Data Envelopment Analysis, DEA
Maryam Nematizadeh; Maryeh Nematizadeh
Abstract
Naturally, managers are interested in analyzing the relative efficiency of the production systems with parametric or non-parametric methods. One of the non-parametric methods utilized in recent three decades is a Data Envelopment Analysis (DEA) that can evaluate the relative efficiency of these structures ...
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Naturally, managers are interested in analyzing the relative efficiency of the production systems with parametric or non-parametric methods. One of the non-parametric methods utilized in recent three decades is a Data Envelopment Analysis (DEA) that can evaluate the relative efficiency of these structures and determine their strengths and weaknesses. In the real world, most production systems have a network structure. So, Network Data Envelopment Analysis (NDEA) is a suitable non-parametric method to evaluate the performance of production processes, which considers the internal processes. In addition to the importance of treating consumed waters and pollutants in environmental protection in today’s world, increasing the profitability of the production unit can be an important motivation to design the proper model to evaluate the performance of these structures in terms of profitability. In this sense, we first introduce a two-stage feedback structure including undesirable factors. Then, by applying the assumption of weak disposability for undesirable factors, a method for analyzing the relative performance of such network structures is given. The focus would be on profitability maximization. Moreover, to illustrate the proposed approach, a real case on the ecological system of 31 regions of China is used.
T. Aliheidari bioki; H. Khademi Zare
Volume 1, Issue 1 , March 2014, , Pages 35-49
Abstract
Competition among the industrial and service organizations to provide their clients with financial and credit requirements through the banking facilities has considerably increased. On the other hand, the challenge facing these financial and credit resources is that they are limited. Therefore, the optimal ...
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Competition among the industrial and service organizations to provide their clients with financial and credit requirements through the banking facilities has considerably increased. On the other hand, the challenge facing these financial and credit resources is that they are limited. Therefore, the optimal allocation of these limited financial resources with the aim of maximizing the investment value is of a great priority for banks and other financial institutes. In this study, first the credit criteria for the applicants for bank facilities have been identified and then based on the improved Data Envelopment Analysis (DEA) technique, an effective method has been proposed for the client clustering. The improved DEA method which is called Golden DEA reduces the calculation time and increases the decision-making operations that ultimately lead to the improvement of the existing method. Also, the improved DEA model provides a short, dynamic and straight path in order to achieve greater efficiency for every institution. The priority provided by the improved DEA method has been compatible with the priority given by the existing DEA method for all of the understudied cases.
Mona Ganjali; Hadi Shirouyehzad; Arash Shahin
Volume 3, 1(4) , December 2016, , Pages 39-48
Abstract
Today, the rapid increase of the industrial activities and uncontrolled consumption of natural resources cause environmental problems and interested companies in the activities that support sustainable environment. The primary concerns of reverse logistics are waste management, material recovery, part ...
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Today, the rapid increase of the industrial activities and uncontrolled consumption of natural resources cause environmental problems and interested companies in the activities that support sustainable environment. The primary concerns of reverse logistics are waste management, material recovery, part recovery and product recovery. This paper aims to prioritize critical success factors of reverse logistics in HAMGAM KHODRO ASIA. The results were obtained through a questionnaire from the top-level managers and engineers that work in HAMGAM KHODRO ASIA. Results of case study show that critical success factors of expert and trained personnel, customer satisfaction, flexibility of system, financial advocate of managers and flexibility of management are the strength point of company. Weak points of this case study are environmental awareness, environmental issue, reduction in overall production cost, regularity issue and use of existing personnel.
Case studies in industry and services
Seyed Fakhreddin Fakhrehosseini; Meysam Kaviani
Abstract
The expansion of production and development in the industrial sector is due to increase the investment on the activity of this sector. On one hand limits of the financial resources to the investment and high risk of investments in industrial and production activities, and by the other hand, the frequency ...
