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Influenced by the constantly changing manufacturing environment, no single dispatching rule (SDR) can consistently obtain better scheduling results than other rules for the dynamic job-shop scheduling problem (DJSP). Although the dynamic SDR selection classifier (DSSC) mined by traditional data-mining-based scheduling method has shown some improvement in comparison to an SDR, the enhancement is not significant since the rule selected by DSSC is still an SDR.

This paper presents a novel data-mining-based scheduling method for the DJSP with machine failure aiming at minimizing the makespan. Firstly, a scheduling priority relation model (SPRM) is constructed to determine the appropriate priority relation between two operations based on the production system state and the difference between their priority values calculated using multiple SDRs. Subsequently, a training sample acquisition mechanism based on the optimal scheduling schemes is proposed to acquire training samples for the SPRM. Furthermore, feature selection and machine learning are conducted using the genetic algorithm and extreme learning machine to mine the SPRM.

Results from numerical experiments demonstrate that the SPRM, mined by the proposed method, not only achieves better scheduling results in most manufacturing environments but also maintains a higher level of stability in diverse manufacturing environments than an SDR and the DSSC.

This paper constructs a SPRM and mines it based on data mining technologies to obtain better results than an SDR and the DSSC in various manufacturing environments.

The active voice behavior of customers is crucial to the development of enterprises, but few studies have examined how to promote customer voice behavior. Does a sense of power drive consumers to provide advice to the companies involved? This paper aims to address the issue.

By conducting three experiments, the authors proved the effect of the sense of power on customer voice behavior. In Study 1, the authors manipulated subjects' sense of power levels (high vs low) through an episodic recall task. Tangible goods were used as experimental material. The authors verified that power had a positive impact on customer voice behavior. In Study 2, the authors changed the experimental materials to intangible service products and used role-playing tasks to manipulate the subjects' sense of power. Study 2 validated the mediating role played by self-confidence in the main effect. In Study 3, the authors validated the moderating role of self-doubt for the power effect.

Based on the approach-inhibition theory of power and the situated focus theory of power, the current research finds that there is a positive effect of consumer's sense of power on their voice behavior. It also further analyzes the mediating role of self-confidence, the mechanism by which power affects customer voice behavior. However, this positive effect does not always occur. Self-doubt plays a moderating role in this relationship. If the individual's self-doubt level is high, the positive effect of power on the individual's self-confidence cannot be observed, which means that self-doubt is a boundary condition for the positive effect of power on individuals' self-confidence.

The authors discuss the influence of sense of power on customer voice behavior and test the mediating role of self-confidence and its boundary conditions. The results show that consumers are more confident in themselves when they feel a sense of power and are more likely to proactively make suggestions to the company. However, the overall effect is not obvious when consumers have a high level of self-doubt. As a psychological state of consumers that firms can easily manipulate, the effects of power on consumer behavior remain to be explored by the authors.

The findings of current research suggest that empowering consumers who are less self-doubting can increase their self-confidence, which, in turn, can lead to more active expression and feedback on issues that need improvement in their experience. Thus, companies can enhance consumers' sense of power through some ways, such as using environmental elements to stimulate consumers' sense of power.

There are few studies on how the sense of power affects consumers' voice behavior. Prior work on voice behavior has focused on the perspective of customers' perception of the social exchange relationship between themselves and enterprises. The research explores the strategies suitable for enterprises to promote customer voice behavior from the perspective of the sense of power, and the findings contribute to the research on the sense of power and consumer voice behavior.

This paper seeks to discuss the genealogical sources for Chinese immigrants as well as the settlement of Chinese in the USA and the historical evolution of Chinese names, their origins, arrangement and development. It aims to cover the origins of various classes of Chinese surnames, followed by the content description of a traditional genealogical book for jiapu.

The paper researches the various ways that a Chinese person can find out about their ancestry.

The paper reveals the roles of libraries, including serving the needs of patrons interested in genealogical research, preserving and interpreting information through oral and family history projects and collaborating with other libraries through interlibrary loan, document delivery, library consortia, collection management and international resource‐sharing.

