Engineering Optimization
B. Ejlali; S. F. Bagheri; Kh. Ghaziyani
Abstract
Disaster relief logistics is considered to be one of the major activities in disaster management. This research studies response phase of the disaster management cycle. To do so, a multi-purpose integrated model for a three-level relief cycle logistics is provided under an uncertainty condition and on ...
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Disaster relief logistics is considered to be one of the major activities in disaster management. This research studies response phase of the disaster management cycle. To do so, a multi-purpose integrated model for a three-level relief cycle logistics is provided under an uncertainty condition and on a periodic basis. In this model, inventory transfer, vehicle routing, distribution and sending relief goods are modeled on a periodic basis. In addition, in order to solve the proposed mathematical model, ultra-initiative particles swarm algorithm in combination with variable neighborhood search based on Pareto archive is proposed. To prove the efficiency of the proposed particles swarm algorithm, several sample problems are randomly selected considering the solved problems in the literature and are solved by particles swarm algorithm. These problems are also solved by genetic algorithm and the results obtained from these two algorithms are compared in terms of quality, dispersion and integrity indices. The results show that compared to genetic algorithm, particles swarm algorithm is more capable of producing more integrated, qualified and dispersed responses. Moreover, the results show that the solution time of genetic algorithm is less than that of the proposed algorithm.
Scheduling
T. Chawasemerwa; I. W. Taifa; D. Hartmann
Abstract
Doctor scheduling is a complex, costly and time-consuming exercise. This study develops a constraint satisfaction and penalty minimisation scheduling model for meeting ‘hard constraints’ and minimises the cost of violating ‘soft constraints’, i.e. the user inputs, the total number ...
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Doctor scheduling is a complex, costly and time-consuming exercise. This study develops a constraint satisfaction and penalty minimisation scheduling model for meeting ‘hard constraints’ and minimises the cost of violating ‘soft constraints’, i.e. the user inputs, the total number of doctors to be scheduled, the maximum penalty to be met, and the minimum number of doctors to be assigned per shift. The algorithm creates a schedule which checks against all the constraints. The total schedule penalty associated with the constraint violations should be less than or equal to the user input penalty. If this condition is met, the schedule gets produced as the final and near-optimal solution. The model is managed to create a near optimal schedule with the minimal rule violations. However, it is challenging to provide a schedule with no rule violations. Such a situation is shown by the amount of computational time required to create a zero-penalty schedule, hours or even days needed to create a zero-penalty schedule. The system creates a schedule for a short period (weekly schedule) to promote flexibility; however, such a system does not promote fairness. Fairness is achieved through a cyclic schedule with rotations equal to the total number of doctors being scheduled. The system is managed to create a streamlined and flexible working environment and helped to improve the quality of healthcare. An optimization protocol can be incorporated into the system to reduce the search space and get the best optimal schedule since it is possible to get many schedules under the same user-defined parameters.
H. Mohammadi-Andargoli; R. Tavakkoli-Moghaddam; N. Shahsavari Pour; M.H. Abolhasani-Ashkezari
Volume 1, Issue 2 , July 2012, , Pages 10-26
Abstract
This paper addresses the permutation of a flexible job shop problem that minimizes the makespan and total idleness as a bi-objective problem. This optimization problem is an NP-hard one because a large solution space allocated to it. We use a duplicate genetic algorithm (DGA) to solve the problem, which ...
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This paper addresses the permutation of a flexible job shop problem that minimizes the makespan and total idleness as a bi-objective problem. This optimization problem is an NP-hard one because a large solution space allocated to it. We use a duplicate genetic algorithm (DGA) to solve the problem, which is developed a genetic algorithm procedure. Since the proposed DGA is working based on the GA, it often offers a better solution than the standard GA because it includes the rational and appropriate justification. The proposed DGA is used the useful features and concepts of elitism and local search, simultaneously. It provides local search for the best solution in every generation with the neighborhood structure in several stages and stores them in an external list for reuse as a secondary population of the GA. The performance of the proposed GA is evaluated by a number of numerical experiments. By comparing the results of the DGA other algorithms, we realize that our proposed DGA is efficient and appropriate for solving the given problem.
