Engineering Optimization
K. Chitra; P. Halder
Abstract
In today’s competitive environment completing a project within time and budget, is very challenging task for the project managers. This aim of this study is to develop a model that finds a proper trade-off between time and cost to expedite the execution process. Critical path method (CPM) is used ...
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In today’s competitive environment completing a project within time and budget, is very challenging task for the project managers. This aim of this study is to develop a model that finds a proper trade-off between time and cost to expedite the execution process. Critical path method (CPM) is used to determine the longest duration and cost required for completing the project and then the time-cost trade–off problem (TCTP) is formulated as a linear programming model. Here, LINDO program is used to determine the solution of the model. To implement the proposed model, necessary data were collected through interviews and direct discussion with the project managers of Chowdhury Construction Company, Dhaka, Bangladesh. The analysis reveals that through proper scheduling of all activities, the project can be completed within 120 days from estimated duration of 140 days. Reduction of project duration by 17% is achieved by increasing cost by 3.73%, which is satisfactory.
Facility location, layout, design, and materials handling
M. S. Rahman; M. I. Ali; U. Hossain; T. K. Mondal
Abstract
In present’s, the location selection problems play an important role for the top-level manager or entrepreneur for opening a new manufacturing company or relocate or expand their operation. As an engineered material, the plastic is used for manufacturing a wide variety of domestic products. For ...
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In present’s, the location selection problems play an important role for the top-level manager or entrepreneur for opening a new manufacturing company or relocate or expand their operation. As an engineered material, the plastic is used for manufacturing a wide variety of domestic products. For this reason, the plastic manufacturing industries are growing in Bangladesh through the last two eras. This paper might be helpful to select a new location or expansion of the existing one in Bangladesh for the plastic manufacturing company. In this study, we have taken five commercial districts as location and ten criteria for deep consideration from all promising sites of Bangladesh.For this purpose, data has collected through surveying and questionnaires. Then, the Analytic Hierarchy Process (AHP) has used to make a preference measure to select the best location for plastic manufacturing industries. From the comparison value of the composite weight, it can be found that Mongla is the best alternative location for the decision problems.
Case studies in industry and services
S. F. Fakhrehosseini
Abstract
The expansion of production and development in the industrial sector, it is necessary to increase the investment in that. But limits of the financial resources to the investment and high risk for investments in industrial and production activities on the one hand, and the frequency of necessities and ...
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The expansion of production and development in the industrial sector, it is necessary to increase the investment in that. But limits of the financial resources to the investment and high risk for investments in industrial and production activities on the one hand, and the frequency of necessities and goals of the other hand, is inevitable to planning and priorities of investment. This study to follow, in condition of risk and uncertainty and the exist fluctuations in supply and demand market of industry, optimization of model to determine priorities and economic feasibility to the investment in this sector. This study, in three approach (TOPSIS, VIKOR and COPRAS), will examine its purpose. This research has been made for Gilan Province from 2012 to 2015. The results of this research involve the investment criteria and specify the priority of these sectors. The final results of this study indicate based on TOPSIS, VIKOR and COPRAS, the current pattern of investment in the industrial sector was not optimal and needs to be adjusted in the percentages and amounts of investment.
S. Haldar; C. L. Karmaker; Sk. R. Hossain
Abstract
Nowadays, the supply chain has become a buzzword in the business field. The only supply chain can help to lead a business in an organized way. However, in a supermarket, the supply chain is very important, but they need to ensure better communication with the supplier, customer, and internal management ...
