bluuebunny/crossref_metadata_2025_split huggingface dataset:
Utilizing the innovation potential of suppliers in construction projects
Authors: Sariola Rami 
Published: January 2018

Purpose
The manufacturers of construction components and materials are the suppliers in construction projects, and represent a significant portion of their value. However, their knowledge is not used sufficiently when it comes to construction innovation. This research paper focuses on the suppliers’ innovation potential in construction projects. The purpose of this paper is to identify practices for enhancing the contractor–supplier relationship and using the suppliers’ innovation potential in construction projects.

Design/methodology/approach
A qualitative exploratory research strategy is used in the context of construction projects. In total, 18 interviews were conducted with contractors to discover the experiences and practices related to the contractor–supplier relationship and construction innovation.

Findings
The contractors perceive that the suppliers have innovation potential, and that they are often a source of construction innovation. The findings reveal business- and project-level practices for enhancing the contractor–supplier relationship and for overcoming barriers that hinder the suppliers’ innovation potential.

Research limitations/implications
The research conducted for this paper is limited to the contractors’ perspectives based on construction projects in one country. Further research is encouraged to verify the success of identified practices and cover the perspectives of the suppliers, clients and designers.

Originality/value
Limited research and attention is directed toward the role of the suppliers in projects within the construction industry. This paper offers important information about the part that both the suppliers and the contractors play in construction innovation and its facilitation.
Nonlinear impedance boundary condition for 2D BEM
Authors: de Falco Carlo , Di Rienzo Luca , Ida Nathan , Yuferev Sergey 
Published: January 2018

PurposeThe purpose of this paper is the derivation and efficient implementation of surface impedance boundary conditions (SIBCs) for nonlinear magnetic conductors.

Design/methodology/approachAn approach based on perturbation theory is proposed, which expands to nonlinear problems the methods already developed by the authors for linear problems. Differently from the linear case, for which the analytical solution of the diffusion equation in the semi-infinite space for the magnetic field is available, in the nonlinear case the corresponding nonlinear diffusion equation must be solved numerically. To this aim, a suitable smooth map is defined to reduce the semi-infinite computational domain to a finite one; then the diffusion equation is solved by a Galerkin method relying on basis functions constructed via the push-forward of a Lagrangian polynomial basis whose degrees of freedom are collocated at Gauss–Lobatto nodes. The use of such basis in connection with a suitable under-integration naturally leads to mass-lumping without impacting the order of the method. The solution of the diffusion equation is coupled with a boundary element method formulation for the case of parallel magnetic conductors in terms of E and B fields.

FindingsThe results are validated by comparison with full nonlinear finite element method simulations showing very good accordance at a much lower computational cost.

Research limitations/implicationsLimitations of the method are those arising from perturbation theory: the introduced small parameter must be much less than one. This implies that the penetration depth of the magnetic field into the magnetic and conductive media must be much smaller than the characteristic size of the conductor.

Originality/valueThe efficient implementation of a nonlinear SIBC based on a perturbation approach is proposed for an electric and magnetic field formulation of the two-dimensional problem of current driven parallel solid conductors.
Modified MPC based grid-connected five-level inverter for photovoltaic applications
Authors: Maalandish Mohammad , Hosseini Seyed Hossein , Sabahi Mehran , Asgharian Pouyan 
Published: January 2018

PurposeThe main purpose of this paper is to select appropriate voltage vectors in the switching techniques and, by selecting the proper voltage vectors, be able to achieve a DC link with the same outputs and a symmetric multi-level inverter.

Design/methodology/approachThe proposed structure, a two-stage DC–AC symmetric multi-level inverter with modified Model Predictive Control (MMPC) method, is presented for Photovoltaic (PV) applications. The voltage of DC-link capacitors of the boost converter is controlled by MMPC control method to select appropriate switching vectors for the multi-level inverter. The proposed structure is provided for single-phase power system, which increases 65 V input voltage to 220 V/50 Hz output voltage, with 400 V DC link. Simulation results of proposed structure with MMPC method are carried out by PSCAD/EMTDC software.

FindingsBased on the proposed structure and control method, total harmonic distortion (THD) reduces, which leads to lower power losses and higher circuit reliability. In addition, reducing the number of active switches in current path causes to lower voltage stress on the switches, lower PV leakage current and higher overall efficiency.

Originality/valueIn the proposed structure, a new control method is presented that can make a symmetric five-level voltage with lower THD by selecting proper switching for PV applications.
Defect localization and characterization in eddy current nondestructive testing by change detection and global optimization
Authors: Kermadi Majda , Moussaoui Saïd , Taieb Brahimi Abdelhalim , Feliachi Mouloud 
Published: January 2018

PurposeThis paper aims to present a data-processing methodology combining kernel change detection (KCD) and efficient global optimization algorithms for solving inverse problem in eddy current non-destructive testing. The main purpose is to reduce the computation cost of eddy current data inversion, which is essentially because of the heavy forward modelling with finite element method and the non-linearity of the parameter estimation problem.

