Qunfeng Zeng, Hao Jiang, Qi Liu, Gaokai Li and Zekun Ning
This paper aims to introduce a high-temperature grease design method assisted by back propagation neural network (BPNN) and verify its application value.
Abstract
Purpose
This paper aims to introduce a high-temperature grease design method assisted by back propagation neural network (BPNN) and verify its application value.
Design/methodology/approach
First, the grease data sets were built by sorting out the base data of greases in a large number of literatures and textbooks. Second, the BPNN model was built, trained and tested. Then, the optimized BPNN model was used to search the unknown data space and find the composition of greases with excellent high-temperature performance. Finally, a grease was prepared according to the selected composition predicted by the model and the high-temperature physicochemical performance, high-temperature stability and tribological properties under different friction conditions were investigated.
Findings
Through high temperature tribology experiments, thermal gravimetric analysis and differential scanning calorimetry experiments, it is proved that the high temperature grease prepared based on BPNN has good high-temperature performance.
Originality/value
To the best of the authors’ knowledge, a new method of designing and exploring high-temperature greases is successfully proposed, which is useful and important for the industrial applications.
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Ming-Yang Li, Zong-Hao Jiang and Lei Wang
The purpose of the study is to investigate and analyze the dynamics of the government-enterprise grain joint storage mechanism, particularly, focusing on profit-driven speculative…
Abstract
Purpose
The purpose of the study is to investigate and analyze the dynamics of the government-enterprise grain joint storage mechanism, particularly, focusing on profit-driven speculative behaviors exhibited by enterprises within this context. The study aims to understand the various factors influencing the behavior of stakeholders involved in grain storage, including government storage departments, agent storage enterprises and quality inspection agencies.
Design/methodology/approach
The study employs a tripartite evolutionary game model to investigate profit-driven behaviors in government-enterprise grain joint storage. It analyzes strategies of government departments, storage enterprises and quality inspection agencies, considering factors like supervision costs and speculative risks. Simulation analysis examines tripartite payoffs, initial probabilities and the impact of digital governance levels to enhance emergency grain storage effectiveness.
Findings
The study finds that leveraging digital governance tools in government-enterprise grain joint storage mechanisms can mitigate risks, enhance efficiency and ensure the security of grain storage. It highlights the significant impact of supervision costs, speculative risks and digital supervision levels on stakeholder strategies, offering guidance to improve the effectiveness of emergency grain storage systems.
Originality/value
The originality of this study lies in its integration of digital governance tools into the analysis of the government-enterprise grain joint storage mechanism, addressing profit-driven speculative behaviors. Through a tripartite evolutionary game model, it explores stakeholder strategies, emphasizing the impact of digital supervision levels on outcomes and offering insights crucial for enhancing emergency grain storage effectiveness.
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Maria Björklund and Helena Forslund
This study aims to illustrate how retail chains with a green image align sustainable logistics actions, logistics measurements and contracts with logistics service providers…
Abstract
Purpose
This study aims to illustrate how retail chains with a green image align sustainable logistics actions, logistics measurements and contracts with logistics service providers (LSPs), and to develop a classification model that allows for a description of the various shades of green within companies.
Design/methodology/approach
We carried out a multiple case study of four retail chains with a green image operating in the Swedish market, collecting empirical data from the retail chains’ sustainability reports and home pages and conducting interviews with logistics, transportation and supply chain managers.
Findings
Based on the literature, we developed a classification model for judging green image, green logistics actions, green measurements and green contracts. The model is used to illustrate the different shades of green found within the respective retail chains. A green image seems well-aligned with green logistics actions. However, there are more levels to judge, and the measurement systems are not sufficiently developed to track green logistics actions. Contract handling is more developed among retail chains than measurements, which is positive, as this is a way of ensuring that LSPs are involved. In our classification model, greenwashing can be judged in a more nuanced way, delving deeper under the surface.
Research limitations/implications
The provided classification model adds to our knowledge and illustrates the alignment within companies’ sustainable logistics. The robustness of the model can be strengthened by applying it to a larger number of cases and by continually validating its content and evaluation criteria.
Practical implications
The study’s main practical contribution is the classification model, which may potentially serve as a method for managers to easily judge the green alignment of a retail chain’s logistics.
Originality/value
Few empirical studies capture how retail chains measure environmental logistics performance, and even fewer concern contracts stipulating the environmental demands placed on LSPs.