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Nowadays, the supply chain has become a buzzword in the business field. The only supply chain can help to lead a business in an organized way. However, in a supermarket, the supply chain is very important, but they need to ensure better communication with the supplier, customer, and internal management too. Each factor of the supply chain has a good effect on itself. The purpose of this research is to explore the important supermarket supply chain factors found in the literature and from supply chain experts and to develop a framework which can help to arrange the criteria in a sequence from most important to the worst by considering each sector of the supply chain. This paper has studied one of the supermarkets in Bangladesh, namely Save ‘n’ Safe. Authors have taken FAHP, one of the tools of MCDM, to figure it out the most effective factors. The result reveals that managing inventory, internal information sharing, and accurate demand forecasting are the most affected factors for the Save ‘n’ Safe (a supermarket). Finally, some recommendations have been given to improve the existing situation. This study can be used not only in the other supermarkets but also any other retail or grocery shops.
H. Bagherzadeh Valami; S.E. Najafi; B. Farajollahzadeh
Volume 1, Issue 1 , June 2012, , Pages 19-28
Abstract
Data envelopment analysis (DEA) is a methodology for identifying efficient frontier of decision making units (DMUs) with multiple outputs and inputs. Context-dependent DEA refers to a DEA approach where a set of DMUs are evaluated against a particular evaluation context. Each evaluation context represents ...
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Data envelopment analysis (DEA) is a methodology for identifying efficient frontier of decision making units (DMUs) with multiple outputs and inputs. Context-dependent DEA refers to a DEA approach where a set of DMUs are evaluated against a particular evaluation context. Each evaluation context represents an efficient frontier composed by DMUs in a specific performance level. Context-dependent DEA measures the attractiveness and the progress for each DMU. Current paper extends the context-dependent DEA by ranking all units on the basis of attractiveness and progress measures. The method is applied to measure the attractiveness and progress of 49 bank branches, and ranking them with Context-dependent DEA.
N. Shahsavari Pour; M.H. Abolhasani Ashkezari; H. Mohammadi Andargoli
Volume 2, Issue 1 , February 2013, , Pages 20-29
Abstract
Considering flow shop scheduling problem with more objectives, will help to make it more practical. For this purpose, we have intended both the makespan and total due date cost simultaneously. Total due date cost is included the sum of earliness and tardiness cost. In order to solve this problem, a genetic ...
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Considering flow shop scheduling problem with more objectives, will help to make it more practical. For this purpose, we have intended both the makespan and total due date cost simultaneously. Total due date cost is included the sum of earliness and tardiness cost. In order to solve this problem, a genetic algorithm is developed. In this GA algorithm, to further explore in solution space a Tabu Search algorithm is used. Also in selecting the new population, is used the concept of elitism to increase the chance of choosing the best sequence. To evaluate the performance of this algorithm and performing the experiments, it is coded in VBA. Experiments results and comparison with GA is indicated the high potential of this algorithm in solving the multi-objective problems.
A. Pakzad; A. Naderi
Volume 3, Issue 4 , December 2014, , Pages 21-40
Abstract
One of the major problems in organizations is resource limitation, so the main goal of each union is to maximize the usage of their recourses and improve its efficiency. Universities as a main body of each countries educational system have an important role in developing a country. Therefore, assessing ...
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One of the major problems in organizations is resource limitation, so the main goal of each union is to maximize the usage of their recourses and improve its efficiency. Universities as a main body of each countries educational system have an important role in developing a country. Therefore, assessing the efficiency of universities and improving the quality of them are important goals. The method of the data envelopment analysis (DEA) can rank the efficiency while the number of indicators does not exceed the specific amount. But in measurement of the universities’ efficiency, main intention is toward considering a comprehensive set of indicators and in this case discrimination power of the DEA method decreases and its results are unacceptable. In this study, we present a combined model of the joint multiple layer DEA (MLDEA) model and weight restrictions method in order to try to eliminate the weakness of the mentioned method. Educational units of ShahidBahonar University of Kerman are evaluated and ranked as a case study. Empirical results shows the efficiency of presented model based on discrimination power, weight allocating and possibility of implementing this model in evaluating the function of activities, which have many indicators along with hierarchical structure.
