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Considers the role and practices of total quality management in China. After a brief overview, considers the evolution of quality practices and the links to economic reform in China. From the quality literature, develops a measuring instrument to assess the extent and pervasion of quality practices in China. Then applies this instrument to 428 Northern Chinese companies representing different forms of ownership. Finds that the implementation of quality was highly variable. In general, joint venture companies scored highly in quality practices, in contrast, state owned enterprises scored poorly. Privately owned companies also scored well in some aspects of quality implementation. Concludes that the poor quality performance of state owned companies can be attributed to the attitudes and structures created during the period of the command economy.

This paper provides an exploration of the concept and content of agile manufacturing (AM). It describes the nature of the content of AM and synthesises the literature to propose a comprehensive definition of purpose and process. Real agile manufacturing (RAM) is viewed as a strategic process; it is about surviving and prospering in the competitive environment of continuous and unpredictable change by reacting quickly and effectively to changing markets. The paper argues that RAM is evolutionary, in that it is developed from existing systems of management and technologies. However, it is also revolutionary because the full application of RAM involves a departure from existing systems. RAM is shown to be based upon four fundamentals. First, each partner must benefit; thus multiple winners (manufacturers, suppliers, customers) is the objective. Second, integration (recourses, methods, technologies, departments or organisations) is the means of achieving RAM. Third, IT is demonstrated to be an essential condition. Finally, core competence is seen to be the key.

The purpose of this paper is to present a simple and effective method to search the optimal turn-on and turn-off angles on-line for the control of the switched reluctance motor (SRM). The optimal turn-on and turn-off angles are defined as the ones that can meet torque production requirements with minimum copper loss.

The optimal turn-on and turn-off angles are first defined based on the analysis of the SRM losses and torque production principles. Then the algorithm for optimal angles searching is developed, and the searching parameters are determined through analytical computation. The optimal angles are approached on-line with iterative process. Simulation and experiments are finally performed to verify the proposed method.

The presented method can meet torque production requirements while copper loss is minimized. The optimal turn-on and turn-off angles are generally approached within five phase cycles for most of the SRM operation modes. Furthermore, the SRM drive system using the presented method exhibits good dynamics during starting and sudden load operations.

The presented method is simple, and implementation of it is easy. It is an eligible candidate for industrial applications where energy conversion efficiency is crucial.

The optimal turn-off angle definition that considers both torque production and copper loss minimization is proposed. The turn-on and turn-off angles are searched independently on-line with little SRM geometrical information. The searching steps are derived through analytical computation and qualitative analysis so that both the searching speed and algorithm convergence are balanced.

The purpose of this research is to ascertain the feasibility of fabricating polymer optical fibers (POFs) based textile structures by knitting with Polymethylmethacrylate (PMMA) based optical fibers for textile sensor application. It has long been established that by using the principles of physics, POFs have the capability to function as sensors, detecting strain, temperature and other variables. However, POF applications such as strain and pressure sensing using knitting techniques has since not been very successful due to a number of reasons. Commercially available PMMA-based optical fibers tend to be fragile and susceptible to breakages when subjected to stress during the knitting processes. Also light transmitted within these fibers is prone to leakage due to the curvature that results when optical fibers are interlaced or interlooped within fabric structures.

Using Stoll’s multi-gauge CMS 350 HP knitting machine, five fabric structures namely, 1 × 4 float knit structure, tunnel inlay knit structure, 3:1 fleece fabric and 2:1 fleece fabric structure respectively were used to knit sensor samples. The samples were subsequently tested for length of illumination and sensitivity relative to applied pressure.

The results of this preliminary study establish that embedding plastic optical fibers into a knitted structure during the fabric formation process for soft strain sensor application possible. The best illumination performance was recorded for tunnel inlay structure which had an average of 94 cm course length of POF being illuminated. Sensor sensitivity experiments also establish that the relative spectral intensity of the fiber is sensitive to both light and pressure. Problems encountered and recommendations for further research have also been discussed and proffered.

Due to resource limitations, an innovative technique (use of precision weight set) was used to apply pressure to the sensors. Consequently, information regarding the extent of corresponding sensor deformation has not been used in this initial analysis.

Because the fundamental step toward finding a solution to any engineering problem is the acquisition of reliable data, and considering the fact that most of the popular technologies used for soft textile sensors are still bedeviled with the problem of signal instability and noise, the success of this application thus has the tendency to promote the wide spread adoption of POF sensors for smart apparel applications.

