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    Service composition and optimal selection in cloud manufacturing: landscape analysis and optimization by a hybrid imperialist competitive and local search algorithm

    , Article Neural Computing and Applications ; 2018 ; 09410643 (ISSN) Akbaripour, H ; Houshmand, M ; Sharif University of Technology
    Springer London  2018
    Abstract
    Cloud manufacturing as an emerging service-oriented manufacturing paradigm integrates and manages geographically distributed manufacturing resources such that complex and highly customized manufacturing tasks can be performed cooperatively. The service composition and optimal selection (SCOS) problem, in which manufacturing cloud services are optimally selected for performing subtasks, is one of the key issues for implementing a cloud manufacturing system. In this paper, we propose a new mixed-integer programming model for solving the SCOS problem with sequential composition structure. Unlike the majority of previous research on the problem, in the proposed model, the transportation between... 

    Optimal design of the high-speed spindle bearings to minimize the non-repeatable runout

    , Article SAE World Congress Experience, WCX 2019, 9 April 2019 through 11 April 2019 ; Volume 2019-April, Issue April , 2019 ; 01487191 (ISSN) Khodaygan, S ; Farahani, M. R ; Sharif University of Technology
    SAE International  2019
    Abstract
    The production with high-quality at the lowest production time can be a key means to success in the competitive environment of the manufacturing companies. Therefore, in recent years, the need for the extra precise and high-speed machine tools has been impressively increased in the manufacturing applications. One of the main sources of errors in the motion of the high-speed spindles is the occurrence of non-repetitive runouts (NRRO) in the bearing. The NRRO can be caused by some factors such as the form of balls, the waveness of rings, the number of balls, and the permutation of one or two balls in the ball bearing. In this paper, a Taguchi-based approach is proposed for the optimal design... 

    Service composition and optimal selection in cloud manufacturing: landscape analysis and optimization by a hybrid imperialist competitive and local search algorithm

    , Article Neural Computing and Applications ; Volume 32, Issue 15 , 2020 , Pages 10873-10894 Akbaripour, H ; Houshmand, M ; Sharif University of Technology
    Springer  2020
    Abstract
    Cloud manufacturing as an emerging service-oriented manufacturing paradigm integrates and manages geographically distributed manufacturing resources such that complex and highly customized manufacturing tasks can be performed cooperatively. The service composition and optimal selection (SCOS) problem, in which manufacturing cloud services are optimally selected for performing subtasks, is one of the key issues for implementing a cloud manufacturing system. In this paper, we propose a new mixed-integer programming model for solving the SCOS problem with sequential composition structure. Unlike the majority of previous research on the problem, in the proposed model, the transportation between... 

    Improving Manufacturing Yield and Life Cycle of Special Purpose SIMT Processors for Inexact Computing

    , M.Sc. Thesis Sharif University of Technology Afarin, Mahbod (Author) ; Hesabi, Shahin (Supervisor)
    Abstract
    The downscaling of feature size and higher process variation in COMS nano-technology are anticipated to introduce higher manufacturing anomalies. On the other hand, designs are getting more complicated due to more innovative applications where they need higher numbers of transistors. Because of these issues, integrated circuits manufacturing has become more complicated than before. Complexity in manufacturing process increases the probability of the defects in chips. This phenomenon reduces the fabrication yield. Conventional methods like fault tolerant techniques, defect tolerant techniques and redundancy are not separately good enough for improving manufacturing yield. On the other hand,... 

    Production Planning of Manufacturing System Using Kanban. A Case Study in a Manufacturing System

    , M.Sc. Thesis Sharif University of Technology Nafar, Sepehr (Author) ; Houshmand, Mahmoud (Supervisor)
    Abstract
    Kanban is a tool developed by Toyota Motors Corporation to increase productivity and eliminate waste from their large-scale manufacturing processes. Recently, the system has been used as a tool of choice in Lean software development. Kanban system is the inventory stock control system that triggers the signal for production of product based on actual customer requirement.The present thesis is researching the advantages and disadvantages that Kanban system implementation might cause to the material management processes of a manufacturing facility as well as the theoretical and/or practical reasons behind these results. On an empirical level, the research question is analyzed by participating... 

