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The purpose of this paper is to investigate the combination of selective laser melting (SLM) and 5-axis CNC milling to produce parts from titanium powder. The aim is to achieve a more resource-efficient manufacturing process by reducing material wastage and machining time, while adhering to quality requirements.

A benchmark titanium aerospace component is manufactured with two different approaches using subtractive and additive manufacturing technologies. The first component is produced from a solid billet using only 5-axis CNC milling. The second component is grown from powder using SLM to produce a net-shaped part of which the final shape and part accuracy are achieved through 5-axis CNC milling. The potential saving of material and machining time of the process combination is evaluated by comparing it to the conventional purely CNC approach. The form accuracy, surface finish, mechanical properties and tool wear for the two processes are also compared.

The results show that the process combination can be used to produce Ti components that adhere to aerospace standards. With the process combination, a material saving of 87 per cent was achieved along with a reduction of 21 per cent in machining time. Further improvements are possible using optimized SLM build and machining strategies.

This paper presents the results of a resource efficiency assessment on the combination of SLM and 5-axis CNC milling for the titanium alloy, Ti6Al4V. It is expected that this process combination can make a significant contribution towards reducing material wastage and machining time for aerospace applications.

This paper aims to present a combination modeling method using multi-source information in the process to improve the accuracy of the dimension propagation relationship for assembly variation reduction.

Based on a variable weight combination prediction method, the combination model that takes the mechanism model and data-driven model based on inspection data into consideration is established. Furthermore, the combination model is applied to qualification rate prediction for process alarming based on the Monte Carlo simulation and also used in engineering tolerance confirmation in mass production stage.

The combination model of variable weights considers both the static theoretical mechanic variation propagation model and the dynamic variation relationships from the regression model based on data collections, and provides more accurate assembly deviation predictions for process alarming.

A combination modeling method could be used to provide more accurate variation predictions and new engineering tolerance design procedures for the assembly process.

To meet the requirements of high-dimensional accuracy and surface finish of various advanced engineering materials for generating intricate part geometries, non-traditional machining (NTM) processes have now become quite popular in manufacturing industries. To explore the fullest machining capability of these NTM processes, it is often required to operate them while setting their different controllable parameters at optimal levels. This paper aims to present a novel approach for selection of the optimal parametric mixes for different NTM processes in order to assist the concerned process engineers.

In this paper, design of experiments (DoE) and technique for order preference by similarity to ideal solution (TOPSIS) are combined to develop the corresponding meta-models for identifying the optimal parametric combinations of two NTM processes, i.e. electrical discharge machining (EDM) and wire electrical discharge machining (WEDM) processes with respect to the computed TOPSIS scores.

For EDM operation on Inconel 718 alloy, lower settings of open circuit voltage and pulse-on time and higher settings of peak current, duty factor and flushing pressure will simultaneously optimize all the six responses. On the other hand, for the WEDM process, the best machining performance can be expected to occur at a parametric combination of zinc-coated wire, lower settings of pulse-on time, wire feed rate and sensitivity and intermediate setting of pulse-off time.

As the development of these meta-models is based on the analysis of the experimental data, they are expected to be more practical, being immune to the introduction of additional parameters in the analysis. It is also observed that the derived optimal parametric settings would provide better values of the considered responses as compared to those already determined by past researchers.

This DoE–TOPSIS method-based approach can be applied to varieties of NTM as well as conventional machining processes to determine the optimal parametric combinations for having their improved machining performance.

Garment manufacturing is a traditional industry with global competition. The most critical part is streamline, as it generally involves a great number of operations. The purpose of this paper is to, based on the model of group technology (GT), sum up the methods of assembly line optimization to optimize the streamline, so that the machines of the workstation can perform the assigned tasks with a balanced loading.

In this paper, the methods of obtaining and optimizing data includes literature, research and optimization methods of basing on GT model. The main direction of literature has two aspects: Lean production theory and streamline assignment. Research mainly concludes three aspects: research place, research object and the research content. The method of time determination is averaging the testing values of repeated measurements. Optimization methods of basing on GT model mainly include combination of the same type of technologic processes in sequence, combination of independent branch process, the combination of mainstream and branch processes and offside combination of the same type of processes.

