Trends In Development Of Production Research Articles

Multifunctional emulsion for potential wound-healing applications: A development for co-administration of essential vitamins, silver nanoparticles, and potent active ingredients

This research explores the formulation of novel oil-in-water emulsion designed for the co-delivery of compounds with different properties that jointly represent an exceptional system to apply in skin regeneration, such as essential vitamins A and E, silver nanoparticles, silver sulfadiazine, and lidocaine. First, the preparation method of emulsions was optimized, characterizing their stability over storage time. Emulsions, which were prepared with certain stirring speed and time, presented the lower droplet size and the higher stability for 28 days. Second, the active ingredients were incorporated into the optimized emulsion, and their stability and antimicrobial capacity were evaluated. In addition to being a stable colloidal system, the emulsion with active ingredients demonstrated antimicrobial effects against Pseudomonas aeruginosa and Staphylococcus aureus (both usually present in skin wounds). The antimicrobial properties of silver nanoparticles and the healing-promoting characteristics of vitamins make this combination promising for applications in pharmaceutical and cosmetic formulations. Utilizing natural oils and biocompatible components aligns with sustainable and health-conscious product development trends. The findings of this study hold implications for diverse applications in medicine and cosmetics.

Assessing New Product Development Trends and Practices in Manufacturing and Service-Oriented Organizations in Chitwan District, Nepal

Assessing New Product Development Trends and Practices in Manufacturing and Service-Oriented Organizations in Chitwan District, Nepal

The Transformation and Development of Green and Low-Carbon Consumption under the Dual Carbon Background

As the proportion of consumption in China's gross domestic product (GDP) increases and its role as a driving force for economic growth strengthens, the impact of consumption on the resource environment and carbon dioxide emissions is becoming increasingly evident. Production is for consumption, and consumption in turn promotes production; consumption determines production and guides the direction and development trend of production. Green and low-carbon consumption is not only the responsibility of consumers, but also puts forward higher requirements for producers: the whole process from the procurement of raw materials, product production and circulation, product use, recycling of end-of-life products and final treatment and disposal are all based on low-carbon standards, forcing the supply-side structural reform to promote green and low-carbon development. The government can guide green and low-carbon consumption by setting up incentives and constraints, increasing the supply of green products, organizing government procurement, and taking the lead in policy measures, but the fundamental measure is to raise the public's awareness of environmental protection and consciously practice green and low-carbon consumption.

Yeast mannoproteins: Organoleptic modulating functions, mechanisms, and product development trends in winemaking

AbstractMannoproteins (MPs) originate from yeast cells and can play important roles in maintaining wine stability and modulating wine organoleptic properties. Due to their natural presence in wines, MP products are allowed to be used as enological additives in wine industry. To guarantee an appropriate application of these products during winemaking, it is necessary for both researchers and winemakers to understand the mechanisms of MPs as multifunctional organoleptic modulators. This review has introduced the current state of knowledge of the researches focus on the application of different MP products in red wines and also the interactions between MPs and wine sensory active components (polyphenols, aroma compounds) in model wine solutions. We have summarized the possible mechanisms of MPs that affect the color, astringency, and aroma of red wines and the relationship between the physicochemical characteristics and functionalities of MPs. Besides, development trends of MP products are also discussed. It seems that yeast biomass, especially those from non‐Saccharomyces yeasts show good potential in producing large quantities of MPs, an appropriate combination of yeast cultivation and preservation methods with extraction and purification techniques may obtain MPs of ideal production, purity, and functionality in an industrial scale, which should be put more efforts by both scientists and manufacturers in the future.

