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1
Oezkan, Oezguer. "Operational modelling practical manufacturing systems." Thesis, University of Southampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323768.
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Oyarbide, Zubillaga Aitor. "Manufacturing systems simulation using the principles of system dynamics." Thesis, Cranfield University, 2003. http://dspace.lib.cranfield.ac.uk/handle/1826/12141.
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Manufacturing is the largest single contributor to the global economy. The evolution of consumer demands has pressurised companies into producing a larger variety of products, with improved specifications, reduced costs, and shorter lead times. In this context, companies have found simulation techniques useful in their manufacturing systems design processes; simulation based on Discrete Event Simulation (DES) is the preferred technique. The complexity of manufacturing systems, and the mechanisms of DES, means that the simulation task often consumes excessive time and resources, such as data, software, and training. Evidence suggests that an alternative modelling technique, named System Dynamics (SD), is also appropriate for conducting this task. SD has been applied successfully in other fields, where its graphical notation is considered beneficial. However, the lack of an SD tool that is tailored toward manufacturing systems has prevented industry from adopting this technique more extensively. This thesis determines the extent to which SD can provide a credible alternative to DES in the manufacturing system design process. Information concerning DES, SD and practitioners' needs was gathered from published literature and from an interview survey. A functional prototype of a tool based on the SD principles, but tailored to model manufacturing systems was then developed. Three case studies then provided valuable information concerning the requirements of industry and the capabilities of the SD technique. This research programme has found SD to be sufficiently accurate and quicker than DES tools under certain conditions, requiring less data and skills. In addition, the user interface appears to have had a significant impact on the lack of adoption of SD techniques within the manufacturing sector. Simp1ifications made by this technique can reduce both model building and model execution time, and thus, experimentation time. However, evidence suggests that DES is still more prevalent, and that further work is required to develop SD based tools tailored to manufacturing systems. Therefore, this thesis provides a much improved understanding of the capabilities of SD as an aid to manufacturing systems design.
3
Pai, Vinod. "Simulation of two manufacturing systems for a car manufacturing company." Ohio : Ohio University, 1997. http://www.ohiolink.edu/etd/view.cgi?ohiou1177087066.
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Tang, Wei. "Reconfigurable Hardware-Based Simulation Modeling of Flexible Manufacturing Systems." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/29925.
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This dissertation research explores a reconfigurable hardware-based parallel simulation mechanism that can dramatically improve the speed of simulating the operations of flexible manufacturing systems (FMS). Here reconfigurable hardware-based simulation refers to running simulation on a reconfigurable hardware platform, realized by Field Programmable Gate Array (FPGA). The hardware model, also called simulator, is specifically designed for mimicking a small desktop FMS. It is composed of several micro-emulators, which are capable of mimicking operations of equipment in FMS, such as machine centers, transporters, and load/unload stations.
To design possible architectures for the simulator, a mapping technology is applied using the physical layout information of an FMS. Under such a mapping method, the simulation model is decomposed into a cluster of micro emulators on the board where each machine center is represented by one micro emulator. To exploit the advantage of massive parallelism, a kind of star network architecture is proposed, with the robot sitting at the center. As a pilot effort, a prototype simulator has been successfully built.
A new simulation modeling technology named synchronous real-time simulation (SRS) is proposed. Instead of running conventional programs on a microprocessor, this new technology adopts several concepts from electronic area, such as using electronic signals to mimic the behavior of entities and using specifically designed circuits to mimic system resources. Besides, a time-scaling simulation method is employed. The method uses an on-board global clock to synchronize all activities performed on different emulators, and by this way tremendous overhead on synchronization can be avoided. Experiments on the prototype simulator demonstrate the validity of the new modeling technology, and also show that tremendous speedup compared to conventional software-based simulation methods can be achieved.<br>Ph. D.
5
Svensson, Harari Natalia. "Manufacturing systems model interoperability in discrete event simulation." Thesis, KTH, Industriell produktion, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91591.
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The use of simulation has been said to be a useful tool to analyze manufacturing systems, Discrete Event Simulation - DES for instance under the occurrence of different events. Information management in Manufacturing Systems is an important issue and so it is insimulation studies because some of the difficulties in building, reusing and integratingsimulation models with other applications used in manufacturing systems are related withthe data. In this context different efforts have been made to facilitate the use of simulationand overcome interoperability problems through improving the information management,one of this is the Core Manufacturing Simulation Data Information Model - CMSDIMdeveloped by The National Institute of Standards and Technology - NIST. The objective of this thesis is to contribute to the use of the CMSDIM in ExtendSim V8. A method to import databases structured based on the CMSDIM into the Simulation softwareExtendSim V8 is developed and applied in a case study in a production line of SCANIA.
