakeeludeen ChaudharyThe present study is a complex system with three subsystems connected in a series configuration. The first subsystem has n identical units and is ascribed to be operable by a k-out-of-n: G scheme, and the second subsystem, which has three indistinguishable parts, is cap MoreThe present study is a complex system with three subsystems connected in a series configuration. The first subsystem has n identical units and is ascribed to be operable by a k-out-of-n: G scheme, and the second subsystem, which has three indistinguishable parts, is capable of being operational if at least two of them are operable. The third subsystem has an independent unit and all subsystems are connected in a series in the sequence of subsystem 1, subsystem 2, and subsystem 3. The units of subsystem 1 and subsystem 2 are controlled by the auto changeover switches and the switch failure led to the complete failed state. The units' failure rates of subsystems are constant and follow an exponential distribution, however, there are two types of repair facilities: general and copula repair. Minor repair dealt with the general repair but complete failure needs copula repair. Traditional reliability measures have been studied for different values of failure and repair through supplementary variable and copula approaches. Manuscript profile -
Open Access Article
5 - Analysis of the performance of different classifiers in solving the credit risk scoring problem with noisy and clean data
Reza Yousefi Zenouz Fatemeh Atapour MashhadCredit risk scoring is an important issue in the real business world. There are many different classifiers available to address this issue, but the determinant factor in evaluating a classifier's performance is its accuracy level. This factor becomes even more crucial w MoreCredit risk scoring is an important issue in the real business world. There are many different classifiers available to address this issue, but the determinant factor in evaluating a classifier's performance is its accuracy level. This factor becomes even more crucial when dealing with noisy data. In this paper, we aim to utilize a unique approach to construct 11 new classifiers by combining various non-parametric methods. These new classifiers complement each other's shortcomings, leading to improved performance and subsequently, higher accuracy rates. Enhancing classifier performance directly impacts the profits of banks and financial institutions that utilize them. This study also investigates the question of whether the number of classifiers is more effective or if their accuracy levels are more critical in building combined classifiers. The single classifiers used in these combinations include K-nearest neighbor, Support Vector Machine, Multi-layer Perceptron, and Decision Tree. Furthermore, all the combined classifiers are compared with two types of ensembles in terms of accuracy rate and robustness at different noise levels. We utilized a standard dataset from the UCI database for our analysis. All results have been compared using the Wilcoxon signed rank test. The findings indicate that ensembles, especially RobustBoost, outperform both multiples and single classifiers in terms of both accuracy rate and robustness. Additionally, multiple classifiers are generally better than single ones. Moreover, the results highlight that in building multiple classifiers, the accuracy rate and robustness of each building block are more important than the number of components used. Manuscript profile -
Open Access Article
6 - Neurological Measurement of Human Trust in Automation Using Electroencephalogram
seeung oh Younho Seong Sun Yi Sangsung ParkIn modern society, automation is complex enough to perform advanced tasks. The role of the human operator to control and monitor complex automations is crucial to avoid failure, to reduce risk, and to prevent unpredictable situations. Measuring the human operators&rsquo MoreIn modern society, automation is complex enough to perform advanced tasks. The role of the human operator to control and monitor complex automations is crucial to avoid failure, to reduce risk, and to prevent unpredictable situations. Measuring the human operators’ level of trust is crucial in predicting their acceptance and reliance on the automation. This research used an electroencephalogram (EEG) as a neurological measure to identify specific brainwaves in situations of trust and mistrust in automation. Power spectrum analysis was used for brainwave analysis. The results indicate that the power of alpha and beta waves was stronger for the trust situation; whereas, the power of gamma waves was stronger for the mistrust situation. When the level of human trust in automation increases, the use of an automatic control increases. Therefore, the findings of this research will contribute to defining how trust in automation affects the human operator’s monitoring, decision-making, and overall performance. Manuscript profile -
Open Access Article
7 - SAFETY STRATEGY ALLOCATION SIMULATOR FOR ACCIDENT REDUCTION AND COST SAVINGS IN SAFETY MANAGEMENT SYSTEM
Abiola AjayeobaAccidents happen and they upset the normal functioning of any organization causing real damage to persons, equipment, and loss of revenue. To mitigate these problems, safety performance metrics, and system dynamics have been implemented widely to solve the challenges of MoreAccidents happen and they upset the normal functioning of any organization causing real damage to persons, equipment, and loss of revenue. To mitigate these problems, safety performance metrics, and system dynamics have been implemented widely to solve the challenges of delays, feedback, and nonlinearity. A mathematical description of the relationships among the identified variables coupled with computer modeling was used to develop the Computer Programme Simulator (CPS) using MATLAB to code the dynamic relationship of the manufacturing safety system to determine accident prevention strategies.The safety dynamic equations were subsequently computed and this was followed by the processes of model application and experimentation. The results of the study showed that parameters such as “the constants”, “initial state variables”, “graphs to plot”, “export graph” and “export table” allows the user plug the desired variables into the CPS and provide data on the number of accidents to be reduced after the selection of the appropriate strategy. The first successful simulation of the CPS also produced a P = 60% and T = 10% reduction in the number of factory accidents. This study concluded that the CPS interactive interface which was developed serves as a useful tool for predicting, preventing, and even reducing factory accidents and makes safety management systems easy. The outputs of all the simulations also revealed that the reduction of accidents and the cost of accidents in all the values of the proportion of available budget and desired accident reduction target computed are practicable. Manuscript profile -
Open Access Article
8 - Designing a Dynamic Model of Banking Services Sustainable Supply Chain Management Using System Dynamics (Case Study: Mehr Iran Bank)
Mitra Khoshnevis Farshad Faezy Razi kiamars Fathi HafshejaniMany service provider organizations have begun redesigning their strategies with a sustainable development approach. On their path toward providing sustainable banking services, banks are focused on redesigning banking services supply chain strategies. Nevertheless, ban MoreMany service provider organizations have begun redesigning their strategies with a sustainable development approach. On their path toward providing sustainable banking services, banks are focused on redesigning banking services supply chain strategies. Nevertheless, banking services supply chain sustainability policy-making has received less inclusive, holistic and systemic attention. This study modeled and simulated banking services sustainable supply chain management using system dynamics approach in order to identify complexities and propose banking system sustainability policies. To this end, a banking service supply chain dynamic model was designed using data from Mehr Iran Bank, and after validation, simulation was conducted over a 10-year horizon. Considering the behavior of the variables and the sensitivity analysis of the model, some policies were identified in line with banking services supply chain sustainability, including economic, social, and environmental sustainability. Given the findings of the model simulation, the selected integrative policies were as follows: 1. Managing bank expenses through providing organizational agility; 2. Increasing efficiency of customer validation process and bank loan services monitoring; 3. Increasing commission incomes on banking services by allocating resources to development of electronic banking infrastructure; 4. Fulfilling employee empowerment and training programs; 5. Balancing the number of employees based on per capita payroll in a branch; 6. Increasing electronic services in order to improve accessibility to the bank; 7. Properly locating branches and ATMs; and 8. Raising customer awareness and promoting electronic services. Manuscript profile
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