Search results

The purpose of this research is to detect, through applying a process-based view, how to manage economisation of the maintenance and modification operations in offshore petroleum logistics operations.

A single case study of engineering services, more specifically, maintenance and modification service operations, on a Norwegian Sea oil platform reveals the dynamics of building network capabilities in a consistent network structure. Two layers of coordination are studied: the engineering process and its context, represented by its network of interconnected firms. This case study empirically grounds how engineering service involves managing reciprocally interdependent exchange processes in the network structure.

Pooled interdependencies are vital in understanding the nature of service provision and use, and sequential interdependencies are vital in narrating the timing of processes to reveal the nature of process emergence to coordinate strings of production events. Furthermore, the network structure, when characterised by multiple interdependent projects, is also dynamic but at a slower pace.

Through the case study, operations management is revealed to be associated with project emergence at two levels: the core process level regarding daily continuous change, including the changing interaction of multiple different and interdependent projects, and the contextual level, where features of interdependency and integration change, affecting engineering service production. This provides guidance as to the economisation of engineering services. They change not only interactions in the flow of production but also its context.

Fractional Fokker-Planck equation (FFPE) and time fractional coupled Boussinesq-Burger equations (TFCBBEs) play important roles in the fields of solute transport, fluid dynamics, respectively. Although there are many methods for solving the approximate solution, simple and effective methods are more preferred. This paper aims to utilize Laplace Adomian decomposition method (LADM) to construct approximate solutions for these two types of equations and gives some examples of numerical calculations, which can prove the validity of LADM by comparing the error between the calculated results and the exact solution.

This paper analyzes and investigates the time-space fractional partial differential equations based on the LADM method in the sense of Caputo fractional derivative, which is a combination of the Laplace transform and the Adomian decomposition method. LADM method was first proposed by Khuri in 2001. Many partial differential equations which can describe the physical phenomena are solved by applying LADM and it has been used extensively to solve approximate solutions of partial differential and fractional partial differential equations.

This paper obtained an approximate solution to the FFPE and TFCBBEs by using the LADM. A number of numerical examples and graphs are used to compare the errors between the results and the exact solutions. The results show that LADM is a simple and effective mathematical technique to construct the approximate solutions of nonlinear time-space fractional equations in this work.

This paper verifies the effectiveness of this method by using the LADM to solve the FFPE and TFCBBEs. In addition, these two equations are very meaningful, and this paper will be helpful in the study of atmospheric diffusion, shallow water waves and other areas. And this paper also generalizes the drift and diffusion terms of the FFPE equation to the general form, which provides a great convenience for our future studies.

Companies are increasingly engaged with global engineering networks through offshoring of product development activities from R&D to production. This creates many new challenges as operations get physically and culturally decoupled. The purpose of this paper is to improve understanding of how to effectively manage engineering offshoring activities in a context of global engineering networks. The main research question, therefore, is: “Can offshoring of engineering tasks be explained and managed using the concept of Global Engineering Networks (GEN)?” Effective approaches to handling the associated risks of engineering offshoring will be a key area of the investigation.

The research approach is based on the engineering design research methodology developed by Blessing and Chakrabarti, including a descriptive phase and a prescriptive phase. Four case studies of large multinational corporations in Denmark were carried out. Data gathering was mainly documentary studies and interviews. The main data analysis approaches were coding (Strauss and Corbin) and pattern‐matching (Yin). The dataset was analysed using the GEN framework suggested by Zhang et al. and Zhang and Gregory.

Engineering offshoring presents companies with challenges related to communication and knowledge sharing which is addressed through formal and informal mechanisms as well as a more streamlined operation. However, this did not remove the challenges. The GEN framework suggests a systematic approach to understanding global engineering networks through investigating their contextual features, critical capabilities to compete in a particular contextual circumstance, and configuration characteristics to deliver the capabilities. Using the GEN framework, the challenges faced by companies and the risks associated with their engineering offshoring activities can be explained as a mismatch between the required capabilities and the companies' ability to deliver these capabilities.