    Pinch Analysis in Cocoa and Wafer Industry

    , M.Sc. Thesis Sharif University of Technology Niazi, Hoda (Author) ; Roostaazad, Reza (Supervisor)
    Abstract
    The daily increase of fuel prices, decrease of fuel resources and the need for controlling environmental pollution, reflect the importance of optimizing the heat recovery in different industries. In the past 20 years, Pinch technology has been considered as a powerful tool used for, recovering wasted energies, optimizing the energy transfer between hot and cold streams and reducing the need for additional services. In this thesis, Pinch technology is used to optimize the process of wafer and chocolate production in one of the KitKat’s factories and different retrofits for the increase of the heat recovery are proposed. urthermore, the data collected at this factory is used to investigate the... 

    A Novel Digital Dentistry Platform Based on Cloud Manufacturing Paradigm

    , Ph.D. Dissertation Sharif University of Technology Valizadeh, Siavash (Author) ; Houshmand, Mahmoud (Supervisor) ; Fatahi Valilai, Omid (Supervisor) ; Vasegh, Zahra (Supervisor)
    Abstract
    This thesis has developed a novel platform for digital dentistry which facilitates the interoperability among different digital components and improves digital workflow in a collaborative environment. The platform is inspired by the cloud manufacturing paradigm for enabling the interoperability and collaboration management and also applies the DICOM standard to improve the integration for the coordination among the different stakeholders for better sharing of their resources while they are geographically distributed. The paper has proposed the application of the PACS concept to include design, implant planning, process planning and production workstations. The paper has conducted a... 

    A collaborative and integrated platform to support distributed manufacturing system using a service-oriented approach based on cloud computing paradigm

    , Article Robotics and Computer-Integrated Manufacturing ; Volume 29, Issue 1 , 2013 , Pages 110-127 ; 07365845 (ISSN) Valilai, O. F ; Houshmand, M ; Sharif University of Technology
    2013
    Abstract
    Today's manufacturing enterprises struggle to adopt cost-effective manufacturing systems. Overview of the recent manufacturing enterprises shows that successful global manufacturing enterprises have distributed their manufacturing capabilities over the globe. The successes of global manufacturing enterprises depend upon the entire worldwide integration of their product development processes and manufacturing operations that are distributed over the globe. Distributed manufacturing agents' collaboration and manufacturing data integrity play a major role in global manufacturing enterprises' success. There are number of works, conducted to enable the distributed manufacturing agents to... 

    Work-in-progress: heterogeneous redundancy to address performance and cost in multi-core SIMT

    , Article 2017 International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2017, 15 October 2017 through 20 October 2017 ; 2017 ; 9781450351850 (ISBN) Naghashi, M ; Mozafari, S. H ; Hessabi, S ; Sharif University of Technology
    Abstract
    As manufacturing processes scale to smaller feature sizes and processors become more complex, it is becoming challenging to have fabricated devices that operate according to their speciication in the irst place: yield losses are mounting [3]. © 2017 ACM  

    Applying simulated annealing to cellular manufacturing system design

    , Article International Journal of Advanced Manufacturing Technology ; Volume 32, Issue 5-6 , 2007 , Pages 531-536 ; 02683768 (ISSN) Arkat, J ; Saidi, M ; Abbasi, B ; Sharif University of Technology
    2007
    Abstract
    Cell formation and cellular layout design are the two main steps in designing a cellular manufacturing system (CMS). In this paper, we will present an integrated methodology based on a new concept of similarity coefficients and the use of simulated annealing (SA) as an optimization tool. In comparison with the previous works, the proposed methodology takes into account relevant production data, such as alternative process routings and the production volumes of parts. The SA-based optimization tool is parallel in nature and, hence, can reduce the computation time significantly, so it is capable of handling large-scale problems. Finally, the SA-based procedure is compared with a genetic... 

    Simplified winding arrangement for integrated multiturn resolvers

    , Article IEEE Transactions on Industrial Electronics ; Volume 68, Issue 12 , 2021 , Pages 12802-12809 ; 02780046 (ISSN) Saneie, H ; Nasiri Gheidari, Z ; Tootoonchian, F ; Daniar, A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2021
    Abstract
    Winding configuration is a crucial factor that highly affects the accuracy of resolvers. A nonoptimal winding could also make the manufacturing process complicated and costly inefficient. In this article, an approach to determine the optimal winding configuration for the resolvers is proposed. This method is applicable for both wound rotor (WR) and variable reluctance (VR) resolvers, and significantly simplifies the winding configuration of resolvers with different pole pairs and teeth numbers. Based on the proposed approach, the winding configuration of multiturn resolvers, which are generally more complicated than single-turn resolvers, is simplified for WR and VR type resolver with... 

