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multi-attribute-decision-making
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Study and Prioritize of the Effective Factors on Human Force Productivity in Headquarter Unit of the Technical and Vocational Training Organization Through Multiple-Attribute Decision Making Methods
, M.Sc. Thesis Sharif University of Technology ; Chamran, Mohammad Hadi (Supervisor)
Abstract
The main objective of all managers of the economic organizations, manufacturing and industrial companies and service providers is to take steps toward improvement and effective use of different resources like workforce, capital, materials, energy and information. To attain the desired productivity, managers have to observe requirements such as establishment of a working organizational structure, effective implementation methods, safe equipment and tools, balanced working atmosphere and qualified human force as the most important factor. Therefore productivity culture should be publicized throughout the organization, and human force should be considered as the main component of this process....
Provide a Model for Evaluating Supply Chain Performance using a Balanced Scorecard to Supply Chain, and the Case of Iran Khodro Diesel
, M.Sc. Thesis Sharif University of Technology ; Hajji, Alireza (Supervisor)
Abstract
Key conservation organizations to meet customer needs and attitudes of SCM is not only the ultimate goal of customer relationship that the final product delivers, but a sequence of suppliers in this work considers the integration of organizations involved in the synchronization process material, and financial information to improve the competitiveness of the supply chain are examined. The proper functioning of the supply chain , a key role in achieving sustainable success of an organization and its profitability goals, especially. In this regard, the establishment of a system of supply chain performance measurement in continuous improvement of its performance is recommended. In each of the...
A Framework for Agile Supply Chain based on Industry 4.0 Enabling Technologies
, M.Sc. Thesis Sharif University of Technology ; Habibi, Moslem (Supervisor)
Abstract
Supply chain management aims to increase customer satisfaction and satisfy demand with the lowest cost by establishing coordination and cooperation among the chain members. However, considerable concerns along supply chain management are reported from both academicians and practitioners. Security, visibility, transparency and traceability are the main challenges confronting supply chain management. The emerging technology named Blockchain is able to address the mentioned challenges by integrating with supply chain management. A prominent point to consider is that whether it is absolutely necessary to adopt blockchain technology in a system or not. If yes, how blockchain should be implemented...
Optimal decision making for orbit transfer system of a student micro-satellite, using multi-criteria decision making
, Article 1st IEEE International Symposium on Systems Engineering, ISSE 2015 - Proceedings, 28 September 2015 through 30 September 2015 ; 2015 , Pages 29-33 ; 9781479919208 (ISBN) ; Mahrooz, M. H ; Rahmani, S ; IEEE Systems Council ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2015
Abstract
One of the most important aspects of a successful space mission is the transition to the correct orbit and maintaining it. As a result, many modern orbit transfer techniques have been developed in space industry in order to accomplish this task in a more reliable and less expensive way. However, when it comes to the design of student satellites, usually there are serious limitations on the financial resources, technical database and satellite industry experts. These limitations may compromise the access to advanced methods and techniques. Therefore, reliability and expenses may no longer be the only criteria to be met in the process of design. As a result, at each step of the design, a...
Integration of simulation and fuzzy multi-attribute decision making for modelling and assessment of fuzzy parameters
, Article International Journal of Industrial and Systems Engineering ; Volume 6, Issue 4 , 2010 , Pages 483-502 ; 17485037 (ISSN) ; Seifoory, M ; Abbasi, M ; Sharif University of Technology
2010
Abstract
This article introduces a methodology to integrate fuzzy multiattribute decision making (FMADM) and fuzzy simulation. According to this method, a fuzzy simulation method is applied to study the effect of different alternative on system's performance and decision criteria taking into account fuzzy inputs. Using a fuzzy analytical hierarchy process (FAHP) and the results of fuzzy simulation, a FMADM is conducted to select the best alternative. This article introduces how to incorporate fuzzy set theory with discrete-event simulation in order to model uncertain activity duration in simulating a realworld system, especially when insufficient or no sample data are available. A case study is...
Evaluation of demand side behaviors in cost-emission based PM scheduling under restructured environment
, Article 24th Iranian Conference on Electrical Engineering, ICEE 2016, 10 May 2016 through 12 May 2016 ; 2016 , Pages 885-890 ; 9781467387897 (ISBN) ; Rashidinejad, E ; Rashidinejad, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2016
Abstract
Security constrained Preventive Maintenance (PM) scheduling is addressed as a crucial issue especially coping with new challenges of smart grids. Under the smart grid environment, Demand Response Resources (DRRs) are considered as virtual power plants in energy policy decisions which affect the controllability of power system ranging from short-term to long-term. Here, DRRs are regarded as a virtual resource of capacity reserve acquisition. Furthermore, under new environment, multifarious objectives will be imposed to PM scheduling which can be replicated into a single objective problem via a weighted approach with consideration of arbitrary weighting coefficients. In this paper, a new...