Design/methodology/approachThe KCD algorithm is adapted and applied to detect damaged parts in an inspected conductive tube using probe impedance signal. The localization step allows in reducing the number of measurement data that will be processed for estimating the flaw characteristics using a global optimization algorithm (efficient global optimization). Actually, the minimized objective function is calculated from data related to defect detection indexes provided by KCD.

FindingsSimulation results show the efficiency of the proposed methodology in terms of defect detection and localization; a significant reduction of computing time is obtained in the step of defect characterization.

Originality/valueThis study is the first of its kind that combines a change detection method (KCD) with a global optimization algorithm (efficient global optimization) for defect detection and characterization. To show that such approach allows to reduce the numerical cost of ECT data inversion.
Event triggered non-inverting chopper fed networked DC motor speed synchronization
Authors: Masroor Suhaib , Peng Chen 
Published: January 2018

PurposeThis paper aims to provide a new approach to address the problem of reaching the synchronous speed in the network connected multiple motors.

Design/methodology/approachPractically, all the control approaches require continuous monitoring of the system thereby consuming extra energy. The method proposed in this paper uses an event-based approach with the multi-agent system (MAS) consensus control alongside with linear quadratic regulator control, thus saving a larger amount of energy. The proposed system is developed by using non-inverting buck boost chopper to provide necessary electrical power for the direct current motor, hence creating a single agent of bigger MAS with identical dynamics. The system stability is formulated by using Lyapunov stability theory. The proposed system is simulated via MATLAB.

FindingsThe acquired simulated results validate that the proposed methodology and the multi-motor system worked successfully, thereby achieving common speed, i.e. consensus. The proposed system also validates the energy-saving concept.

Practical implicationsPresently, the multiple motor synchronous speed system found application in paper-making machines, textile printing machines, offset printing, etc. The proposed study will contribute greatly to the existing methodologies and overcome their deficiencies by making the system more flexible and error-free due to the presence of network connectivity.

Originality/valueThe system is simulated to verify theoretical concepts.
Optimal operation of building microgrids – comparison with mixed-integer linear and continuous non-linear programming approaches
Authors: Reinbold Vincent , Dinh Van-Binh , Tenfen Daniel , Delinchant Benoit , Saelens Dirk 
Published: January 2018

PurposeThis paper aims to present two mathematical models to solve the Energy Management problem of a building microgrid (MG). In particular, it proposes a deterministic mixed integer linear programming (MILP) and non-linear programming (NLP) formulations. This paper focuses on the modelling process and the optimization performances for both approaches regarding optimal operation of near-zero energy buildings connected to an electric MG with a 24-h time horizon.

Design/methodology/approachA general architecture of a MG is detailed, involving energy storage systems, distributed generation and a thermal reduced model of the grid-connected building. A continuous non-linear model is detailed along with linearizations for the mixed-integer liner formulation. Multi-physic, non-linear and non-convex phenomena are detailed, such as ventilation and air quality models.

FindingsResults show that both approaches are relevant for solving the energy management problem of the building MG.

Originality/valueIntroduction and modelling of the thermal loads within the MG. The resulting linear program handles the mutli-objective trade-off between discomfort and the cost of use taking into account air quality criterion. Linearization and modelling of the ventilation system behaviour, which is generally non-linear and non-convex equality constraints, involving air quality model, heat transfer and ventilation power. Comparison of both MILP and NLP methods on a general use case provides a solution that can be interpreted for implementation.
Analytical and numerical models of the magnetoacoustic tomography with magnetic induction
Authors: Ziolkowski Marcin , Gratkowski Stanislaw , Zywica Adam Ryszard 
Published: January 2018

PurposeElectrical properties of biological tissues are known to be sensitive to physiological and pathological conditions of living organisms. For instance, human breast cancer or liver tumor cells have a significantly higher electrical conductivity than a healthy tissue. The paper aims to the new recently developed magnetoacoustic tomography with magnetic induction (MAT-MI) which can be deployed for electrical conductivity imaging of low-conductivity objects. Solving a test problem by using an analytical method is a useful exercise to check the validity of the more complex numerical finite element models. Such test problems are discussed in Chapter 3. The detailed analysis of an electromagnetic induction in low-conductivity objects is very important for the next steps in the tomographic process of image reconstruction. Finally, the image reconstruction examples for object’s complex shapes’ have been analyzed. The Lorentz force divergence reconstruction has been achieved with the help of time reversal algorithm.