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Lei Wang, Yongde Zhang, Shuanghui Hao, Baoyu Song, Minghui Hao and Zili Tang
To eliminate the angle deviation of magnetic encoder, this paper aims to propose a compensation method based on permanent magnet synchronous motor (PMSM) sensorless control. The…
Abstract
Purpose
To eliminate the angle deviation of magnetic encoder, this paper aims to propose a compensation method based on permanent magnet synchronous motor (PMSM) sensorless control. The paper also describes the experiments performed to verify the validity of this proposed method.
Design/methodology/approach
The proposed method uses PMSM sensorless control method to get high precision virtual angle value, and then get the deviation value between virtual position and magnetic angle which is used as compensation table. Oversampling linear interpolation tabulation method has been proposed to eliminate the noise signals. Finally, a magnetic encoder with precision (repeatability) 0.09° and unidirectional motion precision 0.03 is realized. The control system with an encoder running at 14,000 and 0.01 r/min showing high motion resolution is also realized.
Findings
Higher value of current in PMSM leads to a magnetic encoder with higher precision. When using oversampling linear interpolation to tabulate the compensation table, it is understood that more oversampling does not lead to a better result. Finally, validated by experiments, using eight intervals to calculate the mean value of angle deviation leads to the best result.
Practical implications
The angle deviation compensation method proposed in this paper has a great practical implication and a good commercial application. The method proposed in this paper could be effectively used to self-correct the magnetic encoder using arctangent method and also correct any rotary encoder sensor.
Originality/value
This paper originally proposes an adaptive correction method for a rotary encoder based on PMSM sensorless control. To eliminate the noise signals in an angle compensation table, over-sampling linear interpolation tabulation method has been proposed which also guarantees the precision of the compensation table.
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Abstract
Large compressive residual stress is induced on the aluminum 6,061 sheets by application of typical processing named SMAT (Surface Mechanical Attrition Treatment). The incremental hole-drilling method is applied to assess the thickness-through distribution of residual stress associated with traditional rosette strain gauges and non contact optical method. The results obtained by these two technologies exhibit good agreement, which verifies the reliability of the optical setup. On the other hand, the effect of induced topography on the surface of aluminum sheets is discussed to collate the initial position of drilling process.
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In Chapter 4, the author will discuss the youth drinking epidemic regionwide, in order to demonstrate why the impacts of alcohol products on youths are concerning. The author will…
Abstract
In Chapter 4, the author will discuss the youth drinking epidemic regionwide, in order to demonstrate why the impacts of alcohol products on youths are concerning. The author will present the major youth drinking trends within SEA, to further study how the rampant alcohol trade regionally has adversely affected local youths to a troublesome degree. The author will point out the causes of the youth drinking epidemic, which are susceptibility and toxic culture. Next, the author will evaluate the national and regional costs of youth drinking, discussing how such a lifestyle results in consequences in relation to delinquency. The author will recommend policies for alcohol control that the SEA governments should take into account when amending or forming their policies to contain the epidemic of youth drinking. The outputs of Chapter 4 will draw a close association between youth smoking, youth drinking, and youth sexual misconduct. Therefore, the author indicates that these youth delinquency problems should be addressed simultaneously in order to eradicate the issues of holistic youth misbehaviours in the long term.
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Sara Abhari, Alireza Jalali, Mastura Jaafar and Reza Tajaddini
This paper aims to investigate the economic impacts of the current coronavirus disease, which is globally known as (COVID-19) pandemic, on small businesses in the tourism and…
Abstract
Purpose
This paper aims to investigate the economic impacts of the current coronavirus disease, which is globally known as (COVID-19) pandemic, on small businesses in the tourism and hospitality industry, including food and beverages (F&B) industries in Malaysia during and after the enforcement of the Movement Control Order (MCO) and conditional (CMCO) with the emergence of new business models.
Design/methodology/approach
In this paper, the implemented methodology involved a secondary qualitative research design based mainly on the existing literature, the World Health Organisation (WHO) reports, the government’s documents, in addition to online sources and observations regarding local business experiences.
Findings
The findings revealed that implementing effective strategies of recovery, shaping resilience solutions and supporting policies such as the National Recovery Plan, which is backed by the government played a pivotal role in avoiding the turndown of small businesses.
Originality/value
This critical review is submitted as an original research paper, which aims to provide important perspectives regarding the COVID-19 pandemic impacts on the tourism and hospitality industry in Malaysia. This paper serves as a scholarly platform for further in-depth studies on various resilience solutions of small businesses.
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The purpose of this paper is to investigate the retailer’s strategy of information sharing in a green supply chain with promotional effort, and the impact of information sharing…
Abstract
Purpose
The purpose of this paper is to investigate the retailer’s strategy of information sharing in a green supply chain with promotional effort, and the impact of information sharing on the decisions and profits of the manufacturer and the retailer.
