Abstract: This paper reviews the model-based qualitative and
quantitative Operations Management research in the context of
Construction Supply Chain Management (CSCM). Construction
industry has been traditionally blamed for low productivity, cost and
time overruns, waste, high fragmentation and adversarial
relationships. The construction industry has been slower than other
industries to employ the Supply Chain Management (SCM) concept
and develop models that support the decision-making and planning.
However the last decade there is a distinct shift from a project-based
to a supply-based approach of construction management. CSCM
comes up as a new promising management tool of construction
operations and improves the performance of construction projects in
terms of cost, time and quality. Modeling the Construction Supply
Chain (CSC) offers the means to reap the benefits of SCM, make
informed decisions and gain competitive advantage. Different
modeling approaches and methodologies have been applied in the
multi-disciplinary and heterogeneous research field of CSCM. The
literature review reveals that a considerable percentage of the CSC
modeling research accommodates conceptual or process models
which present general management frameworks and do not relate to
acknowledged soft Operations Research methods. We particularly
focus on the model-based quantitative research and categorize the
CSCM models depending on their scope, objectives, modeling
approach, solution methods and software used. Although over the last
few years there has been clearly an increase of research papers on
quantitative CSC models, we identify that the relevant literature is
very fragmented with limited applications of simulation,
mathematical programming and simulation-based optimization. Most
applications are project-specific or study only parts of the supply
system. Thus, some complex interdependencies within construction
are neglected and the implementation of the integrated supply chain
management is hindered. We conclude this paper by giving future
research directions and emphasizing the need to develop optimization
models for integrated CSCM. We stress that CSC modeling needs a
multi-dimensional, system-wide and long-term perspective. Finally,
prior applications of SCM to other industries have to be taken into
account in order to model CSCs, but not without translating the
generic concepts to the context of construction industry.
Abstract: In recent years, there has been a decline in physical
activity among adults. Motivation has been shown to be a crucial
factor in maintaining physical activity. The purpose of this study was
to whether PA motives measured by the Physical Activity and
Leisure Motivation Scale PALMS predicted the actual amount of PA
at a later time to provide evidence for the construct validity of the
PALMS. A quantitative, cross-sectional descriptive research design
was employed. The Demographic Form, PALMS, and International
Physical Activity Questionnaire Short form (IPAQ-S) questionnaires
were used to assess motives and amount for physical activity in
adults on two occasions. A sample of 489 male undergraduate
students aged 18 to 25 years (mean ±SD; 22.30±8.13 years) took part
in the study. Participants were divided into three types of activities,
namely exercise, racquet sport, and team sports and female
participants only took part in one type of activity, namely team
sports. After 14 weeks, all 489 undergraduate students who had filled
in the initial questionnaire (Occasion 1) received the questionnaire
via email (Occasion 2). Of the 489 students, 378 males emailed back
the completed questionnaire. The results showed that not only were
pertinent sub-scales of PALMS positively related to amount of
physical activity, but separate regression analyses showed the
positive predictive effect of PALMS motives for amount of physical
activity for each type of physical activity among participants. This
study supported the construct validity of the PALMS by showing that
the motives measured by PALMS did predict amount of PA. This
information can be obtained to match people with specific sport or
activity which in turn could potentially promote longer adherence to
the specific activity.
Abstract: Model transformation, as a pivotal aspect of Modeldriven
engineering, attracts more and more attentions both from
researchers and practitioners. Many domains (enterprise engineering,
software engineering, knowledge engineering, etc.) use model
transformation principles and practices to serve to their domain
specific problems; furthermore, model transformation could also be
used to fulfill the gap between different domains: by sharing and
exchanging knowledge. Since model transformation has been widely
used, there comes new requirement on it: effectively and efficiently
define the transformation process and reduce manual effort that
involved in. This paper presents an automatic model transformation
methodology based on semantic and syntactic comparisons, and
focuses particularly on granularity issue that existed in transformation
process. Comparing to the traditional model transformation
methodologies, this methodology serves to a general purpose: crossdomain
methodology. Semantic and syntactic checking
measurements are combined into a refined transformation process,
which solves the granularity issue. Moreover, semantic and syntactic
comparisons are supported by software tool; manual effort is replaced
in this way.
Abstract: This paper presents an approach for the classification of
an unstructured format description for identification of file formats.
