Abstract: Feed is one of the factors which play an important role in determining a successful development of an aquaculture industry. It is always critical to produce the best aquaculture diet at a minimum cost in order to trim down the operational cost and gain more profit. However, the feed mix problem becomes increasingly difficult since many issues need to be considered simultaneously. Thus, the purpose of this paper is to review the current techniques used by nutritionist and researchers to tackle the issues. Additionally, this paper introduce an enhance algorithm which is deemed suitable to deal with all the issues arise. The proposed technique refers to Hybrid Genetic Algorithm which is expected to obtain the minimum cost diet for farmed animal, while satisfying nutritional requirements. Hybrid GA technique with artificial bee algorithm is expected to reduce the penalty function and provide a better solution for the feed mix problem.
Abstract: Sugarcane Shoots is an abundantly available
residual resources consisting of lignocelluloses which take it into
the benefit. The present study was focused on utilizing of
sugarcane shoot for reducing sugar production as a substrate in
ethanol production. Physical and chemical pretreatments of
sugarcane shoot were investigated. Results showed that the size of
sugarcane shoot influenced the cellulose content. The maximum
cellulose yield (60 %) can be obtained from alkaline pretreated
sugarcane shoot with 1.0 M NaOH at 30 oC for 90 min. The
cellulose yield reached up to 93.9% (w/w). Enzymatically
hydrolyzed of cellulosic residual in 0.04 citrate buffer (pH 5) with
celluclast 1.5L (0.7 FPU/ml) resulted in the highest amount of
reducing sugar at a rate of 32.1 g/l after 4 h incubation at 50°C,
and 100 oC for 5 min . Cellulose conversion was 55.5%.
Abstract: A new, rapidly convergent, numerical procedure for
internal loading distribution computation in statically loaded, singlerow,
angular-contact ball bearings, subjected to a known combined
radial and thrust load, which must be applied so that to avoid tilting
between inner and outer rings, is used to find the load distribution
differences between a loaded unfitted bearing at room temperature,
and the same loaded bearing with interference fits that might
experience radial temperature gradients between inner and outer
rings. For each step of the procedure it is required the iterative
solution of Z + 2 simultaneous nonlinear equations – where Z is the
number of the balls – to yield exact solution for axial and radial
deflections, and contact angles.
Abstract: This research proposes a Preemptive Possibilistic
Linear Programming (PPLP) approach for solving multiobjective
Aggregate Production Planning (APP) problem with interval demand
and imprecise unit price and related operating costs. The proposed
approach attempts to maximize profit and minimize changes of
workforce. It transforms the total profit objective that has imprecise
information to three crisp objective functions, which are maximizing
the most possible value of profit, minimizing the risk of obtaining the
lower profit and maximizing the opportunity of obtaining the higher
profit. The change of workforce level objective is also converted.
Then, the problem is solved according to objective priorities. It is
easier than simultaneously solve the multiobjective problem as
performed in existing approach. Possible range of interval demand is
also used to increase flexibility of obtaining the better production
plan. A practical application of an electronic company is illustrated to
show the effectiveness of the proposed model.
Abstract: This paper has presented research in progress
concerning the contribution of target costing approach to
achievement competitive price in the Iraqi firm. The title of the
paper is one of the subjects that get large concerns in the finance and
business world in the present time. That is because many competitive
firms have appeared in the regional and global markets and the rapid
changes that covered all fields of life. On the other hand, this paper
concentrated on lack knowledge of the industrial firms, regarding the
significant role of target cost for achieving the competitive prices.
The paper depends on the main supposition, using the competitive
price to get the target cost in the industrial firms. In order to achieve
competitive advantage in business world the firms should rely on
modern methods to manage cost and profit. From strategic
perspective the target cost achieves a so powerful competitive
advantage represented in cost reduction. Nevertheless the target cost
does not exclude the calculation and survey of costs during the
production process. Products- estimated costs are calculated and
compared with the target costs.
Abstract: Inventory decisional environment of short life-cycle
products is full of uncertainties arising from randomness and
fuzziness of input parameters like customer demand requiring
modeling under hybrid uncertainty. Prior inventory models
incorporating fuzzy demand have unfortunately ignored stochastic
variation of demand. This paper determines an unambiguous optimal
order quantity from a set of n fuzzy observations in a newsvendor
inventory setting in presence of fuzzy random variable demand
capturing both fuzzy perception and randomness of customer
demand. The stress of this paper is in providing solution procedure
that attains optimality in two steps with demand information
availability in linguistic phrases leading to fuzziness along with
stochastic variation. The first step of solution procedure identifies
and prefers one best fuzzy opinion out of all expert opinions and the
second step determines optimal order quantity from the selected
event that maximizes profit. The model and solution procedure is
illustrated with a numerical example.