F. Rajabi; S.E. Najafi; M. Hajiaghaei-Keshteli; S. Molla-Alizadeh-Zavardehi
Volume 2, Issue 3 , September 2013, , Pages 24-34
Abstract
In the present paper the step fixed charge transportation problem under uncertainty, particularly when variable and fixed cost are given in fuzzy forms, is formulated. In order to solve the problem, two metaheuristic, simulated annealing algorithm (SA) and variable neighborhood search (VNS), are developed ...
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In the present paper the step fixed charge transportation problem under uncertainty, particularly when variable and fixed cost are given in fuzzy forms, is formulated. In order to solve the problem, two metaheuristic, simulated annealing algorithm (SA) and variable neighborhood search (VNS), are developed for this NP-hard problem. Due to the significant role of parameters and operators on the algorithm’s quality, an extensive calibration in both SA and VNS is carried out with the aid of a set of experimental design. Through extensive computational experiments, appropriate parameter values of the proposed algorithms were chosen. For this purpose, twenty eight problems with different configuration have been generated at random and then the effectiveness of the proposed algorithms was evaluated using the relative percentage deviation (RPD) method.
N. Manavizadeh; E. Azizi Javan
Volume 3, Issue 2 , May 2014, , Pages 24-32
Abstract
Shop floor performance has great influence on performance of a manufacturing system. Traditionally, shop floor operational policies concerning maintenance scheduling, quality control and production scheduling have been considered and optimized independently. Anyway, these aspects of operations planning ...
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Shop floor performance has great influence on performance of a manufacturing system. Traditionally, shop floor operational policies concerning maintenance scheduling, quality control and production scheduling have been considered and optimized independently. Anyway, these aspects of operations planning have an interaction effect on each other significantly and hereupon for improving the system performance; they need to be considered commonly. The main objective of this study is to provide a new approach in the quality control process. x control chart has been used in previous models, but in this study to improve the quality and increase the accuracy, cumulative sum control chart which is useful for detecting small changes by considering previous information of process is used and causes 5% improvement in objective function in the case that x control chart was used.
A. Mohajeri; M. Fallah; F Hosseinzadeh Lotfi
Volume 3, Issue 3 , September 2014, , Pages 24-48
Abstract
Recovery of used products is receiving much attention recently due to growing environmental concern. In this paper, we address the carbon footprint based problem arising in closed-loop supply chain where returned products are collected from customers. These returned products can either be disposed or ...
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Recovery of used products is receiving much attention recently due to growing environmental concern. In this paper, we address the carbon footprint based problem arising in closed-loop supply chain where returned products are collected from customers. These returned products can either be disposed or be remanufactured to be sold as new ones again. Given this environment, an optimization model for a closed-loop supply chain in which the carbon emission is expressed in terms of environmental constraints, namely carbon emission constraints, is developed. These constraints aim at limiting the carbon emission per unit of product supplied with different transportation mode. Here, we design a closed-loop network where capacity limits, single-item management and uncertainty on product demands and returns are considered. First, the fuzzy mathematical programming is introduced for uncertain modeling. Therefore, the statistical approach towards possibility to synthesize fuzzy information is utilized. So, using defined possibilistic mean and variance, we transform the proposed fuzzy mathematical model into a crisp form to facilitate efficient computation and analysis. The model is applied to an illustrative example of an uncertain green supply chain (GSC).
Supply chain management
F. Mokhtari karchegani; H. Shirouyehzad; R. Tavakkoli-Moghaddam
Abstract
The fast changing and dynamic global business environment require companies to plan their entire supply chain from the raw material supplier to the end customer. In this paper, we design an integrated supply chain including multiple suppliers, multiple factories, multiple distributors, multiple customers, ...