6
Svensson, Bo. "Optimisation of Manufacturing Systems Using Time Synchronised Simulation." Licentiate thesis, University West, University West, Department of Engineering Science, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-2481.
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Shoaki, Salman Daif-Allah. "Generic robotic manufacturing systems : modelling/simulation and control." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390617.
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Lavery, Eamonn. "Object oriented modelling and simulation of manufacturing systems." Thesis, Queen's University Belfast, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361254.
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Xu, Dong. "Hardware-based Parallel Simulation of Flexible Manufacturing Systems." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/28787.
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This research explores a hardware-based parallel simulation mechanism that can dramatically improve the speed of simulating flexible manufacturing systems (FMS) by applying appropriate enabling hardware technologies. The hardware-based parallel simulation refers to running a simulation on a multi-microprocessor integrated circuit board, called the simulator, which is specifically designed for the purpose of simulating a specific FMS. The board is composed of a collection of micro-emulators capable of mimicking the operation of equipment in FMS such as machining centers, transporters, and load/unload stations.
To design possible architectures for the board, a mapping technology is applied by making use of the physical layout information of an FMS. Under such a mapping method, the simulation model is decomposed into a cluster of micro emulator on the board where each workstation is represented by one micro emulator. Three potential architectures for the proposed simulator, namely, the bus-based architecture, the shared-memory based architecture, and the parallel I/O port based architecture, are studied. To provide a suitable parallel computing platform, a prototype simulator based on the combination of the shared-memory and the parallel I/O port architecture is physically built.
Besides the development of the hardware simulator, a time scaling simulation method is also developed for execution on the proposed simulator. The method uses the on-board digital clock to synchronize the parallel simulation being performed on different microprocessors. The advantage of the time scaling technology is that the sequence of simulation events is sorted naturally in consistent with the real events. In this way, no entangled waiting is needed as in the conservative parallel simulation methods so as to reduce the synchronization overhead and the danger of having deadlock. Experiments on the prototype simulator show that the time scaling simulation method, combined with the unique hardware features of the FMS specific simulator, achieves a large speedup compared to conventional software-based simulation methods.<br>Ph. D.
10
Mansour, Mohammad Ahmad Chaudhry Ghulam M. "A generalized simulation model for flexible manufacturing system." Diss., UMK access, 2005.
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Thesis (Ph. D.)--School of Computing and Engineering and Dept. of Mathematics. University of Missouri--Kansas City, 2005.<br>"A dissertation in engineering and mathematics." Advisor: Ghulam Chaudhry. Typescript. Vita. Title from "catalog record" of the print edition Description based on contents viewed June 26, 2006. Includes bibliographical references (leaves 341-346 ). Online version of the print edition.
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Hart, John. "Increasing manufacturing efficiency within a simulation environment." Thesis, University of Sunderland, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261571.
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Surya, Goutham R. "Pull and lean manufacturing systems validation using simulation modeling." Full text available, 2004. http://images.lib.monash.edu.au/ts/theses/surya.pdf.
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Shires, Nigel. "The distributed simulation of highly automated batch manufacturing systems." Thesis, Loughborough University, 1988. https://dspace.lboro.ac.uk/2134/10823.
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This thesis examines the use of distributed discrete-event simulation techniques as part of an aid to the design of highly automated batch manufacturing systems. The methodology and objectives of the design of highly automated batch manufacturing systems are described and an assessment is made of the use of modelling and simulation as part of the method . Criteria are developed for a simulator used during the . detail design stage. The different approaches taken by existing simulation systems to building and configuring simulation models and their use of particular simulation techniques are described. Limitations on simulation models due to the sequential processing of event-lists and activity scans are identified in a review of the problems of simulation that current existing distributed simulators have been designed to answer. The advantages of concurrent and distributed computing and in particular, a tightly-coupled multi-microprocessor computing engine for executing the normally batch-processed computing tasks of simulation are identified . A novel approach to the distr~bution of the computational tasks in a distributed simulation system is described and the operation of a simulator built using this approach to simulate the operation of highly automated batch manufacturing systems is also described.The question of whether such a distributed simulator of highly automated batch manufacturing systems satisfies the criteria is examined on the basis of an analysis of the operation of the simulator. It is shown that a number of advantages in the areas of level of detail, configuration, parallel processing and speed of execution can be achieved through the use of distributed computing and multi-processing techniques for simulation during the detail design stage of highly automated batch manufacturing systems.