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The expansion of production and development in the industrial sector is due to increase the investment on the activity of this sector. On one hand limits of the financial resources to the investment and high risk of investments in industrial and production activities, and by the other hand, the frequency of necessities and goals is inevitable to planning and priorities of investment. This study wants to provide optimize pattern by attention to the condition of risk and uncertainty and fluctuations in supply and demand market of industry, to determine priorities and economics feasibility to the investment in this sector. This study will examine its purpose in three scenarios (optimistic, pessimistic and uncertain market). The model used in this study is a fuzzy multi-criteria decision method. This research has been made for Mazandaran Province from 2005 to 2010. The results of this research involve the investment criteria and specify the priority of these sectors. The final results of this study indicate that in conductions of uncertainty and volatility of market, the current pattern of investment in the industrial sector was not optimal and needs to be adjusted in the percentages and amounts of investment.
Fuzzy optimization
Nemat Allah Taghi-Nezhad; Fatemeh Taleshian
Abstract
Quadratic Programming has been widely applied to solve real-world problems. This paper describes a solution method for solving a special class of fuzzy quadratic programming problems with fuzziness in relations. Then the method is generalized to a more general fuzzy quadratic programming problem, where ...
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Quadratic Programming has been widely applied to solve real-world problems. This paper describes a solution method for solving a special class of fuzzy quadratic programming problems with fuzziness in relations. Then the method is generalized to a more general fuzzy quadratic programming problem, where the cost coefficients, the matrix of the quadratic form, constraints coefficients, and the right-hand sides are all fuzzy numbers. Finally, some examples are taken to the utility of our proposed method.
Decision analysis and methods
Iman Ajripour; Milad Asadpour; Leila Tabatabaie
Abstract
The organization Performance management is an important component that directly affects the total performance of the organization and the competitive environment. Hence, manager(s) performance is one of the most important functional parts of an organization. Senior manager(s) decisions are one of the ...
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The organization Performance management is an important component that directly affects the total performance of the organization and the competitive environment. Hence, manager(s) performance is one of the most important functional parts of an organization. Senior manager(s) decisions are one of the most important factors affecting the organization performance management. In this paper, organization performance management is evaluated using criteria derived from Balanced Scorecard. The purpose of this paper is to prioritize alternatives related to manager(s) performance in an organization using multi-criteria decision-making, i.e. PROMETHEE, ELECTRE, and TOPSIS and provide a model for it. Mean Maximum-Minimum Square Ranks method is proposed to combining the results obtained from applying multi-criteria decision-making methods. Also, roadmaps are presented for alternatives with higher priority for the organization. The proposed model provides the possibility of solving issues related to the organizational performance by analyzing various alternatives and criteria for organization manager(s). To evaluate the efficiency of the proposed approach, the model is implemented in a petrochemical company, which its final products are used to make fibers.
Decision analysis and methods
Reza Hassanzadeh; Hossein Asghari
Abstract
Sales and Operations Planning (S&OP) includes up-to-date forecasts that lead to sales schedules, production schedules, inventory schedules, customer delivery plans, new product development plans, and financial plans. The purpose of this study is to identify the affecting factors of the implementation ...
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Sales and Operations Planning (S&OP) includes up-to-date forecasts that lead to sales schedules, production schedules, inventory schedules, customer delivery plans, new product development plans, and financial plans. The purpose of this study is to identify the affecting factors of the implementation of the S&OP Process and determine the significance of each of them, as well as the ranking of the implementing department of this process by using the fuzzy AHP and fuzzy TOPSIS. Data collections in this research, by 10 experts of different planning and production departments of Kalleh dairy production company in 2018 have been conducted. To identify the factors, research findings and expert opinion have been used and the required data have been collected through the designed questionnaires. The validity of the questionnaire has been confirmed by the experts in this area, and its reliability has been analyzed using the incompatibility rate of the AHP method. The data analysis in this study was done using coding in Eecel software. The results show that among the S&OP executing parts, the highest impact of factors on UHT section was observed with 0.56 points and the lowest impact on the concentration with 0.37 points. The major affecting factors of sales and operations planning process implementation, relations with countries of the region and the world, customs rules (roof of the outflow of currency from the country in return for raw materials) and inflation rate and currency changes are known that the organization can be grown in order to thrive to generalize these issues.
Payam Khosravi; Mehdi Alinaghian; Seyed Mojtaba Sajadi; Erfan Babaee Tirkolaee
Volume 2, Issue 1 , March 2015, , Pages 64-76
Abstract
Waste collection is a highly visible municipal service that involves large expenditures and difficult operational problems. In addition, it is expensive to operate in terms of investment costs (i.e. vehicles fleet), operational costs (i.e. fuel and maintenances) so that generating small improvements ...