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The fast changing and dynamic global business environment require companies to plan their entire supply chain from the raw material supplier to the end customer. In this paper, we design an integrated supply chain including multiple suppliers, multiple factories, multiple distributors, multiple customers, multiple products, and multiple transportation alternatives. A new multi-objective mixed-integer nonlinear programming model is proposed to deal with this facility location-allocation problem. It considers two conflicting objectives simultaneously, and then the problem is transformed into a multi-objective linear one. The first objective function aims to minimize total losses of the supply chain including raw material purchasing costs, transportation costs and establishment costs of factories and distributions. The second objective function is to minimize the sum deterioration rate of end products and raw materials incurred by transportation alternatives. Finally, the proposed model is solved as a single-objective, mixed-integer, programming model applying the Global Criteria Method. We test their model with numerical example and the results indicate that the proposed model can provide a promising approach to fulfill customer demand and design an efficient supply chain.
Computational modelling
T. Berhane; M. Adam; G. Awgichew; E. Haile
Abstract
In this paper, we aim at developing a model for option pricing to reduce the risks associated with Ethiopian sesame price fluctuations. The White Humera Gondar Sesame Grade 3 (WHGS3) price, which is recorded from 5 November 2010 to 30 March 2018 at Ethiopia Commodity Exchange (ECX) market, is used to ...
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In this paper, we aim at developing a model for option pricing to reduce the risks associated with Ethiopian sesame price fluctuations. The White Humera Gondar Sesame Grade 3 (WHGS3) price, which is recorded from 5 November 2010 to 30 March 2018 at Ethiopia Commodity Exchange (ECX) market, is used to analyze the price fluctuation. The nature of log-returns of the price is asymmetric (positively skewed) and exhibits high kurtosis. We used jump diffusion models for modeling and option pricing of sesame price. The method of maximum likelihood is applied to estimate the parameters of the models. We used the Root Mean Square Error (RMSE) to test the goodness of fitting for the two models to the data. This test indicates that the models fit the data well. The techniques of analytical and Monte Carlo simulation are used to find the call option pricing of WHGS3 sesame price. From the results, we concluded that Double Exponential Jump Diffusion (DEJD) model is more efficient than Merton’s model for modeling and option pricing of this sesame price.
S. Zamani; H. Farughi; M. Soolaki
Volume 2, Issue 4 , December 2013, , Pages 26-40
Abstract
In recent years, contractors play a major role in construction projects of buildings, roads, or waterworks under supervision of project owners or employers of these projects. So, that is why contractor selection is an important decision for employers. Contractor selection is a multicriterion decision ...
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In recent years, contractors play a major role in construction projects of buildings, roads, or waterworks under supervision of project owners or employers of these projects. So, that is why contractor selection is an important decision for employers. Contractor selection is a multicriterion decision problem and resolving the problem of evaluation and although ranking the candidate contractors has become a key factor for firms and enterprises. In this article, the proposed a new hybrid AHP and VIKOR methodology is applied to select the best contractor. Because of dealing with uncertain values for the criteria, fuzzy logic is used to solve this problem and the evaluation data for the alternatives have been expressed in linguistic terms. So, both AHP and VIKOR methods are performed under fuzzy environment. The fuzzy AHP is applied to form the structure of the contractor selection problem and also to obtain weights of the evaluation criteria, and fuzzy VIKOR method is used to determine final ranking. A numerical example is proposed to illustrate an application of the proposed method that demonstrates the effectiveness of the proposed model.
R. Hosseiny; V. Amirzadeh; M. A. Yaghoobi
Volume 3, Issue 1 , May 2014, , Pages 26-38
Abstract
Although a control chart can signal an out-of-control state in a process, but it does not always indicate when the process change has begun. Identifying the real time of the change in the process, called the change point, is very important for eliminating the source(s) of the change and assists process ...