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Du, Preez Jacques. "A study of reconfigurable manufacturing systems with computer simulation." Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/17906.
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Thesis (MScEng)--Stellenbosch University, 2011.<br>ENGLISH ABSTRACT: Reconfigurable Manufacturing Systems (RMSs) have the ability to
reconfigure hardware and control resources at all of the functional and
organizational levels. This allows for quick adjustment of production
capacity and functionality in response to sudden changes in market
or in regulatory requirements.
This study evaluates the characteristics and operation of automated
reconfigurable assembly lines using discrete event simulation. The assembly
line uses a conveyor system which transports pallets to various
machines to perform the assembly process. Different conveyor configurations
are developed for the same assembly process using Simio
simulation software. A part family consisting of five variants are
assembled on the same assembly line with a large variation in the
production quantities for each product. This requires the assembly
system to be able to quickly adjust its functionality and capacity.
Multi-objective optimization is performed on the models through the
use of a Pareto exhaustive search experiment. The two contradicting
objectives used are the throughput rate of the system and the average
work in progress, with the aim of maximizing the former and minimizing
the latter. From the Pareto exhaustive search experiment, a
Pareto front is constructed showing which configuration is preferred
under certain operation conditions. However it is concluded that the
Pareto front can be tailored to fit the specific needs of the decision
maker, depending on what the decision maker is willing to pay.
An experiment that evaluates the effect of changing the conveyor
speed is performed. It is established that under certain operating
conditions, increasing the conveyor speed higher than the ceiling value
will not improve the performance of the system. A production scenario was also developed which include different order
sizes for each of the five parts of the part family. The configurations
have to alter their capacities based on the order sizes to test which
system performs the best under these operating conditions. For this
experiment, the ramp-up time was of interest but the best system was
chosen based on the combination of throughput rate and the average
work in progress.
From the results of the different experiments, it is recommended to
first determine the maximum capacity and the operating logic before
choosing one of the configurations. Once this is decided, the
information gathered from the experiments can then be tailored for
the decision maker to establish the best operating conditions for the
chosen con guration. The developed simulation models are used as a
Decision Support System for future research on the topic. It is recommended
for future research to focus on using Automated Guided Vehicles
(AGVs) instead of a conveyor system as transportation method.<br>AFRIKAANSE OPSOMMING: Herkonfigureerbare Vervaardigingstelsels (HVSs) het die vermoee om
alle hardeware en beheer hulpbronne, op alle funksionele en organisatoriese
vlakke te herkonfigureer. Dit maak dit moontlik vir vinnige
verstellings aan produksie kapasiteit en funksionaliteit, indien daar 'n
skielike verandering in die mark of wetgewing is.
Hierdie studie evalueer die karakteristieke en werking van outomatiese
herkon gureerbare monteerlyne met behulp van diskrete gebeurtenis
simulasie. Die monteerlyne gebruik vervoerbande om pallette na
verskeie masjiene te vervoer, sodat die parte aanmekaar gesit kan
word. Simio simulasie sagteware is gebruik om verskillende vervoerband
kon gurasies vir dieselfde monteringsproses te ontwikkel. 'n Part
familie van vyf variante word op dieselfde monteerlyn aanmekaargesit.
Daar is 'n groot variasie in die produksie hoeveelhede van elk van
die vyf variante, dus moet die monteerlyne vinnig die kapasiteit en
funksionaliteit kan aanpas.
Multi-doelwitoptimering is toegepas op die modelle deur 'n Pareto
alomvattende soek eksperiment uit te voer. Die twee teenstrydige
doelwitte wat gebruik is, is die deurset tempo van die stelsel asook
die gemiddelde werk-in-proses. Die doel is om die deurset tempo te
maksimeer en terselfde tyd die gemiddelde werk-in-proses te minimeer.
