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A Hybrid heuristic algorithm to Provide a Multi-objective fuzzy Supply Chain Model with a Passive Defense Approach

کلیدواژه: Supply chain,Sustainability,Passive defense,Multi-objective fuzzy optimization,Meta-heuristic algorithm

نویسندگان: Ayoughi Hamidreza, Dehghani Poudeh Hossein, Raad Abbas, Talebi Davood

ناشر: کنترل و بهینه سازی در ریاضیات کاربردی - CONTROL AND OPTIMIZATION IN APPLIED MATHEMATICS

In this paper, a stable multi-objective model of location, inventory, and Supply chain routing is presented under conditions of uncertainty and using a passive defense approach. Parameters such as demand, cost of setting up the facility and cost of maintaining inventory are considered uncertain and ... ادامه

سال:2022

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Multi-objective Portfolio Optimization Model with fuzzy-Robust Hybrid Approach (As a case:Tehran Stock Exchange)

کلیدواژه: portfolio, Multi-Objective optimization, Zimmermann fuzzy approach, Minimax regret, robustness

نویسندگان: Jaberi Mahsa, Mohammadi Emran, Azizi Amir

ناشر: بورس اوراق بهادار - JOURNAL OF SECURITIES EXCHANGE

The novel theory of the portfolio optimization has developed based on the fundamental Markowitz model. The Markowitz model is unique in terms of theory, but its weaknesses prevent the use of this model in practice. In this model, the return rate is extracted based on past data, but in this research,... ادامه

سال:2022

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A Hybrid fuzzy Multi-criteria Decision Making Model Based on fuzzy DEMATEL with fuzzy Analytical Network Process and Interpretative Structural Model for Prioritizing LARG Supply Chain Practices

کلیدواژه: LARG Supply Chain,LARG Practices,FDANP Technique,Interpretative Structural Model,Dairy Industries

نویسندگان: AKBARZADEH Z., Safaei Ghadikolaei A.H., MADHOUSHI M., AGHAJANI H.

ناشر: - International Journal of Engineering

In recent years, taking advantage of LARG Supply chain (SC) paradigm, a combination of four paradigms (clean, agile, resilience and green) has been increasingly employed. For capturing the advantages of LARG in SC, companies needed to recognize proper practices and implement them with appropriate pl... ادامه

سال:2019

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A Hybrid Data-Mining algorithm and DataDriven Supply Chain Modeling for Allocation Goods to Warehouses and Warehouse Service to Customers

کلیدواژه: Supply Chain,Warehouse Location,Data Mining,Warehouse Allocation,Clustering

نویسندگان: AHMADI SADRA, Yousefpour Reza

ناشر: چشم انداز مدیریت صنعتی - Industrial Management Perspective

In this research, the issue of product allocation in a situation that there are a large number customers and goods are various, is investigated. Expanding the level of Internet access and increasing the desire of online shopping, raise the number of customers. In a situation where there is a great v... ادامه

سال:2021

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A Hybrid Model Based on Multi-Attribute Decision Making and fuzzy Multi-objective Mathematical Programming for Stock Portfolio Evaluation and Selection Using Z-Number Approach

کلیدواژه: Multi-criteria Decision Making,Stocks Selection,Fuzzy AHP,Fuzzy Multi-objective Programming,Z-Number

نویسندگان: Kanaani A.H., Feylizadeh M.R., Hendalianpour A.

ناشر: تحقیق در عملیات در کاربردهای آن - Journal of Operational Research in its Applications

Selecting and creating a stock portfolio on the stock exchange is one of the most important competitive tools in this century. However, various types of research show that the success rate of stock selection and portfolio projects is not very high. Accordingly, it is necessary to pay special attenti... ادامه

سال:2023

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Investigating the Digital Experience of Internet Banking Users Using the heuristic Approach

کلیدواژه: User experience,usability,heuristics,website,design

نویسندگان: seyyedkobari banafsheh, KEIMASI MASOUD, ABEDI EHSAN, Hendijani Rosa

ناشر: مطالعات رفتار مصرف کننده - CONSUMER BEHAVIOR STUDIES

To diversify the channels of customer service in the banking system of Iran, including Internet banking, in order to provide consumers with easy and easy access to banking services, the Internet banking experience is a key factor in excellence in has become the current competitive environment. Hence... ادامه

سال:2019

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Performance Evaluation of a Hybrid ANFIS Model and Meta-heuristic algorithms in Optimal Operation of Dam Reservoir

کلیدواژه: ANFIS structure,Operation policy development,Time series prediction,Uncertainty

نویسندگان: Rabiei M.H., AALAMI M.T., TALATAHARI S.

ناشر: دانش آب و خاک - Water and Soil Science

The main purpose of this paper was to develop optimal models of reservoir operation in order to Supply different downstream demands based on fuzzy logic and meta-heuristic algorithms. In this regard, firstly, the optimal values of the released water releases from Zayanderood reservoir during the ope... ادامه

سال:2019

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Selection of Green Suppliers Using a Hybrid Multi-objective Programming and Rough Set Model

کلیدواژه: Green supply chain management, supplier selection, multi-objective programming, rough set theory, Iran Khodro

نویسندگان: Poursmaeil Hossein, Bagherzadeh Khajeh Majid, Rahmani Kamaleddin, Bafandeh Zendeh Alireza, Pasbani Mohammad

ناشر: آموزش، تربیت و توسعه پایدار - Training, Education, and Sustainable Development

This study aims to design and implement a precise and scientific model for selecting green suppliers by integrating multi-objective mathematical programming and rough set theory in the Iran Khodro company. The research is applied–developmental in purpose and descriptive–analytical in method. Data we... ادامه

سال:2024

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A Hybrid Model based on Ant Lion Optimization algorithm and K-Nearest Neighbors algorithm to Diagnose Liver Disease

کلیدواژه: Ant lion optimization (ALO) algorithm,Classification,Diagnosis of liver disease,K-nearest neighbors (KNN) algorithm

نویسندگان: JAVADZADEH SH., Shayanfar H., Soleimanian Qarachapaq F.

ناشر: مجله دانشگاه علوم پزشکی ایلام - Journal of Ilam University of Medical Sciences

Introduction: Given that a huge amount of cost is imposed on public and private hospitals from the department of liver diseases, it is necessary to provide a method to predict liver diseases. This study aimed to propose a hybrid model based on the Ant Lion Optimization algorithm and K-Nearest Neighb... ادامه

سال:2021

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A Tri-objective Resource Allocation Model for Pavement Rehabilitation by Hybridization of Parametric and Constraint Methods

کلیدواژه: Multi-objective Programming,Resource Allocation,Pavement Maintenance and Rehabilitation,Markov Chain Process

نویسندگان: BABAEI M.

ناشر: پژوهشنامه حمل و نقل - JOURNAL OF TRANSPORTATION RESEARCH

One of the important issues in road pavement management is the allocation of resource in different parts of the network in order to maintain the pavement conditions at desired levels. In this paper, a tri-objective model is proposed for this purpose, the objective functions of which are: 1) to minim... ادامه

سال:2020

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