eng
Ayandegan Institute of Higher Education
International Journal of Research in Industrial Engineering
2783-1337
2717-2937
2017-11-01
6
3
184
192
10.22105/riej.2017.49603
49603
Determination of Optimum Smoothing Constant of Single Exponential Smoothing Method: A Case Study
C. L. Karmaker
k.chitroleka@gmail.com
1
Department of Industrial and Production Engineering, Jessore University of Science and Technology, Jessore-7408, Bangladesh
Exponential smoothing is a sophisticated forecasting method that works based on previous forecast plus a percentage of the forecast error. A key issue of this technique is the proper choice of exponential smoothing constant. In order to minimize forecasting errors, choosing an appropriate value of smoothing constant is very crucial. In this study, a framework is developed for the selection of optimal value of smoothing constant that minimizes a measure of forecast errors like mean square error (MSE) and mean absolute deviation (MAD). Both “trial & error” and Excel based non-linear optimizer (“Excel Solver”) are used for this purpose. To validate the proposed model, necessary demand data of Ruchi Jhal Muri from years 2010-2016 from Square Food & Beverage Ltd. in Mohakhali, Dhaka were collected. The optimum values of smoothing constant under trial & error method are 0.31 and 0.14 for minimum MAD and MSE respectively whereas for excel solver, values are 0.314 and 0.143 with respect to minimum MAD and MSE. Although both methods provide approximately the same results but excel solver is much easier & requires less time for deriving optimum solution. This study will provide an outline for the forecast planners as well as manufacturers to improve the accuracy of exponential forecasting through using Excel Solver for determining the optimum value of smoothing constant.
https://www.riejournal.com/article_49603_96beb30053a5c0ba94d123da95fe3d35.pdf
Smoothing Constant
Forecast Error
Trial and error method
Excel Solver
eng
Ayandegan Institute of Higher Education
International Journal of Research in Industrial Engineering
2783-1337
2717-2937
2017-11-01
6
3
193
201
10.22105/riej.2017.49156
49156
Determine the Efficiency of Time Depended Units by Using Data Envelopment Analysis
Z. Taeb
1
F. Hosseinzadeh Lotfi
farhad@hosseinzadeh.ir
2
S. Abbasbandy
3
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
In the last years, several techniques have been reported for managing a system and recognition of the related decision making units. One of them is based on mathematical modeling. Efficiency of any system is very important for all decision makings. Often applied data have time dependent inputs/ outputs. To calculate the efficiency of time dependent data, a new calculation method has been developed and reported here. By this method, the efficiency has been calculated, with minimum errors and minimum mathematical solving model. The data are often time dependent, therefore Spline function has been estimated as a function of time, without using any particular time. Based on this developed function, the efficiency of time dependent data of a numerical example has been calculated and reported.
https://www.riejournal.com/article_49156_d381fbb71b0b1a412bb644722a5b6071.pdf
Data Envelopment Analysis
Efficiency
spline
eng
Ayandegan Institute of Higher Education
International Journal of Research in Industrial Engineering
2783-1337
2717-2937
2017-11-01
6
3
202
213
10.22105/riej.2017.92950.1002
49738
A MOLFP Method for Solving Linear Fractional Programming Under Fuzzy Environment
S.K. Das
cool.sapankumar@gmail.com
1
T. Mandal
tmandal.math@nitjsr.ac.in
2
Department of Mathematics, National Institute of Technology Jamshedpur, Jharkhand 831014,India
Department of Mathematics, National Institute of Technology Jamshedpur, Jharkhand 831014,India
In this paper, a solution procedure is proposed to solve Fully Fuzzy Linear Fractional Programming (FFLFP) problem where all the variables and parameters are triangular fuzzy numbers. Here, FFLFP problem transformed into an equivalent Multi- Objective Linear Fractional Programming (MOLFP) problem. Then MOLFP converted into an equivalent multi objective linear programming problem by using mathematical programming approach. The proposed solution illustrated through numerical examples and compared with existing methods.
https://www.riejournal.com/article_49738_61ee1f455b712082fbc214ebf12fe425.pdf
Linear programming problem
triangular fuzzy numbers
Fuzzy mathematical programming
eng
Ayandegan Institute of Higher Education
International Journal of Research in Industrial Engineering
2783-1337
2717-2937
2017-11-01
6
3
214
227
10.22105/riej.2017.91532.1000
49662
A New Method for Solving Fully Fuzzy Multi Objective Supplier Selection Problem
H. Nasseri
nhadi57@gmail.com
1
M. Morteznia
mmortezania@yahoo.com
2
M. Mirmohseni
maedeh.mirmohseni@yahoo.com
3
Department of Mathematics, University of Mazandaran, Babolsar, Iran
Department of Mathematics, University of Mazandaran, Babolsar, Iran
School of Mathematics and Information Science, Key Laboratory of Mathematics and Interdisciplinary Sciences of Guangdong Higher Education Institutes, Guangzhou University, Guangzhou 510006, China.