    Application of Knowledge-based Systems (kbs) in Exchange and Integration Manufacturing Systems Information with Cloud Manufacturing Approach (In Case Cooling Tower)

    , M.Sc. Thesis Sharif University of Technology Ghayazi, Abdolhossein (Author) ; Houshmand, Mahmoud (Supervisor)
    Abstract
    Product knowledge is the most precious asset of any manufacturing company, particularly for OKP companies. High level of customization is one characteristic of OKP which means more customer involvements in OKPPD activities, and customer requirements and expectations may be changing at any activity in PD, e.g., at designing stage. As SMEs, OKP companies always have limitation in resources such as machines tools, human resources, cutters, clamps, so managing the limitations is one of the major challenges that must be faced for maximizing the efficiently and productivity. The part of design that involves fuzzy problems and a lot of product knowledge, it is a critical part for the entire PD. In... 

    VirSense: A novel haptic device with fixed-base motors and a gravity compensation system

    , Article Industrial Robot ; Vol. 41, Issue. 1 , 2014 , pp. 37-49 ; ISSN: 0143991X Mashayekhi, A ; Nahvi, A ; Yazdani, M ; Moghadam, M. M ; Arbabtafti, M ; Norouzi, M ; Sharif University of Technology
    Abstract
    Purpose - This paper aims to present the design and implementation of VirSense, a novel six-DOF haptic interface system, with an emphasis on its gravity compensation and fixed-base motors. Design/methodology/approach - In this paper, the design and manufacture of the VirSense robot and its comparison with the existing haptic devices are presented. The kinematic analysis of the robot, design of the components, and manufacturing of the robot are explained as well. Findings - The proposed system is employed to generate a Virtual Sense (VirSense) with fixed-base motors and a spring compensation system for counterbalancing the torques generated by the weight of the links. The fixed bases of the... 

    Barriers to the successful implementation of TQM in Iranian manufacturing organisations

    , Article International Journal of Productivity and Quality Management ; Volume 7, Issue 3 , 2011 , Pages 358-373 ; 17466474 (ISSN) Abdolshah, M ; Abdolshah, S ; Sharif University of Technology
    Abstract
    TQM is a set of management practices throughout the organisation, geared to ensure the organisation consistently meets or exceeds customer requirements. This research tries to investigate the most important barriers to successful TQM implementation in Iranian manufacturing organisations. The authors have studied samples of manufacturing organisations, comprising those that have invested on TQM after the end of March 2009 and were located in Iran. This descriptive and cross-sectional research is carried out via two questionnaires - general questionnaire for success of TQM principles and specific questionnaire for barriers to successful TQM implementation. The statistical population of this... 

    Effects of applying radio frequency identification in supply chain management: An empirical study of manufacturing enterprises

    , Article International Journal of Business Information Systems ; Volume 23, Issue 1 , 2016 , Pages 97-115 ; 17460972 (ISSN) Pesaran Afsharian, S ; Alizadeh, A ; Chehrehpak, M ; Sharif University of Technology
    Inderscience Enterprises Ltd  2016
    Abstract
    Identifying and tracking goods in the supply chain is one of the most important factors influencing supply chain management. This paper is trying to determine the effects of applying radio frequency identification (RFID) to identify items in the supply chain of manufacturing enterprises. To this aim, in this paper, at first, a comprehensive literature review and experts' judgments are employed to identify possible influential factors, and then a questionnaire is conducted for evaluating these factors. This questionnaire filled by about 200 experts of using RFID in manufacturing enterprise. Filled questionnaire used for examination of statistical hypothesis, which examine the impact of this... 

