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    Modeling and solving a bi-objective joint replenishment-location problem under incremental discount: MOHSA and NSGA-II

    , Article Operational Research ; 2018 ; 11092858 (ISSN) Pasandideh, S. H. R ; Akhavan Niaki, S. T ; Abdollahi, R ; Sharif University of Technology
    Springer Verlag  2018
    Abstract
    In this paper, the joint replenishment-location problem of some distribution centers (DCs) with a centralized decision maker who is responsible for ordering and dispatching shipments of a single product is modeled. The warehouse spaces of the DCs are limited and the product is sold under an incremental discount policy. The model seeks to minimize the total cost of the supply chain under the joint replenishment policy along with minimizing the cost of locating the DCs in potential sites as the first objective. The second objective is to minimize the warehouse space of all DCs using the revisable approach. As the proposed model is a bi-objective integer non-linear optimization problem... 

    Modeling and solving a bi-objective joint replenishment-location problem under incremental discount: MOHSA and NSGA-II

    , Article Operational Research ; Volume 20, Issue 4 , 2020 , Pages 2365-2396 Pasandideh, S.H.R ; Akhavan Niaki, S. T ; Abdollahi, R ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2020
    Abstract
    In this paper, the joint replenishment-location problem of some distribution centers (DCs) with a centralized decision maker who is responsible for ordering and dispatching shipments of a single product is modeled. The warehouse spaces of the DCs are limited and the product is sold under an incremental discount policy. The model seeks to minimize the total cost of the supply chain under the joint replenishment policy along with minimizing the cost of locating the DCs in potential sites as the first objective. The second objective is to minimize the warehouse space of all DCs using the revisable approach. As the proposed model is a bi-objective integer non-linear optimization problem... 

    A novel optimized design of a piezoelectric-driven 4-stage amplified compliant microgripper using a 2-step multi-objective algorithm

    , Article SN Applied Sciences ; Volume 4, Issue 4 , 2022 ; 25233971 (ISSN) Haghshenas Gorgani, H ; Shabani, S ; Honarmand, M ; Sharif University of Technology
    Springer Nature  2022
    Abstract
    Abstract: Advancements in microscale technologies have prompted a demand for high precision micro-manipulation. Microgrippers are the primary means of conducting micro-scale operations, and they significantly affect the procedure's performance. This paper presents a novel optimized design for compliant microgrippers, intending to enhance functionality and durability. The mainframe of the proposed microgripper is based on a compact flexure-based compliant structure with four stages of movement amplification. Experiments were designed based on the L25 Taguchi orthogonal arrays. The experiments were conducted using the finite element method in Abaqus 6.14 workbench. Range of motion and maximum... 

    Multidisciplinary design of a guided flying vehicle using simplex nondominated sorting genetic algorithm II

    , Article Structural and Multidisciplinary Optimization ; Volume 57, Issue 2 , February , 2018 , Pages 705-720 ; 1615147X (ISSN) Zandavi, S. M ; Pourtakdoust, S. H ; Sharif University of Technology
    Springer Verlag  2018
    Abstract
    This paper presents design of a typical Guided Flying Vehicle (GFV) using the multidisciplinary design optimization (MDO). The main objectives of this multi-disciplinary design are maximizing the payload’s weight as well as minimizing the miss distance. The main disciplines considered for this design include aerodynamics, dynamic, guidance, control, structure, weight and balance. This design of GFV is applied to three and six Degree of Freedom (DOF) to show comparison of simulation results. The hybrid scheme of optimization algorithm is based on Nelder-Mead Simplex optimization algorithm and Nondominated Sorting Genetic Algorithm II (NSGA II), called Simplex-NSGA II. This scheme is... 

    Location Allocation Problems Under Uncertainty

    , M.Sc. Thesis Sharif University of Technology Mohammadi Vojdan, Roshanak (Author) ; Akhavan Niaki, Mohammad Taghi (Supervisor)
    Abstract
    The multi-facility location-allocation problem is concerned with locating m facilities in the Euclidian plane and allocating n customers to them at minimum total cost. In this work, we focus on a probabilistic version of the problem, in which the locations of the customers and their arrivals are probabilistically distributed. We first formulate the problem as a continuous location-allocation problem. Then, we give an approximated discrete model in which facilities can be located on a set of candidate points. The proposed model has two objective functions which can be calculated only through simulation. Considering the NP-hard nature of the problem and the functions’ unique properties, we use... 

