Conventional Industry Research Articles

MES Dynamic interoperability for SMEs in the Factory of the Future perspective

Small and Medium-sized Enterprises (SMEs) hold a significant proportion in the economy and more than half of employment worldwide. Nowadays, many SMEs are embarking on a digital transformation journey by embracing and deploying the Fourth Industrial Revolution (a.k.a. Industry 4.0) technologies with a vision of the “Factory of the Future”. Factory of the future aims to enhance production by making improvements in three dimensions: plant structure, plant digitization, and plant processes, which cut across many key function areas of Manufacturing Execution Systems (MES) such as management of product definitions, resource scheduling, order execution and dispatch, production analysis, product quality, and materials track and trace. The technological shift with the Factory of the Future, e.g., the adoption of information, communication, and networking technologies in the form of the cyber-physical production system (CPPS) in order to manage interoperability at the factory’s functional levels in real-time, demands a fresh look at the functional aspects of MES as well as the interplays between MES and an enterprise resource planning (ERP) system and a process control system (e.g., SCADA). The Factory of the Future may lead to hierarchical changes in MES byways of redesigning the value chain for dynamic production and mass personalization scenarios. Deployment of the responsive and adaptive value chain in MES is still state-of-art-issue. The authors will address dynamic interoperability between modular functionalities for end-to-end integration and consider microservices scenarios to form a service-oriented architecture that supports the part of MES in the responsive and adaptive industrial value chain. Primary modules of the manufacturing execution system have been identified from ISA-95 standards and demonstration of end-to-end integration via OPC-UA server/client and PubSub mechanism contributing to the execution of business and manufacturing functions. Each element or activity runs in its own process and provides a microservice; each microservice communicate with other services and form a service-oriented architecture for MES. Finally, a universal framework solution has been proposed for dynamic interoperability, which intends to upgrade the value chain and networking of a conventional industry towards a factory of the future.

Life Cycle Eco-design of Biodegradable Packaging Material

Biodegradable materials have gained a lot of attention for customers’ increasing social awareness of the power to reduce environmental degradation by selecting more environmentally-friendly products. However, biodegradable materials are in some cases less ‘ecological’ than conventional ones due to the high degree of optimization of conventional industries, while biopolymers obtained from renewable sources are still in an incipient state of development as compared to petroleum-derived plastics. Therefore, further research on their optimization towards the environmental impact is needed during the design and production process. Eco-design the “green product” will help limit the environmental burdens and enhance the economic profitability. For the packaging sector, this means designing for resource minimization (material, energy, and water), reduced hazards (such as heavy metals), reuse, recycling, waste reduction, and composting. This paper demonstrates the application of eco-design in the biodegradable packaging material design and production. Three impacting categories have been selected and evaluated on the target packaging material. Using the hotspot analysis will ultimately help figure out the key processes to reduce the products’ environmental burdens. The specific business benefits of eco-design for packaging materials are mainly to have the greater resource efficiency (materials, energy, labor), and to reduce environmental impact during production, use and disposal.

Effects of Industrial Waste Fish Oil Administration on Interleukin-6 (Il-6) Expression at Mice Colon being Induced by Azoxymethane (AOM) and Dextran Sodium Sulphate (DSS)

