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Dissertations / Theses on the topic 'Scheduling objectives'

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Published: 4 June 2021

Last updated: 16 February 2022

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1

Yang, Jaehwan. "Scheduling with batch objectives /." The Ohio State University, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487952208107258.

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2

Huaccho, Huatuco Luisa Delfa. "The role of rescheduling in managing manufacturing systems' complexity." Thesis, University of Oxford, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275307.

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3

Mundt, Andreas, and Thomas Wich. "Single Machine Scheduling with Tardiness Involved Objectives : A Survey." Thesis, Linköping University, Department of Mathematics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8628.

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<p>This thesis contributes to theoretical and quantitative aspects of machine scheduling. In fact, it is dedicated to the issue of scheduling n jobs on one single machine. The scope is limited to deterministic problems - i.e. those with all data available and known with certainty in advance - with tardiness involved objectives; hence, the common denominator of all problems addressed are jobs with a predetermined due date assigned to. A job is finished on time as long as it is completed before its due date, otherwise it is said to be tardy. Since the single machine utilized is assumed to be res

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4

Berry, Pauline M. "A predictive model for satisfying conflicting objectives in scheduling problems." Thesis, University of Strathclyde, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332064.

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5

Aguilar-Soto, Armando. "Fixed-priority scheduling algorithms with multiple objectives in hard real-time systems." Thesis, University of York, 2006. http://etheses.whiterose.ac.uk/11057/.

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In the context ofFixed-Priority Scheduling in Real-Time Systems, we investigate scheduling mechanisms for supporting systems where, in addition to timing constraints, their performance with respect to additional QoS requirements must be improved. This'type of situation may occur when the worst-case res~urce requirements of all or some running tasks cannot be simultaneously met due to task contention. . Solutions to these problems have been proposed in the context of both fixed-priority and dynamic-priority scheduling. In fixed-priority scheduling, the typical approach is to artificially modify

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Xie, Wenbin. "Metaheuristics for single and multiple objectives production scheduling for the capital goods industry." Thesis, University of Newcastle Upon Tyne, 2011. http://hdl.handle.net/10443/1261.

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In the capital goods industry, companies produce plant and machinery that is used to produce consumer products or commodities such as electricity or gas. Typical products produced in these companies include steam turbines, large boilers and oil rigs. Scheduling of these products is difficult due to the complexity of the product structure, which involves many levels of assembly and long complex routings of many operations which are operated in multiple machines. There are also many scheduling constraints such as machine capacity as well as operation and assembly precedence relationships. Produc

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Gama, Pinheiro Vinicius. "The management of multiple submissions in parallel systems : the fair scheduling approach." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENM042/document.

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Le problème étudié est celui de l'ordonnancement d'applications dans lessystèmes parallèles et distribués avec plusieurs utilisateurs. Les nouvellesplates-formes de calcul parallèle et distribué offrent des puissances trèsgrandes qui permettent d'envisager la résolution d'applications complexesinteractives. Aujourd'hui, il reste encore difficile d'utiliser efficacementcette puissance par manque d'outils de gestion de ressources. Le travaileffectué dans cette thèse se place dans cette perspective d'analyser etdévelopper des algorithmes efficaces pour gérer efficacement des ressources decalcul p

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8

Trivedi, Manas. "Multi-objective generation scheduling with hybrid energy resources." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1202498690/.

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9

Shaw, Katherine Jane. "Using genetic algorithms for practical multi-objective production schedule optimisation." Thesis, University of Sheffield, 1997. http://etheses.whiterose.ac.uk/14767/.

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Production scheduling is a notoriously difficult problem. Manufacturing environments contain complex, time-critical processes, which create highly constrained scheduling problems. Genetic algorithms (GAs) are optimisation tools based on the principles of evolution. They can tackle problems that are mathematically complex, or even impossible to solve by traditional methods. They allow problem-specific implementation, so that the user can develop a technique that suits the situation, whilst still providing satisfactory schedule optimisation performance. This work tests GA optimisation on a real-

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10

Metta, Haritha. "ADAPTIVE, MULTI-OBJECTIVE JOB SHOP SCHEDULING USING GENETIC ALGORITHMS." UKnowledge, 2008. http://uknowledge.uky.edu/gradschool_theses/518.