    Bi-objective optimisation of the joint replenishment problem in a two-echelon supply chain

    , Article International Journal of Services and Operations Management ; Volume 38, Issue 3 , 2021 , Pages 336-359 ; 17442370 (ISSN) Ahmadi, P ; Pasandideh, S. H. R ; Cárdenas Barrón, L. E ; Akhavan Niaki, S. T ; Sharif University of Technology
    Inderscience Publishers  2021
    Abstract
    In this research, a bi-objective optimisation model for the joint replenishment problem (JRP) of a supply chain comprised of a single supplier and multiple retailers is developed, in which the retailers are assumed to be members of a unique distribution company. The mathematical model minimises the supplier's as well as the retailers' cost subject to some constraints. The constraints are the required storage spaces for any retailer, for any product, and for all the products. The benefit of using the JRP policy is shown based on minimising total cost of supplier and retailers. Since the developed model of the problem is NP-hard, the multi-objective meta-heuristic optimisation algorithm of... 

    Bi-objective optimisation of the joint replenishment problem in a two-echelon supply chain

    , Article International Journal of Services and Operations Management ; Volume 38, Issue 3 , 2021 , Pages 336-359 ; 17442370 (ISSN) Ahmadi, P ; Pasandideh, S. H. R ; Cárdenas Barrón, L.E ; Akhavan Niaki, S. T ; Sharif University of Technology
    Inderscience Publishers  2021
    Abstract
    In this research, a bi-objective optimisation model for the joint replenishment problem (JRP) of a supply chain comprised of a single supplier and multiple retailers is developed, in which the retailers are assumed to be members of a unique distribution company. The mathematical model minimises the supplier's as well as the retailers' cost subject to some constraints. The constraints are the required storage spaces for any retailer, for any product, and for all the products. The benefit of using the JRP policy is shown based on minimising total cost of supplier and retailers. Since the developed model of the problem is NP-hard, the multi-objective meta-heuristic optimisation algorithm of... 

    Hybrid bi-objective economic lot scheduling problem with feasible production plan equipped with an efficient adjunct search technique

    , Article International Journal of Systems Science: Operations and Logistics ; 2022 ; 23302674 (ISSN) Kayvanfar, V ; Zandieh, M ; Arashpour, M ; Sharif University of Technology
    Taylor and Francis Ltd  2022
    Abstract
    In this research, the economic lot scheduling problem (ELSP), as an NP-hard problem in terms of a bi-objective approach considering deteriorating items and shortage, is studied. The goal is to simultaneously minimise ‘setup and inventory holding costs, comprising deterioration’, and ‘total amount of units facing shortage throughout every period. Two policies besides a heuristic method are employed simultaneously, named extended basic period and Power-of-Two (PoT), to make sure of having feasible replenishment cycles. For handling the considered problem, three multi-objective techniques are employed: non-dominated sorting genetic algorithm II (NSGAII), non-dominated ranking genetic algorithm... 

    On the use of pumped storage for wind energy maximization in transmission-constrained power systems

    , Article IEEE Transactions on Power Systems ; Vol. 30, issue. 2 , 2015 , p. 1017-1025 ; ISSN: 8858950 Hozouri, M. A ; Abbaspour, A ; Fotuhi-Firuzabad, M ; Moeini-Aghtaie, M ; Sharif University of Technology
    Abstract
    Owing to wind power inherent characteristics and technical constraints of power systems operation, a considerable amount of wind energy cannot be delivered to load centers and gets curtailed. Transmission congestion together with temporal mismatch between load and available wind power can be accounted as the main reasons for this unpleasant event. This paper aims to concentrate on the wind energy curtailment for which it provides a combinatorial planning model to maximize wind power utilization. Jointly operating the wind power generation system with pumped hydro energy storage (PHES), the planning procedure tries to reach schemes with the minimum level of wind energy curtailment as well as... 