This paper provides new theoretical insight into both engineering offshoring and GEN theories by extending the GEN framework to address complications within engineering offshoring. This strengthens both academic fields, and will be able to help engineering managers to develop appropriate engineering network configurations for offshore engineering operations.

Strategic trends towards service operations have been widely reported in the recent literature, but organisational capabilities to support such service-centred strategies are less well understood. The purpose of this paper is to identify key organisational issues in managing complex engineering service operations throughout the lifecycle.

Using instruments developed from the product lifecycle management technologies and the network configuration concept, key organisational issues for engineering service operations were identified through case studies focusing on complex engineering products and services systems across a variety of industrial sectors.

The case studies demonstrated different organisational features and strategic priorities of engineering service operations along the whole lifecycle. A generic trend has been observed for engineering systems to move from being design, development and manufacturing focused to embracing support and end-of-life recycling matters.

This paper provides an overall framework for integrating key organisational issues in engineering service operations. It contributes to the service literature by highlighting the need of developing appropriate organisational capabilities to support service-centred strategies with engineering cases. It also provides guidance for companies to manage their engineering network operations throughout the whole lifecycle of complex products and services systems.

This paper aims to improve understanding of how to manage global network operations from an engineering perspective.

This research adopted a theory building approach based on case studies. Grounded in the existing literature, the theoretical framework was refined and enriched through nine in‐depth case studies in the industry sectors of aerospace, automotives, defence and electrics and electronics.

This paper demonstrates the main value creation mechanisms of global network operations along the engineering value chain. Typical organisational features to support the value creation mechanisms are captured, and the key issues in engineering network design and operations are presented with an overall framework.

Evidenced by a series of pilot applications, outputs of this research can help companies to improve the performance of their current engineering networks and design new engineering networks to better support their global businesses and customers in a systematic way.

Issues about the design and operations of global engineering networks (GEN) are poorly understood in the existing literature in contrast to their apparent importance in value creation and realisation. To address this knowledge gap, this paper introduces the concept of engineering value chain to highlight the potential of a value chain approach to the exploration of engineering activities in a complex business context. At the same time, it develops an overall framework for managing GEN along the engineering value chain. This improves our understanding of engineering in industrial value chains and extends the theoretical understanding of GEN through integrating the engineering network theories and the value chain concepts.

The purpose of this paper is to propose an integrating framework for the configuration and performance of global engineering networks (GEN).

The reported study is based on a comprehensive literature review and refined by the practice of three global leading companies along key industry sectors.

This framework presents the key patterns of GEN from an evolution perspective and demonstrates the influence of the major driving forces.

In addition, this study also identifies research opportunities in two areas: further testing the theory of GEN with a broader range of industry sectors, and expanding the study to inter‐firm engineering activities. The further study is planned accordingly.

The paper offers a systematic view of GEN and can help companies in the design and operation.

Aiming at the inefficiency of solving the Sobol index using the traditional mathematical analytical method, a Sobol global sensitivity analysis method is proposed.

In this paper, a support vector regression (SVR) surrogate model is constructed to solve the Sobol index. The optimal combination of SVR hyperparameters is obtained by using the improved beluga whale optimization (IBWO). Meanwhile, in order to solve the problem that Sobol sequences will form correlation regions in high-dimensional space leading to the uneven distribution of sampling points, a scrambled strategy is introduced in the Sobol sensitivity analysis using IBWO-SVR. Thus, the IBWO-SVR-SS sensitivity analysis model is established.

The results of two test functions show that the method further improves the accuracy of the sensitivity analysis. Finally, the first-order Sobol index and second-order Sobol index are solved by the IBWO-SVR-SS method using the metro bogie frame as an engineering example. Through the analysis results, the key design parameters of the frame and the design parameter combinations with more obvious coupling relationships are identified, providing a strong reference for the subsequent analysis and structural optimization.

Sobol sensitivity analysis using the surrogate model method can effectively improve the efficiency of the solution. In addition, IBWO is used for the optimization of the SVR hyperparameters to improve the accuracy and efficiency of the optimization, and finally, the correction of the Sobol sequence through the introduction of the disruption strategy also further improves the accuracy of the sensitivity analysis of Sobol.