After optimization, in the utilization rate of equipment: hanging system ratio was increased from 22.95 to 62.12 percent, which greatly improved the utilization rate of enterprise equipment. In equipment layout: hanging equipment layout was turned linear type into “U” type, which realized the synchronization of production. GT model will be well applied in the garment production streamline. Compared with other enterprises, A company has large garment hanging system, which reflects the advanced, comprehensive, representative. Therefore, the paper applied optimization methods to trousers, production efficiency has been improved greatly, the utilization rate of equipment is promoted and reworking phenomenon is reduced greatly.

Through the optimization of the production process and equipment layout, the A company’s compiling efficiency has been greatly improved, but how can the system become computerized, accurately and intelligence, which has been an important direction of research now.

By optimizing, it is fully proved that applying GT to the streamline optimization is feasible. GT is an important branch of Lean production, summing up the optimization methods basing on the GT model to optimize the streamline not only enriches the relevant theory research, but also provides a theoretical basis for the practical production. GT model not only can be used in the shirt production process, as for other production processes, for example, trousers, skirts can also be widely applied, which realizes the theory application in the practical production.

The originality of this paper is that through the analysis of the model of GT, the paper sums up the methods of assembly line optimization to optimize the streamline. Although the model of GT is used widely in electronics, automobile and industry, it is relatively weak in the optimization of garment production line, there are not many literatures on practical application of group technology in the clothing. Besides, the paper is applied to practical production, which not only can improve production efficiency, but also make the theoretical research have basis and combine the theory and practical production.

Mergers and acquisitions occur frequently in organizations, but rarely achieve their desired financial and strategic objectives. Personal experience gained in more than 50 corporate combinations shows that many factors account for the dismal track record of mergers and acquisitions, including underestimating the multitude of integration issues and problems that arise as organizations come together and the pervasiveness and depth of human and cultural issues triggered in a combination. These dynamics have been found in combinations involving organizations of all sizes, in all industry sectors and across international boundaries. Reviews the human, organizational and cultural dynamics affecting mergers and acquisitions, and reports recent trends influencing interventions to enhance merger and acquisition success. Describes consulting approaches and methods required to minimize employee stress, management crisis and culture clash and to enhance the desired financial and strategic results of mergers and acquisitions.

Knowledge-intensive entrepreneurial firms succeed when they can better marshal their knowledge resources into productive advantages, necessitating entrepreneurial orientation (EO) and knowledge management (KM) processes of knowledge acquisition, application, conversion and protection. However, configurations of EO and KM processes are unaccounted for in extant theory, and the differences between the operating context of knowledge-intensive entrepreneurial firms are unclear. Therefore, this study investigates the configurational combination of EO and KM processes in two different contexts as native and immigrant entrepreneurial firms.

Drawing on the knowledge-based theory, the authors apply fuzzy-set qualitative comparative analysis (QCA) and necessity analysis of QCA (NCA) to data from Malaysian native (N = 185) and immigrant (N = 146) service-oriented entrepreneurial firms.

The results demonstrate that immigrant entrepreneurial firms’ performance relies on knowledge processes of knowledge acquisition and application to ensure intelligent effectuation of EO; but for native entrepreneurial firms, the critical knowledge processes for performance success are knowledge conversion and protection. The NCA suggests that EO is critical for both firms; however, conjunctional causations differ based on KM processes.

This study enriches the emerging knowledge-based theory of the entrepreneurial-oriented firm by advancing the theory and conversation by revealing how EO, KM processes and context link in which the profile of the EO–performance relationship is configurationally dependent. The study advances the knowledge-based theory of entrepreneurially-oriented firms to account for entrepreneurship in context.

The purpose of this study is to examine the influence of knowledge creation (KC) process on customer relations management (CRM) in Palestinian commercial banks, taking into consideration which factors of KC process support the CRM system.

The study uses a quantitative research design wherein questionnaires have been used to collect data from 345 respondents in the Palestinian banking sector. Research hypotheses have been tested using multiple regression analysis.

The findings unveil that socialisation and combination processes have a positive impact on CRM. In contrast, internalisation process negatively affects CRM system, but outsourcing knowledge does not significantly affect CRM.

Past studies empirically validated the success of CRM adaptation in the context of different industries. This study provides a new conceptual model which validates the influence of KC on CRM in the banking sector. It also affirms the integral role of KC in supporting CRM from an emerging country perspective like Palestine.

