Original Research Article
Oct. 26, 2016
Lead Time Reduction of Inbound Logistics in a FMCG Company
M Parthiban, Adarsh H
Sch J Eng Tech | 472-477
DOI : 10.21276/sjet.2016.4.10.1
Abstract
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Fast Moving Consumer Goods(FMCG) by the name has high demand in the market as well as heavy
competition. Maximizing efficiency and effectiveness of the process in the industry by shrinking supply chain and
making dynamic production to meet unpredictable demand is a challenging task faced by the industry. Logistics which is
a major portion of supply chain, adds cost to product without adding value is a major area to focus, as customer is not
willing to pay for it. In this case study we have considered a process industry which consumes COPRA and extracts
Edible oil from it. A portion of supply chain which deals with IN-BOUND LOGISTICS is taken for improvement. The
Aim of the study is to reduce the inbound Truck Turn Around Time (TTAT) by 70% with minimal cost. Presently the
company has loss of Rs. 11.5Lakhs per month on average by paying the truck owners for delaying truck for more than a
day. Since the demand is increasing rapidly the company has decided to double the productivity. Through this study
scope of improvement is found by analysing detailed time study. Mistake proofing and standardization of work is also
done to reduce the variation and improve the mean TTAT.
Study on 3D Geological Modeling of Shale Gas Reservoir---Take Sichuan Shale Gas Y Block as an Example
Shi Hao, Shao Bi-ying, Yin Yue-lei
Sch J Eng Tech | 478-481
DOI : 10.21276/sjet.2016.4.10.2
Abstract
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Shale gas contains three kinds of flow mechanism, which are seepage, analytical attachment and spread, the
situation is very complicated, so there is no substantial and breakthrough progress about 3D geological modeling of shale
gas. The unique complex fracture system of shale gas is directly related to the result of numerical simulation, so the
accurate representation of the complex fracture network system and the characteristics of the shale gas flow is the key to
the simulation of the natural fracture and hydraulic fracturing. In this paper, combined with the exploration and
development of Sichuan shale gas Y block, the preliminary study on the geological modeling of shale gas can provide
useful reference for the numerical simulation of shale gas fine reservoir.
Original Research Article
Oct. 30, 2016
Application of Lean Tool- Value Stream Mapping (VSM)
Antor Habib Chowdhury
Sch J Eng Tech | 482-488
DOI : 10.21276/sjet.2016.4.10.3
Abstract
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Value Stream Mapping is a lean tool used for reducing lead time, uncovering waste in production and supply
process by identifying non-value-adding steps first and then removing them. A flow diagram of the process and material
is drawn which reflects the current state of the operation. The non-value added actions are identified in each step. The
waste of time and resources between the steps are also come to light. The process is then analyzed to reduce lead time
and simplify the process by taking some necessary actions or applying some lean tools. By reducing waste the proportion
of value adding time in the whole process increases and the process throughput production lead time decreases. After that
a new, improved, well planned diagram is made. This is called future state map which makes the redesigned process
more effective and more efficient.
Original Research Article
Oct. 30, 2016
Performance Analysis of Diversity Combining Techniques over Rayleigh Fading SIMO Multicasting Wireless Network
Rosni Sayed, Md Asaduzzaman Shobug, A. S. M. Badrudduza
Sch J Eng Tech | 489-499
DOI : 10.21276/sjet.2016.4.10.4
Abstract
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This paper is concerned with the study of Rayleigh fading SIMO multicasting wireless network. The total
system is analyzed with and without diversity. At first, we characterize the multicast channel capacity. Then the closed
form expressions of Probability Density Function (PDF), Cumulative Distribution Function (CDF) and Complementary
Cumulative Distribution Function (CCDF) of the multicast capacity are derived in the case of without applying any
diversity combining technique. Next, we derived these parameters by applying two diversity combining techniques, such
as Selection Combining (SC) and Maximal Ratio Combining (MRC). Finally we present a comparison between these two
cases, with and without diversity combining techniques.