Die Pareto alomvattende soek eksperiment word verder gebruik om
'n Pareto front te skep wat uitwys watter vervoerband kon gurasies
verkies word onder sekere bedryfstoestande. Die Pareto front kan
egter aangepas word om die spesi eke behoeftes van die besluitnemer
te pas.
'n Eksperiment is uitgevoer om die uitwerking van die vervoerbandspoed
op die stelsel te toets. Resultate het getoon dat onder sekere bedryfstoestande die werkverrigting van die stelsel nie verbeter indien
die spoed 'n maksimum grenswaarde oorskry nie.
'n Eksperiment wat 'n produksie scenario voorstel is ontwikkel waarin
die vraag na die vyf part variante gevarieer word. Die vervoerband
konfigurasies moet dan die kapasiteit aanpas gebaseer op die vraag
na die parte. Die doel van die eksperiment is om te toets watter
kon gurasie die beste vaar onder hierdie bedryfstoestande. Die tyd
wat dit neem vir die stelsel om weer op dreef te kom na 'n verandering
in kapasiteit is ondersoek in hierdie eksperiment, maar die beste stelsel
is nog steeds gekies gebaseer op die kombinasie van deurset tempo en
die gemiddelde werk-in-proses.
Gegewe die resultate van die verskillende eksperimente, word dit voorgestel
dat die besluitnemer eers die maksimum kapasiteit en die bedryfstoestande
vasstel, voordat 'n vervoerband kon gurasie gekies word.
Sodra dit besluit is, kan die inligting wat tydens die eksperimente ingesamel
is, aangepas word om die beste bedryfstoestande vir die kon gurasie
wat gekies is, vas te stel. Die simulasie modelle wat ontwikkel is
word gebruik as 'n besluitnemingsondersteuningstelsel vir toekomstige
navorsing oor die onderwerp. Dit word voorgestel dat toekomstige
navorsing die moontlikheid van geoutomatiseerde begeleide voertuie
(GBV), in plaas van vervoerbande as vervoermiddel, ondersoek.
15
Taylor, Simon. "The application of parallel processing to manufacturing systems simulation." Thesis, Leeds Beckett University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343240.
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Ma, Qingwei. "Distributed Manufacturing Simulation Environment." Ohio University / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1038409280.
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Sreekanth, Uday. "POEMS - a process and object environment for manufacturing simulation." Thesis, Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/24945.
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Martin, Timothy Patrick. "Flexible manufacturing system software development using simulation." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/101236.
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This paper presents a hierarchical modeling method that can be used to simulate a Flexible Manufacturing System (FMS) at all levels of detail. The method was developed specifically to aid the software development needed for the hierarchy of computers that are present in an FMS. The method was developed by modeling an existing FMS. The models developed of the existing FMS are described in detail to provide an example of how to model other FMSs. The basic building blocks needed for designing other FMSs with this modeling method are provided.
The models were written in the SIMAN simulation language. SIMAN was found to be an easy language to use for the hierarchical modeling of FMSs.<br>M.S.
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Lobo, Royston. "Comparison Of Connected Vs. Disconnected Cellular Systems Using Simulation." Ohio : Ohio University, 2006. http://www.ohiolink.edu/etd/view.cgi?ohiou1142126123.
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Helal, Magdy. "A hybrid system dynamics-discrete event simulation approach to simulating the manufacturing enterprise." Orlando, Fla. : University of Central Florida, 2008. http://purl.fcla.edu/fcla/etd/CFE0002264.
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Ariffin, Saparudin bin. "Modelling and simulation in support of the design and construction of modular machine control system." Thesis, Loughborough University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336507.
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Alrabghi, Abdullah Omar. "Simulation-based optimisation of complex maintenance systems." Thesis, Cranfield University, 2015. http://dspace.lib.cranfield.ac.uk/handle/1826/9694.
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There is a potential as well as a growing interest amongst researchers to utilise simulation in optimising maintenance systems. The state of the art in simulation-based optimisation of maintenance was established by systematically classifying the published literature and outlining main trends in modelling and optimising maintenance systems. In general, approaches to optimise maintenance varied significantly in the literature. Overall, these studies highlight the need for a framework that unifies the approach to optimising maintenance systems.
