نشریه مدیریت مهندسی و رایانش نرم
سال سوم شماره 1 (پیاپی 4، بهار و تابستان 1396)

This article aims to present a novel neural network observer-based approach in order to estimate the state variables of the nonlinear dynamical system of chronic myelogenous leukemia (CML), specially the number of the infected cells. For this purpose, a two-layer feed forward neural network was applied. The weights of both layers are considered variables, depending on time. In order to adjust the neural network weights, the error back propagation learning algorithm was implemented. First of all, in this algorithm, the system outputs are generated according to random weights. Then the error is calculated and propagated back to the network and the weights are updated. This loop is executed until the error asymptotically converges to a small neighbourhood of zero. The better performance of a neural observer would be apparent in comparison with a classical high gain observer. Applying this method for estimating the state variables of cell dynamics results in a reduction in the number of tests and the required samples, which will consequently reduce costs and prevent wasting leukemic patients’ time.

Today, the supply chain and evaluating its costs are of great significance. The number of layers of the supply chain and the structure of the interactions between these layers can play an important role in achieving the optimal performance of the supply chain. Besides, it is undeniable that service provision and product transportation from a chain layer to the next one do not take the same amount of time because due to different reasons such as transportation challenges, there would always be the possibility that transportation doesn’t go as planned. Therefore, by proposing a multi-purpose model, this study seeks to maximize the profit and the quality of the products transported through the supply chain, as well as minimizing the total delivery time. After presenting the model, it is solved by applying deterministic algorithms using GAMS software, and also NSGAII and MOIWO non-deterministic meta-heuristic algorithms using proper software. Then, these two solutions are compared with each other. Results indicate that MOIWO meta-heuristic algorithm is superior to NSGAII in all indicators except for the NPS indicator.

Among the most important unrealistic assumptions of EOQ model is the perfect quality of items received in stock. Trying to overcome this constraint and making the mentioned model get closer to real circumstances, this paper considers destructive inspections and the existence of imperfect and rejected items after reworking. EOQ is determined under three following conditions: 1- rejecting the imperfect and reworkable items after the inspection 2-keeping the aforementioned items until the end of the inspection period, and 3- keeping these items until the end of the cycle. Results show that using the traditional model instead of the modified new model will lead to increased costs. In other words, with an increase in total proportions of imperfect and reworkable items, EOQ and the total cost per unit of time will increase. A numerical example is solved to evaluate the results.

One of the new concepts in the field of marketing that was developed after the traditional marketing is relationship marketing. Considering the mutual benefits of both parties (service providers and customers), service organizations such as banks and financial institutions can implement relationship marketing tools and tactics, in order to establish and maintain a long-term relationship with their customers that can help enhance brand equity. The current study discusses the impact of the dimensions of relationship marketing including trust, empathy, bonding, shared values, reciprocity and communication on brand equity consisting of brand loyalty, perceived quality and brand image. This study is an applied research regarding its objectives. Considering the data collection method, it is a descriptive survey which uses structural equation modelling. The statistical population of this researchconsists of the customers of Hekmat Iranian Bank in Tehran. The customers are those who have active accounts in Hekmat Iranian Bank (current and savings accounts). A total number of 390 questionnaires were distributed in order to collect data. The collected information were analysed using SPSS and AMOS 23. The results indicate that trust, empathy, reciprocity and communication have a significant positive effect on banks’ brand equity. Moreover, the results show that shared values and bonding do not have a positive significant effect on banks’ brand equity.

Student dormitories, as second homes for students, are of great importance. The purpose of the current research is to identify and rank the effective and important factors in providing an appropriate dormitory regarding the welfare of students. The effective factors are prioritized by comparing analytical network process and DEMATEL methods. This case study is conducted in dormitories of the University of Qom. In the current study, the data was collected through interviews and questionnaires filled out by officials and experts, according to which 17 criteria were selected as the basic criteria. Finally, 11 criteria were chosen as the key criteria by the experts. The results show that among the indicators and criteria studied, the management of dormitoy buildings and discipline are high priorities according to both methods. According to ANP analysis dormitory buildings accessing each other and according to DEMATEL analysis welfare services within the dormitory play the most important roles in improving the quality of a dormitory.

The process of organizational knowledge creation is affected by various individual (attitudes and motivation) and organizational factors (Organizational culture, leadership style and organizational structure). The process of knowledge creation requires people (attitude and motivation) and collaborative atmosphere (the desired organizational climate). Organizational climate and individual characteristics are two major factors to improve organizational performance. In the previous studies, the effects of organizational climate, and those of motivation and attitude on organizational performance have been investigated separately. This study has investigated the simultaneous effects of these two variables on organizational performance, as well as the mediating role of the process of organizational knowledge creation and is considered creative with this regard. This research is a descriptive coorelational study, in which structural equation modeling (SEM) is used. Data collection was done using questionnaires. In order to assess the reliability of questionnaires, Cronbach's alpha has been calculated. The results show that organizational climate and individual characteristics have a positive and significant effect on the process of knowledge creation. In addition, the process of organizational knowledge creation, as a mediator variable, has a significant role in the influenceability of organizational climate and individual characteristics in organizational performance.