Design/methodology/approachIn given arrangements the magnetic field and eddy current vectors satisfy the Maxwell partial differential equations. Applying the separation of variables method analytical solutions are obtained for an infinitely long conducting cylindrical segment in transient magnetic field. A special case for such a configuration is an infinitely long cylinder with longitudinal crack. The analytical solutions are compared with those obtained by using numerical procedures. For complex shapes of the object, the MAT-MI images have been calculated with the help of the finite element method and time reversal algorithm.

FindingsThe finite element model developed for a MAT-MI forward problem has been validated by analytical formulas. Based on such a confirmation, the MAT-MI complex model has been defined and solved. The conditions allowing successful MAT-MI image reconstruction have been provided taking into account different conductivity distribution. For given object’s parameters, the minimum number of measuring points allowing successful reconstruction has been determined.

Originality/valueA simple test example has been proposed for MAT-MI forward problem. Analytical closed-form solutions have been used to check the validity of the made in-house finite element software. More complex forward and inverse problems have been solved using the software.
Implications of the ageing population for the food demand chain in Germany
Authors: Oeser Gerald , Aygün Tanju , Balan Claudia-Livia , Corsten Thomas , Dechêne Christian , Ibald Rolf , Paffrath Rainer , Schuckel Marcus Thomas 
Published: January 2018

Purpose
The purpose of this paper is to gain a general holistic view of implications of the growing and highly relevant customer segment of elder consumers for the food demand chain (food retail, production, logistics, and business informatics) in Germany.

Design/methodology/approach
This paper takes a holistic demand-chain approach that is based on interviews with 36 German food consumers aged 65-87 and with 50 experts from manufacturing, trade, logistics, and business informatics as well as a survey with 1,288 consumers above 64 years of age and 682 consumers below 65 years of age.

Findings
Physical, statistical, psychological, social, and behavioural characteristics of elder German consumers may influence location, services, and layout of food retail, food variety, sizes, packaging, and labelling, food production, transportation, and storage volumes and capacities, as well as facility location, route, and inventory planning. The social function of grocery shopping especially for single consumers, intergenerational products and services, home-delivery services especially to rural areas, as well as decentralisation and regionalisation are expected to gain importance. Logistics and industry 4.0 can facilitate the efficient and effective supply of food.

Originality/value
This research is the first to investigate the needs and wants of elder German food consumers and their implications for the German food demand chain in a more holistic demand-chain approach.
Fuzzy DEMATEL-based green supply chain management performance
Authors: Kazancoglu Yigit , Kazancoglu Ipek , Sagnak Muhittin 
Published: January 2018

Purpose
Performance assessment of green supply chain management (GSCM) requires a systematic approach because of its interdisciplinary and multi-objective nature. The purpose of this paper is to propose a model to the performance assessment of GSCM.

Design/methodology/approach
A model is proposed, grounded on a literature review on GSCM performance, after which the causal relationships and prioritization of the sub-criteria are analyzed by fuzzy Decision Making Trial and Evaluation Laboratory technique in a company operating in the cement industry.

Findings
An integrated holistic performance assessment model incorporating specifically six criteria and 21 sub-criteria is applied, which represents causal relationships and prioritization of sub-criteria.

Research limitations/implications
The proposed model can be generalized, because an integrative framework can be used in future empirical studies to analyze performance of GSCM. However, the causal relationships and prioritization among sub-criteria are analyzed based on the needs and capabilities of the individual company; therefore, the causal relationships found are company specific.

Practical implications
The proposed model can be hired and implemented by companies striving for GSCM. This model allows companies to assess their current GSCM performance, analyze causal relationships, and prioritize sub-criteria.

Originality/value
Several studies have analyzed performance assessment in green supply chains; however, to the best of the authors’ knowledge, no study has taken an approach to performance assessment in GSCM that combines environmental, economics/financial, logistics, operational, organizational and marketing in the same framework. In addition, the cause-effect relationships identified will be the base for performance improvement.
Profit optimization of sustainable low-to-medium temperature waste heat recovering management
Authors: Lin Chun-Wei R. , Parng Yuh-Jiuan Melody , Chen Yu-Lin 
Published: January 2018

Purpose
Responding to natural resource depletion and carbon dioxide (CO2) emission problems, and also the stricter government’s energy regulations, the purpose of this paper is to develop a sustainable waste heat recovery optimal-profit-oriented management model especially targeting on the easily forgotten low- and medium-temperature waste heat in the industry. In the paper, a system is constructed to facilitate converting the low- and medium-grade waste heat in factories into electricity, and yields optimal profit.

