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    Strategies for protecting supply chain networks against facility and transportation disruptions: An improved Benders decomposition approach

    , Article Annals of Operations Research ; Volume 210, Issue 1 , 2013 , Pages 125-163 ; 02545330 (ISSN) Azad, N ; Saharidis, G. K. D ; Davoudpour, H ; Malekly, H ; Yektamaram, S. A ; Sharif University of Technology
    2013
    Abstract
    Disruptions rarely occur in supply chains, but their negative financial and technical impacts make the recovery process very slow. In this paper, we propose a capacitated supply chain network design (SCND) model under random disruptions both in facility and transportation, which seeks to determine the optimal location and types of distribution centers (DC) and also the best plan to assign customers to each opened DC. Unlike other studies in the extent literature, we use new concepts of reliability to model the strategic behavior of DCs and customers at the network: (1) Failure of DCs might be partial, i.e. a disrupted DC might still be able to serve with a portion of its initial capacity (2)... 

    Kinetic studies of Bisphenol A in aqueous solutions by enzymatic treatment

    , Article International Journal of Environmental Science and Technology ; Volume 16, Issue 2 , Febraury , 2018 , Pages 821–832 ; 17351472 (ISSN) Ghobadi Nejad, Z ; Borghei, S. M ; Yaghmaei, S ; Sharif University of Technology
    Center for Environmental and Energy Research and Studies  2018
    Abstract
    Bisphenol A (BPA), which is a major component in the production of various consumer products, is one of the most significant endocrine-disrupting chemicals. In this research, the biocatalytic elimination of Bisphenol A using laccase produced by Phanerochaete chrysosporium was examined and optimized. The response surface methodology was used to study the effect of independent variables such as pH, temperature, initial laccase activity, initial Bisphenol A concentration, and the interactive effects of each variable on the removal of Bisphenol A and residual enzyme activity. Based on response surface plots, the maximum Bisphenol A removal (93%) was detected at a pH value of 8, temperature 40... 

    Demand Risk Management in an Online Retailing Supply Chain

    , M.Sc. Thesis Sharif University of Technology Hosseini Golchi, Arash (Author) ; Kianfar, Farhad (Supervisor)
    Abstract
    Fast penetration of internet among people caused serious changes in businesses and helped them to migrate from classic systems to modern trades. Beside considerable benefits of this evolution like decreasing costs, increasing efficiency, increasing reliability, expanding market and ease of customer relationship management, some risks endanger life a business. Retailers as the last ring if a business chain, mainly encounters a hardship of risks. In this study, after identifying and prioritizing possible risks demand risk identified as the most important point to focus. After analyzing this risk, we try to propose mitigation solutions  

    Comparing the Efficiency of Supply Chain Coordinating Contracts in the Presence of Demand Disruption

    , M.Sc. Thesis Sharif University of Technology Saeedi, Ardavan (Author) ; Eshghi, Kourosh (Supervisor)
    Abstract
    In this research we investigate the effect of demand disruption on coordinating a supply chain with one manufacturer and one retailer competing with a manufacturer. For this purpose we consider two kinds of demand function: 1) a demand function which determines the demand deterministically and 2) a demand function with a random factor which determines the demand stochastically. Also we assume that in competition between retailer and competing manufacturer, retailer possesses more power than his rival in the market. In order to study the effect of demand disruption on coordinating the supply chain, first we consider coordination without demand disruption by using linear quantity discount and... 

    Market orientation, market disruptiveness capability and social enterprise performance: An empirical study from the United Kingdom

    , Article Journal of Business Research ; Volume 96 , 2019 , Pages 47-60 ; 01482963 (ISSN) Bhattarai, C. R ; Kwong, C. C. Y ; Tasavori, M ; Sharif University of Technology
    Elsevier Inc  2019
    Abstract
    This study investigates whether and how the pursuit of certain commercial business practices such as market orientation and market disruptiveness capability improves both the economic performance and social performance of social enterprises. Based on the empirical data collected from 164 UK social enterprises, our results show that market orientation improves social performance and economic performance simultaneously, whereas market disruptiveness capability improves only the economic performance, not the social performance, of social enterprises. However, we found a positive interaction effect of market disruptiveness capability and market orientation on social performance, while its effect... 