Colorectal cancer (CRC) is the world’s third most cancer and the second highest mortality rate. The searching for new anti-inflammation substances with less adverse effects than aspirin for chemoprevention and adjuvant chemotherapy of CRC is running. The most notable one is fish oil containing omega 3. Kusmardi, et al. studied that industrial waste fish oil omega-3 level comes close enough to conventional fish oil industry. Study aims to reducing the level IL-6 on mice colon tissue being induced CRC using AOM/DSS by fish oil administration. Thirty male Swiss Webster mice are grouped into six treatments: positive control (aspirin), negative control (physiological saline), normal, high dose (fish oil 6mg/kgBW), medium dose (fish oil 3mg/kgBW), dan solvent control (corn oil). Colon tissue was stained using anti IL-6 antibody. Ten photos per slide were taken by microscope (400x), analyzed for the IL-6 expression by ImageJ®, and quantified for H-score. Data was analyzed using SPSS 24.0 (CI 95%) and p-value <0.05 is consider significant. Data are not normally distributed with median of 161.64 (119.4-260.67). Kruskal-Wallis test is significant in addition with Mann-Whitney test shows only high dose group has significant difference to negative control (p=0.008), medium dose (p=0.016) dan and solvent control (p=0.008). No significant difference reported between high dose and positive control group (p=0.69). High dose industrial waste fish oil can lower IL-6 expression in mice colon tissue induced CRC using AOM/DSS.

Equity clusters through the lens of realized semicorrelations

We rely on newly-developed realized semicorrelations constructed from high-frequency returns together with hierarchical clustering and cross-validation techniques to identify groups of individual stocks that share common features. Implementing the new procedures based on intraday data for the S&P 100 constituents spanning 2019-2020, we uncover distinct changes in the “optimal” groupings of the stocks coincident with the onset of the COVID-19 pandemic. Many of the clusters estimated with data post-January 2020 evidence clear differences from conventional industry type classifications. They also differ from the clusters estimated with standard realized correlations, underscoring the advantages of “looking inside” the correlation matrix through the lens of the new realized semicorrelations.

Mathematical Modeling of Food Processing Operations: A Basic Understanding and Overview

Modeling is the core of food processing supported by many approaches and governed by heat, mass, and momentum transfer equations. The objective of this paper is to mainly discuss and introduce mathematical modeling of some food processes. Food processing is unique from other material processing, as it includes complex multiphase transport and change in material properties during processing. It poses a great challenge in food process engineering. Now a day’s, consumers are taking more precautions before eating something. The way of food processing effectively impacts food quality. Most of the conventional industries use thermal processes like pasteurization, sterilization, and freezing. In recent years the main aim has been to improve these conventional processing technologies. Characterization of temperature distribution is done by mathematical modeling during processing, so this review paper aims to introduce mathematical modeling as a potential tool for the food processing industry. The mathematical models discussed in this article captures the essential features of a complex object or process based on a theoretical understanding of the phenomena and available measurements.

The Effect of the Online and Offline Blended Teaching Mode on English as a Foreign Language Learners' Listening Performance in a Chinese Context.

With the rapid development of digitalisation, multimedia and network-based communication technology, all walks of life are undergoing change and development driven by the application of the internet to conventional industries. Especially because of the outbreak of coronavirus disease of 2019 (COVID-19), English teaching and learning modes are undergoing revolutionary changes worldwide (Wong et al., 2020). Online courses and materials have become the norm for students, and combined with offline English learning activities, an online and offline blended learning mode has ultimately emerged (Graham, 2006; Whittaker, 2013). Whereas blended learning has been considered in several contexts, it has been less investigated in the field of blended English learning mode for the listening comprehension ability and emotional experiences of young learners of Chinese English as a foreign language (EFL) while doing the tasks. Thus, this study focussed on the achievement and experience of Chinese EFL junior high school students during blended learning using Quizlet software as the online learning tool. This study aimed to explore the following: (1) the effect of the online and offline blended mode on the learning outcomes of students and (2) the experience of students while engaging with blended tasks in terms of their learning interest, attitude, and strategy use in English listening learning. A 4-month teaching intervention involving the online and offline blended mode was conducted in English listening classes. Adopting mixed-methods qualitative and quantitative research, this study examined the engagement process of two classes of students and analysed data from their English listening tests and follow-up in-depth interviews. The results suggested that the blended activity was conducive to enhancing the listening performance of students. Moreover, the attitudes of students toward English listening learning shifted from a relatively negative engagement to a more positive one. Meanwhile, the interest of students grew and their learning strategies became more diversified. These findings have implications for English teaching and learning activity design for young learners.