The main contribution of this work is the employment of data mining
techniques to support file format selection with just the unstructured
text description that comprises the most important format features for
a particular organisation. Subsequently, the file format indentification
method employs file format classifier and associated configurations to
support digital preservation experts with an estimation of required file
format. Our goal is to make use of a format specification knowledge
base aggregated from a different Web sources in order to select file
format for a particular institution. Using the naive Bayes method,
the decision support system recommends to an expert, the file format
for his institution. The proposed methods facilitate the selection of
file format and the quality of a digital preservation process. The
presented approach is meant to facilitate decision making for the
preservation of digital content in libraries and archives using domain
expert knowledge and specifications of file formats. To facilitate
decision-making, the aggregated information about the file formats is
presented as a file format vocabulary that comprises most common
terms that are characteristic for all researched formats. The goal is to
suggest a particular file format based on this vocabulary for analysis
by an expert. The sample file format calculation and the calculation
results including probabilities are presented in the evaluation section.
Abstract: As technology-based service industries grow
drastically worldwide; companies are recognizing the importance of
market preoccupancy and have made an effort to capture a large
market to gain the upper hand. To this end, a focus on patents can be
used to determine the properties of a technology, as well as to capture
advantages in technical skills, in comparison with the firm’s
competitors. However, technology-based services largely depend not
only on their technological value but also their economic value, due
to the recognized worth that is passed to a plurality of users. Thus, it
is important to determine whether there are any competitors in the
target areas and what services they provide in any field. Despite this
importance, little effort has been made to systematically benchmark
competitors in order to identify business opportunities. Thus, this
study aims to not only identify each position of technology-centered
service companies in complex market dynamics, but also to discover
new business opportunities. For this, we try to consider both
technology and market environments simultaneously by utilizing
patent data as a representative proxy for technology and trademark
dates as an index for a firm’s target goods and services. Theoretically,
this is one of the earliest attempts to combine patent data and
trademark data to analyze corporate strategies. In practice, the
research results are expected to be used as a decision criterion to
diagnose the economic value that companies can obtain by entering
the market, as well as the technological value to be passed onto their
customers. Thus, the proposed approach can be useful to support
effective technology and business strategies in a firm.
Abstract: The venture capital becomes more and more advanced
and effective source of the innovation project financing, connected
with a high-risk level. In the developed countries, it plays a key role
in transforming innovation projects into successful businesses and
creating the prosperity of the modern economy. In Russia, there are
many necessary preconditions for creation of the effective venture
investment system: the network of the public institutes for innovation
financing operates; there is a significant number of the small and
medium-sized enterprises, capable to sell production with good
market potential. However, the current system does not confirm the
necessary level of efficiency in practice that can be substantially
explained by the absence of the accurate plan of action to form the
national venture model and by the lack of experience of successful
venture deals with profitable exits in Russian economy. This paper
studies the influence of various factors on the venture industry
development by the example of the IT-sector in Russia. The choice of
the sector is based on the fact, that this segment is the main driver of
the venture capital market growth in Russia, and the necessary set of
data exists. The size of investment of the second round is used as the
dependent variable. To analyse the influence of the previous round,
such determinant as the volume of the previous (first) round
investments is used. There is also used a dummy variable in
regression to examine that the participation of an investor with high
reputation and experience in the previous round can influence the size
of the next investment round. The regression analysis of short-term
interrelations between studied variables reveals prevailing influence
of the volume of the first round investments on the venture
investments volume of the second round. The most important
determinant of the value of the second-round investment is the value
of first–round investment, so it means that the most competitive on
the Russian market are the start-up teams that can attract more money
on the start, and the target market growth is not the factor of crucial
importance. This supports the point of view that VC in Russia is
driven by endogenous factors and not by exogenous ones that are
based on global market growth.
Abstract: The 3D printing is a combination of digital technology, material science, intelligent manufacturing and control of opto-mechatronics systems. It is called the third industrial revolution from the view of the Economist Journal. A color 3D printing machine may provide the necessary support for high value-added industrial and commercial design, architectural design, personal boutique, and 3D artist’s creation. The main goal of this paper is to develop photo-curable color 3D manufacturing technology and system implementation. The key technologies include (1) Photo-curable color 3D additive manufacturing processes development and materials research (2) Piezo type ink-jet head control and Opto-mechatronics integration technique of the photo-curable color 3D laminated manufacturing system. The proposed system is integrated with single Piezo type ink-jet head with two individual channels for two primary UV light curable color resins which can provide for future colorful 3D printing solutions. The main research results are 16 grey levels and grey resolution of 75 dpi.