Online Information-Based Product Evolution Course Mining and Prediction

In today’s fiercely competitive business environment, product design and development play critical roles in an enterprise’s success; therefore, consumer demand must be understood. Enterprises used to understand their consumers’ demands through time-consuming questionnaire surveys and statistical analyses. As the Internet and the popularity of virtual communities have grown, more consumers are leaving comments about their perceptions of the appeal of products on online social media platforms, thus enabling enterprises to more objectively understand consumers’ product preferences and demands. Therefore, determining how to effectively assist enterprises in analyzing valuable information beneficial to product design and development that can be gleaned from the large amount of social media data available is critical to promoting an enterprise’s competitive advantage in the product market. However, previous studies have primarily focused on understanding consumer viewpoints of products through review articles or electronic word-of-mouth (eWOM; it is a common channel for spreading product appraisals) from online social media. For these review articles and eWOM that can imply consumer demand for product features, there were no relevant studies focused on analyzing consumer demand by using both online review articles and eWOM for product feature evolution. Therefore, for new product features, this study developed a mechanism for product evolution course mining from product-related review articles (such as product functions or specifications) and eWOM on online social media to realize the prediction of future product features or specifications, and then assist enterprises in rapidly and accurately grasping product development trends to effectively discern key reference information for product design and development. The study was achieved by (1) designing a process for online information-based product evolution course mining and prediction, (ii) developing techniques related to online information-based product evolution course mining and prediction, and (iii) implementing and evaluating an online information-based product evolution course mining and prediction mechanism. The experimental results indicated that approximately 81% of developers were satisfied with the proposed system for predicting smartphone features. The results of the study can facilitate the mining and prediction of online information-based product evolution course to assist enterprises in rapidly and accurately grasping product development trends and effectively provides important reference information for product design and development; therefore, it can enhance competitive advantages and customer satisfaction of enterprise products in the marketplace.

Testing for Convergence Innovation and Club Clustering in Selected Economies 1995-2017

Innovation convergence is a deterministic process resulting from the change in micro and macro innovation determinants. It is characterized by firms' search for innovative opportunities in other economic sectors and in their development from mining through heavy industry to material processing sector, discovering new technologies that connect individual products to a more integrated global system, diversifying, ensuring technical scope growth, and start-ups contributing to new managerial leadership. The aim of this study is to contribute to our knowledge of convergence innovation by providing empirical evidence on it. To this purpose, we use a nonlinear time-varying factor model to test for convergence innovation and countries' club clustering. For the sample of 29 countries from 1995 to 2017, we identify two significant convergence clubs and one divergent group (Cyprus, Czech Republic, and The Netherlands). The empirical evidence indicates that innovation singularity could appear as a significant barrier and limiting factors for firms' and countries' growth in the future. Design and new product development trends in these countries follow a different decoupling path from the rest of the sample. Policymakers and practitioners should carefully evaluate innovation determinants and constraints (decoupling drivers) in setting up innovation policies on a micro and macro level.

Digital Twins and Product-Service Systems: A Synergy with Challenges and Opportunities

AbstractDigital Twins and Product-Service Systems are just two of the recent trends in product development. While many presented approaches seem promising, their implementation often face challenges. This is especially true if existing approaches are transferred onto new applications. Diving into these topics this paper presents the basics but also challenges as well as synergies emerging between them. The objective is set, to move from specialised applications to broader approaches that can provide benefit to a range of applications and ease the entrance, particularly, for smaller enterprises.

Global Regulatory and Public Health Initiatives to Advance Pediatric Drug Development for Rare Diseases.

The literature thoroughly describes the challenges of pediatric drug development for rare diseases. This includes (1) generating interest from sponsors, (2) small numbers of children affected by a particular disease, (3) difficulties with study design, (4) lack of definitive outcome measures and assessment tools, (5) the need for additional safeguards for children as a vulnerable population, and (6) logistical hurdles to completing trials, especially with the need for longer term follow-up to establish safety and efficacy. There has also been an increasing awareness of the need to engage patients and their families in drug development processes and to address inequities in access to pediatric clinical trials. The year 2020 ushered in yet another challenge—the COVID-19 pandemic. The pediatric drug development ecosystem continues to evolve to meet these challenges. This article will focus on several key factors including recent regulatory approaches and public health policies to facilitate pediatric rare disease drug development, emerging trends in product development (biologics, molecularly targeted therapies), innovations in trial design/endpoints and data collection, and current efforts to increase patient engagement and promote equity. Finally, lessons learned from COVID-19 about building adaptable pediatric rare disease drug development processes will be discussed.