Intelligent Predictive Maintenance (IPdM) in Forestry: A Review of Challenges and Opportunities

The feasibility of reliably generating bioenergy from forest biomass waste is intimately linked to supply chain and production processing costs. These costs are, at least in part, directly related to assumptions about the reliability and cost-efficiency of the machinery used along the forestry bioenergy supply chain. Although mechanization in forestry operations has advanced in the last 20 years, it is evident that challenges remain in relation to production capability, standardization of wood quality, and supply guarantee from forestry resources because of the age and reliability of the machinery. An important component in sustainable bioenergy from biomass supply chains will be confidence in consistent production costs linked to guarantees about harvest and haulage machinery reliability. In this context, this paper examines the issue of machinery maintenance and advances in machine learning and big data analysis that are contributing to improved intelligent prediction that is aiding supply chain reliability in bioenergy from woody biomass. The concept of “Industry 4.0” refers to the integration of numerous technologies and business processes that are transforming many aspects of conventional industries. In the realm of machinery maintenance, the dramatic increase in the capacity to dynamically collect, collate, and analyze data inputs including maintenance archive data, sensor-based monitoring, and external environmental and contextual variables. Big data analytics offers the potential to enhance the identification and prediction of maintenance (PdM) requirements. Given that estimates of costs associated with machinery maintenance vary between 20% and 60% of the overall costs, the need to find ways to better mitigate these costs is important. While PdM has been shown to help, it is noticeable that to-date there has been limited assessment of the impacts of external factors such as weather condition, operator experiences and/or operator fatigue on maintenance costs, and in turn the accuracy of maintenance predictions. While some researchers argue these data are captured by sensors on machinery components, this remains to be proven and efforts to enhance weighted calibrations for these external factors may further contribute to improving the prediction accuracy of remaining useful life (RUL) of machinery. This paper reviews and analyzes underlying assumptions embedded in different types of data used in maintenance regimes and assesses their quality and their current utility for predictive maintenance in forestry. The paper also describes an approach to building ‘intelligent’ predictive maintenance for forestry by incorporating external variables data into the computational maintenance model. Based on these insights, the paper presents a model for an intelligent predictive maintenance system (IPdM) for forestry and a method for its implementation and evaluation in the field.

The impact of hedonic shopping value, shopping lifestyle, and positive emotions on consumer purchasing decisions at Traveloka

Traveloka is an internet-based tourist information or travel application that allows users to search for and purchase a variety of products and services by online platform, including transportation, lodging, lifestyle, and financial services. Despite the fact that Traveloka is well-known among the general public, there is still lack of knowledge that tourism industry has not used it as promotional and sales media for its products and services. This research was conducted at Banyuwangi in order to determine the impact of partial and simulta-neous hedonic shopping value, shopping lifestyle, and positive emotions on consumer purchasing decisions at Traveloka. The SPSS Version 22 application was used to conduct the research, which included multiple line-ar regression analysis procedures, multiple correlation coefficients, coefficients of determination, T-test, and F-test. Sample size of this study were 100 respondents based on purposive sampling. It showed that hedonic shopping value, shopping lifestyle, and positive emotions all have both partial and simultaneous significant impact on customer purchasing decisions at Traveloka, so conventional tourism industry who de-cides to join the Traveloka are expected to be able to offer and sell tourism products or services that are able to provide and adapt into consumer shopping lifestyles, for example by providing promotion, discounts, and cashback for tour packages or services. Therefore, the results of this research can be applied as recommenda-tion for tourism industry, especially for travel agents who has been joined Traveloka as a member so that they can be more competitive in this digitalization era.

