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Binder jetting is one of the essential additive manufacturing methods because it is cost-effective, has no thermal stress problems and has a wide range of different materials. Using binder jetting technology in the industry is becoming more common recently. However, it has disadvantages compared to traditional manufacturing methods regarding speed. This study aims to increase the manufacturing speed of binder jetting.

This study used adaptive slicing to increase the manufacturing speed of binder jetting. In addition, a variable binder amount algorithm has been developed to use adaptive slicing efficiently. Quarter-spherical shaped samples were manufactured using a variable binder amount algorithm and adaptive slicing method.

Samples were sintered at 1250°C for 2 h with 10°C/min heating and cooling ramp. Scanning electron microscope analysis, surface roughness tests, and density calculations were done. According to the results obtained from the analyzes, similar surface quality is achieved by using 38% fewer layers than uniform slicing.

More work is needed to implement adaptive slicing to binder jetting. Because the software of commercial printers is very difficult to modify, an open-source printer was used. For this reason, it can be challenging to produce perfect samples. However, a good start has been made in this area.

To the best of the authors’ knowledge, the actual use of adaptive slicing in binder jetting was applied for the first time in this study. A variable binder amount algorithm has been developed to implement adaptive slicing in binder jetting.

The use of additive manufacturing in many branches of industry is increasing significantly because of its many advantages, such as being able to produce complex parts that cannot be produced by classical methods, using fewer materials, easing the supply chain with on-site production, being able to produce with all kinds of materials and producing lighter parts. The binder jetting technique, one of the additive manufacturing methods researched within the scope of this work, is predicted to be the additive manufacturing method that will grow the most in the next decade, according to many economic reports. Although additive manufacturing methods have many advantages, they can be slower than classical manufacturing methods regarding production speed. For this reason, this study aims to increase the manufacturing speed in the binder jetting method.

Adaptive slicing and variable binder amount algorithm (VBAA) were used to increase manufacturing speed in binder jetting. Taguchi method was used to optimize the layer thickness and saturation ratio in VBAA. According to the Taguchi experimental design, 27 samples were produced in nine different conditions, three replicates each. The width of the samples in their raw form was measured. Afterward, the samples were sintered at 1,500 °C for 2 h. After sintering, surface roughness and density tests were performed. Therefore, the methods used have been proven to be successful. In addition, measurement possibilities with image processing were investigated to make surface roughness measurements more accessible and more economical.

As a result of the tests, the optimum printing condition was decided to be 180–250 µm for layer thickness and 50% for saturation. A separate test sample was then designed to implement adaptive slicing. This test sample was produced in three pieces: adaptive (180–250 µm), thin layer (180 µm) and thick layer (250 µm) with the determined parameters. The roughness values of the adaptive sliced sample and the thin layer sample were similar and better than the thick layer sample. A similar result was obtained using 12.31% fewer layers in the adaptive sample than in the thin layer sample.

The use of adaptive slicing in binder jetting has become more efficient. In this way, it will increase the use of adaptive slicing in binder jetting. In addition, a cheap and straightforward image processing method has been developed to calculate the surface roughness of the parts.

The purpose of this paper is to explore top government hands-on megaproject management model applied to Istanbul’s new airport megaproject. The study aims to find an answer to this research question: “How is the organizational design and management of a megaproject that has been alive in a confrontational socio-political environment and whose national strategic importance is high?”

Organizational theory and critical theory perspectives are used in this study. Istanbul’s grand airport is chosen as the case study. Interview, focus group and document analysis methods are used together. The research yields data from qualitative resources. Verbal and written materials are organized into three major themes and 27 key subjects for content analysis.

A top level of organizational management can be attained in the state in order for the mega projects with high national strategic importance to survive without problems and with high performance. The top government-level organizational structure implemented at Istanbul’s new airport has reduced complexity, risk and uncertainty; increased performance and product quality; and strenghtened inter-organizational compatibility and communication within the megaproject organization. However, this structuring also increased centralization, reduced transparency and direct public participation in the decision-making process.