Development of Morphology Analysis-Based Technology Roadmap Considering Layer Expansion Paths: Application of TRIZ and Text Mining

Morphology analysis (MA)-based roadmapping has been considered an effective means to support the process of technology innovation in a business environment. However, previous research on MA-based roadmaps has commonly focused on the process of developing existing technology roadmaps (TRMs), while the paths of layer expansion for seeking new opportunities is rarely a focus. Thus, the aim of this research is to develop MA-based TRMs by utilizing MA to describe the characteristics of the technology and product layers in the TRMs and apply the improved theory of inventive problem solving (TRIZ) inventive principles to establish innovation paths for new opportunities with the aid of text mining tools. This study suggests using a morphological matrix to construct existing TRMs by calculating the correlations among different technology and product nodes and two sparse generative topographic mapping (SGTM)-based maps to discover new technology and product opportunities by identifying technology and product development trends and innovation elements in sparse areas, which is the objective of simplifying TRIZ application. To illustrate the performance of the proposed approach, a case study is conducted using patents and product manuals for underwater vehicles, which are becoming popular high-tech and secure tools to explore sub-sea resources. This approach contributes by suggesting a semi-autonomous and systematic procedure to extend the existing MA-based TRM and simplifying TRIZ application according to the occurrence frequency of the keywords.

Heat dissipation and electrical conduction of an LED by using a microfluidic channel with a graphene solution

Currently, electronic product development trends include design of thin, low-weight, multifunctional, and highly integrated devices. Electronic chips tend to feature high-speed, high-power, and high-concentration properties, and the amount of heat per unit volume increases rapidly. If the total volume is reduced, poor heat dissipation results in product failure. This study proposed that solid conductors could be replaced by a microchannel and graphene solution, with the graphene solution supplying energy and dissipating heat in a light-emitting diode (LED). The temperature at the bottom of the LED chip with the graphene solution conductor was considerably lower than that of the chip with the solid conductor. The difference between the optical power of the LED with the solid and graphene solution conductors was small. Additionally, the optical power of the LED with the graphene solution was considerably higher than that of the LED with the salt electrolyte conductor, and the temperature difference between the bottom of the LED chip with the graphene solution and that of the LED chip with the salt electrolyte was very small. The graphene solution was a suitable conductor for the LED; hence, it can facilitate new designs of LEDs in the future.

How Do Digital Engineering and Included AI Based Assistance Tools Change the Product Development Process and the Involved Engineers

AbstractCurrent trends in product development are digital engineering, the increasing use of assistance tools based on artificial intelligence and in general shorter product lifecycles. These trends and new tools strongly rely on available data and will irreversibly change established product development processes. One example for such a new data driven tool is the plausibility check of linear finite element simulations with Convolutional Neural Networks (CNN). This tool is capable of determining whether new simulation results are plausible or non-plausible according to numeric input data. The digitalization and the increased use of data driven tools employing algorithms known from Artificial Intelligence also shifts the roles of many involved engineers. This paper describes and highlights this transition from current product development processes to a data driven / simulation driven product development process. Particularly, the shifts and changes of different roles and domains are illustrated and an example for changing roles in the design and simulation department is described. Furthermore, required adjustments in the design process are derived and compared to the current status.

Factors Influencing the Quality of Dietary Proteins: Implications for Pulses

Protein content has been a leading trend in product development in recent years. Similarly, a growing desire for non‐animal‐based protein sources has led to an interest in plant‐based protein such as cereals and pulses. Pulses constitute the dried seeds of nonoilseed legume crops, including dried peas, chickpeas, beans, and lentils. Their crude protein content (typically 21–26% by weight) positions pulses as plant‐based alternatives to meats within international dietary guidelines. A major consideration with respect to the inclusion of pulses in processed foods relates to the quality of the dietary protein. Protein quality is generally assessed as a function of the ability of the constituent amino acids found within the food to meet the biological needs of the consumer. Different methods exist to determine the quality of dietary proteins, each with their own advantages and disadvantages. Because preparation methods also alter the product's protein quality, these factors must also be considered. This review will discuss recent advances in the determination of protein quality and the factors that influence the quality of pulse proteins for use in human foods.