M. Fallah; S.E. Najafi
Volume 1, Issue 1 , June 2012, , Pages 10-18
Abstract
Evaluating the performance of the different departments in an organization or evaluating and comparing the performance of a single department over different time points may boost the organizational efficiency and the involved industry. Making the most efficient use of the existing resources to realize ...
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Evaluating the performance of the different departments in an organization or evaluating and comparing the performance of a single department over different time points may boost the organizational efficiency and the involved industry. Making the most efficient use of the existing resources to realize all the expected outcomes. Therefore, in their projected plans, the efficiency enhancement specialists have always attempted to measure the existing efficiency of an organization and estimate the room for improvement. A Data Envelopment Analysis (DEA) approach would be an appropriate model to measure efficiency and provide answers to the above questions. In order to estimate the efficiency of a research unit over a period of years, first different indicators were identified and then through a questionnaire their priorities were determined. Finally, using the CCR model the performance efficiency and the ranking of the research center over the years were conducted.
B. Singh Sidhu; V. Kumar; A. Bajaj
Volume 2, Issue 3 , September 2013, , Pages 10-23
Abstract
The global marketplace has witnessed an increased pressure from customers and competitors in manufacturing .In this age of agile manufacturing the global competition characterized by both technology push and market pull had forced the companies to achieve world-class performance through continuous improvement ...
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The global marketplace has witnessed an increased pressure from customers and competitors in manufacturing .In this age of agile manufacturing the global competition characterized by both technology push and market pull had forced the companies to achieve world-class performance through continuous improvement in their products and processes, reduction in cost, reduce wastes, increase quality, increasing of effectiveness, safety increasing, reduction of the pollution, increase decision making power and improved methodology. To want all this changes, there is need to adopt new the management system. In management system there are many types of techniques. The present work is dedicated to study and implement 5S methodology. In this work, proper system will be analyzed to reduce the wastes, reduction in cost, processes, and increase decision making power by implementing 5S techniques. Apart from this, theoretical results compared with original data from industry before and after implementation.
M. Modarres Yazdi; M. Shafiei; S.M. Sahihi Oskooyi
Volume 3, Issue 1 , May 2014, , Pages 11-25
Abstract
Data envelopment analysis (DEA) is a non-parametric analytical methodology widely used in efficiency measurement of decision making units (DMUs). Conventionally, after identifying the efficient frontier, each DMU is compared to this frontier and classified as efficient or inefficient. This thesis introduces ...
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Data envelopment analysis (DEA) is a non-parametric analytical methodology widely used in efficiency measurement of decision making units (DMUs). Conventionally, after identifying the efficient frontier, each DMU is compared to this frontier and classified as efficient or inefficient. This thesis introduces the most productive scale size (MPSS), and anti- most productive scale size (AMPSS), and proposes several models to calculate various distances between DMUs and both frontiers. Specifically, the distances considered in this paper include: (1) both the distance to MPSS and the distance to AMPSS, where the former reveals a unit’s potential opportunity to become a best performer while the latter reveals its potential risk to become a worst performer, and (2) both the closest distance and the farthest distance to frontiers, which may proved different valuable benchmarking information for units. Subsequently, based on these distances, eight efficiency indices are introduced to rank DMUs. Due to different distances adopted in these indices, the efficiency of units can be evaluated from diverse perspectives with different indices employed. In addition, all units can be fully ranked by these indices.
H. Golpira
Volume 2, Issue 1 , February 2013, , Pages 12-19
Abstract
Estimating duration of projects manual tasks is one of the crucial concepts and problems of their management and control. Methods have been used to achieve this estimation are so difficult, time consumer and basically unreliable. In this paper a new method is introduced based on modular arrangement of ...
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Estimating duration of projects manual tasks is one of the crucial concepts and problems of their management and control. Methods have been used to achieve this estimation are so difficult, time consumer and basically unreliable. In this paper a new method is introduced based on modular arrangement of predetermined time standards (MODAPTS) plus method which is the well-known method of work measurement. The method is reliable according to reliability of the MODAPTS method. The method is so easy to use, so quick in application, has rapid derivation of objective standards and its analysis are regarding people and their capacities. Finally, an applicability of the method is illustrated by some general manual sample civil works and the results are shown at the end of the paper.
