فهرست مطالب

International Journal of Industrial Engineering and Productional Research
Volume:32 Issue: 1, Mar 2021

  • تاریخ انتشار: 1399/11/11
  • تعداد عناوین: 12
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  • Rassoul Noorossana*, Somayeh Khalili Pages 1-11

    In the last few decades, profile monitoring in univariate and multivariate environment has drawn a considerable attention in the area of statistical process control. In multivariate profile monitoring, it is required to relate more than one response variable to one or more explanatory variables. In this paper, the multivariate multiple linear profile monitoring problem is addressed under the assumption of existing autocorrelation among observations. Multivariate linear mixed model (MLMM) is proposed to account for the autocorrelation between profiles. Then two control charts in addition to a combined method are applied to monitor the profiles in phase II. Finally, the performance of the presented method is assessed in terms of average run length (ARL). The simulation results demonstrate that the proposed control charts have appropriate performance in signaling out-of-control conditions.

    Keywords: Average run length (ARL), multivariate exponential weighted moving average covariance (MEWMC) chart, multivariate linear mixed model (MLMM), within profile correlation, multivariate multiple linear regression profiles, phase II
  • Sajjad Aslani Khiavi, Hamid Khaloozadeh*, Fahimeh Soltanian Pages 13-27

    In this paper, discrete time dynamic model for four-level supply chain system, including factory, wholesaler, retailer, and customer is designed with a recovery center as recycling hybrid channels. Due to the lack of coordination of the chain level and the unhealthy exchange of information in the system, almost all supply chains dynamic involving the stochastic noise. For the first time, in this paper, we proved that stochastic noise lead to the bullwhip effect and we mitigated this phenomenon with control theory. Also, we investigate the effects of the lead time, the various forecasting methods, and aggressive ordering on the bullwhip effect. In order to mitigate the bullwhip effect, we propose Kalman filter method. So, using linear quadratic Gaussian controller, not only effect of bullwhip was adjusted but, also the system become stable. Eventually, the simulation results in Meshkin match factory, indicate the efficiency of the proposed method.

    Keywords: Supply Chain, Hybrid Recycling Channels, Bullwhip Effect, Kalman Filter, LQG
  • Fatemeh Elhambakhsh, Mohammad Saidi- Mehrabad* Pages 29-36

    Statistical monitoring of dynamic networks is a major topic of interest in complex social systems. Many researches have been conducted on modeling and monitoring dynamic social networks. This article proposes a new methodology for modeling and monitoring dynamic social networks for quick detection of temporal anomalies in network structures using latent variables. The key idea behind our proposed methodology is to determine the importance of latent variables in creating edges between nodes as well as observed covariates. First, latent space model (LSM) is used to model dynamic networks. Vector of parameters in LSM model are monitored through multivariate control charts in order to detect changes in different network sizes. Experiments on simulated social network monitoring demonstrate that our surveillance monitoring strategy can effectively detect abrupt changes between actors in dynamic networks using latent variables.

    Keywords: Latent space models, dynamic networks, anomaly detection, average run length (ARL), network surveillance
  • Parham Azimi*, Shahed Sholekar Pages 37-45

    According to the real projects’ data, activity durations are affected by numerous parameters. In this research, we have developed a multi-resource multi objective multi-mode resource constrained scheduling problem with stochastic durations where the mean and the standard deviation of activity durations are related to the mode in which each activity is performed. The objective functions of model were to minimize the net present value and makespan of the project. A simulation-based optimization approach was used to handle the problem with several stochastic events. This feature helped us to find several solutions quickly while there was no need to take simplification assumptions. To test the efficiency of the proposed algorithm, several test problems were taken from the PSPLIB directory and solved. The results show the efficiency of the proposed algorithm both in quality of the solutions and the speed.