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This research proposes a method to solve the adaptive, multi-objective job shop scheduling problem. Adaptive scheduling is necessary to deal with internal and external disruptions faced in real life manufacturing environments. Minimizing the mean tardiness for jobs to effectively meet customer due date requirements and minimizing mean flow time to reduce the lead time jobs spend in the system are optimized simultaneously. An asexual reproduction genetic algorithm with multiple mutation strategies is developed to solve the multi-objective optimization problem. The model is tested for single day

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11

Srivastav, Abhinav. "Sur les aspects théoriques et pratiques des compromis dans les problèmes d'allocation des ressources." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAM009/document.

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Le contenu de cette thèse est divisé en deux parties. La première partie de cette thèse porte sur l'étude d'approches heuristiques pour approximer des fronts de Pareto. Nous proposons un nouvel algorithme de recherche locale pour résoudre des problèmes d'optimisation combinatoire. Cette technique est intégrée dans un modèle opérationnel générique où l'algorithme évolue vers de nouvelles solutions formées en combinant des solutions trouvées dans les étapes précédentes. Cette méthode améliore les algorithmes de recherche locale existants pour résoudre le problème d'assignation quadratique bi- et

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12

El-Sayed, Jacqueline Johnson. "Multi-objective optimization of manufacturing processes design /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9841282.

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13

Gabaldon, Ponsa Eloi. "Meta-Heuristics for Scheduling in Cluster Federated Environments." Doctoral thesis, Universitat de Lleida, 2018. http://hdl.handle.net/10803/462072.

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Avui en dia, moltes organitzacions, empreses o universitats han anat acumulant, durant anys, un gran nombre de recursos computacionals agrupats en clústers. Els Entorns Clúster Federats sorgeixen com una nova arquitectura amb l’objectiu d’unir tots aquests recursos, augmentant la capacitat de còmput global de l’organització sense haver de fer una gran inversió econòmica. No obstant això, l’elevat nombre de màquines i recursos computacionals, comporten un gran consum energètic. A causa de les connotacions econòmiques i sostenibles que això implica, recentment s’ha obert una nova línia d’

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14

Cowling, Peter I., N. J. Colledge, Keshav P. Dahal, and Stephen M. Remde. "The trade off between diversity and quality for multi-objective workforce scheduling." Springer-Verlag, 2006. http://hdl.handle.net/10454/2511.

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In this paper we investigate and compare multi-objective and weighted single objective approaches to a real world workforce scheduling problem. For this difficult problem we consider the trade off in solution quality versus population diversity, for different sets of fixed objective weights. Our real-world workforce scheduling problem consists of assigning resources with the appropriate skills to geographically dispersed task locations while satisfying time window constraints. The problem is NP-Hard and contains the Resource Constrained Project Scheduling Problem (RCPSP) as a sub proble

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15

Chong, Gregory Chow Ye. "Trajectory-scheduling control systems and their multi-objective design automation." Thesis, University of Glasgow, 2006. http://theses.gla.ac.uk/3728/.

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This thesis encompasses the analysis of TSN systems and their multi-objective design methods. TSN nodes are networked through interpolation and activation, similar to a gain-scheduling or local model/controller network. However, to achieve accuracy and ease of commissioning without requiring a large number of nodes, an algorithm has been developed first to identify optimum transition nodes within the entire operating envelope. Then the TSN approaches a nonlinear plant globally, not just locally, without requiring linearization. If desired or necessary, global optimisation provides an enhanceme

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16

Garbett, Kay Susan. "Multi-objective scheduling and control of a nonlinear automotive powertrain." Thesis, University of Warwick, 1991. http://wrap.warwick.ac.uk/108907/.

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The automotive industry is faced with the challenge of ever-increasing emission legislation. This study demonstrates the effective use of nonlinear techniques in automotive control for the problem of fuel and emission minimisation. A review of previous work highlights the inadequacy of traditional optimisation formulations. The conflicting requirements of both low fuel and emissions is a design problem for which compromise and trade-offs are unavoidable. This study attacks the problem through powertrain scheduling, an approach ideally suited to both S.I. and diesel engines, and demonstrates h

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17

Hallström, Eric, and Sasha Hellstenius. "A Multi-Objective Comparison of Resource Restriction Strategies in Checkout Queue Scheduling." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208477.

