CTM Effect on Two-Echelon Supply Chain Performance and Reducing Bullwhip Effect Using Simulation

, M.Sc. Thesis Sharif University of Technology Mardani Shahri, Majid (Author) ; Haji, Alireza (Supervisor)

Abstract

In recent decades with the increasing in competitive business environment and globalization of markets, Optimization gone beyond the level of organization and reached the level of supply chain. So far, numerous models of how organizations collaborate together have been developed. In this regard, CPFR model can be regarded as one of the most popular methods. Articles published after 2000 showed the lack of CPFR model and to overcome this, a concept known as Collaborative Transportation Management (CTM) was introduced. In this model, carriers are considered as strategic member and a lot of information gets shared with them. Because of the emerging of this concept, A little research has been...

Development of an Intelligent Reliability Centered Maintenance System

, Ph.D. Dissertation Sharif University of Technology Mardani Shahri, Majid (Author) ; Eshraghniaye Jahromi, Abdolhamid (Supervisor) ; Rafiee, Majid (Co-Supervisor) ; Houshmand, Mahmoud (Co-Supervisor)

Abstract

Reliability-centered maintenance (RCM) is one of the main maintenance methodologies that ensures the continuity of the organization's physical assets in order to meet the expectations of its stakeholders. Despite the widespread use of artificial intelligence in maintenance, the use of these tools to improve the RCM implementation process is a new issue. To this end, in this dissertation, using artificial intelligence and soft computing tools, an upgraded RCM system is introduced so that in addition to increasing the accuracy in the implementation of RCM processes, the time and cost required to implement these processes has reduced, and made it possible to record and store the knowledge of...

Failure mode and effect analysis using an integrated approach of clustering and mcdm under pythagorean fuzzy environment

, Article Journal of Loss Prevention in the Process Industries ; Volume 72 , 2021 ; 09504230 (ISSN) Mardani Shahri, M ; Eshraghniaye Jahromi, A ; Houshmand, M ; Sharif University of Technology

Elsevier Ltd 2021

Abstract

Failure Mode and Effect Analysis (FMEA) is an effective risk analysis and failure avoidance approach in the design, process, services, and system. With all its benefits, FMEA has three limitations: failure mode risk assessment and prioritization, complex FMEA worksheets, and difficult application of FMEA tables. This paper seeks to overcome the shortcomings of FMEA using an integrated approach based on a developed Pythagorean fuzzy (PF) k-means clustering algorithm and a popular MCDM method called PF-VIKOR. In the first step, Pythagorean fuzzy numbers (PFNs) were used to collect Severity (S), Occurrence (O), and Detection (D) factors for failure modes to incorporate uncertainty and fuzziness...

Scaling behavior in measured keystroke time series from patients with Parkinson’s disease

, Article European Physical Journal B ; Volume 93, Issue 7 , July , 2020 Madanchi, A ; Taghavi Shahri, F ; Taghavi Shahri, S. M ; Rahimi Tabar, M. R ; Sharif University of Technology

Springer 2020

Abstract

Abstract: Parkinson has remained as one of the most difficult diseases to diagnose, as there are no biomarkers to be measured, and this requires one patient to do neurological and physical examinations. As Parkinson is a progressive disease, accurate detection of its symptoms is a crucial factor for therapeutic reasons. In this study, we perform Multifractal Detrended Fluctuation Analysis (MFDFA) on measured keystroke time series for three different categories of subjects: healthy, early-PD, and De-Novo patients. We have observed different scaling behavior in terms of multifractality of the measured time series, which can be used as a practical tool for diagnosis purposes. Additionally, the...

The Use of Social Marketing Approach to Motivate Schools to Teach Students Systematic Thinking

, M.Sc. Thesis Sharif University of Technology Shahri, Maryam (Author) ; Mashayekhi, Alinaghi (Supervisor)

Abstract

One of Iran’s most important priorities at present is the development of the human resources and one of the most important skills of this human resource is decision making and problem solving. During the past few years, there have been numerous criticisms about the educational system in Iran without a substantial solution being offered to replace the existing approach. Aseman Group has been trying to promote system thinking in children. In Aseman, they believe that system thinking is one probable solution in order to develop thinking, decision making and problem solving skills in our human resource at early age. However, one of the many problems facing this group, is the resistance shown by...