Working fluid-induced formation damage evaluation for commingled production of multi-layer natural gas reservoirs with flow rate method

Conventional industry standards (CIS) or methods that rely on the permeability indicator are incapable of directly and precisely evaluating the working fluid damage in multi-layer reservoirs as a whole via Darcy equation and fail to represent the characteristics of gas flow through the reservoir under an in-situ stress state. In this study, we proposed a flow rate method that was based on theoretical derivation and test parameter optimization to overcome these deficiencies. The rationality of the proposed method was verified through comparative experiments and field case analyses. Results showed that the instantaneous flow rate index was almost equivalent to permeability in characterizing the degree of working fluid damage. Comparing the classification of damage degree with the skin factor, the CIS method was only with a conformity of 25%, while the instantaneous flow rate method was as high as 90%. Although the practicality of the cumulative flow rate index has not been proven, it could be used to comprehensively measure the production loss over a specified period. In conclusion, the proposed flow rate method can effectively reflect the actual reservoir properties and accurately evaluate the overall damage of commingled production reservoirs, then providing better guidance for future development plans.

Where Ecosystem Mindsets Come From: How Tech Entrepreneurs Envision Their Target Markets

Business ecosystems – systems of value creation that transcend conventional industry boundaries – are becoming increasingly important contexts of tech entrepreneurship. Yet, we lack an understanding of how tech entrepreneurs develop an understanding of nascent ecosystems for new products. Based on a multi-case study of Boston-based tech entrepreneurs, this study finds that entrepreneurs build an ecosystem mindset incrementally by shifting from targeting alternative primary clients, based on an industry mindset, to envisioning inter-connected clients across industries exploiting complementarities between multiple product uses. Findings contribute to micro-foundations of ecosystem strategizing and a better understanding of opportunity generation and entrepreneurial learning.

Analysis and Research on the Requirements and Applicability of “Hualong-1” Commissioning Standards

Chinese nuclear power standards are parallel due to a variety of technical routes and different technology source countries, resulting in a situation of multiple standards parallel in the domestic nuclear power industry. Through the comparative analysis of nuclear power standards in the United States and France, domestic electric power industry and domestic conventional thermal power industry, this paper seeks for the combination point with domestic nuclear power commissioning standard system, and combs and analyzes the existing standard system. Through industry research and data collection and analysis, combined with the technical characteristics of “Hualong-1”, the requirements and applicability elements of the commissioning standard system are determined, the framework of the commissioning standard system is optimized and improved, and the corresponding standard acquisition, formulation and revision plan of the standard system is formed, so as to guide the construction of commissioning standardization.

Anatomy of Self Driving Vehicle

The concept of Autonomous Vehicles portrayed in several Science Fiction mediums is now close to commercial reality. The new technology has the potential to change the conventional Transportation Industry. If implemented successfully, it will benefit society as a whole. As emerging as it seems; it also raises some serious challenges. This paper presents a systematic outline of the key components of Self Driving vehicles, current systems used, an overview of the Decision-making models, future scope and the practical challenges faced while developing and deploying the technology.

Analisis Dampak Platform Peer-To-Peer Airbnb Terhadap Usaha Perhotelan Konvensional di Provinsi Bali

The sharing economy platforms in the accommodation, such as Airbnb, gain more public attention. Several hoteliers in Indonesia have complained about the unequal playing of the field due to the alleged tax violations. Some studies on the impact of Airbnb have been discussed in various countries, but this subject has not been widely conducted in Indonesia. This study aims to determine the impact of Airbnb on the conventional hotel industry in Bali and how the conventional hotel’s response to compete with Airbnb. This research was conducted using qualitative research. Data was collected through interviews and secondary data collection. Interviews were conducted with representatives of hoteliers, Airbnb owners, and hospitality associations in Bali. Using forecasting analysis, this study finds that the presence of Airbnb in Bali has an impact on the occupancy rate of conventional hotels in Bali. However, there doesn't a significant impact from Airbnb regarding the hospitality revenue. Meanwhile, conventional hoteliers generally do not make particular efforts to compete with Airbnb. This research implies for the managerial side of hotels and public programs and policies, especially for the Government of Bali in the future to pay attention to consumer protection to provide equal action between conventional hotel and Airbnb owners.