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Waste collection is a highly visible municipal service that involves large expenditures and difficult operational problems. In addition, it is expensive to operate in terms of investment costs (i.e. vehicles fleet), operational costs (i.e. fuel and maintenances) so that generating small improvements in this area can lead to huge savings in municipal expenditures. Among the issues raised in the process of decisions making by managers and associated policy makers, one can point to determining the optimal weekly policies of waste collection. In this paper, the periodic capacitated arc routing problem (PCARP)in mobile disposal sites is described and the authors seek to determine the optimal routes of required edges (streets or alleys) per week, number and location of mobile disposal sites, and the number of required vehicles. We present two simulated annealing algorithms, which are different in cooling schedule and number of iterations of each temperature. To evaluate the performance of these algorithms on small-sized problems, the solver “CPLEX"in application “GAMS” is used. The experimental results show that the presented algorithms have appropriate performance and a reasonable time range.
Mohammad Hassan Pourkhandani; Seyed Javad Iranban; Seyed Masoud Seyedi
Volume 1, Issue 2 , June 2014, , Pages 112-129
Abstract
The Quality Function Deployment method (QFD) is one of the most effective tools of designing and improving quality being used in order to supply customer’s requirements and enhancing his/her satisfaction. The main purpose of this research is to prioritize the identifiers of improving servicequality ...
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The Quality Function Deployment method (QFD) is one of the most effective tools of designing and improving quality being used in order to supply customer’s requirements and enhancing his/her satisfaction. The main purpose of this research is to prioritize the identifiers of improving servicequality of dental clinic using QFD approach and combined ANP and DEMATEL with fuzzy approach. Initially in this research, patients’ demands were determined. Before ranking, the patients’ demands were classified based on dimensions of SERVQUAL model, then they were ranked by the combined ANP and DEMATEL with fuzzy approach. Then, technical requirements were determined by nominal group technique. At last, the matrix of house of quality (HOQ) was completed that the most significant technical requirements include holding training courses, purchasing modern equipment, and recruiting skilled and committed personnel.
Decision analysis and methods
Seyede Narges Taati; Ayda Esmaili Dooki
Abstract
Nowadays, hospitals are considered as one of the most important service industries in which nurses play a vital role. Indeed, the patient's safety will be treated and the hospital credibility will be lost, if the hospital nurses do not carry out their tasks properly. In this paper, an integration of ...
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Nowadays, hospitals are considered as one of the most important service industries in which nurses play a vital role. Indeed, the patient's safety will be treated and the hospital credibility will be lost, if the hospital nurses do not carry out their tasks properly. In this paper, an integration of Fuzzy Decision Making Trial and Evaluation (FDEMATEL), Fuzzy Hierarchy Process Analysis (FAHP), and Fuzzy VIKOR (FVIKOR) is proposed to select the best hospital nurses of a year regarding to some qualitative and quantitative criteria. Firstly, FDEMATEL method is used to identify the most important criteria of the problem and then FAHP approach is utilized to determine the weight importance of the criteria. Finally, prioritizing of the hospital nurses is done by FVIKOR method and the proposed method is implemented in a real-world case study of one of the most prominent hospitals in the north of Iran, for the first time. The results illustrate that the proposed method is very functional and effective in both selecting and ranking the hospital nurses process.
Elahe Shariatmadari Serkani
Volume 2, Issue 2 , June 2015, , Pages 120-138
Abstract
Customer relationship management (CRM) and innovation are widely considered to be valuable capabilities associated with competitive advantage. CRM is a comprehensive guideline and process of management and data sharing with key customers to prompt supreme values of partnership and customers. Innovation ...
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Customer relationship management (CRM) and innovation are widely considered to be valuable capabilities associated with competitive advantage. CRM is a comprehensive guideline and process of management and data sharing with key customers to prompt supreme values of partnership and customers. Innovation is an important factor in setting successful mature firms apart from their competitors. Innovation capability assessments are methods to evaluate the innovation capability of enterprises, in particular, for the identification of their strengths, the improvement of their potentials, and for a good basis for a sustainable improvement of the innovation capability. The propose of this study is choosing the most effective dimensions of CRM by using the hybrid approach of Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP). Thus, based on experiences of the industry firm, we draw the causal relations among innovation capabilities using DEMATEL mathematical model and determine their effects on each other. Then based on these causal relations, we choose the most effective dimensions of CRM by using the ANP model. At the result, “long-term cooperation” has the best score and can be said that it is the most effective dimensions and And then respectively followed by Customer relationship management technology-oriented, Customer participation, information sharing and consultation on problems.