J. Razmi; D. Haghighi
Volume 3, Issue 2 , May 2014, , Pages 12-23
Abstract
Every organizational entity, whether operated for profit or not, must purchase goods and/or contract for services to meet the needs of its customers, clients, and stakeholders. As a result of the dynamics that occur in this process, the potential for buyer-supplier conflict is extremely high and is in ...
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Every organizational entity, whether operated for profit or not, must purchase goods and/or contract for services to meet the needs of its customers, clients, and stakeholders. As a result of the dynamics that occur in this process, the potential for buyer-supplier conflict is extremely high and is in fact a very common occurrence. Proper identification, assessment, and management of buyer-supplier conflict can lower the cost of conflict and improve the efficiency and effectiveness of an alliance. The costs associated with buyer-supplier conflict include lost productivity, strained relationships, poor resource utilization, and unfulfilled potential of the joint activities undertaken by the buyer and supplier in support of the relationship. This paper applying a methodology, extending the concept of TRIZ (XTriz), to discover supply chain conflict before they occur and cause detrimental effects to system performance. The approach involves specifically focus on extending TRIZ with Root Conflict Analysis, which allows us to extract and map the contradictions arising in supply chain that are the root cause of certain problems. We applied the proposed methodology on new product development (NPD) to illustrate the validity of the tool. Although, further research is needed to fully explore this method of conflict detection, we believe that this research does indeed provide some much needed insight into the daunting task of conflict discovery and therefore proactive handling of these potentially negative occurrences in the supply chain.
S. Khoshfetrat; F. Hosseinzadeh-Lotfi
Volume 3, Issue 4 , December 2014, , Pages 13-20
Abstract
The data envelopment analysis (DEA) is a mathematical programming technique, which is used for evaluating relative efficiency of decision making units (DMUs). However, the DEA does not provide more information about the efficient DMUs. Recently, some researchers have been carried out in the background ...
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The data envelopment analysis (DEA) is a mathematical programming technique, which is used for evaluating relative efficiency of decision making units (DMUs). However, the DEA does not provide more information about the efficient DMUs. Recently, some researchers have been carried out in the background of using DEA models to generate local weights of alternatives from pairwise comparison matrices used in the analytic hierarchy process (AHP). In this paper, an application of a common set of weights is used for determining priorities in the AHP. First, we determine DEA efficient alternatives as DMUs. Then, these alternatives are ranked according to the efficiency score weighted by the common set of weights in the AHP. This application is applied successfully and the result is valid and assured. A numerical example is utilized to illustrate the capability of this procedure.
M. H. Kamfiroozi; A. Bonyadi Naeini
Volume 3, Issue 3 , September 2014, , Pages 13-23
Abstract
An enterprise resource planning (ERP) software can help organizations and firms in their activities like: production planning, purchase, human resource, finance, sales, inventory control and etc. Selection of an ERP is mentioned as a multi-criteria decision making (MCDM) problem. However, several MCDM-models ...
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An enterprise resource planning (ERP) software can help organizations and firms in their activities like: production planning, purchase, human resource, finance, sales, inventory control and etc. Selection of an ERP is mentioned as a multi-criteria decision making (MCDM) problem. However, several MCDM-models are proposed to solve this, but many of them didn't consider uncertainty as an effective environmental factor. In this paper, a new model has designed which used three-parameter interval grey numbers concept that is derived from Grey-theory. These numbers can help for reducing the uncertainty of data. Besides, a combination model for weighting has planned by implementing AHP and Entropy methods that are used in order to reduce uncertainty. And last, a decision making method (Three-parameter grey interval incidence degree method) is used for ranking process. There is a case study at the end of this paper that shows how this model works.
Operations Research
S. K. Das; J. K. Dash
Abstract
Neutrosophic Linear Programming (NLP) issues is presently extensive applications in science and engineering. The primary commitment right now to manage the NLP problem where the coefficients are neutrosophic triangular numbers with blended requirements. The current method [20] are viewed as just imbalance ...