Public Key Encryption With Equality Test for Industrial Internet of Things Based on Near-Ring

Organizations have moved from the conventional industries to smart industries by embracing the approach of industrial internet of things (IIoT), which has provided an avenue for the integration of smart devices and communication technologies. In this context, this work presents a public key encryption with equality test based on DLP with decomposition problems over near-ring. The proposed method is highly secure, and it solves the problem of quantum algorithm attacks in industrial internet of thing systems. Further, the proposed system is highly secure, and it prevents the chosen-ciphertext attack in type-I adversary and it is indistinguishable against the random oracle model for the type-II adversary. The proposed scheme is highly secure, and the security analysis measures are comparatively stronger than existing techniques.

Competition commission of India’s “control” conundrum – practice, precedent, and proposals

ABSTRACT The Competition Commission of India’s (CCI) journey with “control” has been the subject of much discussion in Indian competition law circles. As we witness an increase in reliance on technology as well as a consolidation in conventional industries, both catalyzed by the Covid-19 pandemic, there is a marked increase of activity in the Indian merger market. It is therefore crucial for businesses contemplating mergers and acquisitions, to have a clear sense of the hurdles they need to cross, particularly if the merger activity in question falls in the same or a related industry. The CCI would thus need to provide clarity on what constitutes control, and when transacting parties should approach the CCI. The CCI must also be transparent about control transactions resulting in anti-competitive effects. This paper proposes that the CCI provide guidance on what amounts to control, from the perspectives of both notifiability and competitive effects, to resolve the CCI’s control quandary.

Integrated User-Oriented Service for 3D Printing Environments with Recycled Material from Maritime Plastic Waste

Plastic waste is a major concern for marine environment care, and many researchers and projects face the problem from different points of view. The European CircularSeas project aims to encourage the development of greener maritime industries through the combination of principles of Circular Economy, plastic recycling and 3D printing. However, while 3D printing has shown its benefits for conventional industry environments, the first issue discussed in this paper is whether 3D printing technology can also bring benefits to the maritime-port sector, where parts manufacturing, new prototyping trends and even product customization have not traditionally been major business issues. A secondary issue is how 3D printing and this specific user scenario could accommodate recycled plastic in a Circular Economy strategy in a feasible way. In an attempt to address both of these issues, the paper reviews some particularities of 3D printing open technologies and proposes a new integrated and user-oriented 3D printing framework, independent of hardware and adaptable to non-standard recycled plastic raw material from marine waste.

Cost-Benefit Analysis of a Hybrid Biophysical Approach to Wave Energy Extraction: Bio-Oscillator

A cost-benefit analysis (CBA) is described for a novel wave energy converters (WEC) design based on a marine hybrid bio-structure—a combination of macroalgae, shellfish or other species on a built frame. The Bio-Oscillator design utilises a hard “skeleton” (e.g., carbon fibre, wood) on which biological organisms (e.g., shellfish, large macroalgae) are grown. As waves pass by, the load generated by the oscillating drag and inertia is transferred through mooring lines to power takeoff technology. This novel approach essentially reverses the typical marine engineering view that “bio-fouling is bad” and instead leverages off the added-drag of biological growth on structures. The approach results in a structure that is largely biodegradable, naturally self-replicating and synergistic with the background environment, self-de-risking in terms of failure impact and can leverage off its own form to enhance energy capture beyond a conventional design. This reduces impact while connecting with conventional marine industries such as aquaculture. A CBA examines the economic pros and cons of this approach, focusing on installation and material costs, along with benefits from synergistic production. The analysis suggests that in addition to typical wave energy obstacles (e.g., cable length, capture width, and power take off) the benefits (biodegradability, harvestability, and carbon reduction) of replacing much of the mass of the structure with living biological material can be included.