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This paper deals with the comparison of how restrictions on resources affect the performance of task scheduling in light of a multi-criterion minimization of summarized flowtime and makespan. In order to investigate the performance of three different resource restriction strategies a simulation of the task scheduling problem was created and analyzed. The results were compared by examining the mean and variance of summarized flowtime and makespan. This paper shows that restrictions on resources affects the performance of summarized flowtime and makespan. One conclusion that can be drawn from th

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18

Padrón, Astorga Silvia. "A multi-objective optimization approach to the ground handling scheduling problem." Doctoral thesis, Universitat Autònoma de Barcelona, 2014. http://hdl.handle.net/10803/284947.

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El tiempo de escala o turnaround es uno de los procesos aeroportuarios más críticos y se define como el período de tiempo en que la aeronave está en rampa, entre un vuelo de llegada y uno de salida. Durante el turnaround se realizan un conjunto de operaciones necesarias para preparar un avión para el próximo vuelo. Estas tareas son interdependientes y cada operación es una potencial fuente de demoras para el resto de las actividades, así como para otros procesos dentro del aeropuerto. Además, las decisiones de planificación que se toman para cada operación afectan la programación de otras tare

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19

Alsheddy, Abdullah. "Empowerment scheduling : a multi-objective optimization approach using guided local search." Thesis, University of Essex, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542331.

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20

Braekers, Kris, Richard F. Hartl, Sophie Parragh, and Fabien Tricoire. "A bi-objective home care scheduling problem: Analyzing the trade-off between costs and client inconvenience." Elsevier, 2016. http://dx.doi.org/10.1016/j.ejor.2015.07.028.

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Organizations providing home care services are inclined to optimize their activities in order to meet the constantly increasing demand for home care. In this context, home care providers are confronted with multiple, often conflicting, objectives such as minimizing their operating costs while maximizing the service level offered to their clients by taking into account their preferences. This paper is the first to shed some light on the trade-off relationship between these two objectives by modeling the home care routing and scheduling problem as a bi-objective problem. The proposed model

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21

Grobler, Jacomine. "Particle swarm optimization and differential evolution for multi-objective multiple machine scheduling." Diss., Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-05062009-164124/.

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22

Kim, Hyun Soo. "Bat Intelligent Hunting Optimization with Application to Multiprocessor Scheduling." Case Western Reserve University School of Graduate Studies / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1274471808.

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23

Xiao, Lijian. "The Course Scheduling Problem with Room Considerations." Wright State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright162186801109714.

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24

Mahdavi, Roshanak. "An Adjustable Robust Optimization Approach to Multi-objective Personnel Scheduling Under Uncertain Demand: A Case Study at a Pathology Department." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40977.

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In this thesis, we address a multi-objective personnel scheduling problem where personnel’s workload is uncertain and propose a two-stage robust modelling approach with demand uncertainty. In the first stage, we model a multi-objective personnel scheduling problem without incorporating demand coverage and, in the second stage, we minimize over or under-staffing after the realization of the demand and the assignments from the first stage. Two solution approaches are introduced for this model. The first approach solves the proposed model through a cutting plane strategy known as Benders dual cut

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25

Muteba, Kande Joel. "Multi-Objective Heterogeneous Multi-Asset Collection Scheduling Optimization with High-Level Information Fusion." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42557.

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Surveillance of areas of interest through image acquisition is becoming increasingly essential for intelligence services. Several types of platforms equipped with sensors are used to collect good quality images of the areas to be monitored. The evolution of this field has different levels: some studies are only based on improving the quality of the images acquired through sensors, others on the efficiency of platforms such as satellites, aircraft and vessels which will navigate the areas of interest and yet others are based on the optimization of the trajectory of these platforms. Apart from t

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26

Fu, Yu-Fan, and 傅玉璠. "Driver Scheduling for Oil Distribution Center with Multiple Objectives." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/85658994449271081196.

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碩士<br>華梵大學<br>工業工程與經營資訊學系碩士班<br>94<br>It has been a long history on the study of crew scheduling issue, these include airline crew scheduling、bus driver scheduling、railway driver scheduling and service personnel scheduling, etc. Crew scheduling problem belongs to integer programming problem, it is also combinational optimization problem because time spent on achieving a solution usually increases exponentially as the variables in a problem increase, it is so-called NP-hard problem. This research is focusing on the driver scheduling problem of oil distribution, driver scheduling with multi-obje

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27

Chang, shin-wen, and 張馨文. "A Research of Two Objectives Scheduling with Family Setup." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/93099460641880203234.