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Neutrosophic Linear Programming (NLP) issues is presently extensive applications in science and engineering. The primary commitment right now to manage the NLP problem where the coefficients are neutrosophic triangular numbers with blended requirements. The current method [20] are viewed as just imbalance limitations. Notwithstanding, in our paper, we consider both blended requirements and utilize another score function to understand the strategy. To determine the progression of the current method, another strategy is proposed for tackling NLP issues. To check the better outcome, we execute various numerical models.
F. Piran; F Hosseinzadeh Lotfi; M. Rostami-Malkhalifeh
Volume 2, Issue 4 , December 2013, , Pages 15-25
Abstract
Data envelopment analysis (DEA) is a non-parametric analytical methodology widely used in efficiency measurement of decision making units (DMUs). Conventionally, after identifying the efficient frontier, each DMU is compared to this frontier and classified as efficient or inefficient. This thesis introduces ...
Read More
Data envelopment analysis (DEA) is a non-parametric analytical methodology widely used in efficiency measurement of decision making units (DMUs). Conventionally, after identifying the efficient frontier, each DMU is compared to this frontier and classified as efficient or inefficient. This thesis introduces the most productive scale size (MPSS), and anti- most productive scale size (AMPSS), and proposes several models to calculate various distances between DMUs and both frontiers. Specifically, the distances considered in this paper include: (1) both the distance to MPSS and the distance to AMPSS, where the former reveals a unit’s potential opportunity to become a best performer while the latter reveals its potential risk to become a worst performer, and (2) both the closest distance and the farthest distance to frontiers, which may proved different valuable benchmarking information for units. Subsequently, based on these distances, eight efficiency indices are introduced to rank DMUs. Due to different distances adopted in these indices, the efficiency of units can be evaluated from diverse perspectives with different indices employed. In addition, all units can be fully ranked by these indices.
Data Envelopment Analysis, DEA
F Hosseinzadeh Lotfi; M. Jahanbakhsh
Abstract
By distinction between efficiency and effectiveness scales, the aim of this paper is to propose a model that can show the differents of efficiency and effectiveness. For this purpose, enveloping form of ICCR model ,has considered to calculate simultaneously the influences of efficiency and effectiveness. ...
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By distinction between efficiency and effectiveness scales, the aim of this paper is to propose a model that can show the differents of efficiency and effectiveness. For this purpose, enveloping form of ICCR model ,has considered to calculate simultaneously the influences of efficiency and effectiveness. this model, is a linear programming model based on Data envelopment analysis (DEA), that combine the input and output oriented CCR model to investigate the efficiency and effectiveness impressed each other ,in a three-stage process. By applying the model on data of 24 bank branches, the result clarify comprehensive view of the performance of the branches that have been substantially three-stage.
M. Barimani; A. Salnazaryan
Volume 2, Issue 2 , June 2013, , Pages 17-34
Abstract
According to Reforms in electricity industry and privatization in Iran, "financial provision sources" is introduced as the most important barrier in enhancing electricity production through renewable energy. In this article by measuring and comparing Marginal Cost and electricity production through every ...
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According to Reforms in electricity industry and privatization in Iran, "financial provision sources" is introduced as the most important barrier in enhancing electricity production through renewable energy. In this article by measuring and comparing Marginal Cost and electricity production through every renewable: Solar Thermal -30MW, Wind -12.5MW and Small Hydropower -1MW with fossilized technology: Steam Power Plant -400MW, Large Gas -300MW, Small Gas Power Plant -50MW and Combined cycle -400MW, suggested tariffs in buying electricity by economical study (providing financial resources – Loan from internal banks). All of the measurements are done in two scenarios: The present position in free mood and the result of directed subsidy and each of these two scenarios is studied through by considering social cost in electricity production. Finally, for supporting the sustainable energy and sustainable development in Iran and also for increasing the renewable energy quota in energy basket, the Government is proposed to encourage private investor for investment in renewable energy production in Iran. All of the measuring in this research is done through COMFAR software.
Manufacturing and Logistics
H. Farsijani; M. Shafiei Nikabadi; S. Keshavarz Dastak
Abstract
In the competitive economy of today, those companies are to succeed that can design efficiently and produce productions that would be preferred by its customers over those of their competitors and Those companies which desire to find for their performance a position in world-class should have the capability ...