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Although a control chart can signal an out-of-control state in a process, but it does not always indicate when the process change has begun. Identifying the real time of the change in the process, called the change point, is very important for eliminating the source(s) of the change and assists process engineers in identifying the responsible special cause and ul t imately in improving the proces s. In this paper, we first introduce an estimator for a change point with linear trend in the Poisson process, based on the likelihood function using a slope parameter. Then we apply Monte Carlo simulation to evaluate the accuracy and the precision performance of the proposed change point estimator. Finally we compare, the proposed estimator with the MLE of the Poisson process change point derived under linear trend disturbance on the basis of cumulative sum (CUSUM) and Shewhart C control charts. The results show that the proposed procedure outperforms the MLE designed for drift time with regard to variance and is more effective in detecting drift time when the magnitude of change is relatively large.
F. Hosseinzadeh Lotfi; G.R. Jahanshahloo; S. Hemati; S. Givehchi
Volume 1, Issue 2 , July 2012, , Pages 27-39
Abstract
Data envelopment analysis (DEA) mainly utilizes envelopment technology to replace production function in microeconomics. Based on this replacement, DEA is a widely used mathematical programming approach for evaluating the relative efficiency of decision making units (DMUs) in organizations. Evaluating ...
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Data envelopment analysis (DEA) mainly utilizes envelopment technology to replace production function in microeconomics. Based on this replacement, DEA is a widely used mathematical programming approach for evaluating the relative efficiency of decision making units (DMUs) in organizations. Evaluating the efficiency of DMUs that have two-stage network structures is so important in management and control. The resulting two stage DEA model not only provides an overall efficiency score for the entire process, but also yields an efficiency score for each of the individual stages. In this Paper we develops Nash bargaining game model to measure the performance of DMUs that have a two-stage structure. Under Nash bargaining theory, the two stages are viewed as players. It is shown that when only one intermediate measure exists between the two stages, our newly developed Nash bargaining game approach yields the same results as applying the standard DEA approach to each stage separately. With a new breakdown point, the new model is obtained which by providing example, the results of these models are investigated. Among these results can be pointed to the changing efficiency by changing the breakdown point.
Operations Research
M. Movafaghpour
Abstract
The purpose of this study is to provide a proper method for evaluating performance of teachers, which leads to authorities awareness about the quality and quantity of activities that are acceptable to the organization; also creating the grounds for empowering human resources, reduction of dissatisfaction, ...
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The purpose of this study is to provide a proper method for evaluating performance of teachers, which leads to authorities awareness about the quality and quantity of activities that are acceptable to the organization; also creating the grounds for empowering human resources, reduction of dissatisfaction, and complaints. This can result in eliminating discrimination or unfair judgments and therefore reduction of tensions, and conflicts between managers and employees. The Analytic Hierarchy Process (AHP) which was developed by Saaty is a decision analysis tool. It has been applied to many different decision fields. In this paper, we use AHP as a performance assessment tool to inquire diverse assessments in the organization about the performance of each employee. Since the number of the items to be compared in AHP is increased, the number of pairwise comparisons that each assessor answer, are increased drastically. So, we develop a method called EVMP to elicit the preference vector of pairwise comparison matrices with missing entries. The newly developed method is tested in a school; the generated results have been proved by experts.
Business Analytics
T. K. Biswas; S. M. Akash; S. Saha
Abstract
The readymade garments industry is rapidly growing and now it is the single highest export earner for Bangladesh. This business sector becomes an attractive investment destination to the country’s new young entrepreneurs upcoming due to its cheaper labor cost, lower investment cost, availability ...
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The readymade garments industry is rapidly growing and now it is the single highest export earner for Bangladesh. This business sector becomes an attractive investment destination to the country’s new young entrepreneurs upcoming due to its cheaper labor cost, lower investment cost, availability of resources, governments support, etc. than the other sectors. However, many other factors are often needed to consider in investing in this garments sectors. Again, in garments sectors, there is a wide range of apparel items like shirts, trousers, jackets, sweaters, etc. options that are available to invest. Different types of apparel items demand different types of resource requirements, diverse level of capital investment, operator’s skills, and it is also related to the many other factors. Again, all the investors are not in same stand points according to their business handling capabilities, capitals in hand, business locations and so many other aspects. This paper proposes a methodology for selection best apparel item among different alternatives that will provide a decision support to the investors in opening a new garment factory. The proposed methodology is based on Analytical Hierarchy Process (AHP) under fuzzy environment. The approaches allow the decision maker to use expert’s judgment in the form of linguistic expression in the evaluation process. In the application of proposed methodology, the best apparel item is selected for opening a garment factory in Bangladesh at present conditions.