Supplier selection is one of the most critical activities of purchasing management in a supply chain. Because selecting right suppliers helps reduce purchasing costs, improve quality of final products and services, etc. In a real situation, for a supplier selection problem, most of the input information is not known precisely, since decision making deal with human judgment and comprehension and its nature includes ambiguity. In fact, on the one hand, deterministic models cannot easily take this vagueness into account. In these cases, the theory of fuzzy sets is one of the best tools to handle uncertainty. On the other hand, Kumar et al. proposed a new approach to find the fuzzy optimal solution of fully fuzzy linear programming problem. So, using this approach in this paper, we present a new mixed integer multi objective linear programming model for supplier selection problem. Due to uncertainty of the data, in continuation, we present a new method to solve multi objective fully fuzzy mixed integer linear programming and implement the method to supplier selection problem. Computational results present the application of the method and the proposal solving method.
https://www.riejournal.com/article_49662_32f2d81f7ac46ef016f368b69ce86885.pdf
Supplier selection
fuzzy mcdm
fully fuzzy mixed integer linear programming problem
quantity discount
weighted additive
Supply chain
eng
Ayandegan Institute of Higher Education
International Journal of Research in Industrial Engineering
2783-1337
2717-2937
2017-11-01
6
3
228
245
10.22105/riej.2017.97500.1013
51935
Concessioning a Strategy for Enhancing Nigeria’s Airport Operational Efficiency - Lessons from Developed Countries
A. O Adeniran
4tynil@gmail.com
1
K. T. Gbadamosi
kolawolebadmos01@gmail.com
2
Department of Transport Management Technology, Federal University of Technology, Akure. P.M.B. 704, Akure, Nigeria
Department of Transport Management Technology, Federal University of Technology, Akure. P.M.B. 704, Akure, Nigeria
This study examines some concessioned airports in the developed countries and their operational performance level with a view to identifying the positive impact of concessioning on their growth, development and operational performance. The ultimate goal of the study is to provide basis for adapting the experience from lessons learnt to Nigeria’s airports as a strategy for realization of airport operational efficiency. The study advocated for the concessioning of two principal airports in Nigeria because of their potentials to enhancing the application of the experience learnt from lessons on concessioning in the developed countries. Data obtained from relevant Government Institutions and Agencies in Nigeria were analyzed using descriptive statistics. It was concluded that Lagos and Abuja International Airport are the two major airports in Nigeria that can be privatized or concessioned in order to improving their level of efficiency. Happenings around the world have shown the efficacy of Government disengagement in running business through the policy of concessioning and privatization. Airport concessioning and privatization has been considered as a major tool to enhance airport efficiency as witnessed in the developed countries. Airport concessioning has the capacity to enhance efficiency of airport operation; reduce cost of airport services to stakeholders; decrease cost to the government for the support of airport sector; and attract private sector participation to free public resources for public services.
https://www.riejournal.com/article_51935_75d5a09a44230f972c23072bdf46b4de.pdf
Airport
Capacity
concessioning
Efficiency
institutions
eng
Ayandegan Institute of Higher Education
International Journal of Research in Industrial Engineering
2783-1337
2717-2937
2017-11-01
6
3
246
261
10.22105/riej.2017.98628.1014
52198
Influence of Wall Properties on the Peristaltic Flow of a Jeffrey Fluid in a Uniform Porous Channel under Heat Transfer
G. C. Sankad
math.gurunath@bldeacet.ac.in
1
P. S. Nagathan
math.pratima@bldeacet.ac.in
2
Department of Mathematics, B.L.D.E.A’s V. P. DR. P. G.Halakatti College of Engineering and Technolgy,Vijayapur (586103), Karnataka, India.
Department of Mathematics, B.L.D.E.A’s V. P. DR. P. G.Halakatti College of Engineering and Technolgy,Vijayapur (586103), Karnataka, India.
Incompressible Jeffrey fluid under peristalsis is considered into permeable conduit. Magnetic effect and slip effect are studied for this channel in the existence of wall slip and heat transfer. Time average velocity, heat transfer coefficient and temperature are obtained analytically underneath the presumption of large wavelength approximation and also small Reynolds number. Effects of magnetic number, slip parameter, elasticity parameters and Brinkman number on coefficient of heat transfer and temperature field are graphically discussed. It is observed that in the case of temperature distribution the flow intensity enhances with rise in the Darcy number, while it reduces with enhancement in the Brinkman number and slip parameter.
https://www.riejournal.com/article_52198_cd48fb3b683af92f027da1c6b5b853bf.pdf
Peristaltic flow
darcy number
jeffrey fluid
complaint walls
slip parameter
heat transfer
eng
Ayandegan Institute of Higher Education
International Journal of Research in Industrial Engineering
2783-1337
2717-2937
2017-11-01
6
3
255
268
10.22105/riej.2017.101704.1026
51934
Removal of Copper Ions from Liquid Wastes by Adsorption Technique
E. Nassef
ehssan.nassef@pua.edu.eg
1
A. Mahmoud
mony_6002000@yahoo.com
2
H. Salah
heshamsalah25@hotmail.com
3
Y. El-taweel
yehia_eltaweel@yahoo.com
4
Department of Petrochemical Engineering, Faculty of Engineering, Pharos University in Alexandria, Egypt.
Department of chemical Engineering, Faculty of Engineering, Alexandria University, Egypt.
Department of Elamriya Petroleum Company, Alexnaria, Egypt.
Department of chemical Engineering, Faculty of Engineering, Alexandria University, Egypt.
The present study aims to removal of copper ions (Cu2+) as a heavy metal ion from aqueous solution by a high inorganic molecular weight compound. This compound is modified clay (activated bentonite) which is used in oil well drilling, and obtained from local company. The experimental results showed that it is an adsorption reaction that follows Langmuir isotherm model. The maximum removal of copper ions was obtained at low copper ion initial concentration, high adsorbent dosage, low temperature, and high agitation speed. It is clear from the results obtained that the compound within the experimental range investigated cannot be considered as a method for the removal of waste stream within the experimental range investigated as the residual concentration is higher than the limits which are allowed by the environmental limits which are allowed by the low which is 5 ppm. These results may be due to the high initial copper concentration used in this work and low dosage of the compound.
https://www.riejournal.com/article_51934_481901a55440fb5dfbacf4fdcf761b8d.pdf
Adsorption
Heavy metal
Wastewater
treatment
copper
Clay