The study provides information on where and how to locate the genealogical resources for researching the genealogy of a Chinese family.

The paper analyzes the value of genealogical research as a documentary source for population history, life expectancy in a clan, marriages and family connections, as well as lineage organizations and inter‐lineage relations.

A multi-load available, response reliable and product-friendly method is in urgent need to diagnose the signs of incipient arcing. This paper aims to propose a novel algorithm that originates the application of correlativity analysis of wavelet high-frequency component in state discrimination and further in arcing detection.

The proposed method calculates the correlation coefficient between the extraction by wavelet transform of arcing series current and that of normal, compares it with a predefined threshold and outputs a trip signal when eight qualified arcing half cycles within a period of 0.5 s are detected.

Typical appliances are selected in laboratory for arc detection to test the method which carries on independently of impedance type. The algorithm could be optimized to identify arcing for different kinds of loads, including resistive, inductive, capacitive and switching power supply loads, with a same correlation coefficient threshold.

The arithmetic operations of the method are addition and multiplication, which contribute to efficient data computation and transmission for micro-processor to undertake. The reference optimal sampling rate recommended for the algorithm helps to reduce the processed data volume and shows its promising prospect for portable product development.

This proposed correlativity analysis of wavelet transform component algorithm could classify the tested signal into two categories, which benefits the discrimination of normal and fault states in condition monitoring. Laboratory tests prove that it works effectively in arc detection for the commonly used impedance types of loads and needs no offline self-learning or training of samples.

Automating the welding process for the shipbuilding industry is very challenging and important, as this industry relies heavily on quality welds. Conventional robotic welding systems are seldom used because the welding tasks in shipyards are characterised by non‐standardised workpieces which are large but small in batch sizes. Furthermore, geometries and locations of the workpieces are uncertain. To tackle the problem, a Ship Welding Robot System (SWERS) has been developed for the welding process. The main features of the SWERS include a special teaching procedure that allows the human user to teach the robot welding paths at a much easier and faster pace. In addition, operation of the system is made easier through a custom designed man‐machine interface. Through this interface, only a few buttons need to be pressed to command the robot into different modes. Optimised welding parameters can be selected from a large database through a Graphical User Interface system.

After many years’ practice and experiments, it was found that quantitative analysis systems with unequal quantitative effect cannot be extended into that with equal quantitative effect. While it is related to such epistemological viewpoints as irregularity and continuity systems, an infrastructural form comparison has shown universally scientific and methodological characteristics. In combination with evolution of weather systems, our infrastructural analysis involves applications of super low temperatures, reversed information order, rolling currents infrastructure in reversal weather change and long‐term weather forecasting.

In the wake of the ongoing financial crisis, US managerialism has been denounced as a professional caste that has slowly served to erode the competitiveness of the US economy. In light of this, there is an increasing search for possible alternatives to US managerialism, with some authorities putting forward that one enviable alternative is “Confucian management”, which they claim is a means of organising in Chinese institutions that gets things done by pulling on the rich heritage of Ancient Chinese philosophy. The purpose of this paper is to interrogate “Confucian management”.

This paper questions the common view of “Confucian management” through an ethnography of Baiyun University (a pseudonym) in South China, where the author worked as a “foreign” English lecturer for one academic year, and in order to do this the author draws on participant-observation and semi-structured interviews. Ethnography has long been associated with colonialism and has more recently been connected with post-colonialism, so in an attempt to decolonise the methodology, the author analyses the generated research data through a Chinese sensitive cultural framework.

This paper argues that “Confucian management” offers a confused and epistemologically questionable view on Chinese management. It points to some of the limitations of management and organisation studies brought about by claims being made without sufficient empirical evidence.

The focus is on “Confucian management” at Baiyun University so findings are specific to this empirical research site. It is also acknowledged that universities have a divergent form of management to other institutions. The paper’s intent is ideographic rather than nomothetic; therefore, no claims to generalisation are made.