Optimization of the Eddy Dissipation Concept (EDC) model for turbulence-chemistry interactions under hot diluted combustion of CH4/H2

, Article Fuel ; Volume 191 , 2017 , Pages 114-129 ; 00162361 (ISSN) Mardani, A ; Sharif University of Technology

Elsevier Ltd 2017

Abstract

Moderate or Intense Low-oxygen Dilution (MILD) combustion which known as a combustion under highly preheated and diluted condition is a relatively new combustion regime including many differences in comparison with the traditional one. Among many distinguished disparities between combustion modeling of conventional and MILD ones, turbulent-chemistry interaction modeling is an open field of study. Current knowledge on modeling this combustion regime shows that the eddy dissipation concept (EDC) model could be successfully used for modeling of this combustion regime. In this paper, it has been tried to propose some guidelines to modify the semi-empirical constants of the original EDC model for...

The Effects of Intentional Process Models on Goal Modeling and Process Conformance Checking

, M.Sc. Thesis Sharif University of Technology Farsayyad, Nazi (Author) ; Rafiei, Majid (Supervisor) ; Khedmati, Majid (Supervisor)

Abstract

In recent years, requirement engineering and goal modeling have gained more attention among different organisations. Therefore, different methods have been designed to discover stakeholders’ requirements and translate them into process and organizational goals. Various goal models have been introduced to represent these goals and their relations towards each other. Still, these methods are manual representations of different process scenarios and do not relate to the actual behavior. In 2014, Map Miner Method (MMM) was introduced to discover intentional process models from event logs. MMM uses Hidden Markov Model (HMM) as a means to represent the process as a map model of strategies and...

Assessment of Multivariate Chemometric Methods Combined with Comprehensive Two-dimensional Gas Chromatography Towards Determination of Aromatic Compounds in Complex Samples

, M.Sc. Thesis Sharif University of Technology Eftekhari, Ali (Author) ; Parastar Shahri, Hadi (Supervisor)

Abstract

In recent years, comprehensive two-dimensional gas chromatography (GC×GC) have emerged as a powerful technique suitable for the separation of complex mixtures because of their higher resolution and higher peak capacity. The invention of GC×GC is a milestone development in chromatographic history. However, one of the main challenges in chromatography and especially in GC×GC is related to the difficulty on the analysis and interpretation of the enormous amount of data obtained in these cases. In this context, resolution, identification and quantification of target compounds in the presence of interferences are issues which have a great importance and not totally solved yet. The present...

Guarding a Terrain by Watchtowers

, M.Sc. Thesis Sharif University of Technology Panahi Shahri, Masoume (Author) ; Zarei, Alireza (Supervisor)

Abstract

Guarding terrains(or covering terrains) is a well known problem in the field of visibility and computational geometry. The aim of this problem is to select a minimal set of elements (such as points on terrain, line segment, points above terrain ,...),as guard set, such that every point of the terrain is visible from at least one member of the guard set.
This problem was introduced in 2-dimensions as art gallery problem. Various types of this problem have been defiend and studied in the literature. Guarding 3-dimensional terrains is an example of this problem. In 3-dimentional case, the guarded terrain can be modeled with triangulated irregullar network(TIN), as one of the surface models,...

Hyperspectral Imaging Combined with Chemometric Techniques for Diagnosis of Breast Cancer

, M.Sc. Thesis Sharif University of Technology Roshandel, Pegah (Author) ; Parastar Shahri, Hadi (Supervisor)

Abstract

Breast cancer is one of the most known types of cancer. About every eight women, one woman will suffer from one of the types of malignant tissues during her life. Diagnosing this type of cancer in the early stages is an important matter and can lead to full recovery. Therefore, one of the challenges in this field is the emergence of a fast method with high sensitivity to diagnose this disease in its early stages. Currently, biopsy is the standard method for breast cancer diagnosis. However, there are some drawbacks to this method. For instance, in order to detect the tumor margin, all breast tissue must be removed, which causes all breast tissue, including healthy tissues, to be removed....