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In the competitive economy of today, those companies are to succeed that can design efficiently and produce productions that would be preferred by its customers over those of their competitors and Those companies which desire to find for their performance a position in world-class should have the capability to quickly, efficiently and effectively respond to changes in global markets. So plans must be come up with which may satisfy customers’ needs and lead to highquality products that can compete with other companies. This paper aims at developing the way we can use QFD(quality function deployment) and VA(value analysis) tools both theoretically and in case study. Out of Iranian cars, Pride was chosen because of quality drawbacks it suffers from and then the combining process of QFDVA was applied to its bodywork. Finally, the research hypothesis was analyzed by developing and distributing a questionnaire. SPSS software was used for analyzing the data. Combining QFD and VA in product design obviated one of the executive problems in QFD, i.e., inability of the latter in recognizing all customer needs. The optimal value of the features of product design can be assessed by using the above-mentioned tools. Assessment of these features provides for allocating resources optimally to the recognized functions. One other finding of the research is that using QFDVA in new product design (NPD) improves the competitive status of the company in relation to its competitors in global market through improving designing and, consequently, decreasing the cost, increasing the quality and boosting sales. This paper provides some information for car industry and has some implications for defeating the competitors in the competition ridden market of today.
Game theory
H. A. Khalifa
Abstract
In this paper, a two-person zero-sum matrix game with fuzzy numbers payoff is introduced. Using the fuzzy number comparison introduced by Rouben's method (1991), the fuzzy payoff is converted into the corresponding deterministic payoff. Then, for each player, a linear programming problem is formulated. ...
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In this paper, a two-person zero-sum matrix game with fuzzy numbers payoff is introduced. Using the fuzzy number comparison introduced by Rouben's method (1991), the fuzzy payoff is converted into the corresponding deterministic payoff. Then, for each player, a linear programming problem is formulated. Also, a solution procedure for solving each problem is proposed. Finally, a numerical example is given for illustration.
Reliability and Quality Engineering
S. Raissi; Sh. Ebadi
Abstract
In today's competitive world, preventing from probable breakdowns can be act as a powerful leverage for managers. They are faced with large complex systems. Hence, the realistic estimation of the reliability of such systems has become increasingly important and it is a vital complicated task especially ...
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In today's competitive world, preventing from probable breakdowns can be act as a powerful leverage for managers. They are faced with large complex systems. Hence, the realistic estimation of the reliability of such systems has become increasingly important and it is a vital complicated task especially in the cases where the system configuration is too complicated to present it via a Reliability Block Diagram (RBD). The focus of this research is on the reliability estimation of the complex multi-component systems; each failure mechanism is deployed from a given failure density function. Hence, due to complexity arises from unknown RBD, current research methodology is set based on computer simulation modeling. After investigating the simulation model validity, an example is examined to reveal simulation method advantages. To assess the proposed method, a typical example has also been discussed.
S.V.S. Raja Prasad; Y.V.S.S.S.V. Prasad Rao
Volume 1, Issue 3 , December 2012, , Pages 26-38
Abstract
It is not possible to eliminate the workplace emergencies but can be mitigated by effective planning. In all the construction organizations the possibility of facing emergencies is common. The objective of emergency management is to minimize losses that result out of emergencies. The employees in construction ...
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It is not possible to eliminate the workplace emergencies but can be mitigated by effective planning. In all the construction organizations the possibility of facing emergencies is common. The objective of emergency management is to minimize losses that result out of emergencies. The employees in construction organizations are susceptible various workplace emergencies like fire, explosion, collapse of a structure/excavated side walls, scaffolding and tower cranes etc.. Site-specific emergency plan is to be prepared to prevent emergencies in construction organizations. The emergency preparedness plan must comprise of identifying probable emergencies and how to respond to emergency situation so as to minimize the total response time of employees to report to emergency assembly point. In most of the construction organizations in India are following conventional methods instead of implementing scientific techniques in emergency planning particularly while earmarking emergency assembling points and also allocation employees to assembly points resulting into wastage of time, damage to employees and property. A study was conducted in a construction organization involved in construction of 2*660MW thermal power plant in India by using combination of optimization techniques like shortest route algorithm for identifying optimal paths and depending on the capacities of assembly points ,the employees are allocated to different assembly points by using transportation model .In a case of a major emergency, the minimal spanning tree technique is used to identify the shortest route for a specific assembly point.