Abstract: Presently a significant portion of the Earth's
population does not have access to healthy food. Either because they
cannot afford it or because they do not know which one are they. The
aim of the VII th Framework Chance project (Nr. 266331) supported
by the European Union has been to develop relatively cheap food
with favourable nutritional value and it should have acceptable
quality for consumers. As one task of the project we manufactured
bread products as a basic food. We examined the enrichment of bread
products with four kinds of bran, with a special milling product of
grain industry (aleurone-rich flour) and with a soy-based sprouted
additive. The applied concentration of the six mentioned additives
has been optimized and the physical properties of the bread products
were monitored. The weight/density of the enriched breads increased
a bit, however the volume and height decreased slightly compared to
the corresponding data of the control bread. The optimized
composition of the final product is favourably affected by these
additives having highly preferred composition from nutritional point
of view.
Abstract: A dip-coating process has been used to form an
asymmetric silica membrane with improved membrane performance
and reproducibility. First, we deposited repeatedly silica on top of a
commercial alumina membrane support to improve its structural
make up. The membrane is further processed under clean room
conditions to avoid dust impurity and subsequent drying in an oven
for high thermal, chemical and physical stability. The resulting
asymmetric membrane exhibits a gradual change in the membrane
layer thickness. Compared to the support, the dual-layer process
improves the gas flow rates. For the scientific applications for natural
gas purification, CO2, CH4 and H2 gas flow rates were. In addition,
the membrane selectively separated hydrogen.
Abstract: The present study was aimed to examine the structure
of children’s adaptation during school transition and to identify a
commonality and dissimilarity at the elementary and junior high
school. 1,983 students in the 6th grade and 2,051 students in the 7th
grade were extracted by stratified two-stage random sampling and
completed the ASSESS that evaluated the school adaptation from the
view point of ‘general satisfaction’, ‘teachers’ support’, ‘friends’
support’, ‘anti-bullying relationship’, ‘prosocial skills’, and ‘academic
adaptation’. The 7th graders tend to be worse adaptation than the 6th
graders. A structural equation modeling showed the goodness of fit for
each grades. Both models were very similar but the 7th graders’ model
showed a lower coefficient at the pass from ‘teachers’ support’ to
‘friends’ support’. The role of ‘teachers’ support’ was decreased to
keep a good relation in junior high school. We also discussed how we
provide a continuous assistance for prevention of the 7th graders’ gap.
Abstract: The Economic Lot Scheduling Problem (ELSP) is a
valuable mathematical model that can support decision-makers to
make scheduling decisions. The basic period approach is effective for
solving the ELSP. The assumption for applying the basic period
approach is that a product must use its maximum production rate to be
produced. However, a product can lower its production rate to reduce
the average total cost when a facility has extra idle time. The past
researches discussed how a product adjusts its production rate under
the common cycle approach. To the best of our knowledge, no studies
have addressed how a product lowers its production rate under the
basic period approach. This research is the first paper to discuss this
topic. The research develops a simple fixed rate approach that adjusts
the production rate of a product under the basic period approach to
solve the ELSP. Our numerical example shows our approach can find a
better solution than the traditional basic period approach. Our
mathematical model that applies the fixed rate approach under the
basic period approach can serve as a reference for other related
researches.
Abstract: Total Quality Management (TQM) is a managerial
approach that improves the competitiveness of the industry,
meanwhile Information technology (IT) was introduced with TQM
for handling the technical issues which is supported by quality
experts for fulfilling the customers’ requirement. Present paper aims
to utilise AHP (Analytic Hierarchy Process) methodology to
priorities and rank the hierarchy levels of TQM enablers and IT
resource together for its successful implementation in the Information
and Communication Technology (ICT) industry. A total of 17 TQM
enablers (nine) and IT resources (eight) were identified and
partitioned into 3 categories and were prioritised by AHP approach.