A certificateless keyword searchable encryption scheme in multi‐user setting for fog‐enhanced Industrial Internet of Things

AbstractIndustrial Internet of Things (IIoT), an appendage of the Internet of Things (IoT), upgrades conventional industries to intelligent and autonomous industries. It integrates different intelligent terminals, sensors, actuators, mobile devices, cloud computing through wireless communication to enhance operational efficiency and safety. However, it relies on the powerful data processing and unlimited storage capabilities of cloud computing by outsourcing its data and on‐demand services to the cloud server. This introduces privacy and confidentiality issues, and a high cost of data access on IIoT, especially for location bound data retrieval. To enforce confidentiality in IIoT, encryption techniques are being adapted to secure the outsourced data, but not without impeding the data searching operation. Several searchable encryption schemes have been proposed for secure and privacy‐preserving data retrieval in IIoT. However, most of these schemes not only completely relied on the cloud server but also susceptible to inside keyword guessing attack (IKGA). Besides, some of them use high computation intensive cryptography operations that make them computationally intensive for resource‐constrained data users and owners. In this article, we develop a lightweight searchable public‐key encryption scheme. The scheme is provably secure against IKGA. It contains a secure key distribution approach for generating and distributing the symmetric encryption key and allows secure ciphertext data search and retrieval in a multi‐user setting without compromising privacy. Finally, we analyze and evaluate the performance of the proposed scheme by comparing the results with some recent state‐of‐the‐art schemes to quantitatively show the capabilities of the scheme.

The Role of Value Co-Creation in ICT-based Service Innovation within Tourism Context

The rapid development of technology has shifted the conventional tourism industry towards the digitalization of the tourism sector. The emergence of travel booking platforms, as a form of technology-based service innovation, is able to simplify traveling activities and previous works of literature have indicated a positive relationship towards customer satisfaction. However, tourist’s behavior has change become more demanding to involve in the creation of value in accordance with their needs and wants. The concept of value co-creation elaborates this issue, offering a new concept of value creation and new roles between service providers and tourists. This study aims to examine value co-creation as mediating variable between IT-based service innovation and customer satisfaction, using DART measurements and SEM-PLS is used to assess the model. The findings prove that IT-based service innovation positively influences value co-creation between users, which can increase customer satisfaction. However, IT-based service innovation does not have a direct impact on customer satisfaction, which indicates that value co-creation fully mediating the relationship between service innovation and customer satisfaction. Thus to enhance customer satisfaction, service providers need to propose service innovation that facilitates customer involvement in value creation, which can be supported by technology. Keywords: Customer satisfaction, Service innovation, Tourism, Travel booking platform, Value co-creation.

Pneumatic Enabled Vertical Interconnect Access of Liquid Alloy Circuits toward Highly Integrated Stretchable Electronics

AbstractMultilayer circuits, particularly in stretchable electronics, are always considered as an effective way to integrate diverse components and modules for advanced/powerful functions required in the potential applications or complex scenarios. As a desirable soft conductor, liquid alloy circuits exhibit super compliance and stretchability. However, the lacking of reliable ways to fabricate multilayer circuits like other stretchable electronics, the advantage of liquid alloy stretchable electronics is far away well exploited, especially from the perspectives of application developments. Here, based on the unique features of rapid oxidation and fluidity from liquid alloy, a facile method is presented to achieve multilayer circuits connection with vertical interconnect accesses enabled by pneumatic blowing and surface topography tuning. This approach provides a new way to achieve high integration of liquid alloy based stretchable electronics, for example, a double‐layer soft LED array, a conformal six‐layer wireless charging, and a wireless communicated wearable device for temperature and humidity real‐time monitoring. Furthermore, compatible with conventional industry process, it may open a new window for making advanced or powerful liquid alloy stretchable electronics for various applications in complex scenarios.