    Supplier selection and order allocation in CLSC configuration with various supply strategies under disruption risk

    , Article OPSEARCH ; Volume 57, Issue 3 , 2020 , Pages 908-934 Rezaei, S ; Ghalehkhondabi, I ; Rafiee, M ; Namdar Zanganeh, S ; Sharif University of Technology
    Springer  2020
    Abstract
    Supplier selection and order allocation are important keys for reverse logistics and closed-loop supply chain networks especially with the presence of demand–supply imbalance risks. If such uncertainties and risks are not foreseen in the chain, and corresponding appropriate measures are not taken to handle them, irreparable damages would be expected consequently. The importance of this issue in closed-loop supply chains is more appreciated due to the importance and the effect of this chain on the environment. In this research, the disruption risk and the uncertainties related to the demand, market price, and the number of returned products are simultaneously considered. Purchasing from the... 

    Time-variant seismic risk analysis of transportation networks considering economic and socioeconomic impacts

    , Article Journal of Earthquake Engineering ; 2018 , Pages 1-29 ; 13632469 (ISSN) Yazdi Samadi, M. R ; Mahsuli, M ; Sharif University of Technology
    Taylor and Francis Ltd  2018
    Abstract
    This paper puts forward a new methodology for time-variant seismic risk analysis of transportation networks. Risk here denotes the probability of exceeding the sum of direct loss due to repair costs of bridges in the network and indirect loss due to the reduced capacity for traffic flow. The proposed methodology employs reliability methods and a host of probabilistic models for earthquake events, damage, repair cost, downtime, and travel time, while accounting for time-varying phenomena of aging and discounting. A comprehensive application on the transportation network of Isfahan, Iran, is presented that features 64 bridges subject to seismicity from seven sources. © 2018 Taylor & Francis... 

    A Dynamic Model for Reliable Inventory Systems with Multiple Types of Remanufacturable Products

    , M.Sc. Thesis Sharif University of Technology Haddad Sisakht, Ali (Author) ; Shavandi, Hassan (Supervisor)
    Abstract
    Dealing with different supply chain risks and how firms should prepare against them has become an important issue in real world application. In this paper, we propose a periodic model to fortify supply chain structure against disruption by remanufacturing different types of returned products at first priority and manufacturing raw materials at second priority only if it is necessary. Additionally, our approach to model disruption is that there are two kinds of facilities for manufacturing/ remanufacturing centers. The first one is reliable and the second one is unreliable. Therefore, in this paper, we formulate and solve a reliable discrete dynamic linear programming with different types of... 

    Kinetic studies of Bisphenol A in aqueous solutions by enzymatic treatment

    , Article International Journal of Environmental Science and Technology ; Volume 16, Issue 2 , 2019 , Pages 821-832 ; 17351472 (ISSN) Ghobadi Nejad, Z ; Borghei, S. M ; Yaghmaei, S ; Sharif University of Technology
    Center for Environmental and Energy Research and Studies  2019
    Abstract
    Bisphenol A (BPA), which is a major component in the production of various consumer products, is one of the most significant endocrine-disrupting chemicals. In this research, the biocatalytic elimination of Bisphenol A using laccase produced by Phanerochaete chrysosporium was examined and optimized. The response surface methodology was used to study the effect of independent variables such as pH, temperature, initial laccase activity, initial Bisphenol A concentration, and the interactive effects of each variable on the removal of Bisphenol A and residual enzyme activity. Based on response surface plots, the maximum Bisphenol A removal (93%) was detected at a pH value of 8, temperature... 

    Codification of Reliability Evaluation Software in UAVs Industry

    , M.Sc. Thesis Sharif University of Technology Mirzaei, Payman (Author) ; Banazadeh, Afshin (Supervisor)
    Abstract
    In every modern society, the engineers and technical managers are in charge of planning, designing, manufacturing and utilizing the simplest products to the most complex systems. This shows the importance of reliability management in engineering systems. Inattention to the reliability of such systems leads to the difficulty or even impossibility in planning or utilizing them. Malfunction of products and systems results in disruption in different levels and can be regarded as a severe threat to society and environment.
    Therefore, consumers and general public expect products and systems to be durable, reliable and safe. Thus, the main question is how safe and how reliable the system will... 

