Sharif Digital Repository

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... 

This Thesis presents a robust network design model for supplying blood during and after an earthquake disaster. A two stage optimization model based on several real-world scenarios is developed. The purpose of this research is to locate and allocate fixed and mobile facilities in probabilistic situation, in which Tehran city with 22 districts is considered as a case study. This model can be categorized as a probabilistic model which demand and supply rate for blood and its derivatives is uncertain. Furthermore the blood transition between different blood types and conversion to its derivatives such as Platelet and plasma are involved in the proposed model. The supply chain for blood consists... 

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... 

Process mining is a relatively new field that falls under the umbrella of computational intelligence. The algorithms in this field and process discovery, despite significant advancements, have not yet reached full maturity and have great potential for improvement. This study aims to review the most common applications of machine learning in business and to use process mining and process discovery algorithms to identify and analyze business processes. In addition, a comparison of algorithms based on the input, output, and model accuracy is presented. In the next stage, I will conduct statistical analyses related to a case study and gather relevant information from the study site to analyze... 

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... 

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... 

One of the most important successes of factories is to pay attention to the production program. Production of lip program products in the dairy industry is possible in some ways, but only if production conditions and other factors are successful in planning to help progress. The dairy industry, as a fast-moving consumer goods with lower profit margins and less durability than other products, and the possibility of return and reverse logistics, needs a well-codified, practical and correct planning to be done with the least performance of the logistics process. In this way, the individual flexibility of the production process is also considered, so that production with cost and labor and... 

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... 

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,... 

This study aims to develop a mathematical model for the equitable distribution of the drug or vaccine needed in a critical situation like the COVID-19 epidemic. This study has taken a unique look at the human dimension of social issues such as the cost of deprivation and equality. It seeks to ensure a fair vaccine distribution among priority groups and affected areas. Thus, it has developed a mixed-integer programming model to minimize distribution costs in the cold chain to reduce the social costs of the crisis while reducing logistical costs such as transportation, scarcity, and maintenance costs. To do this, we considered a three-tier chain consisting of a supplier, distributor, and... 

The economic framework of the petroleum sector exhibits significant divergence from other businesses owing to the substantial risks and uncertainties inherent in oil and gas ventures, compounded by highly unpredictable price fluctuations. Moreover, the abundance of uncertainties in the data employed for investment decisions in petroleum projects is very large, thus exerting a significant impact on the decision-making processes. This research delves into the impact of diverse risk factors on oil contracts and scrutinizes their influence on contractual dynamics. The study unfolds in three segments, encompassing an examination of economic factors shaping oil contracts, model design, and the... 

Although the issue of separation is studied frequently in the last few decades, in presence of numerous parameters and unknown effects of earthquakes and soil condition, scientists confront with remarkable difficulties. It was supposed that performance of structures which are secluded from soil remains in the elastic region and doesn’t bear nonlinearity. But according to recent studies, scientist assert that nonlinear performance might be possible as a result of various soil condition and ingredients of earthquake(magnitude and frequency). General procedure for seismic improvements of structures includes increasing the strength and resistance, capability of structure to absorb energy and... 

In general, the issue of information integration in manufacturing platforms is considered. In the case of shopfloor adaptive planning, we want to make it possible that equipment can interact and operate without the need for a human agent. Our suggestion for this case is developing unit and understandable interaction structure for this equipment and enabling data exchange for them. To develop this structure, concepts of interoperability and adaptiveness are used. Interoperability for data transfer and exchange that means the cooperation and interaction of involved agents in manufacturing and production processes. Adaptiveness means to perform adaptive planning and adapt all areas to changes... 

Presently, exploring customer feedback, customer satisfaction, as well as value generation is one of the main objectives of those companies that want to be both successful and profitable. Examining these perspectives and interacting with a wide range of customers is an effective and efficient tool for company managers to be able to take action to develop new services. In today's travel industry, where the competitive environment is vast and complex, the company that focuses on the critical needs of the customer and customer satisfaction is important and also seeks to gain a remarkable position in the global market, can be useful in developing new services. In this research, the concept of... 

A sustainable supply chain requires constant sustainable changes in the design and performance of its steps. The main characteristic of sustainability is the consideration of social, environmental and economic criteria in strategic and operational decisions. Due to the great importance of the sustainability in transportation network, proper planning and careful design for this issue in recent years has been considered and welcomed by relevant researchers. In this research we want to provide an integrated frame work for transportation network design toward sustainability. In this regard, we also use 3D printing technology as our innovation in operations. Our main issue is the Inventory... 

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... 

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... 

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... 

globalization has altered the structure of supply chains and the way they operate. These changes have mainly intensified by novel manufacturing models, especially cloud manufacturing, a service-oriented model in which manufacture’s capabilities and distributed resources are shared through a centralized management and control of CMfg platforms. Thus, cloud manufacturing has enabled service providers to reduce their costs and enhance production speed by creating virtual production lines. However; while being beneficial, cloud manufacturing models can introduce new challenges. One of the goals of cloud manufacturing models is to provide the access to value added services so that available...