Determination of Saffron Adulteration Thorough the Package Using Hyperspectral Imaging and Chemometric Techniques

, M.Sc. Thesis Sharif University of Technology Ostovar, Mona (Author) ; Parastar Shahri, Hadi (Supervisor)

Abstract

These days, food authenticity has become a major challenge because food health directly affects human health. The importance of authenticity is highlighted when we are faced with foods with higher nutritional and economic value. Saffron is an important example of spices because in addition to having food coloring and flavoring properties, it also has numerous health benefits, but it has limited production and high price. Therefore, with the options available and cheaper to be replaced. Thus, among the various spices, cheating in saffron has the fourth place. Hyperspectral Imaging (HSI) has been developed for food safety industrial applications. This technique combines spectroscopy and...

Development of Chemometric Methods Combined with Isotope Ratio Mass Spectrometry (IRMS) for Isotope Pattern Recognition and Adulteration Detection in Foods

, M.Sc. Thesis Sharif University of Technology Ghiasi, Ali (Author) ; Parastar Shahri, Hadi (Supervisor)

Abstract

The purpose of this study was to investigate the capability of Isotopic Ratio Mass Spectrometry (IRMS) in the detection of four common natural plant frauds in saffron, namely Marigold flower, Safflower, Rubia and Saffron Style. For this purpose, first natural saffron isotopes were analyzed and used to investigate fingerprints of carbon-13 and nitrogen-15 isotopes by Elemental Analyzer Isotopic Ratio Mass Spectrometry (EA-IRMS) and carbon-13 isotopic ratio of saffron components by Gas Chromatography Isotopic Ratio Mass Spectrometry (GC-C-IRMS). Then, according to the isotopic behavior of the original saffron, they were sampled to form a mixture of saffron that is representative of the...

The Pattern Recognition Methods in Combination with Nuclear Magnetic Resonance (NMR)Spectroscopy in Order to Develop a Metabolomic Approach to Breast Cancer Prognosis

, M.Sc. Thesis Sharif University of Technology Esmaeili, Pedram (Author) ; Parastar Shahri, Hadi (Supervisor)

Abstract

The emerging field of “metabolomics” focuses on investigating into the changes of low-molecular-weight – less than 1500 Daltons – molecules, or metabolites, and it has significantly developed in the field of detecting diseases, particularly cancer in recent years. Regarding the importance of breast cancer (BC), especially among women, developing simple, trusted metabolic approaches are crucial. In the present work, utilizing multivariate class-modelling techniques combined to nuclear magnetic resonance (NMR) in order to predict breast cancer based on analyzing the blood serum of healthy and BC patients is presented. To do so, using 42 blood samples, 18 BC patients and 24 healthy individuals,...

Development and Application of Independent Component Analysis Method for Evaluation of Complex Chromatographic Data

, M.Sc. Thesis Sharif University of Technology Zarghani, Maryam (Author) ; Parastar Shahri, Hadi (Supervisor)

Abstract

In recent years, chromatographic technique as one of the most important analytical techniques have been developed for the analysis of complex samples. Hyphenated chromatographic techniques such as liquid or gas chromatography combine separation and spectroscopic detection technique to exploit the advantages of both and they have attracted attention of chemists to analyze complex mixtures. However, inadequate separation challenges still exist especially in the analysis of complex samples. Therefore, two-dimensional chromatographic systems such as comprehensive two-dimensional gas chromatography-mass spectrometry (GC×GC-MS) have been proposed for the analysis of complex samples due to their...

Development and Application of Multivariate Calibration Methods Combined with Gas Chromatography for Simultaneous Determination of Organophosphorous Pesticides in Complex Matrices

, M.Sc. Thesis Sharif University of Technology Balsini, Parvaneh (Author) ; Parastar Shahri, Hadi (Supervisor)

Abstract

In this study, a new strategy based on chemometrics and extraction method of Quick, Easy, Cheap, Effective, Rugged and Safe (QuEChERS) combined with dispersive liquid–liquid micro-extraction (DLLME) in addition gas chromatography-flame ion detector (GC-FID) has been developed for the determination of ten pesticides in complex samples (such as tap water and milk).In this regard, experiments were designed, modeled and optimum condition was achieved by using central composite design (CCD), backward multiple linear regression (MLR) and Nelder-Mead simplex optimization. On this matter, 36 experiments for 5 extraction factors in 5 levels were generated. Also, multi-response optimization using...