    Optimal siting of DG units in power systems from a probabilistic multi-objective optimization perspective

    , Article International Journal of Electrical Power and Energy Systems ; Volume 51 , 2013 , Pages 14-26 ; 01420615 (ISSN) Dehghanian, P ; Hosseini, S. H ; Moeini Aghtaie, M ; Arabali, A ; Sharif University of Technology
    2013
    Abstract
    Along with the increasing demand for electrical power, distributed generations (DGs) have so far found their pivotal roles in the restructured environment of power distribution systems. As an indispensable step toward a more reliable power system, the DGs optimal allocation strategy, deemed to be the most techno-economically efficient scheme, comes to the play and is profoundly taken under concentration in this study. This paper devises a comprehensive multi-objective (MO) optimization approach by which all the crucial and maybe contradictory aspects of great influence in the placement process can be accounted for. Total imposed costs, total network losses, customer outage costs as well as... 

    On the use of pumped storage for wind energy maximization in transmission-constrained power systems

    , Article IEEE Transactions on Power Systems ; Volume 30, Issue 2 , 2015 , Pages 1017-1025 ; 08858950 (ISSN) Hozouri, M. A ; Abbaspour, A ; Fotuhi Firuzabad, M ; Moeini Aghtaie, M ; Sharif University of Technology
    Abstract
    Owing to wind power inherent characteristics and technical constraints of power systems operation, a considerable amount of wind energy cannot be delivered to load centers and gets curtailed. Transmission congestion together with temporal mismatch between load and available wind power can be accounted as the main reasons for this unpleasant event. This paper aims to concentrate on the wind energy curtailment for which it provides a combinatorial planning model to maximize wind power utilization. Jointly operating the wind power generation system with pumped hydro energy storage (PHES), the planning procedure tries to reach schemes with the minimum level of wind energy curtailment as well as... 

    A multi-objective framework for enhancing the reliability and minimizing the cost of PMU deployment in power systems

    , Article Scientia Iranica ; Volume 23, Issue 6 , 2016 , Pages 2917-2927 ; 10263098 (ISSN) Aminifar, F ; Safdarian, A ; Fotuhi-Firuzabad, M ; Shahidehpour, M ; Sharif University of Technology
    Sharif University of Technology  2016
    Abstract
    Wide-Area Monitoring, Protection, And Control (WAMPAC) is a key factor in the implementation of smart transmission grids. WAMPAC has a crucial role in detection and prevention of widespread events with an ultimate goal of improving the electricity service reliability. Several mathematical techniques were proposed for the Optimal Phasor Measurement Units (PMU) Placement (OPP) problem which represents the first step toward the development of WAMPAC. These techniques consider either the solution to the network observability or realization of specific PMU applications. This paper proposes a multi-objective framework for OPP which emphasizes the reliability of power systems. The objective... 

    Dynamic modeling, optimized design, and fabrication of a 2DOF piezo-actuated stick-slip mobile microrobot

    , Article Mechanism and Machine Theory ; Volume 133 , 2019 , Pages 514-530 ; 0094114X (ISSN) Asmari Saadabad, N ; Moradi, H ; Vossoughi, G. R ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    This paper proposes an optimized design for a 2DOF linear-motion mobile microrobot. The forward motion of the microrobot is achieved by simultaneous excitation of the vertical and horizontal oscillators that create the stick-slip locomotion. Dynamic equations of motion for the microrobot are derived and simplified based on Coulomb friction. The horizontal and vertical elements are connected to the main mass by piezoelectric actuators and are set in oscillatory motion by applying a harmonic voltage to the actuators. The design parameters, including the perpendicularly-mounted masses, frequency, and phase difference of the excitations are tuned in order to achieve high locomotion velocity and... 

    Transmission Expansion Planning for Implementing Distant Wind Power Plants

    , M.Sc. Thesis Sharif University of Technology Moeini Aghtaie, Moein (Author) ; Abbaspour Tehrani Fard, Ali (Supervisor) ; Fotuhi Firuzabad, Mahmud (Supervisor)
    Abstract
    Increasing the fuel cost and concerns about pollutions have facilitated the use of renewable energies. Wind power as a renewable energy has been considered as a good representative for conventional resources of electrical energy. The biggest obstacles for efficient use of the wind energy are changeability and uncontrollability in wind farm generation and to be far from the demand center. Also, conventional approaches cannot be applied to analyze the effects of this energy on power system. With increment in the penetration of the wind energy in power system, the necessity of considering its effects, especially large scale wind farm, in transmission expansion planning (TEP) studies is... 

