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In this chapter, six cases are presented, four from Poland and two from Hungary. The Polish cases are Partec Rockwool, PLM, Bulten Tools, and Vattenfall, while Svedala and Getinge belong to Hungary.

The cases have been described in different phases following the conceptual framework, developed in chapter six. All cases we present in three phases except Svedala where there are two phases. In the later case, neither the alliance nor the partners could be traced. Among the cases, level of performance varied. Getinge is the only case where the partners continued with the same alliance and the ownership structure remained unchanged. In Partec, the foreign partner acquired the local shares to establish a wholly owned subsidiary, and in Bulten Tool, the foreign partner became the major owner to have control over the company. Partec Rockwool and Vattenfall had been sold to other companies after amicable settlement between the partners.

The purpose of this paper is to explore intra-firm coordination in temporary organizations (TOs). Specifically, it identifies and explains how operational coordination evolves over time in a particular TO: the 2016 Olympic Games Organizing Committee.

This is an immersive case study based on qualitative analysis and longitudinal fieldwork, which allowed the observation of operational coordination in real time. The main sources of data are participant observation, semi-structured interviews, and internal documents of the TO.

The findings suggest that operational coordination in TOs dealing with multiple and decentralized operations takes place through the combination of both formal and informal coordination mechanisms. Further analysis indicates a contingency logic in using these mechanisms, shaped by the presence of specific coordination challenges in different phases of work. Three main aspects influencing coordination are explored. First, it is suggested that TOs are inherently “hybrid.” That is, they comprise enduring as well as temporary and centralized as well as decentralized elements. These elements change over time. Second, a formal transition phase is explored: “venueization” – a phase between planning and operation in which centralized structural elements and processes are translated to operational units. Third, since TOs present emergence and dynamism, and related challenges across various phases of work, coordination is arguably contingent on the phase of the project.

Although the findings are limited to a particular empirical context, this paper offers theoretically new insights concerning the hybrid nature of processes in TOs, the contingent use of complementary coordination mechanisms, and the importance of the venueization phase, and provides a basis for future research into operational coordination in TOs.

The findings can help practitioners understand and identify the challenges embedded in temporary contexts and develop coordination strategies accordingly.

This study explains how operational coordination takes place in TOs enabled by formal and informal mechanisms, which are contingently combined over time through particular coordination strategies.

The purpose of this paper is to provide a comprehensive work flow for the improvement of the Reverse Engineering (RE) process in producing non‐uniform rational B‐splines (NURBS) models from scanned point cloud data. This should become a reliable guide in the creation of desired 3D‐CAD models in order to improve efficiency of downstream operations and further to make decisions regarding quality control.

The paper deals with a detailed investigation of operations in achieving an object's accuracy in the data editing phase and data fitting phase that employs the use of a 3D scanner. A case example involving the ShapeGrabber® AI310 laser scanner was used in digitizing the physical object. Operations considered for investigation at the data editing phase include relaxation, decimation of triangles and sharpening of edges. Contour detection, construct patches, target patch count, grid construction and grid resolution are selected as the operations for investigation in the data fitting phase. Evaluation of the generated digitized models was carried out by performing tests which include 3D Comparisons and Geometric Dimensioning and Tolerance (GD & T) testing.

The process of data editing is considered to be extremely time consuming which requires a high degree of skill in order to carry out the data manipulation steps. For the purpose of investigation, an electrical socket cover was considered as the object for digitization. The study found some contributors to enhance the quality of the digital model that can be used in the first piece inspection. The results indicate that although the operations associated with the data fitting phase affect the overall quality of the digitized model; they are however, limited by whatever the quality achieved at the data editing phase.

The RE work flow described in this research will assist designers and practitioners in improving both the efficiency and effectiveness of design and manufacturing functions.

The data editing and fitting processes are time consuming due to various adjustments necessary in obtaining a NURBS model from the digitized data. Thus, the proposed RE work flow identified the steps to realize the desired CAD models from the point cloud data. Moreover, from this study, practitioners will get a concise overall understanding about which geometrical features need to be adjusted so that the required model can be achieved; instead of the need to develop this procedure by themselves through the process of trial and error.

The purpose of this paper is to present the prerequisites for a part-out-based spares provisioning (PBSP) programme during the phase-out of an aircraft fleet. Furthermore, associated key decision criteria are identified and a framework for the phase-out management process is presented.