An MADM network selection approach for next generation heterogeneous networks
, Article 2017 25th Iranian Conference on Electrical Engineering, ICEE 2017, 2 May 2017 through 4 May 2017 ; 2017 , Pages 1884-1890 ; 9781509059638 (ISBN) ; Pakravan, M. R ; Sharif University of Technology
Abstract
Next generation wireless networks will consist of different types of radio access technologies. Emerging diverse applications have attracted a lot of users. Therefore, having the best connectivity anytime anywhere has become an important issue. Users would like to have continuous high quality network connection even when they handover from one network type to the other. Each access technology has its own features and service quality. In this regard, when there is a handover, it is important to choose the most suitable network based on user needs. Different algorithms have been proposed for network selection. Multi Attribute Decision Making (MADM) methods are widely used due to their...
Optimizing nodal demand response in the day-ahead electricity market within a smart grid infrastructure
, Article 16th IEEE International Conference on Industrial Informatics, INDIN 2018, 18 July 2018 through 20 July 2018 ; 2018 , Pages 972-977 ; 9781538648292 (ISBN) ; Shafie Khah, M ; Ehsan, M ; Catalao, J. P. S ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2018
Abstract
Developments of the smart grid infrastructure can facilitate the upsurge of Demand Response (DR) share in power system resources. This paper models the effects of Demand Response Programs (DRPs) on the behavior of the electricity market in the Day-Ahead (DA) session. Decision makers look for the best DR tariff to employ it as a tool to obtain a flexible and sustainable energy market. Employing the most effective DRP is of crucial importance. An optimized DR model and the optimum rates for each DRP are found to meet the decision makers' requirements. optimizing the nodal tariff and incentive values of different DRPs are proposed in the electricity market. In such environment, market...
A new multiattribute decision making support tool for identifying critical components in power transmission systems
, Article IEEE Systems Journal ; Volume 12, Issue 1 , 2018 , Pages 316-327 ; 19328184 (ISSN) ; Fotuhi Firuzabad, M ; Dehghanian, P ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2018
Abstract
The present context of the electric industry, characterized by competitive markets, privatization, and regulatory of technical requirements forces the power utilities to optimize their asset management practices and develop the requisite decision plans techno-economically. Practically approaching, this paper devises a new support tool based on a multiattribute decision making (MADM) framework in combination with analytical hierarchical process (AHP) to determine the most critical components of power transmission systems. Measure of system-wide reliability performance, outage cost, marginal clearing prices demonstrative of market fairness, and network losses are among the attributes...
Multi-Attribute decision making on Inter-Basin Water Transfer projects
, Article Scientia Iranica ; Volume 16, Issue 1 E , 2009 , Pages 73-80 ; 10263098 (ISSN) ; Szidarovszky, F ; Ardakanian, R ; Sharif University of Technology
2009
Abstract
One of the best ways to control water shortages in the central region of Iran is Inter-Basin Water Transfer (IBWT). Efficient decision making on this subject is, however, a real challenge for the water authorities in Iran. These decisions should include multiple attributes, model uncertainty and, also, the optimistic/pessimistic view of the decision makers. The Ordered Weighted Averaging (OWA) operator can be used as an efficient Multi-Attribute Decision Making (MADM) method. This paper will introduce a new method to obtain the order weights of this operator. The new method is based on a combination of fuzzy quantifiers and neat OWA operators. Fuzzy quantifiers are usually applied in soft...
Generation expansion planning of stand-alone micro-power systems under uncertainty using advanced planning methodology
, Article Energy Exploration and Exploitation ; Volume 26, Issue 4 , 2008 , Pages 221-239 ; 01445987 (ISSN) ; Rahimi Kian, A ; Ehsan, M ; Sharif University of Technology
2008
Abstract
In this paper a strategic planning framework for selecting the best configuration and capacity of different power generating technologies including renewable energy resources in stand-alone micro-power systems is proposed. The proposed framework is composed of three decision making techniques to identify the most feasible and efficient plans according to attributes and uncertain parameters in the planning environment. The framework considers the robustness and risk analysis of different plans exposed to uncertainties in the planning environment and selects the configurations that meet the objectives with the least risk exposure. The proposed methodology is implemented as a case study of a...
A combination of MADM and genetic algorithm for optimal DG allocation in power systems
, Article 42nd International Universities Power Engineering Conference, UPEC 2007, Brighton, 4 September 2007 through 6 September 2007 ; 2007 , Pages 1031-1035 ; 1905593368 (ISBN); 9781905593361 (ISBN) ; Afsharnia, S ; Khodayar, M. E ; Rahimikian, A ; Sharbafi, M. A ; Sharif University of Technology
2007
Abstract
Distributed Generation (DG) can help in reducing the cost of electricity to the customer, relieve network congestion, provide environmentally friendly energy close to load centers as well as promote system technical characteristics such as loss reduction, voltage profile enhancement, reserve mitigation and many other factors. Furthermore, its capacity is also scalable and it can provide voltage support at distribution level. The planning studies include penetration level and placement evaluation which are influenced directly by DG type. Most of the previous publications in this field chose one or two preferred parameter as basic objective and implement the optimizations in systems. But due...