The paper makes three substantive contributions. First, the empirical contribution is an ethnographic description of “Confucian management” at Baiyun University. Second, the methodological contribution attempts to decolonise methodology by analysing the generated research data through a Chinese sensitive cultural framework. Third, the epistemological contribution queries to what extent “Confucian management” as an idea that is enunciated from the Global North is able to effectively speak about a practice that is supposedly performed in the Global South.

This chapter examines the changing state–university–student relationships in post/socialist China since the late 1980s. We begin with an introduction to four salient themes in scholarship on Chinese post/socialism that are highly relevant to higher education: globalization, gradualism, civic society, and a critique of holism. These themes help us explain interrelated educational trends that affect the state–university–student relationship: the globalization, “massification,” and stratification of higher education; the redefined role of the state in university governance and management; higher education marketization and privatization; and the quest for meaning and (e)quality in and through higher education. Our general argument is that during the “socialist” period the main relationship central to higher learning was between the state and students. Universities were agents of the state; from a legal point of view, indeed, universities did not have an independent status from the state. In the “post-socialist” era the university–student relationship has become more significant. We examine this reconfiguration through two case studies, one on the development of college student grievance and rights consciousness, and the other on reforms in higher education student services administration. When looked at from the point of view of the state, we see that appropriation and implementation of policies and regulations shaping student rights and services are in partial contradiction with state policies to accelerate economic growth and bolster party authority. From the point of view of universities, we see institutions grappling with how to deliver on forward-looking structures and actions while navigating between the state's policy mandates and growing expectations and demands of its student and business stakeholders. From the point of view of students, we see how constrained agency, uncertainty, and the power of the credential motivates social praxis. At all levels of the state–institution–student relationship actors are employing a kind of pragmatic improvisation (one of the salient features of post/socialism) captured by the well-known Chinese proverb “groping for stones to cross the river.” This saying is an apt metaphor for the tentative searching by state, institution, and individual for a safe foothold in the post/socialist world.

Major public cloud providers, such as AWS, Azure or Google, offer seamless experiences for infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). With the emergence of the public cloud's vast usage, administrators must be able to have a reliable method to provide the seamless experience that a public cloud offers on a smaller scale, such as a private cloud. When a smaller deployment or a private cloud is needed, OpenStack can meet the goals without increasing cost or sacrificing data control.

To demonstrate these enablement goals of resiliency and elasticity in IaaS and PaaS, the authors design a private distributed system cloud platform using OpenStack and its core services of Nova, Swift, Cinder, Neutron, Keystone, Horizon and Glance on a five-node deployment.

Through the demonstration of dynamically adding an IaaS node, pushing the deployment to its physical and logical limits, and eventually crashing the deployment, this paper shows how the PackStack utility facilitates the provisioning of an elastic and resilient OpenStack-based IaaS platform that can be used in production if the deployment is kept within designated boundaries.

The authors adopt the multinode-capable PackStack utility in favor of an all-in-one OpenStack build for a true demonstration of resiliency, elasticity and scalability in a small-scale IaaS. An all-in-one deployment is generally used for proof-of-concept deployments and is not easily scaled in production across multiple nodes. The authors demonstrate that combining PackStack with the multi-node design is suitable for smaller-scale production IaaS and PaaS deployments.

The purpose of this paper is to propose a new software tool to support design for quality (DfQ) in the electronics manufacturing sector where quality and reliability are critical.

An integrated modelling framework that enables complete and realistic representations of manufacturing systems is proposed. A software tool, developed based on this framework, offers two modules to support DfQ: simulation and root cause analysis. This paper focuses on the latter.

Integrated models enable tracing back effects to their root causes. Software tools based on these, kind of models can provide support in finding and eliminating the cause of a particular effect. This capability can be used to perform DfQ in an effective and accurate way.

The approach proposed strongly depends on the quality models within the integrated modelling framework. The models currently available are little and simplified. Future work includes the enrichment of the software by developing and more quality models.

The adoption of the proposed approach in an industrial context requires formalised information to fulfil the data required by the integrated modelling framework.

The main contribution of the paper is the integrated modelling framework definition and its implementation in the form of a software tool. The adoption of this tool in printed circuit assembly companies can support the solution of real quality problems and consequently, help to optimise manufacturing systems in the domain.