تصمیم گیری و تحقیق در عملیات

Ayandegan Institute of Higher Education · Department of Research Center and Industrial Engineering

This paper considers multi-period serial production systems with Periodic order quantity (POQ) policy, lead-time uncertainties and demand dependent to the price. It is assumed that actual lead-time for each stage is probabilistic with known distribution and ordering system is multi-period. During the production at each stage, the items may be produ...

Energy consumption considerations in production systems have recently attracted the attention of researchers. In conventional production scheduling models the importance has more often been given to time-related rather than to energy-related performance measures. In this paper we simultaneously consider energy consumption, completion time and tardi...

In the real world, the diffusion of some contagions at the same time on the social network is very important. Due to a large number of contagions that have been diffused on a social network at the same time, in order to reduce the model parameters and also being scalable, the contagions have been grouped and clustered and also all the clusters have...

In managing a project, reliable prediction is an essential element for success. Project managers are always looking for controlling their projects to make sure the the project is within acceptable limits. For a long time, the earned value management (EVM) for pursuing time performance and the cost of the project has been used. However, using this m...

Todays, meeting the healthcare needs of patients at home has many benefits. By providing regular and timely healthcare servicing, in addition to reducing costs, the patient's recovery process also speeds up. In this paper, a multi-depot vehicle routing problem is considered with regard to time windows and fuzzy demands. This paper attempts to optim...

In recent decades, as a result of the global economic growth and the development of investment, extensive researches have been carried out in the field of ranking companies, Data Envelopment analysis (DEA) and Analytical Hierarchy Process (AHP ) are the most important methods in this field, However, perhaps the most notable method is DEA/AHP which...

Industrial activities on the environment, have led to many environmental problems, including earth warming, destruction of ozone layer and increase of greenhouse gases. Manufacturing companies to stay in the market and also gain competitive advantage need to pay attention to environmental issues. Customer’s request and also some government regulati...

In this paper, a multi-commodity planning problem with fixed-cost that is a special type of fixed charge transportation problem is developed. The proposed model determines the number of products in the existing routes with the aim of minimizing the total cost to satisfy the demand of each customer. As the problem is NP-hard, a moderate-sized instan...

When dealing with international and overseas markets, corporate executives face somewhat complex strategic tasks related to the risk, stability, and potential returns of markets in the world. Selection from various international markets for export, concessions, joint venture and ... needs information from the country and the target market. The eval...

Data Envelopment Analysis (DEA) is a method based on linear programming to measure the efficiency of Decision-Making Units (DMU). In classic models of DEA, the whole system had been usually considered as a Decision-Making Units to evaluate respective efficiency and it is also ignored the separate processes inside the system. Whereas, the internal r...

The Islamic Revolution in Iran, always seeking a real Islamic society, has been a community centered on justice, progress and spirituality. To achieve this goal, a great deal of programs and policies have been developed and implemented. The general policies of resilient economies are the continuation and completion of past policies to achieve these...

This article shows that Operations research techniques play an important role in the development researches of financial and investment, and in recent years, with significant improvements in terms of the availability of real-time data and the speed of computer, this role has increased and in line with it by creating more opportunities for these tec...

Since much of human reasoning is based on imprecise, vague and subjective values, most of the decision-making processing, in reality, requires handling and evaluation of fuzzy numbers. Ranking fuzzy numbers are one of the very important research topics in fuzzy set theory because it is a base of decision-making in applications. Although so far, man...

Inverse parabolic problems are the most famous ill-posed problems‎. ‎Thus using stable inexact numerical methods for approximating these problems‎, ‎causes a large perturbation‎. ‎In this paper‎, ‎we study the problem of determining the source term of the inverse source problem‎ [{partial _t}T(x,t) = kappa ,{nabla ^2}T(x,t) + g(t)delta (x - {x^*})...

In this paper, A innovative method designed for solving nonlinear optimization problems with convex object function and constrained. In this method, we define a cost function and we find variables to the minimization of the cost function. For creating properly cost function we use K. K. T. optimal conditions. We used Nelder-Mead without derivative...

One of the problems in portfolio selection is choosing a stock with conflicting and incomparable objectives such as return and risk. DEA cross efficiency is one of the most useful tools in assessing performance and prioritize a number of firms that makes it possible to determine efficient units in portfolio selection from different industries. Alth...

The extent to which the goals are achieved through the measurement of performance, as well as the efficiency and effectiveness of each organization, are the principles of organization's dynamism. Therefore, current research has focused on the prioritization of public indicators of performance evaluation of Mazandaran province's employee through the...

Among various applications of time series, applying this concept in production industries with the intention of pre-detecting failure times of machines and implementing maintenance tasks, is considered as one of the most valuable activities in the automotive industries. With this regard, this article embarks on applying time series analysis as well...

Facility location problems are among the important operation research and management problems. Locating storehouses, hospitals, rescue-relief stations, military bases, bank branches, etc are some of its famous applications. The aim of solving such problems is to determine the best location for the facilities to ensure their maximum efficiency to pr...

Value at risk and expected shortfall are the two most popular measures for calculating financial risk. To calculate these measures (Value at risk and expected shortfall) there are many approaches, which can be divided into two main categories; parametric and non-parametric. In the parametric approach, it is supposed that the distribution of asset r...