Integration of simulation and fuzzy multi attribute decision making for modeling and assessment of fuzzy parameters
, Article Summer Computer Simulation Conference 2007, SCSC 2007, Part of the 2007 Summer Simulation Multiconference, SummerSim 2007, San Diego, CA, 15 July 2007 through 18 July 2007 ; Volume 1 , 2007 , Pages 400-407 ; 9781622763580 (ISBN) ; Seifoory, M ; Abbasi, M ; Sharif University of Technology
2007
Abstract
This paper introduces how to incorporate fuzzy set theory with discrete-event simulation in order to model uncertain activity duration in simulating a real-world system, especially when insufficient or no sample data are available. A case study is developed to apply this method to select a scenario to implement the maintenance program in a constant work in process (CONWIP) system. The maintenance activities directly or indirectly affect on production system performance such as response time production costs and etc. so we used the fuzzy simulation to determine the maintenance affects on the system performance. Finally we used the fuzzy simulation result to develop a fuzzy multi attribute...
A robust decision making framework for GEP of grid connected micro-power systems
, Article 2007 Large Engineering Systems Conference on Power Engineering, LESCOPE'07, Montreal, QC, 10 October 2007 through 12 October 2007 ; January , 2007 , Pages 239-243 ; 9781424415830 (ISBN) ; Ehsan, M ; Rahimikian, A ; Kamalinia, S ; Abbasi, E ; Sharif University of Technology
2007
Abstract
In this paper a strategic planning framework is proposed for generation expansion planning of grid-connected micro-power systems. The proposed framework is composed of two different decision making techniques that results a robust planning approach compared to previous techniques to identify the feasible and efficient plans according to attributes and uncertain parameters considered in planning environment. The framework considers the robustness and risk exposure of different configurations according to uncertain parameters in the planning environment to select the plans which meet the objectives more efficiently with least risk exposure. The proposed methodology is implemented for...
Fuzzy multiple attribute decision making on water resources projects case study: ranking water transfers to zayanderud basin in Iran
, Article Water International ; Volume 32, Issue 2 , 2007 , Pages 280-293 ; 02508060 (ISSN) ; Ardakanian, R ; Memariani, A ; Sharif University of Technology
2007
Abstract
In this study, in order to create a decision-making model on water resources projects, a hierarchy of criteria has been developed by public participation. The Value Management methodology has been used for extraction of the effective criteria and attributes in the scope of Integrated Water Resources Management (IWRM). The hierarchy is generic for water resources management in the Islamic Republic of Iran. Since the evaluations of alternatives with respect to some attributes are uncertain and vague, fuzzy set theory has been used. By merging fuzzy set theory and multi-attribute decision-making a new Decision Support System (DSS), namely FDM, has been developed to compare different...
Generation expansion planning of stand-alone micro-power systems using MADM techniques
, Article 42nd International Universities Power Engineering Conference, UPEC 2007, Brighton, 4 September 2007 through 6 September 2007 ; 2007 , Pages 68-72 ; 1905593368 (ISBN); 9781905593361 (ISBN) ; Afsharnia, S ; Ehsan, M ; Kamalinia, S ; Sedighizadeh, M ; Sharif University of Technology
2007
Abstract
In this paper, Analytic Hierarchy Process and Data Envelopment Analysis are introduced as multi attribute decision making techniques in planning of standalone micro-power systems. The objective of the planning framework is to select the best configuration and capacity of different generating technologies in micro-power systems to minimize certain economical and environmental attributes. The economical attributes are capital cost and net present cost and the environmental attribute is emission. The proposed framework is illustrated by a case study on a real network in northern region of Iran
Prioritizing strategic innovative energy technologies for development by a novel fuzzy approach based on distances from ideals (Case study: Upstream technologies of Iran's oil industry fields)
, Article Energy Reports ; Volume 8 , 2022 , Pages 362-376 ; 23524847 (ISSN) ; Maleki, A ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Previous empirical research about the functions of innovative systems has been less enabled to present practical strategies for managers’ decisions. This paper aims to determine the boundaries of the innovation system in the oil industry by prioritizing strategic innovative upstream technologies for policy-making and commercializing within the framework of energy technological innovation systems. This paper proposes a novel fuzzy approach based on distance from ideals to scrutinize the effects of effective criteria on the policy-making process and rank new and essential technologies in various fields. The developed fuzzy Technique for Order of Preference by Similarity to Ideal Solution...