    Design Optmization Methodology of High Pressure Axial Compressors

    , M.Sc. Thesis Sharif University of Technology Saeedipour, Mahdi (Author) ; Ghorbanian, Kaveh (Supervisor)
    Abstract
    Optimization methodologies with an emphasis on turbomachinery applications are of great interest. In the present study, a framework is proposed for the multi-objective optimization of a compressor blade using a coupled approximator and optimizer modules, as a mean for lowering the vast computational costs. The proposed framework consists of three main units: a CFD solver, an approximator unit, and an optimizer module. In this regard, a multi-layer perceptron artificial neural network is used as the approximator module while a multi-objective genetic algorithm, the non-dominated sorting genetic algorithm-NSGA II, is employed as the optimizer unit of the framework. In addition, a commercial... 

    Multi-Objective Optimization in Cost, Time and Quality Trade-off in Projects with Quality Obtained by Locally Linear Neuro Fuzzy Networks Case Study: Well Drilling Projects

    , Ph.D. Dissertation Sharif University of Technology Mohammad Alipour Ahari, Roya (Author) ; Akhavan Niaki, Taghi (Supervisor)
    Abstract
    A common decision in project management is the selection of contractors to simultaneously optimize three objectives of the project’s triangle. This issue becomes more important if there is more monetary value involved or there is limited number of capable contractors. In project planning, there is numerous choices for tasks; each with specific time, cost and quality. There is no trade-off problem, if one of the choices has the best time, cost, and quality, simultaneously. However, as these criteria do not generally work in a unique direction, it makes the selection decision difficult. A contractor who performs the projects on time may have higher cost and lower quality. Given that there is a... 

    Location and Scheduling Trucks at Cross Docking Systems

    , M.Sc. Thesis Sharif University of Technology Esmaeeli, Ehasn (Author) ; Hajji, Alireza (Supervisor)
    Abstract
    Given the increased competition in supply chains and enlargement of their scale along with increasingly significant role of distribution systems, design and optimization of novel systems with comprehensive approaches in a timely manner has become important more than ever. One of such modern, efficient systems is cross docking in which the distribution network is omitted and thus operations are carried out faster and the productivity is increased. In this system, processes like packaging is done in cross docking and the goods and products are directly sent to customers. This study investigates a long-term and a short-term approach to the design of in two distinct problems. In the first... 

    Stochastic Location Based Method Workflow Planning in Construction Project

    , M.Sc. Thesis Sharif University of Technology Ghannad, Pedram (Author) ; Mortaheb, Mohammad Mehdi (Supervisor)
    Abstract
    Most construction projects contain activities repeated in project units or locations with definite consequence. These kinds of projects are called repetitive projects. One of the fundamental objectives of planning and scheduling of repetitive projects is using resources optimally and without interruption, a concept known as continuous workflow. Traditional planning and scheduling methods like Critical Path Method (CPM) are criticized for their disability to produce a reliable workflow. Ignoring the concept of workflow in project schedule causes time and cost overrun that arise from additional waiting times and also increase the risk of accessibility to resources on time. Therefore in this... 

    A Novel Model for Optimization of Operation and Routing Service Composition in Cloud Manufacturing Considering the Joint Mechanisms in OPCs

    , M.Sc. Thesis Sharif University of Technology Agha Mohammadzadeh, Ehsan (Author) ; Fatahi Valilai, Omid (Supervisor)
    Abstract
    In recent years, economic globalization and resource globalization as two key factors have driven organizations to adjust their processes to survive in the competitive environments. Also, customers have been provided with high-quality products, lower cost, product customization and quick delivery. Moreover, globalization has let suppliers to geographically distribute across the globe, and for accomplishing the final product resources need to be gathered. Distributed infrastructure enables organizations to decrease delivery time and increase flexibility but leads to higher investment costs and lower efficiency of the system. For responding to existing issues Cloud manufacturing has been... 

    Sustainable Reverse Logistics Network for Separated Recyclable Household Waste

    , M.Sc. Thesis Sharif University of Technology Amini, Sasan (Author) ; Akbari Jokar, Mohammad Reza (Supervisor)
    Abstract
    In this study we addressed the problem of separated waste management. Investigating the literature on location routing problem, reverse logistics, waste management, and countries’ performance in the field, we proposed a novel method for gathering household waste that inspired from prosperous metropolises and took into account the particular situations of developing countries. As a matter of fact, the proposed method is an extension of location routing problem; it’s a bi-echelon network of facilities and multi-compartment vehicles connected via reverse cross docks. The problem is formulated using a mixed-integer linear model with 3 economic, social, and environmental functions; with respect...