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This project attempts to present a space component inventory classification system for space inventory replenishment and management. The authors propose to adopt a classification system that can incorporate all the different variables in a multi-criteria configuration. Fuzzy logic is applied as an effective way for formulating classification problems in space inventory replenishment.

A fuzzy-based approach with ABC classification is proposed to incorporate all the different variables in a multi-criteria configuration. Fuzzy logic is applied as an effective way for formulating classification problems in space inventory replenishment of the soil preparation system (SOPSYS) which is used in grinding and sifting Phobos rocks to sub-millimeter size in the Phobos-Grunt space mission. An information system was developed using the existing platform and was used to support the key aspects in performing inventory classification and purchasing optimization.

The proposed classification system was found to be able to classify the inventory and optimize the purchasing decision efficiency. Based on the information provided from the system, implementation plans for the SOPSYS project and related space projects can be proposed.

The paper addresses one of the main difficulties in handling qualitative or quantitative classification criteria. The model can be implemented using mathematical calculation tools and integrated into the existing inventory management system. The proposed model has important implications in optimizing the purchasing decisions to shorten the research and development of other space instruments in space missions.

Inventory management in the manufacture of space instruments is one of the major problems due to the complexity of the manufacturing process and the large variety of items. The classification system can optimize purchasing decision-making in the inventory management process. It is also designed to be flexible and can be implemented for the manufacture of other space mission instruments.

The successfulness of total quality management is dependent on the initiative of employees to apply their problem solving techniques continuously. However, the performance evaluation is quite subjective since it relies on the individual judgements of supervisors who have different perceptions of the process performance. This paper presents a performance measurement system to determine the priority in execution of quality improvement according to the performances of processes. Using a model containing a set of strategy‐related performance measures, misdirection of implementation of improvement projects due to subjective evaluation of process performance can be reduced. A fuzzy set of quality measures is introduced to calculate numerical quality rating for processes. The model is simulated and experimented on with a conventional improvement implementation practice. It is expected that the proposed model is superior in the major competitive capabilities including quality, cost flexibility, delivery reliability and speed.

This paper sets out to present the weight optimization of sampling drill‐bits which is designed for European Space Agency – Beagle 2 Mars Express mission.

In this study, two techniques, finite element analysis and numerical optimization, are employed to find out the optimal solution within the various constraints.

The result shows that the total weight of sampling drill‐bits was reduced over 76.7 percent.

The proposed methodology can also be applied in different engineering design applications and provides a total integrated solution as a generic template for design engineers.

In the majority of public utilities, achieving optimum utilisation of existing capital assets for meeting future predicted demand is a major function at all levels of management. In this paper, a set of maintenance strategies and a computerised Supervisory Control and Data Acquisition (SCADA) system for achieving an integrated maintenance management is described. The objective of the integrated system is to enable maintenance projects to be better controlled and resources to be properly utilised. A case study is used to illustrate the proposed maintenance strategies which include the identification of real time and historical data required to measure, visualise and quantify the progress of maintenance activities. Existing and proposed systems and procedures are analysed and discussed with major recommendations included for the design and implementation of this integrated system.

Examines the logistics environment and the manufacturing logistics strategy in Hong Kong, based on six case studies. The manufacturing structure of Hong Kong industry is identified. The following logistics strategies adopted by Hong Kong companies are discussed: market intelligence, sourcing, front‐end activities, manufacturing distribution, back‐end activities, vertical integration, ethnic network, free market, and information technology. The logistics related environmental factors that are taken into consideration include geographical location, telecommunication infrastructure, finance infrastructure, air transportation infrastructure, sea transportation infrastructure, road transportation infrastructure, professional services, culture, and information technology. A framework of environment‐strategy (E‐S) fit is developed in the perspectives of Hong Kong manufacturing logistics. The factors contributing to the manufacturing success in Hong Kong are also discussed.

This study aims to investigate whether auditors compromise their independence for economically important clients in family business settings.

The authors empirically examine the research question based on China for the years 2011 to 2020. The dependent variable is the auditors’ propensity to issue modified audit opinions, which is a proxy for auditor independence. The authors use relative client audit fees as a proxy for client importance. To address endogeneity issues in the selection of family firms, the authors use the two-stage least squares regression model and, subsequently, the propensity score matching and Hausman firm fixed effect modeling.

This study reveals that the propensity to issue modified audit opinions is positively correlated with client importance. Big-N auditors are more likely to issue modified audit opinions for their economically important family firm clients, whereas such evidence is not found for non-Big-N auditors. Results are consistent and robust to endogeneity test and sensitivity analysis.