H. Karimi; A.A. Najafi
Volume 2, Issue 2 , June 2013, , Pages 35-46
Abstract
In this paper, we consider a reliability redundancy optimization problem in a series-parallel type system employing the redundancy strategy of cold-standby. The problem consists of two parts component selection and determination of redundancy level of each component—which need to be solved so that ...
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In this paper, we consider a reliability redundancy optimization problem in a series-parallel type system employing the redundancy strategy of cold-standby. The problem consists of two parts component selection and determination of redundancy level of each component—which need to be solved so that the mean lifetime of the system can be maximized. The redundancy allocation problem is nondeterministic polynomial-time hard and is solved by a combined genetic algorithm - simulation approach. Finally, this algorithm is tested on 33 benchmark problems.
H. Golpîra; A. Mohajeri
Volume 1, Issue 3 , December 2012, , Pages 39-47
Abstract
Nowadays, managers tend to compare their organizations with the others as well they want to have benchmarks. Benchmarking should be based on correct updated organizational critical factors. Balanced scorecard (BSC) is the tool to translate the organizational strategic goals into the operational critical ...
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Nowadays, managers tend to compare their organizations with the others as well they want to have benchmarks. Benchmarking should be based on correct updated organizational critical factors. Balanced scorecard (BSC) is the tool to translate the organizational strategic goals into the operational critical factors by its strategy map. It individually may not use as the tool for organizational comparison. Data envelopment analysis (DEA) is essentially used to evaluate decision making units (DMUs) from the best possible relative efficiency. But it's incapable of defining its input and output indexes efficiently. So, in this paper the most important strategic factors obtained from BSC are employed as the input data for DEA. This may lead us to a comprehensive benchmarking method to attain the reliable appropriate results for each organization in each period. Finally, the proposed method is practically tested and the results are illustrated in the following paragraphs.
Case studies in industry and services
M. Nikkhah; A. Nikkhah; A. Afsahi
Abstract
The main purpose of the present paper is to investigate the implementation of strategies in Neka Power Plant Management Company using Balanced Scorecard. For this purpose, it is necessary that the aspects of financial, customer, internal process development and learning BSC in electric power generating ...
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The main purpose of the present paper is to investigate the implementation of strategies in Neka Power Plant Management Company using Balanced Scorecard. For this purpose, it is necessary that the aspects of financial, customer, internal process development and learning BSC in electric power generating be identified, major Neka power strategies be prioritized, Neka power plant's performance on four aspects of BSC be evaluated and, by using a six step BSC, implementation of the strategies be evaluated. The Delphi and AHP are used to analyze the organization while prioritizing strategies, initiatives, along with qualitative and quantitative measures of the four perspectives of financial, customer, internal processes and learning are achieved.
Decision analysis and methods
M. Hassanpour
Abstract
The automotive industry comprises all sectors of the design, development, and production as well as marketing and selling of vehicles. Iran's automotive industries possess the largest sector after the oil and petroleum sectors in Iran. The preliminary assessments taken by both of Iranian industries organization ...