A mega-trend-diffusion grey forecasting model for short-term manufacturing demand

Accurate short-term demand forecasting is critical for developing effective production plans; however, a short forecasting period indicates that the product demands are unstable, rendering tracking of product development trends difficult. Determining the actual developing data patterns by using forecasting models generated using historical observations is difficult, and the forecasting performance of such models is unfavourable, whereas using the latest limited data for forecasting can improve management efficiency and maintain the competitive advantages of an enterprise. To solve forecasting problems related to a small data set, this study applied an adaptive grey model for forecasting short-term manufacturing demand. Experiments involving the monthly demand data for thin film transistor liquid crystal display panels and wafer-level chip-scale packaging process data showed that the proposed grey model produced favourable forecasting results, indicating its appropriateness as a short-term forecasting tool for small data sets.

Current Trends in Product Development

This paper will summarize the authors’ experience over the last decades, from new methods developed and used within Product Development, as well as current trends. Hence a general and broad overview is presented, rather than recent research results.Driving forces in PD are: Technology, Market and Society. Ecological, economic and social sustainability require recycling, reuse, energy conservation and new business concepts. Customization is carried out by modular architecture, combining customer specific products with volume production of components and sub-systems. PD integrates “hard” properties (engineering), with “soft” properties (industrial design). Fundamental PD characteristics are: Iteration, Integration (technical and organizational), and Innovation. Globally distributed industrial partners co-operate using Internet. Iteration: process loops are speeded up by modeling/simulation, virtual prototyping and additive manufacturing. Structured PD: Initial specification of “what” – functional requirements, then “how” - generation of design solutions. Interdependencies analysis is important to simplify the product's structure. The V-model for specification and verification is commonly used. A 3-stage industrial process separates strategy, core technology development, and product design for market introduction.

A study on smart fashion product development trends

ICT in the IOT era is the core basis of modern society. This study investigated and analyzed the recent commercialization trends of smart fashion products internationally and domestically, to utilize them as the basis of data for developing user-friendly smart fashion products that can meet the needs of consumers. Keyword research using the most representative search engines, Google and Naver was conducted for searching for various wearable items commercialized actively since 2010. The final 78 products were classified by the physical area, and the key features and benefits were analyzed. Smart fashion products were classified as four physical types for the head and face, torso, arms and hands, and ankles and feet. Smart fashion products for each body part were developed in various ways, such as hats, glasses, lenses, virtual screens, earphones, headsets, clothing, watches, wrist bands, gloves, rings, wallets, bags, anklets, shoes, socks, and insoles. The main features were music playback, bluetooth, a camera based on NFC, virtual effects, health and safety protection through measuring heartbeat and momentum, and social network sharing of all kinds of information, based on inter-working with a smartphone. These functions represent the physical, social, and emotional interactions among users and their surroundings, as well as the users, themselves. The research results are expected to be used in future studies on planning user-friendly and marketable products through in-depth analysis of the design characteristics of smart fashion products as well as consumer responses.

A study on smart fashion product development trends

A study on smart fashion product development trends

Role of the Adviser Module in the Hybrid Assembly Subordinating Control Structure

Modern trends in product development are characterized with the rise of product complexity, variety and shorter lifetime. These trends introduce new challenges for assembly systems. Developing line of assembly systems is a part of a general evolution of modern production systems. This evolution is focused on use of computer integration, intelligence and self organization for the improvement of assembly system efficiency. Bionic Assembly System is a very good example of this development. These systems are becoming more and more complex with complex working scenarios and sophisticated control structures. System operator is the main decision maker in modern assembly systems. He has to make real time decisions with good balance between the quality of decisions and the time needed. This directly influences the system efficiency. Intelligent Adviser Module advices the system operator during decision making. Adviser takes into consideration all relevant data and parameters from all parts of the system. Adviser module is a promising tool and a direct realization of artificial intelligence in the modern production systems. This article presents research results on Intelligent Adviser Module structure and its functions.

New trends in creation of epoxy adhesives

Modern trends in development of production of epoxy adhesives with the purpose of obtaining high-strength, waterproof, and high-temperature adhesives are described. Such adhesives are developed and manufactured at ZAO ENPTs EPITAL based on the epoxy-diane and cycloalphatic epoxy resins. The modified aromatic amines, aromatic polyaminoamides, alkylamino phenols, as well as original curing systems are used as curing agents.