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碩士<br>國立雲林科技大學<br>工業工程與管理研究所碩士班<br>102<br>This paper uses A-team to investigate scheduling machine to optimize a population of solutions on single machine with family setup times. The multiple objectives consider two objectives which are minimizing Total completion time and minimizing total tardiness time. When we use A-team to optimize a population of solutions on single machine, the A-team system will give us the solutions much more faster than other method

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Ho, Chien-Yi, and 何阡邑. "Scheduling in Multi-Product Assembly Lines with Multiple Objectives." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/46359489839647302064.

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碩士<br>明志科技大學<br>工業工程與管理系碩士班<br>102<br>Flexible production scheduling in the assembly lines is useful for meeting the production due dates and reducing the production costs. This research considers the problem of scheduling multiple products on 2 or more assembly lines when multiple objectives exist. The specific objectives are to reduce the production changeovers and minimize overtime cost with the restrictions on production demands, due dates, setup time, and limited testing spaces. The system model derives from a real case of a company producing point of sale systems and a mixed integer prog

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Tang, Kuo-Lin, and 唐國霖. "On Multiple Objectives Overlapping Production Scheduling: An Ant Colony Approach." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/91760371702874826380.

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碩士<br>輔仁大學<br>管理學研究所<br>93<br>In realistic, complex manufacturing systems, the use of operation research techniques to formulate a mathematical model to schedule an operational sequence is probably difficult because of complexity and variation. This study presents an ant colony optimization (ACO) heuristic for establishing an effective and simple mechanism to solve the problem of scheduling associated with overlap manufacturing operations. Network structuring and recursive calculation methods were used to determine the mechanism. In the proposed approach, the scheduling mechanism and ACO heuri

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Lin, Che-Yi, and 林哲儀. "Integrated Production Scheduling Study in Different Operation Objectives and Constraints." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/67264773866131186266.

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碩士<br>龍華科技大學<br>商學與管理研究所碩士班<br>93<br>Owing to the rapid changing of competitive environment and consumer’s need, enterprise must improve product quality and after sale service at any time. In the meantime, enterprise must construct quick response required alternation model, and change existent operational method and order so as to quickly but effectively response this situation. Most of the researches of scheduling problem only aim directly at single objective which leads optimal solution or best scheduling order. In fact, for enterprise, the schedule of the production flow must consider many

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31

Chou, Yeh Shan, and 周業珊. "A multi-objectives and multi-criteria scheduling model for emergency physician." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/80029617515308496301.

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碩士<br>長庚大學<br>資訊管理學系<br>99<br>To provide a comprehensive service, emergency room is a unique medical unit that requires a schedule of shift within which enough doctors shall be assigned properly to each time slot on the table. What is the proper scheduling depends on its fitness of regulations, on whether it satisfies individual doctor’s preference or not, and on its fairness. Since the rotation of the emergency room schedule takes a rather special form due to the fact that the working time of emergency room doctors is different from that of normal clinic doctors, the key of such a scheduling

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32

吳宗益. "A Tabu search approach for flow shop scheduling with multiple objectives." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/48741004992013558140.

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33

CHUN, CHEN YI, and 陳怡均. "On multiple objectives overlapping production scheduling – ant colony optimization with steps counter." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/49166440987647463017.

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碩士<br>輔仁大學<br>管理學研究所<br>97<br>Job shop production system is a usual production system in the real business world. The complicated of this system let the mathematics planning program takes lots of time and hard to find the answer. Therefore, scholars try to develop other kinds of heuristic methods to reduce solving time and get approximate best solution. Ant colony optimization had been proven that it had better performance with efficiency and effectiveness than every different kind of heuristic methods. Ant colony optimization has been improved continuously to make the performance better in th

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Lee, Pei-Fang, and 李佩芳. "A Weighting Approach for Scheduling Multi-product Assembly Line with Multiple Objectives." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/11272614325148763214.