As far as research on soft strain sensors is concerned, to the best of the authors’ knowledge, this is the first study to have attempted to knit deformable sensors using commercially available POFs.

The purpose of the study is to investigate and reveal this relationship of various engineering demand parameters (EDPs) of this structural type and intensity measures (IMs) under intra-plate earthquakes.

The nonlinear finite element model used was calibrated first to the existing results of the shaking table test to verify the modeling technique.

This paper investigated the relationship between intensity measures and various engineering demand parameters of cable-stayed bridges using intra-plate earthquakes. The correlation analysis and Pearson coefficient are used to study the correlation between EDPs and IMs. The results showed that peak ground velocity (PGV)/peak ground acceleration, peak ground displacement and root-mean-square of displacement showed weak correlation with IMs. PGV, sustained maximum velocity, a peak value of spectral velocity, A95 parameter, Housner intensity and spectral acceleration at the fundamental period, the spectral velocity at the fundamental period and spectral displacement at the fundamental period were determined to be better predictors for various EDPs.

This paper investigated the correlation between the intensity measures of intra-plate earthquakes with the seismic responses of a typical long-span cable-stayed bridge in China. The nonlinear finite element model used was calibrated to the existing results of the shaking table test to verify the modeling technique. In total, 104 selected ground motions were applied to the calibrated model, and the responses of various components of the bridge were obtained. This study proposed PGV as the optimal IM.

The purpose of this paper is to identify the mediating effect of lean management (LM) dimensions on the relationship between flexible manufacturing systems (FMS) dimensions and operational performance metrics.

A survey questionnaire was developed based on previous literature and interviews conducted at the automotive facilities visited that identified 28 lean dimensions, 15 flexibility dimensions and 8 operational performance metrics. The survey was presented to 175 North American automotive manufacturing managers through interviews conducted at 64 automotive facilities. A total of 164 usable responses were studied.

Lean and FMS are multi-dimensional philosophies, the results demonstrate that the automotive industry in North America has implemented many dimensions of both philosophies. Each dimension is categorized based on specific organizational metrics. The 64 facilities studied use common dimensions identified by this study for lean and flexibility. Data analysis indicates a direct link between lean, flexibility and operational metrics. It shows that LM plays a critical role in improving the impact of flexibility on performance metrics. The results also indicate that specific lean and FMS dimensions or categories have higher significant roles than others in the relationship between LM, FMS and operational performance metrics.

Since the sample size only considered automotive manufacturing facilities, the results need to be considered with caution.

This research empirically develops a framework linking FMS and LM to operational performance metrics. This research addresses an area within which there is little consensus on the relationship between LM, FMS and their impact on operational performance metrics. The study is unique due to the depth and breadth of the investigation that far exceeds previous literature conducted. In addition, this research highlights the LM and FMS practices on which managers should focus on when attempting to improve operational performance metrics at their facility.

This paper aims to propose a model to assess leagile strategy effectively as one of the most discussed production and supply chain strategies.

This research is based on an integrated FLinPreRa-FQFD approach, which ranks and determines the importance of criteria and indices of the proposed model in an effective way.

“Cost” has been taken as the most important competitive advantage in the four selected industries. “Customer and market sensitiveness” has been considered as the most important enabler in three industries (“machinery and equipment,” “textile” and “food and beverage”). “Collaborative relationship” has been also considered as the most important enabler in the “material and chemical products” industry to gain leagility.

On the one hand, the proposed research model can be used as a reference guide for firms to reach leagility. This model presents indices of leagility at different levels. On the other hand, with respect to the main activities of the Iran Chambers of Commerce, Industries, Mines and Agriculture, including Qazvin’s, committed to provide requirements for economic development, this work provides an opportunity for the implementation of leagility model in 151 active companies. It also gives new insights into the leagility application in the four industries and Qazvin’s Chamber of Commerce, Industries, Mines and Agriculture.

This research has two main contributions. First, it presents a model of enablers and attributes of leagility, combined with four competitive advantages. Second, the research study is equipped with an integrated and consistent methodology that, first, helps decision makers prioritize their goals and agenda by means of fewer paired comparisons without the need of consistency rate and, second, allows for direct evaluation of impact of enablers on attributes of leagility.

