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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 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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Analyzing the Capability-attractiveness Matrix for Emerging Technologies in Iran’s Humanitarian supply Chain

کلیدواژه: Humanitarian supply chain,Emerging technologies,Best-worst method,Capability-attractiveness matrix

نویسندگان: Sadeghi Moghadam Mohammad Reza, Noferesti Reihane, Farahani Amin

ناشر: مدیریت صنعتی - Industrial Management Journal

Objective: The influence of climate change on the frequency and severity of natural disasters is ever-increasing on a global scale. While natural disasters are unpredictable, emerging technologies can help with their prevention. Technologies allow responders to act sooner rather than later. The impo... ادامه

سال:2022

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An Introduction to Hybrid Model Inventory Control with a Green Supplier Selection Model under Uncertainty

کلیدواژه: Green supply Chain Management,Vendor Managed Inventory,Supplier Selection Problem,Multi-Objective Optimization

نویسندگان: REZAEE S., Khakestari M.

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

In the current decade, determining the most appropriate supplier as a strategic factor in the supply Chain has attracted lots of consideration. On the other hand, organizations do necessary measures to implement Green supply Chain management in order to improve environmental and economic performance... ادامه

سال:2020

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An Efficient Hybrid Decision-Making Model for Sustainable Supplier Selection (Case Study: Parts supply Industry)

کلیدواژه: Sustainable supplier selection,MCDM,TOPSIS,Gray system

نویسندگان: AFZALI MAHBOUBEH

ناشر: ENVIRONMENTAL ENERGY AND ECONOMIC RESEARCH - ENVIRONMENTAL ENERGY AND ECONOMIC RESEARCH

Supplier Selection has been considered as one of the important decisions taken by firms in supply Chain management to enhance profitability in this competitive era. With the emergence of environmental policies and social concerns, companies are forced to consider triple bottom line including economi... ادامه

سال:2021

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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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Multi-Objective Modeling of Green Vehicle Routing Problem Using a Hybrid Extreme Learning Machine (ELM) and Genetic Programming (GP)

کلیدواژه: Vehicle Routing Problem, Multi-Objective Model, Delivery and Pickup, Probabilistic demand, Extreme Learning Machine, Genetic Programming

نویسندگان: Ershadi Mohammad Mehdi, Momeni Sharifabad Mahsa, Ershadi Mohammad Javad, Azizi Amir, Behzadi pour Samaneh

ناشر: مدیریت زنجیره تامین - supply Chain Management

Transportation plays a significant role in the gross domestic product and oil consumption of every nation. In our country, a combination of recent sanctions and underdeveloped rail, air, and sea transportation systems has led to an increased reliance on road transport. Unfortunately, road transport ... ادامه

سال:2024

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A Hybrid Approach to Develop a Structural Model of Factors Affecting supply Chain Collaboration in Home Appliance Industry

کلیدواژه: Supply Chain Collaboration,Home Appliance Industry,Systematic Literature Review,Interpretive Structural Modeling,Fuzzy Cognitive Maps

نویسندگان: SHAHRYARI NIA ARASH, OLFAT LAYA, AMIRI MAGHSOUD, KAZAZI ABOLFAZL

ناشر: چشم انداز مدیریت صنعتی - Industrial Management Perspective

supply Chain collaboration as a collective approach to compete against rivals, aims to improve performance of supply Chain. In order to develop collaboration across supply Chain it is vital to identify factors affecting collaboration and their interactions. to do so, we have proposed a hybrid method... ادامه

سال:2020

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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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