Framework requirements were established through two main sources of published research. Surveys on maintenance simulation optimisation were examined to document comments on the approaches authors follow while optimising maintenance systems. In addition, advanced and future maintenance strategies were documented to ensure it can be accommodated in the proposed framework. The proposed framework was developed using a standard flowchart tool due to its familiarity and ability to depict decision structures clearly. It provides a systematic methodology that details the steps required to connect the simulation model to an optimisation engine. Not only it provides guidance in terms of formulating the optimal problem for the maintenance system at hand but it also provides support and assistance in defining the optimisation scope and investigating applicable maintenance strategies. Additionally, it considers current issues relating to maintenance systems both in research and in practice such as uncertainty, complexity and multi-objective optimisation.
The proposed framework cannot be applied using existing approaches for modelling maintenance. Existing modelling approaches using simulation have a number of limitations: The maintenance system is modelled separately from other inter-related systems such as production and spare parts logistics. In addition, these approaches are used to model one maintenance strategy only. A novel approach for modelling maintenance using Discrete Event Simulation is proposed. The proposed approach enables the modelling of interactions amongst various maintenance strategies and their effects on the assets in non-identical multi-unit systems.
Using the proposed framework and modelling approach, simulation-based optimisation was conducted on an academic case and two industrial cases that are varied in terms of sector, size, number of manufacturing processes and level of maintenance documentation. Following the structured framework enabled discussing and selecting the suitable optimisation scope and applicable maintenance strategies as well as formulating a customised optimal problem for each case. The results of the study suggest that over-looking the optimisation of maintenance strategies may lead to sub-optimal solutions. In addition, this research provides insights for non-conflicting objectives in maintenance systems.
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Kim, Hansoo. "Reference Model Based High Fidelity Simulation Modeling for Manufacturing Systems." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5207.
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Today, discrete event simulation is the only reliable tool for detailed analysis of complex behaviors of modern manufacturing systems. However, building high fidelity simulation models is expensive. Hence, it is important to improve the simulation modeling productivity. In this research, we explore two approaches for the improvement of simulation modeling productivity. One approach is the Virtual Factory Approach, using a general-purpose model for a system to achieve various simulation objectives with a single high fidelity model through abstraction. The other approach is the Reference Model Approach, which is to build fundamental building blocks for simulation models of any system in a domain with formal descriptions and domain knowledge. In the Virtual Factory Approach, the challenge is to show the validity of the methodology. We develop a formal framework for the relationships between higher fidelity and lower fidelity models, and provide justification that the models abstracted from a higher fidelity model are interchangeable with various abstract simulation models for a target system. For the Reference Model Approach, we attempt to overcome the weak points inherited from ad-hoc modeling and develop a formal reference model and a model generation procedure for discrete part manufacturing systems, which covers most modern manufacturing systems.
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Mensah, Daniel Yao. "A simulation study of cell reconfiguration problems in manufacturing systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ30519.pdf.
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Solding, Petter. "Increased energy efficiency in manufacturing systems using discrete event simulation." Thesis, De Montfort University, 2008. http://hdl.handle.net/2086/4762.
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Market demands are forcing industrial manufacturers to develop their production systems by increasing flexibility, improving quality and lowering production costs. With the help of simulation techniques the understanding of manufacturing systems can be enhanced and alternate solutions can be tested. Simulation has therefore played an important role in industrial development in recent years. New or improved simulation technologies, and new ways to use the available technologies, are still being developed. Energy related costs are often neglected by Swedish industry due to the low energy costs historically in Sweden, compared to other European countries. The developments of the energy market with uncertainty concerning future prices have increased the need for energy efficiency. Resources in manufacturing facilities need to be used in the most efficient way. The increasing use of computer-based tools for supporting production planning and control, as well as management and control of energy systems, has not been as beneficial as might first appear. These two types of tools are seldom integrated, which complicates the control of either system. A methodology for analysing the production system, the energy system and these systems interaction with each other, will enhance the possibility of improved control of the facility. This research has focused on formulating a methodology for more efficient use of energy in manufacturing plants, with main focus on electricity use. The methodology uses Discrete Event Simulation (DES) as a tool for applied analysis of manufacturing systems. Focus area of the study has been on the energy intensive foundry industry. The methodology aids the process of efficient working by identifying what processes are important, what activities have to be carried out and what types of analyses can be undertaken. A way to categorise equipment by energy usage is presented to simplify the procedures of collecting, presenting and using data in the simulation model. An approach to how the model can be built is described so that the simulation model can be used for analysis of energy use. To evaluate the methodology four case studies were carried out at different foundries in Sweden. It was found that the level of maturity between the different companies at the outset of the research project varied, regarding manufacturing and simulation as well as energy use. These differences enhanced the analysis in the way that specialised solutions had to be made to complete the analysis. The output from the simulation case studies showed that there is potential to reduce both electricity and power use in all foundries studied. The methodology, and the integration of Discrete Event Simulation, complements the use of energy models for industrial applications, since analysis can be made on the discrete production which is mimicked by the model. The range of applications that utilise Discrete Event Simulation in industry is also enhanced. The research study has successfully shown that energy data can be added to a simulation model and that the model can be built in a way that makes it useful for analysis of both production efficiency and energy use. The methodology presented can help companies reduce their overall energy use and peak power loads. This will not only reduce the total energy related costs for the companies but also the CO2 emissions, reducing the companies' overall environmental impact. To extend the methodology future research will be conducted to add optimisation techniques to the simulation models and to integrate the models with surrounding systems, such as Enterprise Resource Planning (ERP) systems and Load Management Systems (LMS). Future investigation is also needed to determine whether the methodology can be used for dynamic Life Cycle Assessments (LCA) where the production will contribute to the impact a product will have on the environment during its whole life cycle.
