Industrial Engineering And Operations Research Pdf
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- Operations Research (MR)
- Journal of Industrial Engineering and Management
- Bachelor of Science in Industrial Engineering - Operations Research
Operations research British English : operational research OR is a discipline that deals with the application of advanced analytical methods to help make better decisions. Operational analysis forms part of the Combined Operational Effectiveness and Investment Appraisals, which support British defence capability acquisition decision-making. It is sometimes considered to be a sub-field of mathematical sciences.
Operations Research (MR)
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In this regard, health centers have become the most expensive unit of the health system as they provide quick and timely health care services to reduce the effects of unexpected accidents.
So, their planning and preparation Read More Communities are constantly seeking to manage the damages which are caused by crises. So, their planning and preparation should be considered as an important part of strategic health policies. The purpose of this study is to investigate performance evaluation techniques for health units, which is helpful for WHO to identify the capabilities of crisis management and the limitations of world health units.
This study evaluates the performance of the world health systems dealing with Corona-virus based on parametric and nonparametric statistical techniques according to "Population, GPD Per Capita, Total Recovered, Total Cases, and Total Deaths". Based on the results, the efficient and inefficient health system units are identified.
The results of this study show that 52 medical centers have not performed efficiently. The average efficiency of inefficient units is 0. On this basis, most of the studied countries do not operate efficiently due to the lack of optimal use of resources.
Ineffective health system units call for greater attention of WHO in promoting health culture during the crisis management of common viruses. By conducting this research, in addition to the introduction of functional patterns to the top health managers, it is possible to plan more accurately to develop the capacity of health care services and save resources.
Therefore, managing and scheduling a project is a necessity for the project. The timing of a project is to specify a sequence of times for a series of related activities. Read More Today's competitive conditions have caused the projects to be carried out in the least possible time with limited resources. According to their priority and their latency, so that between the time the project is completed and the total cost is balanced. Given the balance between time and cost, and to achieve these goals, there are several options that should be considered among existing options and ultimately the best option to perform activities to complete the project.
In this research, a mathematical model of project scheduling with multiple goals based on cost patterns and consideration of resource constraints is presented, and this problem is considered as a problem for NP-hard issues in family hybrid optimization. Thus, a bi-objective bi-modal optimization model for road pricing is developed aiming to enhance environmental and social sustainability Thus, a bi-objective bi-modal optimization model for road pricing is developed aiming to enhance environmental and social sustainability by considering to minimize the air pollution and maximize the social welfare as its objectives.
This model determines optimal prices bus fare and car toll and optimal bus frequency simultaneously in an integrated model. Therefore, this paper design an integrated multi-period bi-objective biofuel supply chain network using support vector machine SVM and economic analysis to reduce the cost of generating biofuels and CO Read More Using second-generation biomass and biofuel deal with environmental pollution and CO2 emissions. Therefore, this paper design an integrated multi-period bi-objective biofuel supply chain network using support vector machine SVM and economic analysis to reduce the cost of generating biofuels and CO2 emissions.
The economic analysis consists of three scenarios for supplying biomass. The SVM method specifies the potential place to build the bio-refinery. Finally, results show that biomass production and imports simultaneously reduce costs by According to the results obtained, despite the increase in cost, it reduces the amount of CO2 emissions. Human resource assignment to project activities for its scheduling is one of the most real and common issues in project management and scheduling.
This becomes even more significant when human Read More One of the most important aspects of human resource management is the allocation of the workforce to activities. This becomes even more significant when human resource assignment to multiple projects simultaneously is considered. On the one hand, workforces can have multi skills due to technological and scientific development so that they can be assigned to project activities based on their skill level.
On the other hand, the learning effect is also taken into account to make the model more realistic. These factors can affect completion time, total cost and execution quality of projects. In this study, a multi-objective optimization model for multi-project scheduling and multi-skilled human resource assignment problem based on the learning effect and activities' quality is presented. Managers can select a solution based on their priority.
Finally, a sensitivity analysis is done on the learning and forgetting effect to investigate their impacts on each objective function. Despite the undeniable benefits of the developments, some unwelcome social-environmental damages have been occurred. On top of the list, the movements of the pedestrians and their participation Read More Fast growth of motorized transportation infrastructures in the cities is a consequence of the urbanization process. On top of the list, the movements of the pedestrians and their participation in social activities have dramatically reduced as a result of the vehicles dominancy.
Pedestrianization and walking-friendly schemes are the key answer to preserve the valuable element of the urban lifestyle. This need motivated the researchers to study and propose mathematical methods to model the dynamics and behavior of the pedestrians in response to their surroundings. However, most of the models in the literature are suitable for limited small-size area and cannot be applied for a large scale urban zone.