    Keywords: Simulation-based Optimization, Resource constraints Project scheduling, Multi-objective, Multi-modes
  • Hessam Nedaei, Seyed Gholamreza Jalali Naini*, Ahmad Makui Pages 47-64

    Data envelopment analysis (DEA) measures the relative efficiency of decision-making units (DMU) with multiple inputs and multiple outputs. In the case of considering a working team as a DMU, it often comprises multiple positions with several employees. However, there is no method to measure the efficiency of employees individually taking account the effect of teammates. This paper presents a model to measure the efficiency of employees in a way that they are fairly evaluated regarding their teammates’ relative performances. Moreover, the learning expectations and the effect of learning lost due to operation breaks are incorporated into the DEA model. This model is thus able to rank the employees working in each position that can then be utilized within award systems. The capabilities of the proposed model are then explored by a case study of 20 wells with 160 distinct operations in the South Pars gas field, which is the first application of DEA in the oil and gas wells drilling performance analysis.

    Keywords: Data envelopment analysis, teammate efficiency, learning, Oil, gas, Drilling
  • Mangesh Phate*, Shraddha Toney, Vikas Phate Pages 65-77

    Supply chain management (SCM) is very well known efficient and effective managerial tool to check and analyze the performance of any enterprises. In the present work, efforts have taken to analyze and optimize the performance of small & medium enterprise (SME) in Pune region India. For this purpose a SCM based framework is prepared to get the realistic data from the industries through the questionnaire prepared on the basic of literature and the expert opinions. After finalizing the effective framework fitted to the various enterprises, a data in the pointer scale has been collected from the various stakeholders of the enterprises. The grey relational analysis (GRA), a multi-response optimization tool has been effectively used for getting the optimize result which will help the enterprises to plan the strategies for the betterment of the enterprises. Optimum results were implemented in the other enterprises. The responses were measured and compare with the optimum solution. From the responses, it has been observed that there is a significant enhancement in the response level of the other enterprises. Thus the SCM was effectively used for enhancing the performance of the SMEs in the region.

    Keywords: Grey relational analysis, Grey relational grade, Optimization, Performance, Supply chain management, Small, Medium enterprise
  • Louiza Dehyadegari*, Somayeh Khajehasani Pages 79-91

    In this paper, a multivariable control of a two-link robot is performed by fuzzy-sliding mode control. Robots on the one hand have complex dynamics due to nonlinearity, uncertainty and indeterminacy resulting from friction and other factors. The uncertainty and nonlinearity of the governing equations more and more necessitates the use of these two types of controllers in spite of a two-link and multivariable dynamic system. In this paper simulation, a fuzzy system is used in two parts. In the first part, a fuzzy system is used to approximate the uncertainty of the robot arm dynamic model in the control law and in the second part the nonlinear term of the signal function is replaced by an adaptive neuro-fuzzy controller to produce appropriate s and to track the output properly. The comparison of simulation results suggests that the intelligent method based on the proposed adaptive neuro-fuzzy control has better performance in tracking reference signal with slight tracking error and higher accuracy compared to sliding mode method.

    Keywords: Two-link robot, Track of robot arm angles, Robot arm angles derivatives, Neuro-fuzzy controller, Sliding mode controller, Multivariable control
  • Bhanudas Bachchhav* Pages 93-103

    The present work aims to investigate Abrasive Water Jet Machining parameters for machining of Al-Al2O3 Metal Matrix Composite. Plan of experiments, based on Taguchi’s analysis technique were performed using L9 orthogonal array. A correlation was established between concentration of Al2O3, Stand-off distance, pressure and Transverse feed with Metal Removal Rate, Surface Roughness, Over-cut and Taper angle by regression analysis. On the basis of experimental results and S/N ratio analysis, ranking of the parameters has been done. The analysis of variance (ANOVA) has been used to find out the impact of individual parameters on response parameters. Al2O3 concentration plays a very significant role in determination of MRR and surface roughness. Also overcut is largely influenced by stand off distance. Furthermore,  multi-objective optimization can be carried out using advanced optimization techniques.  This work helped to generate technical database for industrial applications of MMC.