This study offers new insights into creating of knowledge by employees in supporting CRM. It will encourage future scholars to further explore the key dimensions of the KC process for a more detailed investigation at a workplace. This study suggests that banks’ directors and employees should behave in a social manner to support relationship with customers. This study also suggests facilitating knowledge from different resources in innovative ways, through encouraging creative thinking from experiences, using technology in sharing knowledge, focussing on appropriate training to resolve customers' problems and disseminating new knowledge among employees.

This study expands the body of knowledge on KC process in supporting CRM from an emerging country perspective. This study validates the influence of KC on CRM in the Palestinian banking sector. This sheds light on the integration of these two concepts.

This study extends the viewpoint of “fit as holistic configurations” to explore how to use knowledge management (KM) processes and knowledge management system (KMS) capabilities appropriately according to the tasks characteristics subunits perform in an aerospace manufacturer. In this regard, the aim is to develop four theoretical ideal profiles of KM processes (socialization, externalization, combination, and internalization) and KMS capabilities (codification capability and network capability) for organizational subunits based on their task characteristics: focused, process‐oriented tasks; focused, content‐oriented tasks; broad, process‐oriented tasks; and focused, content‐oriented tasks.

The empirical study was conducted at a knowledge intensive and engineering‐oriented aerospace company. Twelve functional subunits performing a variety of tasks were selected as the samples. The study employed qualitative and quantitative methods to understand the subunits' task attributes. The authors collected data from 12 subunits, and a total of 212 valid questionnaires were analyzed. PLS‐Graph was used to assess the relationships of the research model.

The empirical support for the argument that the fit among KM processes, KMS capabilities and task characteristics can improve KM performance. Results reveal that fit significantly affects knowledge satisfaction, knowledge quality and creativity for subunits performing focused, process‐oriented and broad, process‐oriented tasks.

The findings reflect the fact that individuals within organizational subunits should use the four KM processes of appropriate levels to generate new knowledge to accomplish their tasks.

The study uses a multidimensional and multi‐item approach to test the effect of factors on KM performance, and is the first to identify ideal profiles of KM process and KMS capability for different organizational subunits.

The purpose of this paper is to describe how top management teams' expertise in comprehensive and intuitive decision-making contributes to effective improvisational decision-making in times of crisis. Also, improvisational decision-making, as a means for balancing or transcending the dualities of comprehensive and intuitive decision processes, enables the three strategic decision-making processes to coexist and contribute to decision-quality when in crisis.

After providing a general overview of comprehensive, intuitive and improvisational decision-making and introducing paradox theory, this paper offers a conceptual model of the link between improvisational decision-making and decision quality in crisis situations. Three boundary conditions are discussed: expertise in comprehensive decision-making, expertise in intuitive decision-making and the paradoxical balanced combination of comprehensive and intuitive decision-making. Two brief cases are included to illustrate the theory.

Although comprehensive and intuitive decision-making are rooted in distinct information processing approaches with different cognitive demands and at times contradictory logics, they can be combined in unique ways when senior executives improvise decisions in crisis situations.

Particularly in the contexts of crises, it is critical for managers to understand the value of improvisational decision-making and the balanced combination of decision-making tools available to them in order to make rapid and quality decisions. Potential action research interventions are suggested.

This paper offers an integrated model of decision-making, encompassing comprehensive, intuitive and improvisational processes and highlights the combinatory and synergistic nature of these approaches in a crisis.

Research on best practices suffers from some fundamental problems. The problem addressed in the article is that authors tend to postulate, rather than show, the practices they address to be best – whether these practices do indeed produce best performance is often not investigated.

This article assumes that the best performing companies must be the ones deploying the best practices. In order to find out what are those practices, the highest performing companies in the 2002 International Manufacturing Strategy Survey database were identified, and the role 14 practices play in these companies was investigated.

Process focus, pull production, equipment productivity and environmental compatibility appear to qualify as best practices. Quality management and ICT may have been best practice previously, but lost that status. E‐business, new product development (NPD), supplier strategy and outsourcing are relatively new, cannot yet be qualified as, but may develop into, best practice. Four other practices do not produce any significant performance effects.

There are four limitations to the research: Incompleteness of the set of practices tested: lack of insight into the effects of interaction between practices and the way in and extent to which they were implemented; good explanatory but poor predictive power; and lack of contextuality.

Taking the position that best practice must be what best performing companies do, the paper is useful for managers using benchmarking to review the design and performance of their manufacturing system, and for scholars engaged or interested in best practice studies.