Design/methodology/approach
This paper integrates an efficient Organic Rankine Cycle (ORC) system from both sustainable energy reservation and cost effectiveness approaches with an optimization model that adopts particle swarm optimization (PSO) algorithm to determine proper installation locations and feasible generator sets. The system is constructed to facilitate converting the low- and medium-grade waste heat in factories into electricity, and yields optimal profit. The model considers the environmental factors: temperature, heat amount, equipment configuration of the number of ORC sets, and detailed investment cost constraints.

Findings
The results show that annual investment return rate, annual increase in electricity, power generation efficiency, and annual CO2 emission reduction are all highly improved, and investment recovery period is shortened. Also, the larger scale of the waste heat emission, the better the performance is achieved. Finally, the study also completes a sensitivity test under dynamic conditions of electricity price, generator sales price and factory budget constraints, and the results are consistently robust. More valuably, this paper demonstrates applications on two different manufacturing industries with various waste heat emission scales to prove the accountability.

Originality/value
The main contributions are in three aspects. First, it proves that applying PSO to a nonlinear mathematical model can help determine the optimal number and style configuration of generators for waste heat sources. Second, different from the prior research works focusing on power generation, this paper also deliberates the cost factors, cost of generators, costs of numerous peripheral components and future maintenance costs to ensure the factories not conflict with the financial limitations. Third, it is not only successfully applied in two industries with different scales, but also robust with various economic tests, electricity price change, generator sales price change, and investment budget adjustments.
Modeling crowdfunders’ behavioral intention to adopt the crowdfunding-waqf model (CWM) in Malaysia
Authors: Mohd Thas Thaker Mohamed Asmy , Mohd Thas Thaker Hassanudin , Allah Pitchay Anwar 
Published: January 2018

PurposeWaqf institutions in many Muslim countries including in Malaysia are facing liquidity constraints in developing waqf land. This paper aims to offer a sustainable model of source of financing for waqf institutions to meet their liquidity constraint in developing waqf land, which is known as the crowdfunding–waqf model (CWM). Later, CWM validated its acceptance in the field among the crowdfunders by adopting the theory of technology acceptance model (TAM).Design/methodology/approachThe primary data are collected from the survey administered to donors or crowdfunders in Selangor, Penang, Johor and Pahang. The total number of respondents aren= 1,000. The analysis is conducted using structural equation modeling (SEM).FindingsBased on findings, both the perceived usefulness and perceived easy to use of CWM are found to have a positive impact on the behavioral intention of crowdfunders or donors in assisting waqf institutions to develop waqf land in Malaysia. Furthermore, perceived easy to use has a positive relationship and direct effect on perceived usefulness of crowdfunders to use the CWM.Research limitations/implicationsThere are some limitations of the current study. The sample size and area of study become the obvious limitations. Thus, there is a need for caution in the interpretation of the results, and the conclusion cannot be as generalized. Besides, the use of current factors might limit the ability to explore other potentially important determinants of the crowdfunders’ behavioral intention on using CWM. Thus, future research can be conducted by incorporating new factors and provide new insights for optimizing CWM. Other potential moderator variables should be included into the research model in order to obtain more robust results.Practical implicationsThe findings of this paper will provide a new avenue for waqf institutions to raise funds for developing waqf land, particularly in Malaysia. The present study also has implications for the government and policymakers. Through CWM, it enables to reduce the expenses of the government for the development of waqf land. Indeed, CWM could be applied in other Muslim countries that are facing liquidity constraint in developing waqf land.Originality/valueThis paper offers an additional literature on waqf and crowdfunding, especially in the Malaysian context. The paper proposes a viable alternative model for waqf institutions as a source of financing by using crowdfunding.
Collaboration and patient safety at an emergency department – a qualitative case study
Authors: Pedersen Anna Helene Meldgaard , Rasmussen Kurt , Grytnes Regine , Nielsen Kent Jacob 
Published: January 2018

Purpose
The purpose of this paper is to examine how conflicts about collaboration between staff at different departments arose during the establishment of a new emergency department and how these conflicts affected the daily work and ultimately patient safety at the emergency department.

Design/methodology/approach
This qualitative single case study draws on qualitative semi-structured interviews and participant observation. The theoretical concepts “availability” and “receptiveness” as antecedents for collaboration will be applied in the analysis.

Findings
Close collaboration between departments was an essential precondition for the functioning of the new emergency department. The study shows how a lack of antecedents for collaboration affected the working relation and communication between employees and departments, which spurred negative feelings and reproduced conflicts. This situation was seen as a potential threat for the safety of the emergency patients.

Research limitations/implications
This study presents a single case study, at a specific point in time, and should be used as an illustrative example of how contextual and situational factors affect the working environment and through that patient safety.

Originality/value
Few studies provide an in-depth investigation of what actually takes place when collaboration between professional groups goes wrong and escalates, and how problems in collaboration may affect patient safety.