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碩士<br>明志科技大學<br>工業工程與管理研究所<br>101<br>A flexible production scheduling in the assembly line is helpful for meeting the production demands and reducing the production costs. This research considers the problem of scheduling multiple products on a single assembly line when multiple objectives exist. The specific objectives are to reduce the production changeovers and minimize overtime cost with the restrictions on production demands, due dates, and limited testing space. This system model derives from a real case of a company producing point of sale systems and a mixed integer programming model i

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Wang, Yu-Po, and 汪玉柏. "An Application of Genetic Algorithm for Scheduling in Flowshop with Multiple Objectives." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/79321303256914286053.

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36

Boyland, Mark. "Simulation and optimization techniques for incorporating ecological objectives into forest harvest scheduling." Thesis, 2003. http://hdl.handle.net/2429/14954.

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Including ecological objectives within strategic planning on forested lands is important because timber harvesting can reduce the value of these objectives. Harvesting is a valuable source of economic revenue, but changes the age-class structure of the forest, often significantly reducing the amount of late-seral stands. Late-seral stands help meet a wide variety of objectives, such as biodiversity, water quality, and, recreation. From an economic perspective, proper management of late-seral stands often is necessary to acquire "social license" for continued harvesting operations. Most

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Li, Meng-Feng, and 李孟峰. "On Multiple Objectives Production Scheduling – Including Regular and Non-regular Performance Measures." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/54732487292640253182.

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碩士<br>輔仁大學<br>管理學研究所<br>93<br>An excellent operations scheduling can reduces production cost by arranging the orders. To consider multiple objectives production scheduling can fulfill the complexity requirement of management. So, to consider multiple objectives production scheduling is necessary. The performance measure including regular and non-regular, it can be use to measure scheduling. In the past, almost scholars consider regular performance measure in scheduling problems. Recently, since the concept of JIT (Just In Time) had taken into consideration, so to consider both regular and

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Lin, Shui-Geng, and 林水耕. "An Application of Hybrid Genetic Algorithm for Scheduling in Flowshop with Multiple Objectives." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/13665141726091404760.

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碩士<br>元智大學<br>工業工程研究所<br>89<br>The objectives are competitive in solving the multi-objective scheduling problem. Supposing that we just concentrate on searching the optimal schedule with respect to one of the objectives, it leads to the loss of the other objectives. And the optimal schedule of the specified objective is always a local optimum to the multi-objective scheduling problem. As for how to achieve the global optimization is a really hard problem. Conventionally, for lowering the complexity, multi-objective problems are transformed into single objective problem through linear combinati

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許民聖. "An application of simulated annealing algorithm for scheduling in flowshop with multiple objectives." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/86024497443360706107.

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Zhi, Zhong Cheng, and 鍾承志. "Multiple Objectives, Job Shop, Parallel-Machine Scheduling-Applying the Ant Colony Optimization Algorithm." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/86285044016953575449.

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碩士<br>東海大學<br>工業工程與經營資訊學系<br>92<br>It was to regard single objective as scheduling on the foundation that a performance was weighted to study in the past. But general production of manufacturing environment scheduling problem that a single objective can’t be satisfied, it’s consider with many view of multiple objectives in the really world, and conflict with each other between the objectives. And the most scheduling research of multiple objectives at present, only consider manufacturing performance factor. These factors are belonging to quantitative factors. In fact, scheduling environment nee

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WU, CHIH BIN, and 巫智斌. "Model Construction for the Multiple Objectives,Multiple Fleet Scheduling Problem with Additional Maintenance Concern." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/69857601649965216730.

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碩士<br>大葉工學院<br>工業工程研究所<br>85<br>The research regarding fleet scheduling problem of Taiwan in the past years was still focused on single fleet, which is far different from the current condition and hence these research cannot represent the actual operating conditions of airline business. Among these research, they seem to have two points in common:(1) Very few of them have ever taken the fleet maintenance requirements into account.(2) Most of the objectives of these research are the operati

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Chen, Chan Hui, and 詹蕙珍. "The Resource-Constrained Multiple-Project Scheduling Problem with Multiple Fuzzy Objectives Non-linear Programming." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/09011704259285909618.