    Multi-criteria optimization of the part build orientation (PBO) through a combined meta-modeling/NSGAII/TOPSIS method for additive manufacturing processes

    , Article International Journal on Interactive Design and Manufacturing ; 2017 , Pages 1-15 ; 19552513 (ISSN) Khodaygan, S ; Golmohammadi, A. H ; Sharif University of Technology
    Abstract
    Additive manufacturing (AM), is a new technology for the manufacturing of the physical parts through an additive manner. In the AM process, the orientation pattern of the part is an important variable that significantly influences the product properties such as the build time, the surface roughness, the mechanical strength, the wrinkling, and the amount of support material. The build time and the surface roughness are the more important criteria than others that can be considered to find the optimum orientation of parts. The designers and manufacturing engineers usually attempt to find an optimum solution to reach the product with high quality at the minimum time. Determining the optimum... 

    Construction cost estimation of spherical storage tanks: artificial neural networks and hybrid regression—GA algorithms

    , Article Journal of Industrial Engineering International ; 2017 , Pages 1-10 ; 17355702 (ISSN) Arabzadeh, V ; Niaki, S. T. A ; Arabzadeh, V ; Sharif University of Technology
    Abstract
    One of the most important processes in the early stages of construction projects is to estimate the cost involved. This process involves a wide range of uncertainties, which make it a challenging task. Because of unknown issues, using the experience of the experts or looking for similar cases are the conventional methods to deal with cost estimation. The current study presents data-driven methods for cost estimation based on the application of artificial neural network (ANN) and regression models. The learning algorithms of the ANN are the Levenberg–Marquardt and the Bayesian regulated. Moreover, regression models are hybridized with a genetic algorithm to obtain better estimates of the... 

    Construction cost estimation of spherical storage tanks: artificial neural networks and hybrid regression—GA algorithms

    , Article Journal of Industrial Engineering International ; Volume 14, Issue 4 , 2018 , Pages 747-756 ; 17355702 (ISSN) Arabzadeh, V ; Akhavan Niaki, S. T ; Arabzadeh, V ; Sharif University of Technology
    SpringerOpen  2018
    Abstract
    One of the most important processes in the early stages of construction projects is to estimate the cost involved. This process involves a wide range of uncertainties, which make it a challenging task. Because of unknown issues, using the experience of the experts or looking for similar cases are the conventional methods to deal with cost estimation. The current study presents data-driven methods for cost estimation based on the application of artificial neural network (ANN) and regression models. The learning algorithms of the ANN are the Levenberg–Marquardt and the Bayesian regulated. Moreover, regression models are hybridized with a genetic algorithm to obtain better estimates of the... 

    Fault tree analysis for reliability evaluation of an advanced complex manufacturing system

    , Article Journal of Advanced Manufacturing Systems ; Volume 17, Issue 1 , March , 2018 , Pages 107-118 ; 02196867 (ISSN) Fazlollahtabar, H ; Akhavan Niaki, S. T ; Sharif University of Technology
    World Scientific Publishing Co. Pte Ltd  2018
    Abstract
    In this paper, minimal paths and cuts technique is developed to handle fault tree analysis (FTA) on the critical components of industrial robots. This analysis is integrated with the reliability block diagram (RBD) approach in order to investigate the robot system reliability. The model is implemented in a complex advanced manufacturing system having autonomous guided vehicles (AGVs) as material handling devices. FTA grants cause and effects and hierarchical properties to the model. On the other hand, RBD simplifies the complex system of the AGVs for reliability evaluation. The results show that due to the filtering of the paths in a manufacturing system for AGVs, the reliability is highly... 

    Reliability optimization of tools with increasing failure rates in a flexible manufacturing system

    , Article Arabian Journal for Science and Engineering ; Volume 44, Issue 3 , 2019 , Pages 2579-2596 ; 2193567X (ISSN) Karimi, B ; Akhavan Niaki, S. T ; Haleh, H ; Naderi, B ; Sharif University of Technology
    Springer Verlag  2019
    Abstract
    Tool reliability is one of the most important issues in a flexible manufacturing system. If a tool fails to operate correctly, the performance of the manufacturing system is reduced, the due date may be violated, or the product quality falls behind the standards. This paper develops a bi-objective mathematical model for tool selection in a flexible manufacturing system in order to optimize both reliability and cost. The tools in these environments are considered to have increasing failure rates as they are used over time; a case closer to reality. This paper aims to evaluate the availability of different tools used in a production system, in which the reliability of a tool is dependent on...