This paper presents a methodology for detecting and classifying the errors occurring on smart power transmission lines. In the proposed method, the voltage and current phases are estimated by the phasor measurement unit (PMU) installed in the generator bus, and then the equivalent voltage and current angles are obtained. These angles are analyzed b...

Understanding behavioral accounting has a lot to do with studying human aspects of finance. This is because the research focuses on users of financial reports and their characteristics often assumes that financial information is in impartial, non-discriminatory and worthless. However, the information that investors and stakeholders in the capital m...

One of the important issues that researchers and scientists face in the area of decision making and Predicting are choosing the variables that influence decision output and prediction. Therefore, if you can predict stock returns with appropriate variables and provide models for it, there will actually be more secure conditions in the capital market...

Financial distress analysis is an important phenomenon for financiers, creditors and those who use financial data. Predicting the possibility of a company’s distress is an interesting issue and is beneficial for managers, investors and creditors. This study localizes a method to identify the distressed companies in three levels, using the data of 1...

Determining the best combination of corporate resources or capital structure is one of the most important issues that financial managers must consider to maximize shareholder wealth; combination of financial resources with characteristics such as low cost of capital can produce higher yields, and its claimed that optimal capital structure can incre...

Quality loss function is common techniques in robust design terminology that consider the deviation of output from ideal point and variability as well. Mostly in practice, processes are affected by external uncontrollable factors that causes output of process to be far from ideal points with variability around its exact value. In this research, the...

The strategy is most resources for organizational long term improvement and if it doesn’t deployment successfully, this process is ineffective even if appropriate strategies are released. The most stage in strategic deployment is resource allocation for implementation of strategic initiatives. With regard to resource restriction in the deployment o...

In today’s highly competitive business environment, which is known by characteristics of low profitability, high customer expectations for high-quality products and minimum waiting time, make companies efforts to transform constraints into opportunities for gaining competitive advantage by optimizing their business processes. In such a situation, a...

The present research is aimed at predicting the beta coefficient (systematic risk) prediction dynamics within the framework of two macroeconomic structural models, the model in the framework of Dynamic stochastic general equilibrium (DSGE) and Panel Vector Autoregressive (PVAR) with the inclusion of financial data of companies and Some of the facts...

Image segmentation is one of the fundamental problems in the image processing, which identifies the objects and other structures in the image. One of the widely used methods for image segmentation is image thresholding that can separate pixels based on the specified thresholds. Otsu method calculates the thresholds to divide two or multiple classes...

Data Envelopment Analysis (DEA) is a mathematical model that evaluates the relative efficiency of Decision Making Units (DMUs). The purpose of this paper was systematic study of applying this technique in Iran Banking System. In this systematic review that was conducted in September 2017, initially by searching keywords in scientific databases attem...

Deviation between raw estimation of size, time, and cost of projects and real amount of them after execution projects, will lead to several difficulties for contractors. This fact demonstrates an essential to apply scientific methods to increase accuracy of the early estimations. There are several approaches to calculate cost of projects and one of...

Nonlinear dynamical systems modeling is one of the real challenges of the real world due to the nonlinear and variable nature of time. In this paperAn Online Self-organizing Takagi-SugenoNeuro-Fuzzy System(OSO-NFS) for dynamic Nonlinear System Identification is proposed. OSO-NFS is built based on radial basis function(RBF). The algorithm has the ab...

In recent decades, the theory of robust optimization has been introduced as a powerful tool for optimizing uncertain processes. Regarding the Uncertainty of the glycemic load of consumed food, the main purpose of this article is to provide an optimal Iranian diet using a robust optimization to adjust the glycemic load in patients with type 2 diabet...

Proper selection of suppliers and effective management of relationships with them is a key factor in increasing the competitiveness of companies. In order to implement this philosophy, the supplier's choice in the supply chain is considered as an important issue and leads decision makers to use valid techniques and methods to select the supplier. C...

One of the problems of based models on data envelopment analysis (DEA) for ranking preference voting systems is that it allows each alternative to having its own weight vector. Therefore, alternatives are evaluated with different weight vectors. In this study, we propose a model based on fuzzy logic to solve the weaknesses of the previous models. T...

Quadratic programming problem is one of the important problems of classic optimization problems that the aim is to find the maximum or minimum amount of a quadratic function under linear constraints. In this paper, the quadratic programming problem where its parameters are all nonnegative fuzzy numbers is discussed and a new algorithm based on fuzz...

Background and Aim: The present study, with an emphasis on the fundamental and critical importance of the Green Approach in the organization's marketing strategies, is interested in a scientific and practical response to this research question, which "The effect of green marketing strategies on performance through knowledge creation parameters?". M...

Healthcare supply chain management, is one of the interesting topics for researchers in recent years. In the event of natural disasters and the creation of crisis situations, healthcare supply chain plays a very important and effective role in reducing fatalities and injuries, and ultimately save the lives of victims. So matters the integration of...

Newton's method, which is also known as the Newton Raphson algorithm, as one of the most efficient numerical methods in mathematics, are known as a method and approach for the root approximation of nonlinear equations. After reviewing and interpretation of this method, one of the most widely used in the statistics, i.e. estimation of the unknown pa...

There are numerous models for solving the efficiency evaluation in data envelopment analysis (DEA) with fuzzy input and output data. However, because of the limitation of those strategies, they cannot be implemented for solving fully fuzzy DEA (FFDEA). Furthermore, in real-world problems with imprecise data, fuzziness is not sufficient to consider,...