Exploration of Intelligent Manufacturing Methods for Complex Products Driven by Multisource Data

In order to improve the multisource data-driven fusion effect in the intelligent manufacturing process of complex products, based on the proposed adaptive fog computing architecture, this paper takes into account the efficient processing of complex product intelligent manufacturing services within the framework and the rational utilization of fog computing layer resources to establish a fog computing resource scheduling model. Moreover, this paper proposes a fog computing architecture for intelligent manufacturing services for complex products. The architecture adopts a three-layer fog computing framework, which can reasonably provide three types of services in the field of intelligent manufacturing. In addition, this study combines experimental research to verify the intelligent model of this article and counts the experimental results. From the analysis of experimental data, it can be seen that the complex product intelligent manufacturing system based on multisource data driven proposed in this paper meets the data fusion requirements of complex product intelligent manufacturing.

Compartmentalisation of molecular catalysts for nonorthogonal tandem catalysis

The development of nonorthogonal tandem catalysis enables the use of a combination of arbitrary catalysts to rapidly synthesize complex products in a sustainable, efficient, and timely manner.

Research and Education Needs for Complex Generics

Complex generics are generic versions of drug products that generally have complex active ingredients, complex formulations, complex routes of delivery, complex dosage forms, are complex drug-device combination products, or have other characteristics that can make it complex to demonstrate bioequivalence or to develop as generics. These complex products (i.e. complex generics) are an important element of the United States (U.S.) Food and Drug Administration’s (FDA’s) Generic Drug User Fee Amendments (GDUFA) II Commitment Letter. The Center for Research on Complex Generics (CRCG) was formed by a grant from the FDA to address challenges associated with the development of complex generics. To understand these challenges, the CRCG conducted a “Survey of Scientific Challenges in the Development of Complex Generics”. The three main areas of questioning were directed toward which (types of) complex products, which methods of analysis to support a demonstration of bioequivalence, and which educational topics the CRCG should prioritize. The survey was open to the public on a website maintained by the CRCG. Regarding complex products, the top three selections were complex injectables, formulations, and nanomaterials; drug-device combination products; and inhalation and nasal products. Regarding methods of analysis, the top three selections were locally-acting physiologically-based pharmacokinetic modeling; oral absorption models and bioequivalence; and data analytics and machine learning. Regarding educational topics, the top three selections were complex injectables, formulations, and nanomaterials; drug-device combination products; and data analytics, including quantitative methods and modeling & simulation. These survey results will help prioritize the CRCG’s initial research and educational initiatives.

Methodology for Defining the Interaction between Product Characteristics and Specific Product Complexity—Evaluated on Electrodes for Lithium-Ion Batteries

This study is about a method for evaluating specific product complexity. In this context, an efficient and scalable method for the development of a specific complexity assessment of highly complex products is presented. Furthermore, existing evaluation methods are analysed according to effort and benefit, thus showing the research gap and the need for the method to be developed. The procedure for the development of an indicator for the specific evaluation of product complexity is presented in five steps and an exemplary complexity indicator for lithium ion battery cells is developed. This index is then applied, and the complexity of commercial battery cells from the application is evaluated. Based on these evaluations, final potentials of the method are shown and a recommendation for a reduction in product complexity is provided. The developed method for complexity assessment is scalable in its effort and offers implementation into existing complexity management. The method allows quick adaptation or extension and, thus, well-founded decision making. By standardizing the evaluation and taking objectively measurable complexity characteristic values as a basis, a holistic and objective evaluation tool is shown, which can thus become a decisive success factor for manufacturers of complex products.

Organizing Form, Experimentation, and Performance: Innovation in the Nascent Civilian Drone Industry

Our aim is to explore whether the benefits to firms of using community-based innovation extend to nascent markets: uncertain, high-velocity settings with novel, often complex products. Grounded in a rare empirical comparison, we closely track the two ventures (one using community-based innovation and the other firm-based) that pioneered the na2scent civilian drone market. We unpack how each addressed the three major innovations that shaped this setting. Our primary insight is that the firm organizing form for innovation performs best relative to communities in nascent markets. Firms have a coordination advantage that enables quickly and accurately targeting experimentation and problem-solving processes to reduce the many specific uncertainties that characterize these markets. Although communities can help, their task self-selection advantage works best in stable settings such as established markets with simple products (e.g., modular software) and in ambiguous settings in which low-cost randomness pays off. Broadly, we contribute a theoretical framework that identifies how organizing form and problem type jointly shape innovation performance. Most important, uncertainty forms a boundary condition for when firms should rely on firm-based (versus community-based) organizing for innovation.

THEORY OF PRODUCTIVITY OF PRODUCTION OF COMPLEX PRODUCTS (ON THE EXAMPLE OF DEVELOPMENT OF FROZEN AND DURABLE SOILS)

Methods for determining the productivity of a set and a fleet of machines are considered. A method has been developed for calculating the productivity of a set of machines, which makes it possible to determine the possibility of its formation, taking into account the characteristics of the machines and the conditions of their operation under given conditions. A method is proposed for determining the productivity of a fleet of machines, taking into account the influence of a large number of different factors for any period of time. These techniques allow you to determine the effectiveness of the use of various equipment in the implementation of earthworks.

The AAPF fault-tolerant method for small and complex product assembly

Fault-tolerant control should be considered during assembly to ensure stability and efficiency of the assembly process. The paper proposes a fault-tolerant method to improve stability and efficiency during the assembly of small and complex products. The fault-tolerant method model was initially constructed, then an adaptive artificial potential field control algorithm (AAPF) was introduced to control related assembly tasks based on changes in assembly information. Next, active and passive fault tolerance methods were integrated using a least squares support vector machine (LS-SVM). Finally, the assembly of a 2P circuit breaker controller assembly with leakage protection was used as an example to verify the proposed assembly method. The experimental results demonstrated that the AAPF fault-tolerant method showed promising fault-tolerance capabilities for the assembly of small and complex products. Not only could it coordinate the number of tasks for each assembly robot, but it also effectively reduced the number of tasks that accumulated due to faults. The method proposed in this paper could effectively guarantee assembly stability and efficiency during small and complex product assembly.

Saving Management in Malaysia

Saving management is about empowering and enlightening consumers so that they are well prepared about finance in a way that is relevant to their lives. Koid (2008) denotes that challenges faced by Malaysian in disabling them to protect their finances are low level in mastering financial literacy, poor saving rates, complex products and services, access to a variety of financial products and costs of living. Savings can be lifesavers during an individual’s financial downturn. Today, financially we can be in a good position but nobody knows what will happen in the future. But one thing is for sure, our savings today would certainly save our financial pitfall in the future. Therefore, it is vital for an individual to empower themselves a good saving habit. Therefore, this paper endeavors to analyze the key determinants of saving management in Peninsular Malaysia. Survey forms were distributed to 2500 working adults in Peninsular Malaysia, ages ranging from 18 to 45 years old. Meanwhile, the method employed in this study is multiple regression analysis. Further, this study highlight that parents’ characteristic, investment skill, financial literacy and expenses management are the important factors in enhancing and increasing the level of saving skills in Malaysia.