The finding indicates that the 17 sub-criteria can be grouped into
three main categories namely organizing, tools and techniques, and
culture and people. Further, out of 17 sub-criteria, three sub-criteria:
top management commitment and support, total employee
involvement, and continuous improvement got highest priority
whereas three sub-criteria such as structural equation modelling,
culture change, and customer satisfaction got lowest priority. The
result suggests a hierarchy model for ICT industry to prioritise the
enablers and resources as well as to improve the TQM and IT
performance in the ICT industry. This paper has some managerial
implication which suggests the managers of ICT industry to
implement TQM and IT together in their organizations to get
maximum benefits and how to utilize available resources. At the end,
conclusions, limitation, future scope of the study are presented.
Abstract: The 5th generation of mobile networks is term used in
various research papers and projects to identify the next major phase
of mobile telecommunications standards. 5G wireless networks will
support higher peak data rate, lower latency and provide best
connections with QoS guarantees.
In this article, we discuss various promising technologies for 5G
wireless communication systems, such as IPv6 support, World Wide
Wireless Web (WWWW), Dynamic Adhoc Wireless Networks
(DAWN), BEAM DIVISION MULTIPLE ACCESS (BDMA), Cloud
Computing, cognitive radio technology and FBMC/OQAM.
This paper is organized as follows: First, we will give introduction
to 5G systems, present some goals and requirements of 5G. In the
next, basic differences between 4G and 5G are given, after we talk
about key technology innovations of 5G systems and finally we will
conclude in last Section.
Abstract: The substantial development of the construction
industry has forced the cement industry, its major support, to focus
on achieving maximum productivity to meet the growing demand for
this material. This means that the reliability of a cement production
system needs to be at the highest level that can be achieved by good
maintenance. This paper studies the extent to which the
implementation of RCM is needed as a strategy for increasing the
reliability of the production systems component can be increased,
thus ensuring continuous productivity. In a case study of four Libyan
cement factories, 80 employees were surveyed and 12 top and middle
managers interviewed. It is evident that these factories usually
breakdown more often than once per month which has led to a
decline in productivity. In many times they cannot achieve the
minimum level of production amount. This has resulted from the
poor reliability of their production systems as a result of poor or
insufficient maintenance. It has been found that most of the factories’
employees misunderstand maintenance and its importance. The main
cause of this problem is the lack of qualified and trained staff, but in
addition it has been found that most employees are not found to be
motivated as a result of a lack of management support and interest. In
response to these findings, it has been suggested that the RCM
strategy should be implemented in the four factories. The results
show the importance of the development of maintenance strategies
through the implementation of RCM in these factories. The purpose
of it would be to overcome the problems that could secure the
reliability of the production systems. This study could be a useful
source of information for academic researchers and the industrial
organizations which are still experiencing problems in maintenance
practices.
Abstract: Masonry infill walls are inevitable in the selfsupporting
structures, but their contribution in the resistance to
earthquake loads is generally neglected in the structural analyses. The
principal aim of this work through a numerical study of masonry
infill walls behavior in structures subjected to horizontal load is to
propose by finite elements numerical modeling, a more reliable
approach, faster and close to reality. In this study, 3D Finite Element
Analysis was developed to study the behavior of masonry infill walls
in structures subjected to horizontal load; the finite element software
being used was ABAQUS, it is observed that more rigidity of the
masonry filling is significant, more the structure is rigid, we can so
conclude that the filling brings an additional rigidity to the structure
not to be neglected; it is also observed that when the framework is
subjected to horizontal loads, the framework separates from the
filling on the level of the tended diagonal.
Abstract: Some plants of genus Schinus have been used in the
folk medicine as topical antiseptic, digestive, purgative, diuretic,
analgesic or antidepressant, and also for respiratory and urinary
infections. Chemical composition of essential oils of S. molle and S.
terebinthifolius had been evaluated and presented high variability
according with the part of the plant studied and with the geographic
and climatic regions. The pharmacological properties, namely
antimicrobial, anti-tumoural and anti-inflammatory activities are
conditioned by chemical composition of essential oils. Taking into
account the difficulty to infer the pharmacological properties of
Schinus essential oils without hard experimental approach, this work
will focus on the development of a decision support system, in terms
of its knowledge representation and reasoning procedures, under a
formal framework based on Logic Programming, complemented with
an approach to computing centered on Artificial Neural Networks
and the respective Degree-of-Confidence that one has on such an
occurrence.