This study enriches the literature on auditor independence and the effect of family firms’ ownership structure factors on audit reporting behavior for their economically important clients. Findings may prove useful for managers and practitioners interested in family business.

A way of initiating and sustaining the implementation of total quality management (TQM) by exploiting the widely adopted manufacturing resource planning (MRP II) is presented. A detailed analysis of MRP II software has found that they have a number of inherent features that can be further extended to organizational performance including operations efficiency, responsiveness, company‐wide problem‐solving capability and product quality. This paper contributes in the development of a model for the MRP II with the incorporation of mechanisms to initiate a culture change in the organization towards TQM. In the adaptation of MRP II to guide the implementation of TQM, a structural analysis technique was proposed to help develop a model and methodology for the integration. In the structural analysis, an IDEF model of a “reference” company structure was created to illustrate and describe the integration. The reference company, which is a lamp manufacturer, is used to illustrate the systematic implementation of the TQM philosophy through adaptation of the MRP II software. The study demonstrates that MRP II can be adapted to provide the drive for effective implementation of TQM for productivity and profits.

Opposition to transnational calls for the adoption of accrual-based accounting in the public sector may stem from arguments that it is associated with poor earnings quality. The purpose of this paper is to determine whether state owned enterprises (SOEs) operating under accrual-based accounting manage their earnings, whether it is more prevalent vis-à-vis privately owned enterprises (POEs) and the conditions under which it is more likely to occur.

This paper measures earnings management for a large sample of unlisted Italian SOEs and POEs using a framework developed by Stubben (2010). The authors use regression analysis to estimate the variables which predict abnormal accruals including firm size, leverage and profitability.

The authors find no evidence that the level of state ownership (SO) is positively correlated with accrual-based earnings management. The authors also provide evidence that earnings management by SOEs decreases with firm size and increases with profitability.

While the study is the first to examine earnings management in a public sector accrual accounting environment for a sample of European firms, namely Italian firms, the authors call for more research into this issue examining public entities in other European Union (EU) member states or public entities other than SOEs.

The EU recently introduced a new transnational accounting directive in which it prescribes the preparation of financial statements based on accrual accounting for all European public sector entities, arguing that it reduces the window dressing that is allowed by cash accounting. Since Italian SOEs already prepare their accounts on an accruals-basis, by analysing their accounting behaviour the authors are able to determine the variables which predict when earning management is more likely to occur in a public sector accrual accounting environment, and therefore the authors provide guidance which may be useful in shaping the transition process from cash accounting to accrual accounting by identifying the types of entities whose accounts should be subject to greater regulatory scrutiny. A better understanding of the relation between SO and earnings management will provide insight into public sector corporate governance and aid in the acceptance of transnational regulation that would otherwise significantly alter current accounting practices and possibly be opposed at a national level.

Earnings management in a public sector accrual accounting environment had been analysed only for Chinese listed companies. The authors extend previous analysis to a sample of European (Italian) SOEs which are unlisted. The authors also extend previous work by determining the characteristics of firms which manage their earnings.

The purpose of this paper is to investigate the impacts of the 2008 Chinese stimulus program on earnings management.

Using a sample period from 2004 to 2011 (per-stimulus period: 2004-2007 and post-stimulus period: 2008-2011), the authors compare the change in earnings management between the firms that received the stimulus funds and those that did not receive the stimulus funds.

The authors find that from the pre- to post-stimulus period, the recipient firms experienced a greater increase in downward accrual management and a greater decrease in real management than the non-recipient firms did. This result is primarily driven by the non-state-owned enterprises and firms using non-Big-Four auditors.

The results suggest that the earnings management level is ultimately determined by the underlying economic and political factors influencing managers’ and auditors’ incentives (Cohen, 2008; Ball et al., 2003). Meanwhile, some mechanisms, such as high-quality audit (Eshleman and Guo, 2014) and state ownership (Wang and Yung, 2011) can also play a role in determining the level of earnings management.

This paper presents the findings based on a survey conducted to examine the status and extent of the use of computer‐based technology (CBT) to support “quality”, including such aspects as quality control, quality assurance and quality management, in Hong Kong. Five main categories of CBTs, namely decision support systems (DSSs), group support systems (GSSs), executive information systems (EISs), expert systems (ESs) and artificial neural networks (ANNs), in support of quality are surveyed. The survey findings indicate that CBT usage to support quality in Hong Kong is low, particularly ESs and ANNs. This is partly due to a lack of awareness regarding the potential of CBTs in supporting quality among their potential users, and partly because of a lack of availability of suitable software to support their use. This paper represents a first attempt to examine the real‐life use of CBTs in support of quality. Based on the research findings, we have identified several opportunities for further research and suggested a number of research directions for CBTs to support “quality”in practice.