Industrial Mathematics
Mohamad Ali Movafaghpour
Abstract
The Analytic Hierarchy Process (AHP) which was developed by Saaty is a decision analysis tool. It has been applied to many different decision fields. Acquiring Pairwise Comparison Matrices (PCM) is the main step in AHP and also is frequently used in other multi-criteria decision-making methods. In a ...
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The Analytic Hierarchy Process (AHP) which was developed by Saaty is a decision analysis tool. It has been applied to many different decision fields. Acquiring Pairwise Comparison Matrices (PCM) is the main step in AHP and also is frequently used in other multi-criteria decision-making methods. In a real problem when the number of alternatives/criteria to be compared is increased, the number of Pairwise Comparisons (PC) often becomes overwhelming. Since the Decision Maker’s (DM) performance in representing the relative preferences tends to deteriorate in such cases, it is preferred to gather fewer data from each individual DM in the form of pairwise comparisons. Missing values in Pairwise Comparison Matrices (PCM) in AHP is a spreading problem in areas dealing with great or dynamic data. The aim of this paper is to present an efficient mathematical programming model for estimating preference vector of pairwise comparison matrices with missing entries.
Forecasting, production planning, and control
Adeniran Adetayo Olaniyi; Kanyio Olufunto Adedotun; Owoeye Adelanke Samuel
Abstract
Two years single moving average and simple exponential smoothing with smoothing constant of 0.9 were applied to forecast the 2018 demand for domestic air passenger in Nigeria. Also, the two methods of forecasting were evaluated and compared with Mean Squared Deviations (MSD) to determine which method ...
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Two years single moving average and simple exponential smoothing with smoothing constant of 0.9 were applied to forecast the 2018 demand for domestic air passenger in Nigeria. Also, the two methods of forecasting were evaluated and compared with Mean Squared Deviations (MSD) to determine which method gives the lowest deviation as it will produce best forecast for the year 2018 domestic air passenger demand in Nigeria. The study relied on data of domestic air passenger demand between the periods of the year 2010 to the year 2017. It was revealed that the MSD of two yearly single moving average gave the best year 2018 forecast as it has a lower MSD when compared to the MSD of simple exponential smoothing with the smoothing constant of 0.9. This study is useful in the planning process of an airport, airline, and other stakeholders involved in Nigeria’s air transportation. It will help to prevent problems of having excess air transport demand over air transport supply or having excess air transport supply over demand.
Farhad Yazdani; Reza Tavakkoli Moghadam; Mehdi Bashiri
Volume 1, Issue 3 , September 2014, , Pages 180-197
Abstract
In recent years, reverse logistics has received more attention by researchers due to governmental regulations, environmental issues and social responsibilities. This paper deals with the design of a multi-product closed-loop supply chain network, in which some production centers experience minor and ...
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In recent years, reverse logistics has received more attention by researchers due to governmental regulations, environmental issues and social responsibilities. This paper deals with the design of a multi-product closed-loop supply chain network, in which some production centers experience minor and general disruptions. The proposed network has three levels in the forward direction (i.e., suppliers, plants and distributors) and three levels in the reverse direction (i.e., collection centers, redistribution and disposal). Initially, plants prepare their needed raw materials from the suppliers; after production in plants, the final products are delivered to customers through distribution centers, percentage of these products are collected from customers by collecting centers. In the collection centers, the percentage of products is returned to manufacturing factories for recycling, percentage of them is sent to redistribution centers for sale to secondary customers, and the percentage that does not possess any capability of the cited items will be sent to disposal centers. The mathematical model presented in this study is a bi-objective mixed-integer nonlinear model while maximizing the profit, the delivery time to customers will be minimized. For validation of the model, a numerical example is provided by Pareto curve, in which the profit is versus the time.