Conventional and Hyperspectral Imaging Combined with Chemometric Techniques for Rice Authentication

, M.Sc. Thesis Sharif University of Technology Dehbasteh, Maryam (Author) ; Parastar Shahri, Hadi (Supervisor)

Abstract

Fast, non-destructive and reliable methods for food authentication purposes have been deemed important in recent years. The hyperspectral imaging technique (HSI) is a powerful method in this field, allowing the study of different features such as size, color, texture. Comprehensive interpretation is crucial, and utilizing chemometric methods enhances data interpretation. Rice is a vital and strategic food source for nearly half of the world, with Asia, particularly Iran, being a leading producer and exporter. Various types of rice fraud exist, including the mixing of high-quality and low-quality varieties, sold at a high cost. The present project aims to determine the geographical origin and...

Handheld NIR Spectroscopy and Hyperspectral Imaging in Combination with Chemometrics for Determination of Active Pharmaceutical Ingredient in Warfarin, Metformin and Nitroglycerin

, M.Sc. Thesis Sharif University of Technology Bolhassani, Zahra (Author) ; Parastar Shahri, Hadi (Supervisor)

Abstract

With the expansion of the pharmaceutical market and the increasing likelihood of distributing substandard medicines, it is necessary to develop methods for rapid, timely, and non-destructive analysis. These methods should enable the assessment of qualitative features such as the amount of active substance and the homogeneous distribution of materials at various stages of drug manufacturing. In this regard, numerous studies have been conducted using spectroscopy and hyperspectral imaging, particularly in the visible and near-infrared regions. The challenge here is that active ingredients in medicine and excipients look very similar in this region. They're usually white powders, and the weak...

Improving the Multivariate Classification Results of Hyperspectral Imaging Data by Considering Spatial Information Using Deep Learning Methods

, M.Sc. Thesis Sharif University of Technology Chogan, Hannaneh (Author) ; Parastar Shahri, Hadi (Supervisor)

Abstract

Hyperspectral imaging (HSI) has gained attention because it offers many benefits: it requires minimal sample preparation, is non-destructive, highly accurate, and provides detailed spatial information. However, the large amount of data it generates leads to high computational costs. To handle this and extract useful information from HSI data, various machine learning and chemometrics methods have been developed in recent years. This study aims to use a U-shaped deep neural network (U-Net) to classify hyperspectral imaging data in the 400-1000 nm wavelength range. The goal is to authenticate and detect adulterations in saffron, a valuable product. This method preserves the spatial information...

A Trajectory Recommendation System for Efficient Finding of Passengers

, M.Sc. Thesis Sharif University of Technology Aledavood, Ebrahim (Author) ; Khedmati, Majid (Supervisor) ; Rafiee, Majid (Supervisor)

Abstract

Recommending routes to city taxis in order to improve their performance in finding passengers can reduce traffic, pollution and waiting time for passengers, as well as this, increasing the efficiency of taxis can increase their income. In this study, by analyzing trajectory data obtained from 536 taxis in San Francisco over a period of one month, we generated networks of cells, each of which has time-dependent characteristics such as the probability of finding a passenger, the capacity of each cell, or the amount of demand exists is in the cell and the average speed of passing through that cell. also, the connections between these cells in order to make more use of the experiences of taxi...

NO x formation in H 2-CH 4 blended flame under MILD conditions

, Article Combustion Science and Technology ; Volume 184, Issue 7-8 , Aug , 2012 , Pages 995-1010 ; 00102202 (ISSN) Mardani, A ; Tabejamaat, S ; Sharif University of Technology

2012

Abstract

In this article, NO production mechanisms for CH 4-H 2 combustion under MILD (moderate or intense low-oxygen dilution) conditions are studied using CDF and also zero-dimensional well stirred reactor (WSR) analysis. A H 2/CH 4 jet into a heated and diluted coflow is modeled in CFD analysis. The RANS equations with modified k equations are solved in an axisymmetric 2D computational domain. The GRI2.11 full mechanism is considered to represent the chemical reactions. The effects of oxidizer oxygen concentration, fuel hydrogen content, and fuel jet Reynolds number are studied on NO formation reactions. Results show that the measurements are predicted with an acceptable accuracy. The NNH and N 2O...