Original Research Article
Oct. 30, 2016
Variable Length Dipole Antenna with Split Ring Resonators
Manisha, Dinesh Sethi
Sch J Eng Tech | 500-506
DOI : 10.21276/sjet.2016.4.10.5
Abstract
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A Microstrip patch antenna is used in various applications (like Radar, Satellites) with different length dipoles.
The value of return loss must be substantially good enough to meet the required performance level for the particular
application. For this, length of dipoles is adjusted according to the material used in ground reflector to get a good value of
return loss. A conventional SDP antenna consisting of two dipoles of different length and a ground reflector, which are
serially connected with a transmission line, is designed for operating frequency range 1.7-2.7 GHz. The proposed antenna
is designed on FR-4 substrate having Є=4.3 using electromagnetic simulator software called CST Microwave Studio
Suite®. To improve the performance characteristics of the designed antenna regarding Directivity, Return Loss and gain
a Split Ring Resonator (SRR) is mounted on top of the designed SDP. Numerical results show the improved results with
improved operating frequency up to 3.2 GHz, enhanced directivity of 9.29dBi and increased gain of 7.98 dB.
Original Research Article
Oct. 30, 2016
Derivation of Mathematical Model for Micromotion and Micro-Displacement at the Bone-Implant Interface Using Spring Analysis
Gabriel Oladeji Bolarinwa, Sam Nna Omenyi, Chinonso Hubert Achebe
Sch J Eng Tech | 507-511
DOI : 10.21276/sjet.2016.4.10.6
Abstract
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One of the major factors that determine the success of hip replacement is the primary stability which is the
function of the micromotion on the bone-implant interface. Failure of hips replacement may arise from excessive motion
at the implant-bone interface under the weight bearing loads. Minimizing the micromotion of the cementless prosthetic
components is a key requirement for obtaining bone in-growth. If the initial movement is excessive, bone in-growth into
the porous surface will not occur. Few experimental studies are available on implant micromotion largely due to
difficulty of simulating loads in-vitro and in-vivo. Due to this reason, this research derived a theoretical model that
relates the micro-velocity at which the implant moves down in the bone at the implant-bone surface at a specific time, the
axial force applied on the head of the implant and the stiffness of the implants and the bones. The implant-bone interface
(fibrous tissues) was taken as elastic surface that obeys Hooke’s law using spring analysis. Here, the displacement of the
implant equals the micromotion depending on the stiffness of both cortical and trabecular (cancellous) bones. When the
implant is axially loaded, due to the elastic modulus of the bone when compared to that of the implant (stainless steel),
the deformation of the implant is neglected. That is, Ei >> (EC,ET) where Ei ,EC and ET are the elastic moduli of the
implant, cortical part of the bone and the trabecular part of the bone respectively.
Original Research Article
Oct. 30, 2016
Stock Price Forecasting With neural Network Using a New Training Algorithm
Mehrnaz Piroozbakht, Majid Rostami
Sch J Eng Tech | 512-519
DOI : 10.21276/sjet.2016.4.10.7
Abstract
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Publication of bond and stock through stock market, is a way in order to prepare the capital for investment.
According to this fact that stock price is the first and important issue for an investor, evaluating and forecasting of the
future price will be propounded. Artificial Neural Network (NN) is a way of stock price forecasting. High efficiency of
NNs in forecasting and importance of forecasting in different fields, have caused researchers to search the ways of
improving the strategies used for increase of the accuracy of forecasting by neural networks. Accuracy level of a NN
greatly depends on its weight and bias values. In a NN, weight and bias values depend on the kind of training algorithm.
In this article, the NN using for stock price forecasting is trained by a new metaheuristic training algorithm, named bird
mating optimizer (BMO). Effectiveness and efficiency of this algorithmis compared with NN trained by Genetic
Algorithm (GA) algorithm based on the average, median and standard deviation of the Mean Square Error (MSE).The
experimental results show that the BMO lends itself very well to forecast of stock price.