Thermal Comfort
Abdullah. N. Olimat; Ahmed Al-Salaymeh; Ayman Al-Maaitah
Abstract
Experimental analysis of thermal properties of phase change material was conducted using DCS and TG apparatus. Moderate rang of temperature of phase change material was selected and experimentally investigated. Measurement of melting and solidification temperature at several heating rate are carried ...
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Experimental analysis of thermal properties of phase change material was conducted using DCS and TG apparatus. Moderate rang of temperature of phase change material was selected and experimentally investigated. Measurement of melting and solidification temperature at several heating rate are carried out. Furthermore, the stability and thermal decomposition of the selected phase change material are also investigated. Experiment demonstrates clearly the phase change material effect in melting and solidification. The lab test with DSC and TG proves that the catalogue data of the Plus ICE H190 PCM is reasonable to be used for thermal storage devices with great deal of consistency. In general, results showed that the utilization of phase change material in thermal storage is feasible to store and extract heat at constant temperature in the range between 170oC to 200oC which has many applications in engineering and industry.
Elaheh Maghsoudi; Hadi Shirouyehzad; Arash Shahin
Volume 2, Issue 3 , September 2015, , Pages 195-203
Abstract
Uncertainly and change in the business environment has been a major topic in conducting research for long time. It seems that to recognize and classify the factors affecting organizational agility, need to specify the amount of their importance, because of knowing agility helps managers for better performance ...
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Uncertainly and change in the business environment has been a major topic in conducting research for long time. It seems that to recognize and classify the factors affecting organizational agility, need to specify the amount of their importance, because of knowing agility helps managers for better performance and success of their company. The purpose of this research is assessment and priority of drivers and capabilities agility that influence in performance of project based organization. The research data are collected through questionnaire and the research methodology is based on Topsis technique. Result of the study shows that between agility capabilities competency and between agility drivers change in competition basis have the most influence in performance of the organization.
Decision analysis and methods
Elham Ebrahimi; Mohammad Reza Fathi; Seyed Mohammad Sobhani
Abstract
Multiple criteria decision-making (MCDM) is well known nowadays as a methodology in which a set of techniques are integrated to evaluate a set of alternatives with specified criteria for the purpose of selecting or ranking. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is ...
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Multiple criteria decision-making (MCDM) is well known nowadays as a methodology in which a set of techniques are integrated to evaluate a set of alternatives with specified criteria for the purpose of selecting or ranking. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is well-established methodology frequently considered in MCDM analyses. TOPSIS has a sound logic that represents the rationale of human choice and is a scalar value simultaneously taking into account both the best and worst alternatives. Moreover, it has a simple computation process that could be easily programmed and finally it has the ability to rank alternatives on attributes to be visualized on a polyhedron, in at least two dimensions. Despite the advantages of this method, the process of ranking alternative according to related criteria may need more consideration. Typically, there are contributions in this article. First, a new similarity measure has been introduced followed by a modification applied to TOPSIS analyses. Second, the modified similarity technique was subsequently extended in the fuzzy context to cope with the uncertainty inherently existing in human judgments. A numerical example of the personnel selection was presented to demonstrate the possible application of the proposed method in human resource management. The outcome of applying fuzzy similarity method showed a significant distinction in ranking alternatives compered to TOPSIS method. Therefore, the modification is sound to be a proper solution.
Ganjar Sidik Gandara; Riko Muri; Humiras Hardi Purba
Abstract
The purpose of this research is to make the right design in improving the service of selling formaldehyde products in the Chemical Industry according to customer requirements by implementing Quality Function Deployment. Complying on customer satisfaction is important in the competitive global market, ...
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The purpose of this research is to make the right design in improving the service of selling formaldehyde products in the Chemical Industry according to customer requirements by implementing Quality Function Deployment. Complying on customer satisfaction is important in the competitive global market, which can be realized by innovation and quality fulfillment. Innovation and quality are not only about fulfilling product specifications, but also whether the product is marketable. Furthermore, as the show of average sales formaldehyde product in the last 3 years is 71.6% of a target whereas the formaldehyde market share is very large. It is important to develop sales services of products to meet customer needs. Quality Function Deployment (QFD) is a tool that can translate the customer needs to obtain a technical response in complying with the customer’s satisfaction. Method of this research uses customer satisfaction survey form, the data was collected through a field survey with questionnaires. The market survey generates 9 critical points of the services in selling products. House of quality (HOQ) was developed and analyzed to describe the relationship between customer expectations and technical responses. The overall analysis suggests three priorities of technical responses of a design concept to take into account in the service development. Priority as an action plan is additional hunting line for customer - Marketing and Sales (23%), provide schedule regular meeting with customer - include related department (15%), and shipment schedule to increase On-Time Delivery (OTD) from 80% to 95% through collaborating with external transportation company (14%). Finally, Quality Function Deployment (QFD) is implementing for increasing sales formaldehyde products through customer satisfaction.