Design/methodology/approach
The developed models aim to maximize the profits of the manufacturer, the retailer and the green supply chain system. The game theory is used to obtain the equilibrium solutions of both the manufacturer and the retailer. A two-part compensation (TPC) contract is designed to motivate the retailer to share information with the retailer. Numerical examples are used to show the impact of parameters on decisions by Matlab 2014.
Findings
The results show that the green degree increases while the promotional effort level decreases when the manufacturer receives the larger demand information from the retailer; information sharing leads to a profit increase to the manufacturer and a profit loss to the retailer, but can increase the profit of supply chain under a certain condition; information sharing reduces the expected consumer surplus. The TPC contract designed in this paper can not only motivate the retailer to share information but also increases the consumer surplus.
Research limitations/implications
The study has been done in a monopoly environment where only a retailer can forecast demand information. It is an interesting direction of future research when considering there are more retailers who can forecast such information in a supply chain.
Originality/value
There exist two main aspects that are different from the existing literature. The stochastic demand function related to the retail price, the green degree and the promotional effort have never appeared in previous literature. This paper considers a green product supply chain with a manufacturer who produces green products and a retailer who has an information advantage because of her promotional effort; this paper investigates the impact of information sharing on the consumer surplus and designs a contract to coordinate the green supply chain.
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Production-related industrial zones, super structures and infrastructures are constructed by the construction industry. Nearly all industries and their environmental emissions are…
Abstract
Production-related industrial zones, super structures and infrastructures are constructed by the construction industry. Nearly all industries and their environmental emissions are influenced by the construction industry including its sub-industries, companies and their supply chains. Furthermore, cities play an important role in economic growth. Cities are hubs for productivity, production, supply and demand, and innovation with the help of their human capital and built environment (e.g. offices, factories, industrial zones, infrastructures, etc.).
Industrial growth fosters urbanisation which is vital for the supply side in the economy to reach to the human resources. Urbanisation which supports industrial growth obstacles industries’ efficiency due to urbanisation problems (e.g. traffic, air and water pollution, health problems).
Construction industry and its sub-industries affect total factor productivity growth in nearly all industries. Construction industry can be a facilitator industry for economic growth and industrial growth considering total factor productivity growth and environment aspects. All industries’ green and sustainable total factor productivity growth can be supported by rethinking construction industry, its sub-industries and their outputs (e.g. construction materials, built environment, cities) as well as construction project management processes.
This chapter aims to introduce carbon capturing smart construction industry model to foster green and sustainable total factor productivity growth of industries. This chapter emphasises current and potential roles of construction industry, its sub-industries and their outputs in fostering other industries’ growth through green and sustainable total factor productivity growth. It focusses on carbon capturing technologies and design at different levels. Furthermore, this chapter emphasises cities’ role in green and sustainable total factor productivity growth. This chapter provides recommendations for construction industry policies and carbon capturing cities/built environment model to solve urbanisation problems and to foster industrial growth and green and sustainable total factor productivity growth. This chapter is expected to be useful to all stakeholders of the construction industry, policy makers, and researchers in the relevant field.
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Abdul Quadir, Alok Raj and Anupam Agrawal
The purpose of this paper is to investigate the impact of demand information sharing on products’ greening levels with downstream competition. Specifically, this study examine two…
Abstract
Purpose
The purpose of this paper is to investigate the impact of demand information sharing on products’ greening levels with downstream competition. Specifically, this study examine two types of green products, “development-intensive” (DI) and “marginal-cost intensive” (MI), in a two-echelon supply chain where the manufacturer produces substitutable products, and competing retailers operate in a market with uncertain demand.
Design/methodology/approach
The authors adopt the manufacturer-led Stackelberg game-theoretic framework and consider a multistage game. This study consider how retailers receive private signals about uncertain demand and decide whether to share this information with the manufacturer, who then decides whether to acquire this information at a certain given cost. This paper considers backward induction and Bayesian Nash equilibrium to solve the model.
Findings
The authors find that in the absence of competition, information sharing is the only equilibrium and improves the greening level under DI, whereas no-information sharing is the only equilibrium and improves the greening level under MI, an increase in downstream competition drives higher investment in greening efforts by the manufacturer in both DI and MI and the manufacturer needs to offer a payment to the retailers to obtain demand information under both simultaneous and sequential contract schemes.
Originality/value
This paper contributes to the literature by examining how the nature of products (margin intensive green product or development intensive green product) influences green supply chain decisions under information asymmetry and downstream competition.