Once a decision has been taken to phase-out an aircraft fleet, a number of routines for operations, maintenance and storage are affected and new tasks and functions must be introduced before initiating the actual parting-out process. A decision-making system and a management framework is needed to manage spares planning during the end-of-life phase to ensure availability at minimum cost and to ensure a manageable risk of backorders.

For PBSP programme during the phase-out of an aircraft fleet to succeed and be cost-effective, a number of linked processes, tasks and decisions are required, e.g., those included in the framework proposed in this paper (see Figure 3). A successful implementation of PBSP also requires that these processes and tasks are carried out in a timely manner and that the communications between the concerned parties are prompt, clear and direct. One experience from the studied case is that close and trustful contacts and cooperation between the operator and maintenance provider(s) will greatly facilitate the process.

Although the PBSP method is fairly commonly applied within both the military and the civilian sector, somewhat surprisingly very literature has been published on the subject. Indeed, remarkably little has been published on any aspects of maintenance during the end-of-life period.

This paper aims to deal with direct torque controller when the five-phase induction motor drive in faulty operation. Precisely, open-phase fault condition is contemplated. Also, the DTC is combined with a speed-adaptive variable-structure observer based on sliding mode observer.

Two novel features are presented. First, the concept of the virtual voltage vector is presented, which eliminates low-frequency harmonic currents and simplifies analysis. Second, speed information is introduced into the selection of the inverter states.

Direct torque control (DTC) is largely used in traditional three-phase drives as a backup to rotor-stator flux-oriented methods. The classic DTC strategy was primarily designed on the base of hysteresis controllers to control two independent variables (speed, torque and flux). Due to the additional degrees of freedom offered by multiphase machine, extensive works have been extended on the ensemble five-phase drives in healthy operation. In addition, the ability to continue the operation in faulty conditions is considering one of the main advantages of multiphase machines. One can find in the literature different approaches treating this subject. The applicability of DTC after the appearing of a fault has not been enclosed in the literature.

Theoretical development is presented in details followed by simulation results using Matlab/Simulink to analyze the performance of the drive, comparing with the behavior during healthy situation.

Where does one need to intervene in to be most effective? The purpose of this study is to rank areas of the resource system, according to how much of a change can be expected from interventions in an area, in relation to the problem of depleting resources.

Principles of structured analysis are used to model how society uses resources. From this model, nine intervention areas are defined. These intervention areas are ranked in terms of effectiveness, through the use of the analytic hierarchy process.

To be most effective, one must prioritize intervention areas as follows: material inputs to the operation phase; process inputs to the operation phase; products’ longevity; process inputs to the manufacturing phase; and material inputs to the manufacturing phase.

Most decisions are not made on the basis of rigorous analysis but by using heuristics (rules of thumb). The results of this study are expressed as rules of thumb. They can help decision makers prioritize what is most important, but without imposing new ways of working.

In the construction domain, heuristics that generalize the impact of actions (content), instead of intervention areas (context), currently seem to prevail. The heuristics of this study generalize the impact of intervention areas. Therefore, they provide an extra perspective for many decision makers. This extra perspective can help reduce mistakes that are typically made by oversimplifying matters.

Public‐private partnerships (PPPs) are being faced by risk threats, notwithstanding the fact that the PPP model has been structured in a way that the associated risks are shared by both the public and private sectors. Consequently, the sources of risk change over the PPP project phases. Thus, the purpose of this paper is to identify and assess the risk factors in PPP infrastructure project phases comprising development phase, construction phase, operation phase and project life cycle through an empirical approach.

The study adopted four different data-gathering approaches including literature review, desk review, brainstorming session and questionnaire survey. In order to capture a broad perception of stakeholders, the questionnaires were administered to three different stakeholder organizations to include public sector authorities (i.e. ministries, department and agencies), concessionaires and lenders/banks involved in different PPP infrastructure projects implementation in Nigeria. A total of 81 questionnaires were administered, out of which 63 were retrieved but after checking through the completed questionnaires, 60 questionnaires were found suitable for the analysis. Data collected were analyzed using descriptive statistics, mean score, Kruskal–Wallis test and the risk significance index in terms of severity and likelihood of occurrence conducted.

In total, 70 risk factors were identified with respect to PPP project phases and their relative importance was gauged. In addition, the analysis of total 70 risk factors in the development phase, construction phase, operation phase and project life cycle phase indicated that 51 risk factors are located in the yellow zone, which is considered as moderate and 19 risk factors are located in the red zone that are regarded as critical.

The identification of specific critical risk factors in each PPP project phase will provide a benchmark in developing risk management programs in developing countries.

