Industrial analytics – An overview

The digital transformation generates huge amounts of heterogeneous data across the industrial value chain, from simulation data in engineering, over sensor data in manufacturing to telemetry data on product use. Extracting insights from these data constitutes a critical success factor for industrial enterprises, e. g., to optimize processes and enhance product features. This is referred to as industrial analytics, i. e., data analytics for industrial value creation. Industrial analytics is an interdisciplinary subject area between data science and industrial engineering and is at the core of Industry 4.0. Yet, existing literature on industrial analytics is fragmented and specialized. To address this issue, this paper presents a holistic overview of the field of industrial analytics integrating both current research as well as industry experiences on real-world industrial analytics projects. We define key terms, describe typical use cases and discuss characteristics of industrial analytics. Moreover, we present a conceptual framework for industrial analytics that structures essential elements, e. g., data platforms and data roles. Finally, we conclude and highlight future research directions.

Industrial symbiosis in circular economy

In Russian Federation the questions of transformation of the current linear model of economy into the low-carbon model having the least negative impact on the environment are very urgent. Among the ways to realize the required transition scientists recognize the introduction of the concept of circular economy, as well as the organization of a system of interaction between industrial enterprises on the basis of the principles of industrial symbiosis. The scope of application of the industrial symbiosis model in the circular economy remains insufficiently studied in the scientific environment, which actualizes its solution. There has been defined the hierarchy of conceptual and categorical apparatus of industrial symbiosis in the circular economy. Integration of the companies on the basis of using the model of industrial symbiosis takes place due to the combination of environmental and economic interests of its participants by forming the industrial value chain. Symbiotic links involve the rational use of resources, which leads to the less intensive production processes and, consequently, to the reduced carbon emissions. Obtaining a synergistic effect is an incentive that encourages industrial structures to form symbiotic links. There has been stated the growth of transaction costs, which can be designated as a negative effect of the industrial symbiosis model. The directions for reducing this influence are proposed: improving the pricing model for industrial waste, taking into account territorial proximity and the need for industry associations and unions to participate in finding partners. The concept of industrial symbiosis is considered and clarified, which includes the principles, purpose and effects to characterize this term. The conclusion about the role of industrial symbiosis in the circular economy has been made.

Systemic Insights on the Integration of UN Sustainable Development Goals within the Norwegian Salmon Value Chain

This study proposes a conceptual framework that aims to gain insight into the integration of the sustainable development goals (SDG) within the Norwegian salmon value chain (NSVC). The proposed framework was developed by applying the systems engineering six-step method and validated through empirical findings from the NSVC. The framework’s application highlighted and analyzed the presence of the SDGs in corporate sustainability reports, academic curriculum, research, and governmental policies. This study uncovered the complexity-reduction elements within the system that drive SDG integration and assure their progress. The SDGs provide a global context for sustainability endeavors in the NSVC. A globally expanded value chain has an organic relationship with global sustainability terms and schemes. The existing practice of corporate sustainability annual reporting was found to be a significant channel for SDG communication. The novelty of this study was that it proposed a mind-map to understand SDG integration within an industrial value chain abstracted into three concepts: commitment, communication, and performance measurability.

Nonlinear Characteristics of the Effect of Manufacturing Servitization on Consumer Business Performance

Servitization is an important trend in the transformation and upgrading of the manufacturing industry, but whether it can significantly improve enterprise performance is the key to the transformation. Based on the sample of Chinese A-share listed companies from 2011 to 2019, we analyze the business scope of 2502 annual reports to identify the service level of consumer goods manufacturing enterprises. The results show the following. (1) The “service performance” curve shows obvious nonlinear trends and heterogeneity in different industries and different performance conditions. The curve between servitization and return on assets tends to show a positive “U” shape, but the relationship between servitization and revenue per employee obviously shows an inverted “U” shape. (2) Manufacturing enterprises with relatively low technical complexity and relatively high industry competition will reach the inflection point of service performance “U” curve more quickly and get rid of “service trap” more easily. (3) The automobile manufacturing industry invests in software development and other fields that are not related to its own advantages, which violates the correlation law of the industrial value chain, leading to the coexistence of “service trap” and “principle-agent dilemma.” The clothing and electrical appliances industries are more likely to fall into the “service trap” because they face the challenge of “Internet + manufacturing” transformation. The beverage and wine manufacturing industry has induced a “service spillover” effect, which is mainly due to its low technical complexity and service based on the industrial chain. It is proposed that manufacturing enterprises explore business growth points from the perspective of industrial value chain extension and strengthen upstream product R&D and terminal e-commerce services.

Nondestructive evaluation of the biogenic amine in crayfish (Prokaryophyllus clarkii) by nearinfrared spectroscopy

Biogenic amines are a group of nitrogen substances and widely adopted to assess the food safety, especially for the aquatic products. In China, crayfish ( Prokaryophyllus clarkii) have become one of the most famous aquatic products and form a complete industrial value chain. To ensure the safety of the crayfish industrial chain, a rapid and nondestructive method for determining the biogenic amines of crayfish by nearinfrared spectroscopy coupled with chemometrics was proposed in this study. The quantitative models of histamine, tyramine, cadaverine, and putrescine were built by using the partial least squares (PLS) regression. The spectral preprocessing and the wavelength selection methods were adopted to optimize the models. For histamine, cadaverine, and putrescine in peeled or whole tails, reasonable quantitative results can be obtained by using the optimized models; the coefficient of determination (r2) are 0.88 and 0.90, 0.88 and 0.91, 0.89, and 0.84, respectively. As for tyramine in peeled or whole tails, the results are acceptable and the coefficient of determination (r2) is 0.83 and 0.74, respectively.

Research on Internet Development and the Value-added Path of Manufacturing Value

In the context of the rapid development of global value chain theory, “Internet” as the main feature of digital trade has bred greater opportunities for international cooperation and has become a driving force for the reconstruction of global value chains. This paper studies the relationship between the development of the Internet and the reconstruction of the value chain, verifies the evolution path of the industry’s added value through theoretical derivation, and answers the impact of the development of the Internet on the evolution path of the smile curve. The results show that the “smile curve” is not a necessary feature of the upgrade of the manufacturing value chain. Some industrial value chain upgrades the form of a “Muslim curve”, and the Internet can affect the value added of the manufacturing industry’s export value through three ways.

A Research for Feasibility Analysis and Model Building of e-Tourism Industrial Value Chain with Cooperation of Industry, Government and University in Taiwan

This paper investigates the technical resources of cooperation of industry, government and university, and how industrial value chains (IVC) in e-tourism industry develop in such collaboration. First, the chance of cooperation between small and medium enterprises (SMEs) in tourism industry and information technology developers were discovered inside the national industry policies of Taiwan, and local technological universities could play a key role inside as an official resource importer. Then, theoretical feasibility of industry-government-university cooperation in e-tourism and IVC were testified to build the core concept of e-tourism IVC model with cooperation of industry, government and university. Furthermore, based on prospective framework in e-tourism, the research team, consisting of professionals in various fields, put the concept into practice by endeavoring to collaborate with enterprises in tourism and information and communication technology (ICT) industry. After complying with requirements of grant applying programs, the team acquired funds of 570,000 NTD from Ministry of Education (MOE), companies and universities, making this cooperation model preliminarily practical. As stated above, e-tourism IVC model with cooperation of industry, government and university is an applicable university-industry cooperation (UIC) model technological universities can utilize to enhance competitiveness of ICT and tourism industries, as well as SMEs.