Recent Trends in Product Development and Regulatory Issues on Impurities in Active Pharmaceutical Ingredient (API) and Drug Products. Part 2: Safety Considerations of Impurities in Pharmaceutical Products and Surveying the Impurity Landscape

The American Association for Pharmaceutical Scientists (AAPS) Workshop on Predicting and Monitoring Impurities in API and Drug Products: Product Development and Regulatory Issues was held on 13–14 October 2012 at the McCormick Place in Chicago, IL, USA. The goal of the workshop was to discuss control strategies of chemical and physical changes of active pharmaceutical ingredients (API) and drug products in the drug development process. These changes can affect both the safety and efficacy of drugs; therefore, the ability to rapidly predict and assess the potential for drug product performance changes for impurity formation and the associated safety concerns are important parts of speeding the development of innovative drug therapies without compromising quality. The workshop comprised four different sessions. Each session focused on separate fundamental issues to build a comprehensive understanding of the physical and chemical processes that affect drug impurities and drug degradation products, the control of impurities, and the impact of these factors on safety and regulatory areas. Taken together, this comprehensive understanding is used to achieve a more robust development approach that enables predictability with a concomitant assurance of safety and efficacy. Innovative methodologies for development of effective stability control strategies were also presented. This article summarizes sessions 3 and 4 of the American Association for Pharmaceutical Scientists (AAPS) Workshop on Predicting and Monitoring Impurities in API and Drug Products: Product Development and Regulatory Issues and addresses issues of safety considerations of impurities in pharmaceutical products and surveying the impurity landscape. Sessions 1 and 2 of the American Association for Pharmaceutical Scientists (AAPS) Workshop on Predicting and Monitoring Impurities in API and Drug Products: Product Development and Regulatory Issues are summarized in Recent Trends in Product Development and Regulatory Issues on Impurities in active Pharmaceutical Ingredient (API) and Drug Products Part 1: Predicting Degradation Related Impurities and Impurity Considerations for Pharmaceutical Dosage Forms published separately.

Recent Trends in Product Development and Regulatory Issues on Impurities in Active Pharmaceutical Ingredient (API) and Drug Products. Part 1: Predicting Degradation Related Impurities and Impurity Considerations for Pharmaceutical Dosage Forms

The American Association for Pharmaceutical Scientists (AAPS) Workshop on Predicting and Monitoring Impurities in API and Drug Products: Product Development and Regulatory Issues was held on October 13–14, 2012 at the McCormick Place in Chicago, IL, USA. The goal of the workshop was to discuss control strategies of chemical and physical changes of active pharmaceutical ingredients (API) and drug products in the drug development process. These changes can affect both the safety and efficacy of drugs; therefore, the ability to rapidly predict and assess the potential for drug product performance changes for impurity formation and the associated safety concerns are important parts of speeding the development of innovative drug therapies. The workshop consisted of four different sessions. Each session focused on separate fundamental issues to build a comprehensive understanding of the physical and chemical processes that impact drug degradation, the control of impurities and the impact of these factors on safety and regulatory areas. Taken together, this comprehensive understanding is used to achieve a more robust development process that enables predictability with a concomitant assurance of safety and efficacy. Innovative methodologies for development of effective stability control strategies were also presented. This article summarizes Sessions 1 and 2 of the American Association for Pharmaceutical Scientists (AAPS) Workshop on Predicting and Monitoring Impurities in API and Drug Products: Product Development and Regulatory Issues and addresses of predicting degradation related impurities and impurity considerations for pharmaceutical dosage forms. Sessions 3 and 4 of the American Association for Pharmaceutical Scientists (AAPS) Workshop on Predicting and Monitoring Impurities in API and Drug Products: Product Development and Regulatory Issues are summarized in Recent Trends in Product Development and Regulatory Issues on Impurities in Active Pharmaceutical Ingredient (API) and Drug Products Part 2: Safety Considerations of Impurities in Pharmaceutical Products and Surveying the Impurity Landscape published separately.