    The Inventory-Location Model under Disruption Risk

    , M.Sc. Thesis Sharif University of Technology Farahani, Maryam (Author) ; Shavandi, Hassan (Supervisor)
    Abstract
    In this research we study multi-commodity inventory-location problem under disruption risk that is formulated to a nonlinear integer-programming model. The objective function of this model is minimization of inventory and location costs simultaneously under disruption risk. These disruptions may be caused by natural events such as earthquake, flood, fire and man-made sources like labor strike or terrorist attack. The structural design of a supply chain greatly affects how these kinds of disruption risks influence the network. In this regard, this study proposes a strategy to reduce the impacts of disruption risk by considering substitute commodity in the multi-commodity inventory-location... 

    Selection of Resilience Supply Portfolio with Uncertainties

    , M.Sc. Thesis Sharif University of Technology Nowrozian, Arash (Author) ; Rafie, Majid (Supervisor)
    Abstract
    Supplier selection and order quantity allocation problem is one of the most complex making decision problems comes into account. In the past, supplier selection done based on criteria such as price, quality and delivery time. Today's supply chains with the aim of expanding business activities and improving their performances, Follow process such as outsourcing, product development, and selection of multi-supplier strategies. This conditions will bring opportunities and threats for supply chains. One of the possible risks to supply chains are disruption risks and disruption has been a great concern in the past decade and disruption of suppliers are one of the new topics that have recently... 

    Multi-Echelon Mixed-loop Supply Chain Network Design under Disruption Conditions

    , M.Sc. Thesis Sharif University of Technology Beheshti, Saeed (Author) ; Haji, Rasoul (Supervisor) ; Haji, Alireza (Supervisor)
    Abstract
    Fulfilling the demands of customers, used to be the main purpose of Supply Chain Network Designers. Soon after that, the environmental concerns created the concept of Reverse Logistic in order to prevent goods from being scattered in the environment after their disposal. Governmental regulations and people's concerns, forced the factories to gather the created pollutions of the environment. They gradualy confessed the positive impacts of these ruturns on their financials. The flow of forward and reverse logistics establishes a Closed-Loop in which the returning economical circumstances were transferd into original factories. Later, Open-Loops were created. In open-loops the returns have to... 

    Investigating the Robustness of Scale Free Supply Networks by Using the Concept of Assortative and Disassortative Networks

    , M.Sc. Thesis Sharif University of Technology Fallahi, Farnaz (Author) ; Koorosh, Eshghi (Supervisor)
    Abstract
    Supply networks are often faced with disruptions that hampered the flow of goods, and have brought irreparable consequences. In this thesis, we evaluate the robustness of three echelon scale free supply chain networks consist of manufacturers, distributers and retailers from the perspective of complex network topologies and investigate the effect of assortativity and disassortativity level on the robustness of scale free supply networks. For this purpose, we use the degree preserving rewiring approach in order to increase and decrease assortativity and disassortativity of scale free networks. Then we use metrics in order to investigate the robustness and flexibility of supply networks and... 

    Developing Optimization Models for Promotion Planning

    , Ph.D. Dissertation Sharif University of Technology Bigdellou, Saeideh (Author) ; Modarres Yazdi, Mohammad (Supervisor) ; Aslani, Shirin (Co-Supervisor)
    Abstract
    Sales promotion plays an important role in increasing the profit, attraction, and retention of consumers. Temporary discounts are a popular promotional tactic that is applied in diverse situations. In this study, we examine some situations to determine optimal decisions. In the first scenario, promotions are implemented during predetermined periods, and the seller determines optimal pricing to achieve two separate objectives: maximizing profit and managing demand (clearance sales). We propose generalized inverse optimization models that determine discounted prices to make the given promotion timing as close to optimal as possible. The efficacy of our approach is demonstrated through... 