Agile methods have proven successful in increasing customer satisfaction and decreasing time and cost to market under uncertain conditions. Key characteristics of agile methods are lean, flexibility and highly iterative development with a strong emphasis on stakeholder involvement. Today construction firms in general and small to medium‐sized enterprises (SMEs) in particular are surviving in a drastic competitive environment in which they are facing more and more challenges. Additional innovation is needed in the construction sector, with increased participation from more competitive SMEs. The main purpose of this paper is to present a model to prioritize available management systems to help SMEs address the challenge of today's market competition more effectively.

The research methodology used is that of interpretative case study and grounded theory based on a strong empirical foundation, on which new theoretical insight into knowledge management as an autonomous action is developed. The paper looks at ways by which SMEs are managed, based on the empirical data collected from 12 case studies. It presents the empirical findings drawn from the case studies. Finally, the adoption of agile methods is subjectively assessed as to its potential contribution for improving the business processes of small and medium construction firms.

It is assessed that agile methods offers considerable potential for application in construction SMEs and that there are significant hurdles to its adoption in the actual phase. Should these be overcome, agile methods offers benefits well beyond any individual company.

Construction firms need to be aware of the advantages of new management paradigms and practices. The analysis shows that SMEs in the construction sector have to internalize agile values into their business processes to reap the benefits of agile methods. It also reveals that existing practices show some kind of agile flavours.

Agile principles and methods are explored, including: philosophy, values, practices and benefits. The management approaches used by construction SMEs are analyzed and discussed. The paper presents recommendations and insights for enhancing the performance and efficiency of SMEs by adopting agile values in their business processes.

The purpose of this paper is to present an innovative agile methodology that proposes fundamental changes in managing the development of in-house information systems in small- and medium-sized enterprises (SMEs) and benchmarks it with one of two database technologies enabling these systems to be both efficient and competitive.

The objectives are achieved by presenting an elaborated design of the agile methodology that manages the system development process by addressing three basic components: roles played by system players, process needed to fulfill the system development, and artifacts to document the project. A case study is conducted as a proof of the effectiveness of the proposed methodology and measures whether the selection of the database technology affects the effectiveness of the system development process.

Results show that, compared with traditional methodologies, the proposed methodology reduced the cost of system development and testing by 30 percent and enhanced the IT – business alliance. Further, this work found that the selection of a suitable database technology is strongly related to the complexity and interrelationships between the data used.

Such research did not receive the needed attention (Hunter, 2004) even in the past decade. Successful adoption of IT by companies could be in the form of customized IS which could be expensive for SMEs to adopt due to a lack in technical expertise and financial resources. The proposed methodology has the potential to promote sustainable development through helping SMEs in reducing the time and cost of IT project development.

The purpose of this paper is to develop a framework to manage the strategy to counter disruptive innovation by identifying stronger attributes and key strategic areas for improvements in an engineering services context with less freedom to orchestrate product innovation. The authors also validate the combined use of multi-grade fuzzy, Importance-Performance Analysis (IPA) and gap analysis in developing the strategy to mitigate turbulence.

The paper presents a framework using a combination of Dynamic Capabilities and Organizational Agility to develop the strategy. The study uses data gathered from a 60-member engineering project team working on an Aircraft Engine Controller design to identify 50 attributes and the related importance and performance ratings. The research study is designed using a three-tier approach. First, multi-grade fuzzy is utilized to measure the overall firm response agility index. In the second step, the IPA is used to analyze the strength and weaknesses of the firm and to identify the attributes where the firm needs to focus. In the past step, gap analysis is used to prioritize the identified attributes. The findings are validated by panel discussions with a different group of experts from the project team and action points were arrived at.

This research work finds that the firms’ response agility index of 6.97 is comparable to that of the Original Equipment Manufacturers (OEMs) from previous literature, but still needs a better agility score to effectively counter turbulence from disruptive innovations. It also identifies seven key areas for improvement and their relative priority to effectively improve the response agility by utilizing the least number of resources, the reasons for the gap and the mitigation strategy to close the gap. The findings highlight a few key differences between an engineering services firm in comparison to OEMs and Software Services firms.

The findings help the practitioners with a comparative agility score of an engineering services firm, and an effective way of measuring agility, identify key focus areas and prioritize the actions using a simple set of data that could be collected regularly to keep track of the improvements. The provided strategic framework to improve the agility score can be used for continuous improvement.

This paper contributes to the existing literature by developing a framework for outsourcing services companies to cope with the turbulence by using dynamic capabilities and organizational agility. It also adds to the literature by extending the validity of IPA and gap analysis in making strategic decisions in an industrial set-up.