Industrial Management
M. A. Ejigu
Abstract
In countries like Ethiopia, the textile industries are facing a big problem of sound noise pollution. In these countries, the industrial hearing conservation program is not yet clearly developed. Thus, characterizing excessive noise pollutions in textile industries have been the aim of this research ...
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In countries like Ethiopia, the textile industries are facing a big problem of sound noise pollution. In these countries, the industrial hearing conservation program is not yet clearly developed. Thus, characterizing excessive noise pollutions in textile industries have been the aim of this research project and Kombolcha Textile Mill (KTM) is chosen as the case study. The study is concerned with the noise exposure and its characteristics at the different section of the Textile Mill. Before the actual excessive noise level measurements were collected in the Textile Mill, main areas where measurements were done had to be identified. This was done by prior physical observation and A-Weighted time-averaged sound pressure levels (L_Aeq) survey. More than one hundred walkthrough measurement points were done inside the textile mill. These data were analyzed using MATLAB software packages. Based on our analysis, the spinning and the weaving sections of the mills with its unit processes were identified as potential noise pollution in the factory. On these sections, the measurements were done for 4 – 5 h/d. The instrument used for measurements was a precision integrated portable professional sound level meter. The findings revealed that the KTM employees are working in hazardous environments of above 90 dB, which is the recommended safe limit of noise in the working environment for 8 h used in international standard. As a result an engineering and administration programs which includes different methods of how to control the problem has been recommended for conserving hearing at the KTM.
Total quality management and quality engineering
H. Zandhessami; A. Rahgozar
Abstract
The organization can fully benefit from efforts to improve quality through programs such as total quality management. Just-in-time and total quality management combine to support the successful implementation of agile manufacturing programs which, in turn, result in the organization’s ability to ...
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The organization can fully benefit from efforts to improve quality through programs such as total quality management. Just-in-time and total quality management combine to support the successful implementation of agile manufacturing programs which, in turn, result in the organization’s ability to respond rapidly and aggressively to changes in customer demand. We contend that adoption of a market orientation combined with just in time, total quality management, and agile manufacturing programs leads to organizational capabilities of relatively low cost operation, high quality product and service production, and rapid response to changes in customer needs and demand. While studies on total quality management implementation appear to focus on identifying the role of total quality management practices on organizational success, total quality management practices are still directed from within the organization. Market orientation, however, requires more external engagement and shares the same ultimate aim as total quality management implementations.
Case studies in industry and services
T. Ahmed; N. Sakib; R. M. Hridoy; A. T. Shams
Abstract
This project is a case study conducted in a manufacturing company aiming at improving its productivity using line balancing techniques. Waste reduction, especially the time waste, is an important factor to shrink the manufacturing cost. The main purpose of this project is to suggest a better line balancing ...
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This project is a case study conducted in a manufacturing company aiming at improving its productivity using line balancing techniques. Waste reduction, especially the time waste, is an important factor to shrink the manufacturing cost. The main purpose of this project is to suggest a better line balancing approach with an aim of reducing the idle time, work station number, and manpower requirement while improving the efficiency to meet the target production in the apparel manufacturing organization. For accomplishing the purpose, different line balancing methods named Largest Candidate Rule, Kilbridge & Wester method, and Ranked Positional Weight method carried out for analyzing the line efficiency, production rate, work station number, manpower requirement, and time utilization. Finally, an efficient and balanced line were proposed with respect to the auspicious outcome of the production area. Also, by using the line balancing techniques, a new sequence of work has been developed to arrange the work elements into the workstation. Some optimum layout has been proposed that has minimized the idle time and manpower requirement.
Forecasting, production planning, and control
A. Esmaili Dooki; p. Bolhasani; A. Alam Tabriz
Abstract
Nowadays the Resource Constrained Project Scheduling Problem (RCPSP) has triggered a substantially significant issue among scheduling problems. The purpose of RCPSP is minimizing the duration of the projects due to both limited available resources and precedence constraints. Indeed, it attempts to consume ...