Abstract: Object: Review recent publications of patient safety
culture to investigate the relationship between leadership behavior,
safety culture, and safety performance in the healthcare industry.
Method: This study is a cross-sectional study, 350 questionnaires were
mailed to hospital workers with 195 valid responses obtained, and a
55.7% valid response rate. Confirmatory factor analysis (CFA) was
carried out to test the factor structure and determine if the composite
reliability was significant with a factor loading of >0.5, resulting in an
acceptable model fit. Results: Through the analysis of One-way
ANOVA, the results showed that physicians significantly have more
negative patient safety culture perceptions and safety performance
perceptions than non- physicians. Conclusions: The path analysis
results show that leadership behavior affects safety culture and safety
performance in the health care industry. Safety performance was
affected and improved with contingency leadership and a positive
patient safety organization culture. The study suggests improving
safety performance by providing a well-managed system that
includes: consideration of leadership, hospital worker training
courses, and a solid safety reporting system.
Abstract: Today the social marketing was constituted as a tool
of significant value in what he refers to the promotion of changes of
behaviors, attitudes end practices. With the objective of analyzing the
benefits that the social marketing can bring for the organizations that
use it the research was of the exploratory and descriptive. In the
present study the comparative method was used, through a qualitative
approach, to analyze the activities developed by three institutions:
the Recovery Center Rosa de Saron, the House of Recovery for
addicts and Teen Challenge Institute Children's Cancer of the
Wasteland (ICIA), kindred of pointing out the benefits of the social
marketing in organizations that don-t seek the profit.
Abstract: This paper investigates the effect of product substitution in the single-period 'newsboy-type' problem in a fuzzy environment. It is supposed that the single-period problem operates under uncertainty in customer demand, which is described by imprecise terms and modelled by fuzzy sets. To perform this analysis, we consider the fuzzy model for two-item with upward substitution. This upward substitutability is reasonable when the products can be stored according to certain attribute levels such as quality, brand or package size. We show that the explicit consideration of this substitution opportunity increase the average expected profit. Computational study is performed to observe the benefits of product's substitution.
Abstract: With today's fast lifestyles and busy schedule, nuclear
families are becoming popular. Thus, the elderly members of these
families are often neglected. This has lead to the popularity of the
concept of Community living for the aged. The elders reside at a
centre, which is controlled by the MANAGER. The manager takes
responsibility of the functioning of the centre which includes taking
care of 'residents' at the centre along with managing the daily chores
of the centre, which he accomplishes with the help of a number of
staff members and volunteers Often the Manager is not an employee
but a volunteer. In such cases especially, time is an important
constraint. A system, which provides an easy and efficient manner of
managing the working of an old age home in detail, will prove to be
of great benefit. We have developed a P.C. based organizer used to
monitor the various activities of an old age home. It is an effective
and easy-to-use system which will enable the manager to keep an
account of all the residents, their accounts, staff members, volunteers,
the centre-s logistic requirements etc. It is thus, a comprehensive
'Organizer' for Old Age Homes.
Abstract: This paper presents the results of an analytical study
on the seismic response of a Multi-Span-Simply-Supported precast
bridge in Washington State. The bridge was built in the early 1960's
along Interstate 5 and was widened the first time in 1979 and the
second time in 2001. The primary objective of this research project
is to determine the seismic vulnerability of the bridge in order to
develop the required retrofit measure. The seismic vulnerability of
the bridge is evaluated using two seismic evaluation methods
presented in the FHWA Seismic Retrofitting Manual for Highway
Bridges, Method C and Method D2. The results of the seismic
analyses demonstrate that Method C and Method D2 vary markedly
in terms of the information they provide to the bridge designer
regarding the vulnerability of the bridge columns.