    Keywords: Al-Al2O3 MMC, AWJM, Taguchi Method, MRR, Surface Roughness, Taper, Over-cut
  • Mohammad Reza Zare Banadkouki*, Mohammad Mahdi Lotfi Pages 105-120

    In today’s world, manufacturing companies are required to integrate their sources with manufacturing systems and use novel technologies in order to survive in the competitive world market. In this context, computer integrated manufacturing (CIM) and its related technologies are taken as novel and efficient schemes; therefore, selecting the best technology among them has been a challenging issue. Such an investment decision is, in nature, a multi-attribute problem. In fact, manufacturing technologies have various advantages and disadvantages which need to be considered in order to choose the best one. In this paper, we briefly study the structure and goals of computer integrated manufacturing systems, the role of different sectors in traditional and modern manufacturing systems, and the effect of information communication on them. Then, various options regarding the implementation of an integrated computer manufacturing technology are introduced and a  combined model of the fuzzy analytical hierarchy process and fuzzy TOPSIS is proposed to handle the above-mentioned multiple criteria decision making problem. Finally, the considered options for manufacturing technologies are ranked using a numerical example.

    Keywords: Multi-objective decision making (MODM), Computer-integrated manufacturing (CIM), Fuzzy analytic hierarchy process (FAHP), Fuzzy TOPSIS
  • Farzaneh Paknejad, Seyed Hashem Mosaddad*, Hassan Sadeghi Naeini Pages 121-132

    Optimal consumption is known as a nowadays concern which is related to scientific improvement, development of technology, product design, design and development based on standards, proper distribution of resources and, consequently, advancement in other less considered areas. Considering marketing, people are persuaded to purchase and consume the products throughout the gamification principles, even if this is more than the users’ needs. This cross-sectional study focused on consumption patterns and gamification. The main objectives of this research was to provide a modified pattern of purchasing and consuming bread through persuading the families. This study was done by simulated gamification patterns and assessment of participants’ feedback. The data was collected through literature review and interviews from a sample consisting of 25 students in the primary school. The results showed that gamification as a main factor was an appropriate stimulus for persuading purchasing and consumption behavior modification. However, the addition of mechanics in a relationship is not enough per se; reinforcement is required to enhance the quality of the perceived experience.

    Keywords: persuasive design, gamification, consumption pattern, behavior modification
  • A.K.V.K Sasikanthr*, K. Samatha, N. Deshai, B.V.D.S Sekhar, S. Venkatramana Pages 133-141

    The Today’s digital world computations are tremendously difficult and always demands for essential requirements to significantly process and store enormous size of datasets for wide variety of applications. Since the volume of digital world data is enormous, this is mostly generated unstructured data with more velocity at beyond the limits and double day by day. In last decade, many organizations have been facing major problems to handling and process massive chunks of data, which could not be processed efficiently due to lack of enhancements on existing and conventional technologies. In this paper address, how to overcome these problems as efficiently by using the most recent and world primary powerful data processing tool, which is hadoop clean open source and one of the core component called Map Reduce, but which has few performance issues. This paper main goal is  address and overcome the limitations and weaknesses of Map Reduce with Apache Spark.

    Keywords: Big Data, Hadoop, HDFS, Map Reduce, Apache Spark, Processing
  • Abdelsalam Hamid* Pages 143-157

    Based on RBV Theory The study investigated the effect of Supply Chain integration (SCI) on medical sector Operational Performance (OP).  the data were collected from 307 managers out of 330 managers, by questionnaire, which adopted from previous studies and refined through experts’ interviews and the panel of judge. Statistical techniques such as descriptive statistics, correlation, and SEM were employed. The results of the study indicated a positive significant relationship between SCI and medical sector OP. The results also indicated that the managers in Medical Sector were almost similar in their preference of the customer integration and internal integration indicators. Furthermore, empirical results indicated that the interactions between the two components of SCI effect strongly on and OP. Results indicated that the internal integration was having the highest effect on OP, followed by customer.The study shows Theoretical and Practical implications. Theoretically the SCI require higher level of internal integration. Thus, for an institution to support the participation of partners it must create a suitable internal integration. Practically the full collaboration of participation and they integrate the firm internally and externally that should lead to high performance. Moreover, the study provided a suggestion for future research. Key Words: Supply Chain Integration (SCI), Internal Integration (II), Customer Integration (CI), Operational Performance (OP), (Medical Sector).

    Keywords: Supply Chain Integration (SCI), Internal Integration (II), Customer Integration (CI), Operational Performance (OP), (Medical Sector