These study findings would be useful for PPP stakeholders to focus their attention, priorities and leadership in managing these critical risk factors. Furthermore, the findings of this study are significant in providing an in-depth understanding of the current Nigeria’s PPP market environment, which is a true reflection of developing countries as a whole.

This paper aims to explore the potential capabilities of the application of computing features (CFs) in resolving the most common issues that adversely affect performance in architecture, engineering and construction (AEC) projects.

Through a comprehensive review of the literature, 10 most significant CFs were identified. Also, the 15 most prevalent issues in AEC projects (AECIs), for which computers can provide remedial solutions, were determined and categorized into three phases of design, construction and operation. Potential impacts of each CF on handling AECIs in each of the three stages were assessed based on experts’ perceptions.

CFs are ranked based on their potential on solving the identified AECIs. So too, the order of the most common AECIs is provided in terms of their disposition for being solved by CFs. In this regard, findings reveal that the most effective CF in addressing AECIs is “artificial intelligence” and the most solvable AECI by using CFs is “increased costs and poor budgeting.” Furthermore, the most appropriate CF to handle each AECI is specified, as a result of which, it is inferred CFs are more effective in handling operation-related issues, compared to design, construction phases.

The results can provide a profound insight into software/tool selection based on features that enable technological tools and programs to handle AECIs in the three major phases of projects. Moreover, technology providers and vendors are provided with a benchmark to supply products according to the demands of the AEC industry. The study provides a readily available point of reference for practitioners in selecting various CFs for handling common AECIs that affect their projects.

A large body of research is available on the evaluation of various computer-based technologies and tools. Nevertheless, little, if any, study exists that explores the potential of underlying CFs of these technologies in addressing endemic problems across various stages of AEC projects. This study is one of the first in its kind that shifts to exploring various CFs, as the main enablers of computer technologies, establish links between these CFs and common issues of projects and assesses the potential of various CFs in addressing common problems of construction projects.

To deal with the present situation and recover after the COVID-19 pandemic, construction firms are required to recognise the trends in construction supply chain management (CSCM) for the upcoming years and determine the appropriate practices towards the trends for the improvement of construction activities in terms of strategy, tactic and operations. This paper aims to recognise key trends in CSCM and uses these trends as strategic criteria for the evaluation and prioritisation of lean construction (LC) tools at different project phases including design and architectural engineering, planning and control, on-site construction and safety management.

The integrated analytic hierarchy process–Delphi method is used to collect and analyse the data from construction experts to evaluate the importance levels of the CSCM trends and recommend the appropriate tools for LC practices to improve project performances.

Seven key CSCM trends are identified: lean supply chain management (SCM), supply chain (SC) integration, SC standardisation, SC problem-solving, SC information-sharing, SC flexibility and SC sustainability. Based on these trends, a set of prioritised lean tools are suggested for LC practices, in which “virtual design construction” (VDC) and “last planner system” are considered as the central tools. These two LC practices can be integrated with other effective tools to support the strategic, tactical and operational targets in construction supply chain (CSC) projects.

This study gives the managerial implications by developing an application framework of LC practices for CSC projects. The framework promotes “VDC” as a strategic tool for the phase of design and architectural engineering and considers “last planner system” as the central LC practice for the phase of project planning and control. The framework also focuses on the improvement of efficiency in construction operations by taking into account the aspects of on-site collaboration, problem-solving, improvement and safety.

Up to date, there is still a lack of researches in classifying and prioritising the significant LC tools for each project phase to deal with CSC issues in both breadth and depth. Thus, this study is performed to provide construction managers with the awareness of CSCM trends on which they can focus to have strategic criteria for selecting LC practices to improve CSC performances.

This paper aims to further the understanding of planning and carrying out logistics operations in disaster relief.

Topical literature review of academic and practitioner journals.

Creates a framework distinguishing between actors, phases, and logistical processes of disaster relief. Drawing parallels of humanitarian logistics and business logistics, the paper discovers and describes the unique characteristics of humanitarian logistics while recognizing the need of humanitarian logistics to learn from business logistics.

The paper is conceptual in nature; empirical research is needed to support the framework. The framework sets a research agenda for academics.

Useful discussion of the unique characteristics of humanitarian logistics. The framework provides practitioners with a tool for planning and carrying out humanitarian logistics operations.

No overarching framework for humanitarian logistics exists in the logistics literature so far. The field of humanitarian logistics has so far received limited attention by logistics academics.