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碩士<br>國立屏東科技大學<br>工業管理系<br>92<br>The purpose of this study is to develop a multiple fuzzy objective non-linear programming (MFONLP) model for solving the resource-constrained multi-project scheduling problem (RCMPSP). Two novel goals, maximization of total project net present value and the minimization of the total project duration, are involved in the RCMPSP model. Factors considered in the proposed model are the number of projects, the quantity of renewable-resources available, the quantity of capital available, multiple objective functions, the project delay penalty and the project early co

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Kung, Yu-jen, and 龔裕仁. "A single machine scheduling problem with consideration of sequence-dependent setup time and multiple objectives." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/hb3c53.

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碩士<br>國立中央大學<br>工業管理研究所碩士在職專班<br>96<br>This research mainly focuses on production scheduling related theories and analyze related industrial environment of case company. The objectives are to define suitable logic and to find out the special rules for case company. The most important characteristic in this case is the sequence-dependent setup time for production. We investigate and develop the solution and criterion for our case company. Moreover, we also consider the times of raw materials arrival and expiration date limit of raw materials stocked in this problem. The objectives need simultan

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Chen, Chien-Yuan, and 陳堅元. "A Study of Multi-Site Production Assignment and Scheduling System with Order Contributivity Considered Multi-Objectives." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/07582133473920115761.

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碩士<br>東海大學<br>工業工程與經營資訊學系<br>96<br>As economic environment and industrial structure changing rapidly, product demand frequency increases immensely as well. To accomplish the great amount of orders, industries expand their plants accordingly or integrate with others to increase their outputs. As a result, conventional order management is no longer sufficient to solve these problems, accompanied with the distance and different information of these incorporated factories. The single-site planning has developed in to multi-site planning. However, most of the previous studies, make a orders decisio

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Wei-Che, Kao, and 高偉哲. "On Multi-objective Overlapping Flow Shop Scheduling." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/89617435995980932950.

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碩士<br>輔仁大學<br>管理學研究所<br>94<br>In flow shop manufacturing scheduling systems, the managers are trying to minimize the makespan and the manufacturing cost. This study presents an ant colony system (ACS) heuristic for establishing an effective and simple mechanism to solve the problem of scheduling associated with overlap manufacturing operations. In the proposed approach, the scheduling mechanism and ACS heuristics are developed separately, improving the performance of the overlap manufacturing flow by varying parameters or settings within the ACO’s heuristic and enabling the application to be f

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"Multi-objective Operating Room Planning and Scheduling." Doctoral diss., 2010. http://hdl.handle.net/2286/R.I.8777.

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abstract: Surgery is one of the most important functions in a hospital with respect to operational cost, patient flow, and resource utilization. Planning and scheduling the Operating Room (OR) is important for hospitals to improve efficiency and achieve high quality of service. At the same time, it is a complex task due to the conflicting objectives and the uncertain nature of surgeries. In this dissertation, three different methodologies are developed to address OR planning and scheduling problem. First, a simulation-based framework is constructed to analyze the factors that affect the utiliz

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Emma and 蔣雅慈. "Multi-Objective Nurse Scheduling Using Scatter PSO." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/64296188743774598841.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>97<br>It is time-consuming to generate nurse scheduling using traditional human-involved manner in order to account for administrative operations, business benefits, governmental regulations, and fairness perceived by nurses. Moreover, the objectives cannot be measured quantitatively even when the nurse scheduling is generated after a lengthy manual process. This paper presents a Multi-Objective Scatter PSO combined with Tabu Search to tackle the real-world nurse scheduling problem. By the proposed mathematical formulation, the hospital administrator can set up mult

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林金銘. "On multi-objective single machine scheduling problem." Thesis, 1986. http://ndltd.ncl.edu.tw/handle/42009279734672073454.

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王來旺. "On double-objective parallel machine scheduling problem." Thesis, 1988. http://ndltd.ncl.edu.tw/handle/76493309318909530611.

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Yin, Ying, and 殷英. "Multi-objective Task Scheduling in Cloud Environment Using Multi-objective Simplified Swarm Optimization." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/54qc4f.

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碩士<br>國立清華大學<br>工業工程與工程管理學系所<br>106<br>Nowadays, cloud computing and big data are changing the enterprise. Cloud computing, as a new business computing mode, distributes computing tasks across resource pools made up of a large number of computers for large-scale calculation. In the current research on the task assignment problem of cloud computing, most scholars consider single-objective programming, for example minimizing the cost or makespan. However, factors such as load balancing of virtual machines, reliability of system, and energy consumption can influence the quality of the cloud compu

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