Abbas Ahmadi

[ 1 ] - Optimal Manufacturer-Retailer Policies in a Supply Chain with Defective Product and Price Dependent Demand

This study deals with a two-level supply chain consisting of one manufacturer and one retailer. We consider an integrated production inventory system where the manufacturer processes raw materials in order to deliver finished product with imperfect quality to the retailer, where number of defective product has a uniform distribution. The retailer receives product and conducts a 100% inspection....

[ 2 ] - Facility Location and Inventory Balancing in a Multi-period Multi-echelon Multi-objective Supply Chain: An MOEA Approach

A comprehensive and integrated study of any supply chain (SC) environment is a vital requirement that can create various advantages for the SC owners. This consideration causes productive managing of the SC through its whole wide components from upstream suppliers to downstream retailers and customers.  On this issue, despite many valuable studies reported in the current literature, considerabl...

[ 3 ] - ارائه یک مدل بهینه سازی دوسطحی از زنجیره تأمین مواد غذایی فاسد شدنی: مطالعه موردی بر روی زنجیره عرضه ماهیان پرورشی گرم آبی در ایران

مدیریت پایدار منابع غذایی و عرضه موادغذایی با کیفیت در جریان یک زنجیره تأمین کارا، از مهم‌ترین مسائل حوزه مدیریت جوامع  است. در سال‌های اخیر، صید بی‌رویه انواع ماهی از دریای خزر، خلیج‌فارس و دریای عمان موجب کاهش شدید ذخایر این منابع آبی شده است؛ گسترش مزارع پرورش آبزیان نه تنها اقدامی مؤثر در جهت ایجاد یک منبع غذایی پایدار برای کشور بوده، بلکه کمک مؤثری به حفظ و بازسازی ذخایر دریایی کشور است. ا...

[ 4 ] - HIERARCHICAL DATA CLUSTERING MODEL FOR ANALYZING PASSENGERS’ TRIP IN HIGHWAYS

One of the most important issues in urban planning is developing sustainable public transportation. The basic condition for this purpose is analyzing current condition especially based on data. Data mining is a set of new techniques that are beyond statistical data analyzing. Clustering techniques is a subset of it that one of it’s techniques used for analyzing passengers’ trip. The result of...

[ 5 ] - Using Fuzzy FMEA to Increase Patient Safety in Fundamental Processes of Operating Room

Risk assessment is a standard tool in health care systems which is used to improve patient safety. Failure mode and effects analysis (FMEA) as a powerful risk assessment tool for safety and reliability widely applied by industries such as aerospace, nuclear, automotive, chemical, mechanical, medical technologies, and electronics. FMEA is popular technique, but it has some substantial deficienci...

[ 6 ] - Automatic road crack detection and classification using image processing techniques, machine learning and integrated models in urban areas: A novel image binarization technique

The quality of the road pavement has always been one of the major concerns for governments around the world. Cracks in the asphalt are one of the most common road tensions that generally threaten the safety of roads and highways. In recent years, automated inspection methods such as image and video processing have been considered due to the high cost and error of manual metho...

[ 7 ] - Detection of lung cancer using CT images based on novel PSO clustering

Lung cancer is one of the most dangerous diseases that cause a large number of deaths. Early detection and analysis can be very helpful for successful treatment. Image segmentation plays a key role in the early detection and diagnosis of lung cancer. K-means algorithm and classic PSO clustering are the most common methods for segmentation that have poor outputs. In t...

[ 8 ] - A Novel Two-Stage Mathematical Model for Green Supplier Development

Nowadays, numerous processes of any supply chain are done by suppliers and consequently they cause a massive amount of pollution released to the nature. Hence, greening the suppliers has become a necessity. Although most of green supplier development programs need high investment, formal optimization models that address this issue are very rare. This paper mainly aims to address this prob...

[ 9 ] - Intelligent Approach for Attracting Churning Customers in Banking Industry Based on Collaborative Filtering

During the last years, increased competition among banks has caused many developments in banking experiences and technology, while leading to even more churning customers due to their desire of having the best services. Therefore, it is an extremely significant issue for the banks to identify churning customers and attract them to the banking system again. In order to tackle this issue, this pa...

[ 10 ] - A hybrid approach to supplier performance evaluation using artificial neural network: a case study in automobile industry

For many years, purchasing and supplier performance evaluation have been discussed in both academic and industrial circles to improve buyer-supplier relationship. In this study, a novel model is presented to evaluate supplier performance according to different purchasing classes. In the proposed method, clustering analysis is applied to develop purchasing portfolio model using available data in...

[ 11 ] - Identifying Significant Health Measurement of Equipment Affecting the Quality of a Continuous Product (Case Study: Unit 2, Parand Gas Turbine Power Plant)

Objective: Majorproducers consider quality as a major criterion in decision making.Quality characteristics are affected by maintenance and repair decisions. In this study, a model is developed to determine significant measurements of production equipment affecting the quality of a continuous product to identify which measurements are more critical in terms of quality. Methods: Diversity of par...

[ 12 ] - پیش‌بینی عمر مفید باقیمانده تجهیز بر اساس دانش حاصل از تجربه متخصص و پایش وضعیت با استفاده از سیستم استدلال نوروفازی

[ 13 ] - یک رویکرد ترکیبی جدید برای آموزش مدل ترکیب سلسله مراتبی شبکه‌های عصبی به منظور رتبه‌بندی اعتباری در صنعت بانکداری

[ 14 ] - بهبود خلاصه سازی خودکار متون فارسی با استفاده از روش‌های پردازش زبان طبیعی و گراف شباهت

A significant amount of available information is stored in textual databases which contains a large collection of documents from different sources (such as news, articles, books, emails and web pages). The increasing visibility and importance of this class of information motivates us to work on having better automatic evaluation tools for textual resources. The automatic summarization of tex...