Fuzzy optimization
Hamiden Abdelwahed Khalifa
Abstract
In this paper, a Multi-Criteria De Novo Linear Programming (F- MDNLP) problem has been developed under consideration of the ambiguity of parameters. These fuzzy parameters are characterized by fuzzy numbers. A fuzzy goal programming approach is applied for the corresponding multi-criteria De Novo linear ...
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In this paper, a Multi-Criteria De Novo Linear Programming (F- MDNLP) problem has been developed under consideration of the ambiguity of parameters. These fuzzy parameters are characterized by fuzzy numbers. A fuzzy goal programming approach is applied for the corresponding multi-criteria De Novo linear programming (MDNLP) problem by defining suitable membership functions and aspiration levels. The advantage of the approach is that the decision maker's role is only the specification of the level and hence evaluate the efficient solution for limitation of his/ her incomplete knowledge about the problem domain. A numerical example is given for illustration.
Hadi Shirouyehzad; Seyyedeh Athar Mousavirad; Seyed Mojtaba Sajadi
Volume 1, Issue 4 , October 2014, , Pages 259-270
Abstract
Timetabling is one of the most difficult issues in the world; this is a combinatory optimization issue and it has been proven that it is a NP-Hard issue.University Courses Timetabling is very important especially for the exams and courses. The manual solving of the Timetabling needs a broad domain of ...
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Timetabling is one of the most difficult issues in the world; this is a combinatory optimization issue and it has been proven that it is a NP-Hard issue.University Courses Timetabling is very important especially for the exams and courses. The manual solving of the Timetabling needs a broad domain of sources and time to create an applicable schedule with minimum interference in the curriculum and Professor's program is not easy. Different mathematical models and algorithms have been presented for this issue but each strategy considers different limitations according to its environment and factors. Timetabling is different for different university courses Timetabling. In this study a new multi objective mathematical model with new objective functions and new constrains has been presented for university courses timetabling. The present study tries to consider most restrictions for a training center. Finally the validity of the proposed model has been surveyed by a small numerical example and its solving by LINGO11 software shows that this model can satisfy all goals and limitations.
Heuristics and Metaheuristics Algorithms
Hadi Roshan; Masoumeh Afsharinezhad
Abstract
Data analytics allows companies mining the patterns and trends in their customers data to implement more effective market segmentation strategies, then customize promotional offers, allocate marketing resources efficiently, and improve customer relationship management. However the implementation of such ...
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Data analytics allows companies mining the patterns and trends in their customers data to implement more effective market segmentation strategies, then customize promotional offers, allocate marketing resources efficiently, and improve customer relationship management. However the implementation of such strategies often hampered by limited budgets and the ever-changing priorities and goals of marketing campaigns. So, This paper suggests and demonstrates the novel approach dividing a broad target market into subsets of consumers who have common needs, interests, and priorities, and then designing and implementing strategies to target them to achieve profit maximization. Therefore, the aims of this study are twofold, first, is to use historical data (such as purchased items and the associative monetary expenses), the proposed model identifies customer segments based on Firefly Algorithm (FA). Second, is the identification of the most profitable segment according to the RFM model (recency, frequency and monetary). In this article real marketing data are used to illustrate the proposed approach.
Hamidreza Panjehfouladgaran; Nima Bahiraie
Volume 1, Issue 5 , December 2014, , Pages 320-328
Abstract
Environmental issues and globalization pushed companies to be more environmentally conscious and socially responsible. Recently, term of sustainability has been extended in various aspects like manufacturing processes to respond to mentioned concern. Moreover, numerous industries and companies applied ...
