Minhua Lin

Bio: Minhua Lin is an academic researcher from Shanghai Lixin University of Commerce. The author has contributed to research in topics: Vehicle routing problem & Renewable energy. The author has an hindex of 1, co-authored 1 publications receiving 22 citations.

A Hybrid Hesitant 2-Tuple IVSF Decision Making Approach to Analyze PERT-Based Critical Paths of New Service Development Process for Renewable Energy Investment Projects

Abstract: The purpose of this study is to evaluate PERT-based critical paths of new service development (NSD) process for renewable energy investment projects. In this context, a novel three-stage model has been proposed. In the first stage, 10 different steps in NSD process are weighted by considering 2-tuple hesitant interval-valued Spherical fuzzy IVSF DEMATEL approach. In the second stage, 26 different critical paths for NSD process are identified. Moreover, the third stage includes the ranking the renewable energy alternatives by path scenarios with 2-tuple hesitant IVSF TOPSIS. The findings demonstrate that idea screening and the formation of cross-functional team are the most significant criteria for the NSD process of renewable energy investments. Additionally, while considering all activities of NSD process, it is concluded that solar energy is the most appropriate renewable energy alternative. This result is also similar for considering the longest path by activity number, the longest path by duration and the shortest path by activity number. However, it is also determined that geothermal energy is the most ideal type of renewable energy to invest in while considering the shortest path by duration. Therefore, it is obvious that investors should primarily give importance to generate new products for solar energy projects. In this way, it can be easier for them to provide efficiency in their investments. On the other hand, if there is time constraint or a positive result is expected from the project in a short time, geothermal energy is the most suitable renewable energy type to invest.

Discrete Optimization on Truck-Drone Collaborative Transportation System for Delivering Medical Resources

Abstract: Under the epidemic, closed management has turned a large number of communities into lonely islands, and the contactless delivery method of UAV has become the rigid demand in this special period. This paper studies a collaborative system of multi-UAV multitruck transportation, which can deliver emergency materials such as medicine to remote areas or closed communities. In this system, delivery tasks are assigned to multiple trucks and multiple drones on each truck can perform delivery tasks in parallel, thereby improving delivery efficiency. We study the routing problem of this system specifically for medical supplying road network and establish mixed-integer model and hybrid algorithm. We show by experiments that the number of trucks has more significant impact on the optimal solution than the number of drones and the performance of hybrid particle swarm optimization is better than the performance of the other algorithms.

A hybrid heterogeneous Pythagorean fuzzy group decision modelling for crowdfunding development process pathways of fintech-based clean energy investment projects

Abstract: This study aims to evaluate the crowdfunding alternatives regarding new service development process pathways of clean energy investment projects. In this framework, a new model has been generated by considering the consensus-based group decision-making with incomplete preferences, Pythagorean fuzzy decision-making trial and evaluation laboratory (DEMATEL) and technique for order preference by similarity to ideal solution (TOPSIS). Moreover, a comparative evaluation has been performed with Vise Kriterijumska Optimizacija I. Kompromisno Resenje methodology and sensitivity analysis has been made by considering 4 different cases. The main contribution is to identify appropriate crowdfunding-based funding alternatives for the improvement of the clean energy investments with a novel MCDM model. By considering the iteration technique and consensus-based analysis, the missing parts in the evaluations can be completed and opposite opinion problems can be reduced. Furthermore, with the help of hybrid MCDM model by combining DEMATEL and TOPSIS, more objective results can be reached. It is concluded that the analysis results are coherent and reliable. The findings indicate that the full launch is the most significant criterion for equity and debt-based crowdfunding alternatives. On the other side, the analysis has the highest weight for reward and donation-based alternatives whereas design is the most essential item regarding the royalty-based alternative. Additionally, it is also defined that equity-based crowdfunding alternative is the most significant for the service development process of clean energy investment projects. In this way, it will be possible to provide a continuous resource for clean energy investment projects. On the other hand, by providing financing with equity, there will be no fixed financing cost for clean energy investors. If these investors make a profit, they distribute dividends with the decision of their authorized bodies.

Energy Center Selection in G7 Industry With Fuzzy MOORA

Abstract: In this study, energy center selection of G7 countries is examined. In this context, firstly, the studies in the literature have been evaluated in detail, and seven different criteria have been determined which may affect this selection. Taking these seven different criteria into consideration, G7 countries are ranked by fuzzy MOORA method according to energy center selection performance. According to the results, Japan and Germany are the most successful countries. On the other hand, it was concluded that France and Italy ranked last in terms of energy center selection performance. Hence, especially the countries in the last rankings should be more careful in selecting energy center. In this framework, the customer potential, the training profiles of the customers, the potential of the company with investment demand, the previous payment performance of these companies, and the market risks should be considered by the energy companies while opening new branches.

Factors Causing Delay in the Installation of Nuclear Power Plants

Abstract: Nuclear energy is a type of energy that has many advantages. Generating uninterrupted energy, not releasing carbon gas to the atmosphere and obtaining high amounts of electrical energy are examples to be given to this issue. These factors have increased the demands of countries for nuclear power plants. However, there is also a group against nuclear energy due to certain factors. Issues such as the explosion risk of the nuclear power plant and how to destroy radioactive wastes are accepted as the main reasons for this idea. On the other hand, in order for nuclear power plants to operate effectively, the country must have the necessary technological infrastructure and qualified personnel. These factors cause countries not to give priority to nuclear power plants. This study focuses on the factors that delay the establishment of nuclear power plants. In this context, first of all, a detailed literature review has been carried out on the subject. As a result of this study, 5 basic factors that will delay the establishment of nuclear power plants were determined. After that, an analysis has been conducted with the fuzzy DEMATEL method in order to determine which of the relevant factors are more important. The findings indicate that the energy reserve amount of the countries has been determined as the most important factor in opening nuclear power plants. Additionally, the expertise level and public acceptance are other significant issue in this regard. On the other hand, policy changes and technological infrastructure have lower importance for this situation. This result shows that countries resort to nuclear energy in order to reduce their dependence on foreign energy.

The Role of Hydrogen in the Black Sea for the Future Energy Supply Security of Turkey

Abstract: In this study, the importance of hydrogen sulfide resources in the Black Sea region for future energy supply security has been analyzed. In this context, Turkey has been the scope of review. Through the world's largest hydrogen sulfide deposits in the Black Sea region with which hydrogen can be used effectively in the production of this resource, Turkey will be able to meet the annual energy needs face. This will provide benefits to many aspects of Turkey's economic development. Turkey's current account deficit, which would import energy problem, can also be reduced. This situation will contribute to reducing the fragilities in the country's economy. In this respect, Turkey should give priorities for the hydrogen sulphide reserves in the Black Sea. In this framework, detailed studies should be conducted on the conditions of the region.