In this paper, a fuzzy macroscopic pedestrian assignment model is proposed which is applicable for a large scale network and useful for urban master plans as a decision making framework. In addition, a bi-level mixed integer programming model is presented to optimize the pedestrian walking network via selecting some projects on the network, considering the behavior of the pedestrians.
Finally, the problem is solved for a large scale pedestrian network in the city of Tehran. The results show the efficiency of the algorithm where spending half of the maximum possible cost has led to a welfare gain of The problem was efficiently solved within The numerical results verify the necessity of the model for urban master plan horizon.
We considered the airline network with the arc capacitated single hub location problem based on complete—star Read More This paper introduces a two stage stochastic programming to address strategic hub location decisions and tactical flight routes decisions for various customer classes considering uncertainty in demands. We considered the airline network with the arc capacitated single hub location problem based on complete—star p-hub network.
In fact, the flight routes are allowed to stop at most two different hubs. The first stage of the model strategic level determines the network configuration, which does not change in a short space of time. The second stage is dedicated to specify a service network consists of determining the flight routes and providing booking limits for all itineraries and fare classes after realization of uncertain scenarios.
Since airline transportation networks may face different disruptions in both airport hubs and communication links for example due to the severe weather , proposed model controls the minimum reliability for the network structure. Due to the computational complexity of the resulted model, a hybrid algorithm improved by a caching technique based on genetic operators is provided to find a near optimal solution for the problem.
Numerical experiments are carried out on the Turkish network data set. The performance of the solutions obtained by the proposed algorithm is compared with the pure GA and Particle Swarm Optimization PSO in terms of the computational time requirements and solution quality. The objective of this study was to assess the performance of supply chains and management in the hospitality. Read More In this study, the relationship between supply chain management functions, supply chain performance, competitive advantage, and organizational performance in the hospitality were investigated.
For this purpose, a model consisting of 4 variables and 5 hypotheses was created. The statistical population of this study included all administrative staff of the 4 and 5-star hotels in Tehran. Sampling among senior and middle managers was done randomly. A total of samples were collected and the designed model was tested using a structural equation approach. All study hypotheses were approved.
The results indicated that using the dimensions of the supply chain management function, we can observe the positive and comprehensive impact of these factors on organizational performance, supply chain performance, and competitive advantage. In addition, supply chain performance and competitive advantage were found to have a positive and significant effect on organizational performance.
Series hybrid methodology is one of the most widely-used hybrid approaches that has encountered a great amount Read More With the increasing importance of forecasting with the utmost degree of accuracy, utilizing hybrid frameworks become a must for obtaining more accurate and more reliable forecasting results.
Series hybrid methodology is one of the most widely-used hybrid approaches that has encountered a great amount of popularity in the literature of time series forecasting and has been applied successfully in a wide variety of domains. In such hybrid methods is assumed that there is an additive relationship among different components of time series.
Journal of Industrial Engineering and Management
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Subject areas include, but are not limited to:. For a full list of topics, please click here. The Current Issue:. The Next Issue:. The author should use plagiarism checkers to make sure the submitted manuscript is original and satisfies the defined limit. Publisher: Iran Center for Management Studies. Mehdi Seyyed Esfahani.
PDF | On Jan 1, , A. H. S. Chan and others published Advances in industrial engineering and operations research | Find, read and cite all the research you.
Bachelor of Science in Industrial Engineering - Operations Research
This book series provides a means for the dissemination of current theoretical and applied research in the areas of Industrial Engineering and Engineering Management. The latest methodological and computational advances that can be widely applied by both researchers and practitioners to solve new and classical problems in industries and organizations contribute to a growing source of publications written for and by our readership. The aim of this book series is to facilitate the dissemination of current research in the following topics:. It covers a range of topic areas, including civil …. It covers a range of project, programme and portfolio management contexts, with the general aim of ….
It seems that you're in Germany. We have a dedicated site for Germany. This volume addresses manufacturing processes and methods, optimization, experimental engineering design, and reliability and quality control techniques, as well as other topics, including:.
Evaluating the effect of sensor limitations in flight vision systems on pilot performance , Ramanathan Annamalai. A theoretical and experimental study of geometry, microstructure and mechanical properties of L stainless steel manufactured by direct energy deposition-based hybrid manufacturing , Ali Baghersaghchi Khorasani. Root structure design for hybrid manufacturing of multi-material structures , Logan Beguhn.