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Environmental issues and globalization pushed companies to be more environmentally conscious and socially responsible. Recently, term of sustainability has been extended in various aspects like manufacturing processes to respond to mentioned concern. Moreover, numerous industries and companies applied sustainable supply chain to achieve more advantageous economically as well as environmentally. Many factors exist, that play significant role in SSCM strategies implementation. These critical success factors receive more attention from various angles of management in recent years and help managers to increase competitive advantage and reach to the company’s goals. Identification and investigation of CSFs in SSCM is so important to realize the sustainability. Some of these factors are common between two dimensions and some of them are mutual among all three main dimensions in triple line bottom in sustainability. In this paper, related literature around critical success factors in supply chain is explained and some of the factors are introduced. Then role of interaction between critical success factors and sustainability criteria are discussed.
Engineering Optimization
Suresh Aluvihara; Jagath K. Premachandra
Abstract
Crude oil is an energy resource that mostly composed with hydrocarbons and trace corrosive compounds as well found some cruxes in the petroleum refining industry because of the vast applications of the different types of metals. There were expected to investigate the effect of two different types of ...
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Crude oil is an energy resource that mostly composed with hydrocarbons and trace corrosive compounds as well found some cruxes in the petroleum refining industry because of the vast applications of the different types of metals. There were expected to investigate the effect of two different types of crude oils on the corrosion of seven types of selected ferrous metals in the pertinent research. The concerned corrosive properties of both crude oils were tested by standard methods and instruments also the chemical compositions of selected ferrous metals were tested. The corrosion rates of a series of similar size prepared metal coupons were tested after limited immersion time periods as three trials in crude oils by the weight loss method since aiding the microscopic analysis to identify the corrosion compounds. Apart from those speculations the decayed metallic elemental mounts from the metals into crude oils and the reductions of the initial hardness of metal coupons were tested. The obligatory results showed the relatively higher corrosion rates from carbon steels, relatively lower corrosion rates from stainless steels in both crude oils, formation of FeS in most of observations, decay of ferrous and copper into crude oils from some metals and slight reductions of the initial hardness of metal coupons due to the formation of the corrosion on the metal surfaces.
Reza Darvishinia; Hossein Ebrahimzadeh Shermeh; Samira Barzkar
Abstract
The present study aims at suggesting a model for intelligent investment, through enabling us to be Autoregressive Integrated Moving Average of ARIMA and seasonal coefficient. In this study, the researcher uses seasonal fluctuation Model. The previous trend of time series, related to the companies for ...
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The present study aims at suggesting a model for intelligent investment, through enabling us to be Autoregressive Integrated Moving Average of ARIMA and seasonal coefficient. In this study, the researcher uses seasonal fluctuation Model. The previous trend of time series, related to the companies for a period of 11 years, from 2006 to 2017, was carried out based on seasonal data. Then the researcher predicted the final price based on moving average method. In the next stage, the proportion of real final price and predicted the final price is calculated regarding each period. Then, the seasonal coefficient average is calculated for similar seasons. In the final stage, the value of a prediction, for a given period, is calculated when moving average method is multiplied by a seasonal coefficient average. As a result, seasonal coefficient of a given stock is derived.
Information Retrieval
Ali Fallahi RahmatAbadi; Javad Mohammadzadeh
Abstract
With the exponentially increasing volume of online data, searching and finding required information have become an extensive and time-consuming task. Recommender Systems as a subclass of information retrieval and decision support systems by providing personalized suggestions helping users access what ...
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With the exponentially increasing volume of online data, searching and finding required information have become an extensive and time-consuming task. Recommender Systems as a subclass of information retrieval and decision support systems by providing personalized suggestions helping users access what they need more efficiently. Among the different techniques for building a recommender system, Collaborative Filtering (CF) is the most popular and widespread approach. However, cold start and data sparsity are the fundamental challenges ahead of implementing an effective CF-based recommender. Recent successful developments in enhancing and implementing deep learning architectures motivated many studies to propose deep learning-based solutions for solving the recommenders' weak points. In this research, unlike the past similar works about using deep learning architectures in recommender systems that covered different techniques generally, we specifically provide a comprehensive review of deep learning-based collaborative filtering recommender systems. This in-depth filtering gives a clear overview of the level of popularity, gaps, and ignored areas on leveraging deep learning techniques to build CF-based systems as the most influential recommenders.