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The automotive industry comprises all sectors of the design, development, and production as well as marketing and selling of vehicles. Iran's automotive industries possess the largest sector after the oil and petroleum sectors in Iran. The preliminary assessments taken by both of Iranian industries organization and environment protection agency were reported to the presence of around 71 various kinds of Iranian Automotive Industries (IAI) and provided the data from initial screening once prior to set up industries and process by present research. Current cluster study is targeted to weight and rank all the IAI empirically via Simple Additive Weighting (SAW) and COmplex PRoportional ASsessment (COPRAS) methods supported with weighing systems of Friedman test and Entropy Shannon, SPSS IBM 20, and Excel 2013 software to process raw data. The SAW method is resulted to classify IAI from the largest industry to the smallest one depends on 5 criteria, such as the number of staff, energy consumed (water, fuel, and power), and the land area used. COPRAS model is assigned to rank IAI pertaining to both negative and positive criteria. Finally, awareness of input materials stream introduced into IAI cycle paves the way towards the development of studies related to industrial ecology and industry 4.0.
Operations Research
H. Golpira; S. E. Najafi; M. Zandieh; S. Sadi-Nezhad
Abstract
This paper formulates a competitive supply chain network throughout a mixed integer linear programming problem, considering demand uncertainty and retailers risk averseness. That is, makes the model more realistic in comparison with the others. Employed conditional value at risk method through the data-driven ...
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This paper formulates a competitive supply chain network throughout a mixed integer linear programming problem, considering demand uncertainty and retailers risk averseness. That is, makes the model more realistic in comparison with the others. Employed conditional value at risk method through the data-driven approach, makes the model to be convex and sensitive to the risk averseness level. Finally, the model outputs and its results are illustrated through a numerical example.
Computational modelling
L. Kanagasabai
Abstract
This work presents Amplified Black Hole Algorithm (ABHA) for solving optimal reactive power problem. In the projected approach ABHA, Gravitational Search Algorithm (GSA) is merged with Black Hole Algorithm (BHA). Power loss reduction is the key objective in the proposed work. The gravitational force ...
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This work presents Amplified Black Hole Algorithm (ABHA) for solving optimal reactive power problem. In the projected approach ABHA, Gravitational Search Algorithm (GSA) is merged with Black Hole Algorithm (BHA). Power loss reduction is the key objective in the proposed work. The gravitational force between stars and the progression of stars to the black hole is attuned while explore the solution space. Assumption made that heavy objects are stars in a gravitational system, which become black holes and the exploitation of GSA is enhanced. During the progression of the projected algorithm, the radius of the black hole diminishes and more objects are included, which assist to stop early convergence. To improve the exploration and exploitation, stars gravity information has been utilized. During the progression of the projected algorithm, the radius of the black hole diminishes, and more objects are included, which assist to stop early convergence. Some of the most excellent objects turn out to be the black hole, affect other objects by their sturdy gravity. The other objects are alienated into two groups: Heavy agents and light agents. Proposed ABHA has been tested in standard IEEE 14, 30, 57, 118, 300 bus test systems and simulation results show the projected algorithm reduced the real power loss comprehensively.
Total quality management and quality engineering
S. Pal; S. Gauri
Abstract
In the real world, the overall quality of a product is often represented partly by the measured values of some quantitative variables and partly by the observed values of some ordinal variables. The settings for the manufacturing processes of such products are required to be optimized considering the ...
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In the real world, the overall quality of a product is often represented partly by the measured values of some quantitative variables and partly by the observed values of some ordinal variables. The settings for the manufacturing processes of such products are required to be optimized considering the quantitative as well as the ordinal response variables. But the simultaneous optimization of the quantitative and the ordinal response variables are rarely attempted by the researchers. In this paper, a new approach for simultaneous optimization of quantitative and ordinal responses are presented, which are developed by integrating multiple regression techniques, ordinal logistic regression technique, and Taguchi’s Signal-to-Noise Ratio (SNR) concept. The effectiveness of the proposed method is evaluated by analyzing two experimental data sets taken from the literature. The comparison of results reveals that the proposed method leads to the best optimal solution with respect to the total SNR as well as the Mean Square Error (MSE) of individual responses
Operations Research
S.K. Das; T. Mandal
Abstract
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 ...
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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.