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The purpose of this paper is to propose the optimal combination forecasting model based on closeness degree and induced ordered weighted harmonic averaging (IOWHA) operator under the uncertain environment in which the raw data are provided by interval numbers.

Starting from maximizing the closeness degree of combination forecasting, which is different from minimizing absolute errors, weighted coefficient vectors of combination forecasting methods are obtained. The new concepts of closeness degree for the center and radius of interval numbers sequences are put forward and the optimal interval combination forecasting model is constructed by maximizing the sum of convex combination with closeness degree of interval center and closeness degree of interval radius. The solution to the model is discussed.

The results show that this model can improve the combination forecasting accuracy efficiently compared with that of each single forecasting method.

The method proposed in the paper can be used to forecast future tendency in a wide ranges of fields, such as engineering, economics and management. In particular, the raw data are provided in the form of interval numbers under the uncertain environment.

The combination forecasting model proposed in this paper is based on closeness degree and IOWHA operator, which is a new kind of combination forecasting model with variant weights.

The purpose of this chapter is to optimize multi-criteria formulation for green vehicle routing problems by mixed integer programming. This research is about the road freight transportation of a Spanish company of groceries. This company has more power in the north of Spain and hence it was founded there. The data used for the computational experiments are focused in the northern region of Spain. The data have been used to decide the best route in order to obtain a minimization of costs for the company. The problem focused on the distance traveled and the altitude difference; by studying these parameters, the best solution of route transportation has been made. The software used to solve this model is CPLEX solver with AMPL programming language. This has been helpful to obtain the results for the research and some conclusions have been obtained from them.

This study aims to analyze the interaction between environmental, social and governance (ESG) practices and digital capabilities in promoting business model innovation (BMI) in family firms. Specifically, it researches how ESG practices influence BMI in family firms, breaking down this influence into its ESG components.

We used microdata from the Flash Eurobarometer 486 survey, conducted by the European Commission in 2020, which provides detailed data on the challenges and obstacles faced by European businesses. The survey included telephone interviews with key managers from 2,483 family-owned businesses across 27 EU countries.

The analysis found that the environmental, social and governance dimensions of ESG significantly enhance business model innovation in family firms. Additionally, the interaction between environmental practices and digital capabilities significantly enhances business model innovation in family firms, while the interactions between social or governance practices and digital capabilities do not show significant effects.

The study supports the theoretical framework that integrates ESG practices into business model innovation, providing empirical evidence for the concept of sustainable business models. It emphasizes the importance of environmental sustainability, social engagement and robust governance in driving innovation.

Family business managers can use the findings to guide their innovation strategies by integrating ESG practices with digital capabilities. Policymakers can also benefit from understanding the importance of supporting ESG practices and digitalization in family businesses, fostering a regulatory environment that encourages sustainable innovation.

This research expands the theoretical understanding of how ESG practices and digital capabilities interact to foster BMI, particularly in family firms. By breaking down ESG practices into environmental, social and governance components, the study offers a detailed view of their interaction with digital capabilities.

The purpose of this paper is to find out the characteristics and evolutionary trends of China’s inter-regional innovation correlation network, the status and roles of each province in China’s inter-regional innovation correlation network and the influencing factors of China’s inter-regional innovation correlation effect.

Based on the patent data of 30 provinces (autonomous regions and municipalities) in China from 1991 to 2017, social network analysis was used to find out the characteristics and evolutionary trends of China’s inter-regional innovation correlation network and the status and roles of each province in China’s inter-regional innovation correlation network. Furthermore, the QAP method was used to find out the influencing factors of China’s inter-regional innovation correlation effect.

China’s inter-regional innovation correlation is becoming increasingly close and inter-regional innovation correlation network is becoming increasingly stable. Jiangsu, Zhejiang, Beijing, Shanghai, Guangdong and other eastern coastal provinces are at the core in the inter-regional innovation correlation network, while the western regions are marginal actors. China’s regional innovation development territory can be divided into four blocks, namely, “bidirectional spillover block,” “net spillover block,” “main beneficial block” and “net beneficial block,” and gradient transfer mechanism is obvious between the blocks. The geographical adjacency and similarity in regional industrial structure, urbanization level and government attention degree have significant positive effect on China’s inter-regional innovation correlation effects.