Abstract: The rationale behind this study is considering
combating and preventing the phenomenon of trafficking in human
beings from a multidisciplinary perspective that involves many layers
of the society.
Trafficking in human beings is an abhorrent phenomenon highly
affecting negatively the victims and their families in both human and
material aspect, sometimes causing irreversible damages. The longer
term effects of this phenomenon, in countries with a weak economic
development and extremely young and dynamic population, such as
Kosovo, without proper measures to prevented and control can cause
tremendous damages in the society. Given the fact that a complete
eradication of this phenomenon is almost impossible, efforts should
be concentrated at least on the prevention and controlling aspects.
Treating trafficking in human beings based on traditional police
tactics, methods and proceedings cannot bring satisfactory results.
There is no doubt that a multi-disciplinary approach is an
irreplaceable requirement, in other words, a combination of authentic
and functional proactive and reactive methods, techniques and tactics.
Obviously, police must exercise its role in preventing and combating
trafficking in human beings, a role sanctioned by the law, however,
police role and contribution cannot by any means considered
complete if all segments of the society are not included in these
efforts. Naturally, civil society should have an important share in
these collaborative and interactive efforts especially in preventive
activities such as: awareness on trafficking risks and damages,
proactive engagement in drafting appropriate legislation and
strategies, law enforcement monitoring and direct or indirect
involvement in protective and supporting activities which benefit the
victims of trafficking etc.
Abstract: While emerging technologies continue to emerge,
research into their use in learning contexts often focuses on a subset
of educational practices and ways of using technologies. In this study
we begin to explore the extent to which educational designs are
influenced by larger societal and education-related factors not usually
explicitly considered when designing or identifying technology-supported
education experiences for research study. We examine
patterns within and between factors via a content analysis across ten
years and 19 different journals of published peer-reviewed research
on technology-supported writing. Our findings have implications for
how researchers, designers, and educators approach technology-supported
educational design within and beyond the field of writing
and literacy.
Abstract: In this study, firstly democratic thoughts which
directly or indirectly affect economic development and/or the
interaction between authoritarian regimes and the economic
development and the direction and channels of this interaction were
studied and then the study tried to determine how democracy affects
economic development. It was concluded that the positive
contributions of democracy to economic development were more
determinant than the effects that were either negative or restrictive in
terms of development. When compared to autocracy, since
democracy is more successful in managing social conflicts, ensuring
political stability and preventing social disasters such as famine, it
contributes more to economic development. Democracy also
facilitates delegation of authority, provides a stable investment
environment and accelerates mobilization of resources in accordance
with economic growth/development. Democracy leads to an increase
in human capital accumulation and increases the growth rate through
reducing income inequality. It can be said that democratic regimes
are the most appropriate ones in terms of increasing economic
performance and supporting economic development through their
strong institutional structures and the assurance they will ensure in
property rights.
Abstract: Family is a basic unit of the society and the main
source of human development. The initial aim of the family is
psychological and social support of its members and has special
developmental stages. Researches show the families who have less
cohesion, have more conflicts and maladjustments and the members
of such families are not able to communicate effectively. Family is a
system in which any inter communication is related to child rearing
patterns and can affect it. Even the child rearing styles in childhood
can determine the family communications in adulthood. Therefore,
the aim of the present research was to examine the relationship
between child-rearing styles including authoritative, authoritarian and
permissive with dimensions of family communication patterns
including the conversation and conformity. The research design was a
correlational and the population consisted of the psychology students
of Roudehen Islamic Azad University who were studying in
academic year 2013-2014. A sample of 324 students was selected
randomly from the population. The research tools were the Baumrind
Child-rearing Questionnaires and Family Communication
Patterns Inventory, The Revised Scale of Koerner and Fitzpatrick.
The result was as below: (a) there was a positive and significant
relationship between conversation orientation and authoritative style.
(b) There was no significant relationship between conversation
orientation and other child-rearing styles. (c) There was a negative
significant relationship between conformity orientation and
authoritative style. (d) There was a positive significant relationship
between conformity orientation with authoritarian and permissive
styles. (e) There was a significant relationship between 3 dimensions
of child-rearing and communication patterns.