Abstract: The role of knowledge is a determinative factor in the
life of economy and society. To determine knowledge is not an easy
task yet the real task is to determine the right knowledge. From this
view knowledge is a sum of experience, ideas and cognitions which
can help companies to remain in markets and to realize a maximum
profit. At the same time changes of circumstances project in advance
that contents and demands of the right knowledge are changing. In
this paper we will analyse a special segment on the basis of an
empirical survey. We investigated the behaviour and strategies of
small and medium sized enterprises (SMEs) in the area of
knowledge-handling. This survey was realized by questionnaires and
wide range statistical methods were used during processing. As a
result we will show how these companies are prepared to operate in a
knowledge-based economy and in which areas they have prominent
deficiencies.
Abstract: Bidding is a very important business function to find
latent contractors of construction projects. Moreover, bid markup is
one of the most important decisions for a bidder to gain a reasonable
profit. Since the bidding system is a complex adaptive system, bidding
agent need a learning process to get more valuable knowledge for a bid,
especially from past public bidding information. In this paper, we
proposed an iterative agent leaning model for bidders to make markup
decisions. A classifier for public bidding information named PIBS is
developed to make full use of history data for classifying new bidding
information. The simulation and experimental study is performed to
show the validity of the proposed classifier. Some factors that affect
the validity of PIBS are also analyzed at the end of this work.
Abstract: Warranty is a powerful marketing tool for the
manufacturer and a good protection for both the manufacturer and the
customer. However, warranty always involves additional costs to the
manufacturer, which depend on product reliability characteristics and
warranty parameters. This paper presents an approach to optimisation
of warranty parameters for known product failure distribution to
reduce the warranty costs to the manufacturer while retaining the
promotional function of the warranty. Combination free replacement
and pro-rata warranty policy is chosen as a model and the length of
free replacement period and pro-rata policy period are varied, as well
as the coefficients that define the pro-rata cost function. Multiparametric
warranty optimisation is done by using genetic algorithm.
Obtained results are guideline for the manufacturer to choose the
warranty policy that minimises the costs and maximises the profit.
Abstract: A mathematical model for the Dynamics of Economic
Profit is constructed by proposing a characteristic differential oneform
for this dynamics (analogous to the action in Hamiltonian
dynamics). After processing this form with exterior calculus, a pair of
characteristic differential equations is generated and solved for the
rate of change of profit P as a function of revenue R (t) and cost C (t).
By contracting the characteristic differential one-form with a vortex
vector, the Lagrangian is obtained for the Dynamics of Economic
Profit.
Abstract: This study aims to propose three evaluation methods to
evaluate the Tokyo Cap and Trade Program when emissions trading is
performed virtually among enterprises, focusing on carbon dioxide
(CO2), which is the only emitted greenhouse gas that tends to increase.
The first method clarifies the optimum reduction rate for the highest
cost benefit, the second discusses emissions trading among enterprises
through market trading, and the third verifies long-term emissions
trading during the term of the plan (2010-2019), checking the validity
of emissions trading partly using Geographic Information Systems
(GIS). The findings of this study can be summarized in the following
three points.
1. Since the total cost benefit is the greatest at a 44% reduction rate, it
is possible to set it more highly than that of the Tokyo Cap and
Trade Program to get more total cost benefit.
2. At a 44% reduction rate, among 320 enterprises, 8 purchasing
enterprises and 245 sales enterprises gain profits from emissions
trading, and 67 enterprises perform voluntary reduction without
conducting emissions trading. Therefore, to further promote
emissions trading, it is necessary to increase the sales volumes of
emissions trading in addition to sales enterprises by increasing the
number of purchasing enterprises.
3. Compared to short-term emissions trading, there are few enterprises
which benefit in each year through the long-term emissions trading
of the Tokyo Cap and Trade Program. Only 81 enterprises at the
most can gain profits from emissions trading in FY 2019. Therefore,
by setting the reduction rate more highly, it is necessary to increase
the number of enterprises that participate in emissions trading and
benefit from the restraint of CO2 emissions.
Abstract: In gas lifted oil fields, the lift gas should be distributed optimally among the wells which share gas from a common source to maximize total oil production. One of the objectives of the paper is to show that a linear MPC consisting of a control objective and an economic objective can be used both as an optimizer and a controller for gas lifted systems. The MPC is based on linearized model of the oil field developed from first principles modeling. Simulation results show that the total oil production is increased by 3.4%. Difficulties in accurately measuring the bottom hole pressure using sensors in harsh operating conditions can be resolved by using an Unscented Kalman Filter (UKF) for estimation. In oil fields where input disturbance (total supply of gas) is not measured, UKF can also be used for disturbance estimation. Increased total oil production due to optimization leads to increased profit.