    The Effect of Disruptive Innovations on the Sectoral System of Innovation: A Case Study of VODs in Iran

    , M.Sc. Thesis Sharif University of Technology Yazdizadeh Kharrazi, Fatemeh (Author) ; Miremadi, Iman (Supervisor) ; Honarvar, Rouhollah (Co-Supervisor)
    Abstract
    Video-on-demand platforms are a type of disruptive innovation that has transformed the audiovisual industry by providing users with access to digital video content via the Internet. VOD platforms were introduced in Iran in the Iran, with a focus on analyzing changes in the industry's sectoral innovation system. Data was collected through unstructured interviews with 14 experts in the audiovisual industry, as well as by reviewing relevant documents, news articles, and public data. Thematic analysis was used to code the findings. The results of the research indicate that the emergence and development of VODs have had a significant impact on all aspects of the audiovisual industry's sectoral... 

    An Optimization Model for Train Rescheduling Problem in a Disrupted Rail Network

    , M.Sc. Thesis Sharif University of Technology Bafandkar, Shayan (Author) ; Shafahi, Yousef (Supervisor)
    Abstract
    Nowadays a lot of people from all around the world travel by inter-city trains and this phenomenon is the direct result of the fact that this travel mode is more affordable and relatively comfortable in comparison to other modes. Furthermore, recent developments such as the emergence of high-speed rail lines have made rail transportation able to compete with other means of transportation such as airplanes. Therefore, the practice of maximizing train networks’ resilience against probable disruptions has drawn significant attention to itself. This study introduces a novel methodology in which train network resilience can be maximized through three stages. In the first stage, the critical nodes... 

    Microstructural developments and electrical properties of novel coarse-grained SnO2 varistors obtained by CuO addition for low-voltage applications

    , Article Ceramics International ; Volume 44, Issue 15 , 2018 , Pages 18478-18483 ; 02728842 (ISSN) Maleki Shahraki, M ; Mahmoudi, P ; Golmohammad, M ; Delshad Chermahini, M ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    This research focused on making novel low-voltage SnO2 varistors by CuO addition on conventional high-voltage SnO2 varistors. Moreover, the withstand surge capability of samples was studied. The results showed that CuO addition enhances grain growth of SnO2 and coarse-grained SnO2 varistors with simple microstructures were acquired in 1 mol% CuO-doped sample. This coarse-grained SnO2 varistor presented a high nonlinear coefficient (23) and low leakage current density (23 µA/cm2) with low breakdown field value of 0.6 kV/cm. Despite the large grain size, the low residual voltage ratio (2.3) was obtained for this sample compared to the CuO-free sample. The decrease in grain electric resistivity... 

    A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)

    , Article Transportation Research Part E: Logistics and Transportation Review ; Volume 138 , June , 2020 Govindan, K ; Mina, H ; Alavi, B ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    The disasters caused by epidemic outbreaks is different from other disasters due to two specific features: their long-term disruption and their increasing propagation. Not controlling such disasters brings about severe disruptions in the supply chains and communities and, thereby, irreparable losses will come into play. Coronavirus disease 2019 (COVID-19) is one of these disasters that has caused severe disruptions across the world and in many supply chains, particularly in the healthcare supply chain. Therefore, this paper, for the first time, develops a practical decision support system based on physicians' knowledge and fuzzy inference system (FIS) in order to help with the demand... 

    Time-variant seismic risk analysis of transportation networks considering economic and socioeconomic impacts

    , Article Journal of Earthquake Engineering ; Volume 24, Issue 5 , March , 2020 , Pages 745-773 Yazdi Samadi, M. R ; Mahsuli, M ; Sharif University of Technology
    Taylor and Francis Ltd  2020
    Abstract
    This paper puts forward a new methodology for time-variant seismic risk analysis of transportation networks. Risk here denotes the probability of exceeding the sum of direct loss due to repair costs of bridges in the network and indirect loss due to the reduced capacity for traffic flow. The proposed methodology employs reliability methods and a host of probabilistic models for earthquake events, damage, repair cost, downtime, and travel time, while accounting for time-varying phenomena of aging and discounting. A comprehensive application on the transportation network of Isfahan, Iran, is presented that features 64 bridges subject to seismicity from seven sources. © 2018, © 2018 Taylor &...