Sharif Digital Repository

Vaccinating the global population against Covid-19 is one of the biggest supply chain management challenges humanity has ever faced. Rapid supply of Covid-19 vaccines is essential for successful global immunization, but its effectiveness depends on a transparent supply chain that can be monitored. In this research, we have proposed an approach based on blockchain technology, which is used to ensure seamless distribution of the Covid-19 vaccine with transparency, data integrity, and full traceability of the supply chain to reduce risk, ensure safety, and immutability. Without a proper mechanism to track and guarantee the authenticity of vaccines, all involved members, including governments,... 

As an abrupt epidemic takes place, most healthcare systems are shocked by the surge in the number of susceptible patients’ demands, and decision-makers mostly rely on their frame of reference to deal with the emergency situation as soon as possible. This paper aims to provide a mathematical model as a reliable support for pharmaceutical supply chain planning for the case of the COVID-19 epidemic. Additionally, it aims to integrate cold and non-cold chains is to take into account various pharmaceuticals and vaccines. To propose a model for planning the pharmaceutical supply chains, a mixed-integer linear programming (MILP) model is used for a four-echelon supply chain design. This model aims... 

One of the main goals in large projects with multiple contractors is to reduce costs in various processes. The complexity of a large project, which is mainly due to the complexity of activities and the existence of interference between different phases and the lack of transparency of activities, can be added to the multiplicity of contractors and the difficulty of proper interface management.As regards that large projects with a large scope of work, have to use several contractors and this issue has a direct impact on increasing project costs, large project management becomes a major challenge that the application of appropriate knowledge, improving processes and skills and tools can play a... 

Forecasting demand has always been one of the main challenges for large manufacturing companies, whose continuity of production and continued existence is closely tied to having a perspective and an image of the future demand for their products. Because the sudden and unexpected encounter with strong impulses on the demand side can cause irreparable damage to such companies. Large steel companies are among the companies whose demand forecasting can be considered as a key component in their profitability. On the other hand, governments also attach great importance to forecasting economic components such as demand and supply. With the help of forecasting, governments can more accurately... 

Risk management is one of the important phases of a project life cycle. There are several quantitative and qualitative methods to determine and plan the proper reaction risks in a project. These methods aim to prevent additional and unnecessary costs. Project managers, stake holders and beneficiaries always believe that risk management of project engineering as one of the importance parts. Although there are multiple methods that can evaluate risk, but there is still research problems especially for risk qualitative and quantitative prediction. This gets more serious after evaluating and minimizing risks effects considering the other risks’ damaging effects which have not been considered. In... 

Organizations in the oil and gas industry often deal with a variety of logistic challenges. These organizations need to utilize innovative technologies like machine learning and other IT-based technologies to reduce costs and help achieve a lower-emissions environment. These industries involve a global supply chain comprised of domestic and international transportation, inventory control, materials handling, import/export facilitation, and information technology. Currently, in these industries, a classic model for executing supply-chain management techniques is considered. However, companies can optimize their supply chains to generate more productivity for better financial returns. Applying... 

One of the key challenges and issues in proper supply chain planning is that decision-making in one area affects other areas, and one-dimensional optimization of goals leads to inefficiency in other goals. One of the problems in this field is the realization of a multi-objective model of simultaneous economic and environmental planning in the supply chain. Accordingly, this study aimed to present a multi-objective model of simultaneous economic and environmental programming in the supply chain based on the goal programming of aggregator algorithms. This study is practical in terms of purpose and it is descriptive and developmental in terms of research method. In this way, using two models of... 

Virtual reality (VR) is a technology which allows a user to interact with a computer-simulated environment, whether that environment is a simulation of the real world or an imaginary world. Virtual reality promotes interaction and perception of the user with the real world. Virtual elements of this technology present information for the user that the user could not identify them before.The term virtual reality is commonly used by the popular media to describe imaginary worlds that only exist in computers and our minds. AR is based on techniques developed in VR and interacts not only with a virtual world but has a degree of interdependence with the real world. Research on the manufacturing... 

There are several types of uncertainty in supply chains that cause some difficulties in the planning of a supply chain. Uncertainty on the supply side can cause interruptions in the quality, quantity, or delivery time of orders. To avoid such interruptions, retailers usually contract with two different suppliers for a common good. In this setting, one of the suppliers has higher reliability and higher price, while the other supplier offers a lower price but has a lower level of reliability. In other words, to ensure a lower level of uncertainty, retailers have to pay more. This is one of the main tradeoffs in the dual sourcing strategy. In this thesis, we consider a two-echelon supply chain... 