This paper only uses patent application as a measure of regional innovation level to analyze inter-regional innovation correlation effect. Meanwhile, this paper carries out an empirical study only from the provincial level and not from the city level.

This paper provides the practical basis for further promoting the coordinated development of regional innovation and promoting the construction of regional innovation systems with different characteristics.

This paper contributes to understand the status and role of each province in inter-regional innovation correlation network. Meanwhile, this paper also helps to understand the influence of the proximity and external environmental factors on inter-regional innovation correlation effect.

This study aims to assess the pitting resistance of austenitic stainless steel welded joints fusion zone (FZ) with high density of inclusions before and after surface treatment, including potentiostatic pulse technique (PPT) and pickling.

The potentiodynamic polarization tests and critical pitting temperature tests were carried out for estimating pitting resistance. The PPT and pickling were performed as surface treatment. Scanning electron microscope (SEM) and energy dispersive spectrometer were used for characterize the microstructure and elemental distribution. Electron back-scattered diffraction (EBSD) was used to assess the portion of phases and morphology of grains.

The weld metal exhibits a higher degree of alloying compared to the base metal, and it contains d-phase and sulfur-containing inclusions. Sulfur-containing inclusions serve as initiation sites for pitting, and they diminish the pitting resistance of weld metal. Both PPT and pickling can remove sulfur-containing inclusions, but PPT causes localized dissolution of the weld metal matrix around the inclusions, while pickling does not. Because of the high density of inclusions, certain pits initiated by PPT are significantly deeper, which makes the formation of stable pitting easier. Because of the high density of inclusions, certain pits initiated by the PPT are deeper. This characteristic facilitates the progression of these initial defects into fully developed, stable pits.

Analysis of pitting initiation in shielded metal arc welding FZ with PPT and ex situ SEM tracking observation. Explanation of why the PPT surface treatment is not able to enhance the pitting resistance of stainless steel with a high inclusion density.

Owing to the importance of the investment behavior in China, the purpose of this paper is to find the influence of executive network and government governance on investment efficiency.

The paper use China’s listed companies as sample to make an investment efficiency determinant model.

In this article, the authors find that larger executive network and higher government governance will lead to more corporate investment efficient. Furthermore, the informal institution – executive network, is not only an effective way to alleviate financing constraints, but also can solve underinvestment problem. While the improvement of local government governance can provide institutional protection, it will also be more conducive to restrain overinvestment behavior.

The authors have not explored conduction path. Especially, the authors have not examined whether information spillover effect or the release of resources constraints in executive network plays a more important role to ease investment insufficient.

Under the Chinese circumstance, relationship governance can not only promote companies to improve investment efficiency, but also provide an important guarantee for sustained macroeconomic growth.

It is widely acknowledged that the ability of a firm to develop and exploit their innovative capabilities is a critical determinant that maintains their competitive advantage. The purpose is to evaluate the research and development (R&D) inputs and outcomes on the performance of firms in different stages.

Drawing on a sample of 30 firms over 8 years (2009–2016), the results from a three-stage Bayesian stochastic frontier analysis model support were used.

Some interesting findings were discovered. First, the R&D intensity is positively associated with the number of patents granted, which is negatively associated with the number of new drug approvals (NDAs). Second, R&D inputs, including expenditures and human resources, are negatively related to the number of NDAs and firm performance. Third, state-owned firms perform better and have more patents granted than private-owned firms in China. Finally, the traditional Chinese medicine firms and non-coastal firms both gain fewer profits, but they generate more new drugs than chemical drug firms and coastal firms in terms of policy support.

It is revealed that there are no common factors among Chinese pharmaceutical firms except for ownership, and this heterogeneous behavior indicates that there is no common factor for enhancing the efficiency of all Chinese pharmaceutical firms.

The purpose of this paper is the definition and the implementation of a simplified mathematical model to estimate the hazard and the risk related to the use of high‐pressurized hydrogen pipeline.