The megaproject is run in strict confidence and limited information is shared gradually in a controlled way with public by the megaproject organization. Therefore, a qualitative methodology is followed and the usage of quantitative data remained limited in the research.

The study presents an exemplary top government-level megaproject management model for countries experiencing strong socio-political conflicts and aiming to perform megaprojects with high national strategic importance.

The organization of Istanbul’s new airport megaproject offers an exemplary, flexible and innovative organizational management model for countries that want to realize mega projects with high national strategic importance and experience strong socio-political conflicts. The questions of how to cope with challenges, how to build management capabilities and how to improve the cooperation and coordination within megaprojects have found some answers with this study. In addition, this study provides an insight into how to make more effective objections to wrong megaproject practices and the right strategies that the opposing organizations can follow.

This empirical research widens and deepens the theoretical foundations of top government hands-on megaproject management. The study, which includes a process analysis, allows to better understand the philosophy, nature, success, planning process, social organization and dynamics of megaprojects and to explain them through the values and strategies of organizations.

Outlines the role of the Saudi Arabian Basic Industries Corporation (SABIC) in Saudi economy policy: chiefly industralisation through joint ventures with foreign multinationals. Reports a 1993 survey of 312 SABIC employees divided into Saudi nationals, expatriates from developed countries and those from developing countries. Compares their educational and employment levels, family attitudes towards their jobs and the provision and take‐up of training; and finds significant dissatisfaction with SABIC’s training policy and the skills acquired. Considers the importance of salary levels, the implications of pay and promotion differentials between the groups and the likely impact of giving higher pay rises to the Saudis. Discusses the attitudes of the three groups towards management decision‐making, job termination/transfer proceedings, holidays, working hours, shift scheduling, working conditions and safety.

This study aims to solve the problem of job scheduling and multi automated guided vehicle (AGV) cooperation in intelligent manufacturing workshops.

In this study, an algorithm for job scheduling and cooperative work of multiple AGVs is designed. In the first part, with the goal of minimizing the total processing time and the total power consumption, the niche multi-objective evolutionary algorithm is used to determine the processing task arrangement on different machines. In the second part, AGV is called to transport workpieces, and an improved ant colony algorithm is used to generate the initial path of AGV. In the third part, to avoid path conflicts between running AGVs, the authors propose a simple priority-based waiting strategy to avoid collisions.

The experiment shows that the solution can effectively deal with job scheduling and multiple AGV operation problems in the workshop.

In this paper, a collaborative work algorithm is proposed, which combines the job scheduling and AGV running problem to make the research results adapt to the real job environment in the workshop.

Conceptual model in this paper combines existing scientific knowledge grounded in theories of planned behavior, diffusion of innovation and a unified theory of acceptance and use of technology, while aiming to identify relevant determinants of continuous use of e-learning by employees who used e-learning in the past year at their workplace.

The authors developed and empirically tested the positive impact of professional, personal, IT and environmental factors on the continued use of e-learning among 672 employees across different sectors using the structural equation modeling technique.

Research results suggest that the most powerful determinant of continuous use of e-learning are personal factors. Environmental influences and technological aspects also exhibit a positive and significant impact on the continuous use of e-learning. Research hypothesis related to the positive influence of professional factors on the continuous use of e-learning has not been empirically confirmed. Also, results demonstrated that continued use of e-learning contributes to better individual business performance.

The practical contribution is threefold: to companies, education institutions and human resource managers. For companies, identification of key determinants will lead to a better understanding of employees needs regarding continuous job improvements. The findings can be used by educational institutions to design e-learning programs according to results and real value to employees. On the other hand, human resource managers can benefit from this study in terms of getting concrete factors that motivate employees for continuous job improvement.

The research sheds light on the proposed integrated model that tests the post-adoption of the continuous use of e-learning within an organizational context.