Behavioral economics demonstrates that the sentiment can affect the behaviors and financial decisions of people. Can this be generalized to societies? For instance, is it possible for societies to experience emotions that will change their ways of decision making? This thesis attempts to perform an experiment addressing these questions. Bitcoin has been facing a transient phase of price volatilities. Many articles believe that bitcoin does not have an inherent value and is only derived by factors like the perception and acceptance of it and the sentiments among the investors. Digital currencies provide the unique possibility of measuring socioeconomic signals using digital traces.The... 

Nowadays best using of fossil fuels sources of the country (and) importance of comparison against lack of capacity in petrol production make determined the programmers and the directors to foresee and design expanded programs of the goals, to use natural gas for car fuels. To reach fulfillment of these programs, the confirmed needs of the natural gas cylinders are improved and make it essential to invest on producing compressive natural gas cylinders. In this way economical and technical change researches has been done in order to construct on department to produce 200,000 compressive natural gas cylinders in a year during two sets.(shifts) According to the results of technical researches... 

Green project management involves a set of management actions to identify and evaluate the effect of activities on the environment along with controlling and improving performance.Accordingly, the concepts of lean, agility, and resilience have a special place as driving forces since they can play an important role in improving the environment. Thus, this study aimed to identify and prioritize the activities related to green project management considering the concepts of lean, agility, and resilience. The present study identified the dimensions of lean, agility, and resilience for the first time in green project management.Then, this study evaluated the prioritization of activities in terms... 

Building Information Model (BIM) is a process supported by various tools, technologies, and contracts, including the production and management of a digital display of the physical and functional characteristics of sites. The BIM has been affected highly by the state of the art in digital design techniques and is focused as one of the mainstays of the 4th industrial revolution era. Integration of BIM in the processes related to the design, construction, and operation of buildings is practically made according to the aspects of environmental sustainability. Considering the Internet of Things (IoT) paradigm in Industry 4.0, it seems that the BIM concept can be more effectively and efficiently... 

One of the crucial matters in the area of Supply Chain Management is the ability of a supply chain to act and react under different circumstances. A helpful tool to understand the supply chain is simulation modeling. With the help of simulation modeling, we can provide the opportunity for the agents in a model to perform based on the defined environment.In the current research, a complete literature review is performed on the topics of supply chain planning and various distribution models and algorithms. With the focus on the vaccine as a critical item, we propose a model to distribute vaccines based on the degree of agents, and we realize that vaccine distribution, while facing huge demand... 

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... 

In this paper, we introduce a novel decision making strategy on how to assign markets to a multi-item newsvendor’s problem. We present a new formulation method based on the integration of news-vendor problem and dynamic programming approach alongside an efficient solution method. Suppose there are n distinct products and corresponding time intervals for selling them in different markets. These products will be worthless (perishable) at the end of each interval. Our proposed framework represents a trade-off between costs associated with staying in a market for further periods and costs of relocating the business in a new market. The objective is to maximize the total profit of our decisions... 

In this paper we study a two-echelon system including a vendor and a serviceprovider in customer-intensive services which introduced by Anand et al. (2011). Customers wish for high quality of service, which leads to longer service time for the service-provider. In the other hand, longer service times can cause to longer waiting time which is not desired for customers. So, tradeoff between service rate and quality of service/or product is critical. The market demand is according to Poisson process. The vendor will immediately send the order to the service-provider which works as a M/M/1 production system. The transportation time between the service-provider and vendor controlled by the... 

Predicting oil prices, especially in exporting countries, will help governments in the policy-making process by obtaining a reliable estimate of oil revenues. The existence of a complex mechanism governing the process of oil price formation has reduced the efficiency of linear models in forecasting and led researchers to use nonlinear intelligent systems to predict oil prices. In this study, after a detailed study of the structure of artificial neural network, two models of neural network GMDH and MLP and ARIMA method have been used to predict oil price. There are important factors in the prediction process with neural networks, and if all these factors are selected correctly; One can expect... 

Today, the major part of the capital of each country, especially developing countries, is devoted to its construction and construction projects. On the other hand, one of the growth and economic factors of any society is the success of its development projects. In fact, one of the activities of developing countries to build economic infrastructure is the implementation of infrastructure development projects that account for the bulk of the country's budget annually, and therefore the principled planning of these projects is from the requirements and it is necessary to achieve the lowest cost-to-productivity ratio. In Iran, which is considered as a developing country, a significant amount is... 

Although, planning and control systems improved, but most of projects have some Problems such as long time and high cost. In project oriented organizations which Perform several projects have more problems. An important reason of these Problems is lack of skill and competency of executive factors and project managers In planning and control. These persons are chosen base on organization Relationship, not systematically. One way to become successful in projects is Chose and assessment of project managers and executes in right way. "System of Competency and assessment of project manager" is offered to solve this problem. According to this system, at first projects are defined and grouped base...