This study aims to investigate the effects of different hydrogen operations conditions and to tackle with different release or failure scenarios. Based on the combination of empirical relations and analytical models, this paper sets the basis for suitable models for consequence analysis in terms of estimating fire length and of predicting its thermal radiation. The results are compared either with experimental data available in the literature, thus by setting the same operations and failure conditions, or with other conventional gaseous fuel currently used.

The findings show that the release rate increasingly varies according to the supply pressure. Regarding the effect of the hole diameter, it hugely affects the amount of hydrogen escaping from the leak, up to a value of approximately 0.3 m, after which the release rate remains fixed at a maximum of 43 Kg/s. For failure consequences related to jet flame, the leak dimension has a strength impact on the flame length.

This paper represents a helpful engineering tool, to establish the safety requirements that are related to define adequate safety buffer zones for the hydrogen pipeline in order to ensure safety to people, as well the environment.

The purpose of this paper is to investigate the moving boundary conditions on the sliding armature and rail (A/R) interface. As the computational domains involve both moving and stationary conductors, Lagrangian description and backward difference schemes are adopted for spatial and temporal discretization, arising discontinuities in variables. The proposed formulation can compute the current distribution under high velocities (∼km/s) without numerical oscillations and avoids mesh re-generation, saving computational resources.

The governing equations in Lagrangian description, backward difference schemes and derivations of moving boundary conditions are shown in detail. The interface matrix is explicitly enforced on the whole domain matrix and pseudocodes are presented for implementation. Moreover, shifted interpolated quantity method is proposed to deal with unevenly sized mesh, which can calculate acceleration scenarios and save computation resources under high velocities. Comparative calculations with previous methods under low velocities are conducted to verify the correctness of computational and physical models.

The current distributions with constant velocities are consistent with previous two-dimensional and low-velocity studies, further verifying the correctness of the method. The three-dimensional high-velocity results show that the current tends to concentrate near the trailing edge of A/R interface and diffuses into the bulks over time, with higher velocity contributing to less significant current diffusion. The velocity skin effect precedes the magnetic diffusion, conductivity and other factors that influence the current distribution.

The proposed methods can compute the current distributions in railgun under velocity accelerated to over 2,000 m/s, and the results provide more comprehensive understandings of the current evolution process under velocity skin effect in railgun.

People have always been invaded by mosquitoes, and the development of new anti-mosquito fabrics has attracted much attention. The purpose of this paper is to study the effect of knitting process on the performance of anti-mosquito seamless fabrics and provide a basis for obtaining anti-mosquito seamless knitted fabrics with excellent comprehensive performance.

This paper uses bamboo–polyester mosquito repellent yarn containing wormwood extract as the face of seamless knitted fabric. The test factors include ordinary material in the face yarn, ground yarn material, seamless knitted structure and arrangement ratio of ordinary yarn and anti-mosquito yarn in face yarn. According to the quasi-level additional orthogonal test, 12 knitting plans are determined, and the mosquito repellent test and durability test are performed on the fabric.

The experimental results show that the optimal fabric for anti-mosquito performance is 12#, and the average repellent rate after washing 15 times is 58.57%. The corresponding process is that the face yarn is fully anti-mosquito yarn, the fabric is a single-sided mesh structure and the ground yarn is made of 4.4tex moisture-absorbing nylon/2.2tex spandex wrapped yarn.

In this paper, there is still a lack of diversity in the selection of yarn materials and fabrics. In the follow-up research, the authors will use more fabrics and yarn materials for combination and experimentation and simulate and predict the mosquito resistance rate of knitted fabrics with different materials and structures.

The development of anti-mosquito seamless knitted fabrics with good comprehensive performance and the use of environmentally friendly wormwood repellents not only conform to the current people's healthy and environmentally friendly life philosophy, but also promote the development of the functional seamless knitted fabric market.

In addition, seamless knitted fabrics have a huge market prospect, and many of their fabrics are used for sports underwear and outdoor wear. Therefore, the research and development of functional knitted fabrics will attract consumers to buy. While improving the wearing comfort, it can increase profits for the company.

The mosquito-proof functional seamless knitted fabric developed in this research has a high mosquito-proof rate after 15 times and can be used as underwear fabric or outdoor sports fabric.