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Nowadays the Resource Constrained Project Scheduling Problem (RCPSP) has triggered a substantially significant issue among scheduling problems. The purpose of RCPSP is minimizing the duration of the projects due to both limited available resources and precedence constraints. Indeed, it attempts to consume the total resources by finding the best duration for each activity. This paper proposes a new multi-objective mathematical model for multi-mode RCPSP with interruption to minimize the completion time of the project, maximize the Net Present Value (NPV) of the project, and minimize the allocating workforce’s costs to perform required skills of all activities. To solve the proposed model, an efficient method based on Me measure is used to cope with the uncertainties, and TH method is utilized to convert the multi-objective method into the single one. Furthermore, this paper presents a novel hybrid meta-heuristic algorithm based on Imperialist Competitive Algorithms (ICA) named Self-Adaptive Imperialist Competitive Algorithm (SAICA) to solve the mathematical model which has never been used to solve this type of problems before. Also, to evaluate the proposed method, its performance is investigated against some meta-heuristic algorithms: Differential Evolution (DE) and Imperialist Competitive Algorithm (ICA). Then, a numerical example, two case studies and a real case study have been carried out to embody both validity and efficiency of the presented approach. The obtained results embody that the proposed SAICA is more effective and practical in comparison with DE, ICA, and BCO in decreasing the project duration and also, the considerable effect on solutions confirms the quality of the proposed method.
Data Envelopment Analysis, DEA
Z. Taeb; F. Hosseinzadeh Lotfi; S. Abbasbandy
Abstract
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. ...
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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.
Computational Intelligence
Mobasshira Zaman
Abstract
This research paper presents a comprehensive SWOT analysis of ChatGPT in healthcare, examining its strengths, weaknesses, opportunities, and threats. The paper highlights the potential benefits of ChatGPT, such as improved patient engagement and support for medical education, as well as its limitations, ...
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This research paper presents a comprehensive SWOT analysis of ChatGPT in healthcare, examining its strengths, weaknesses, opportunities, and threats. The paper highlights the potential benefits of ChatGPT, such as improved patient engagement and support for medical education, as well as its limitations, including the risk of inaccurate data and inability to summarize non-text reports. The paper also identifies opportunities for ChatGPT, such as enabling personalized healthcare delivery and supporting remote patient monitoring. However, the paper also highlights potential threats, such as self-treatment among patients and the risk of an AI-driven infodemic. The significance of this research paper lies in its valuable insights into the ethical and safe use of ChatGPT in healthcare, providing healthcare professionals and policymakers with important considerations for its use. The SWOT analysis also serves as a framework for future research and development of ChatGPT and other large language models in healthcare. This research paper is a significant contribution to the ongoing discussion on the use of ChatGPT in healthcare and its potential impact on patient care and public health.
Azad Abbasi
Abstract
In today's business landscape, the concept of the supply chain has gained significant prominence. An efficient supply chain is essential for guiding a business in an organized manner. This importance extends to supermarkets, where effective supply chain management necessitates improved communication ...
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In today's business landscape, the concept of the supply chain has gained significant prominence. An efficient supply chain is essential for guiding a business in an organized manner. This importance extends to supermarkets, where effective supply chain management necessitates improved communication with suppliers, customers, and internal management. Each facet of the supply chain plays a pivotal role in its own right. This study aims to investigate the crucial factors within the supermarket supply chain, drawing insights from existing literature and input from supply chain experts. The objective is to construct a framework that prioritizes these factors, considering each facet of the supply chain and arranging them from most to least critical. This research focuses on the analysis of a specific supermarket in Bangladesh, namely Save 'n' Safe, utilizing the FAHP methodology, a Multi-Criteria Decision-Making (MCDM) tool, to identify the most influential factors. The findings highlight that inventory management, internal information sharing, and accurate demand forecasting are the key determinants for Save 'n' Safe, a supermarket. Furthermore, the paper offers recommendations to enhance the current supply chain situation. The implications of this study extend not only to other supermarkets but also to various retail and grocery stores.