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Hoffmann, Peter. "On virtual commissioning of manufacturing systems : proposals for a systematic VC simulation study methodology and a new simulation model building approach." Thesis, University of South Wales, 2016. https://pure.southwales.ac.uk/en/studentthesis/on-virtual-commissioning-of-manufacturing-systems(a4f3fdc4-56b5-4429-8432-b1975d09cf08).html.
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The development of manufacturing systems is faced with progressively tightening time frames, along with growing requirements on planning quality and engineering accuracy. These demands result from significant cost constraints, shortening of product life-cycles, increasing number of product variants and economic needs for rapid time-to-market. Thus, an efficient production ramp-up including the commissioning as the crucial part, becomes more and more important for engineering companies to stay profitable. Virtual Commissioning (VC) is widely considered as promising method to address the challenges associated with real commissioning, but the simulation model building necessary for VC is affiliated with considerable effort and required expertise. VC of manufacturing systems has been a research topic in academia and industry for far more than a decade. Positive results are reported from large companies e.g. from the automotive industry, which are mostly utilising the complex and costly suites of tools in the context of the Digital Factory, rarely from SMEs. However, in particular also SMEs are forced to improve their engineering and commissioning processes, but suites of tools and methodologies used in large companies are not reasonably transferable to SMEs. Rationale for the rare use of VC, besides its general complexity, are a high modelling effort to build the necessary virtual plant models and a lack of availability of methodologies for systematic implementation and reasonable execution of VC. Thus, the main goal of this research is the development of a new systematic simulation study methodology as general guideline for planning, implementation and execution of VC. It is intended to be notably beneficial for engineers from SMEs, as helpful guideline for planning, implementation and execution of VC and to facilitate the substantially high modelling effort required for VC of manufacturing systems. Besides clarifying the requirements and specifying an environment for VC, the criteria to select an appropriate simulation tool have been established. The proposed modular, component based simulation model building has been split into specified procedures for “Low-level Component Modelling”, to be conducted for the components of the decomposed real manufacturing system, and subsequent “High-level Plant Modelling” of the virtual manufacturing system. The applicability of these new approaches has been validated by planning, implementing and conducting a VC for a trackbound transportation system with self-driving transport cars on passive tracks, which is the major subsystem of the manufacturing system used as test-bed at the UASA Hannover. As one main result, a novel workflow for Low-level Component Modelling has been proposed that aims for the gradual relocation of this modelling task as far as possible to the origin of components, in the end the component manufacturers should provide together with the deliverable components their mechatronic component models. This is related to a novel proposal for exchangeable mechatronic component models and an outlined possible implementation with AutomationML.
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Oraifige, Ilias. "Simulation and co-ordination of hierarchical structures in integrated manufacturing systems." Thesis, University of Wolverhampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264372.
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Liyanage, Kapila N. H. P. "Methodology for input data modelling in the simulation of manufacturing systems." Thesis, Sheffield Hallam University, 1999. http://shura.shu.ac.uk/19975/.
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Computer simulation is a well-established decision support tool in manufacturing industry. However, factors such as wrong conceptualisation, inefficient input data modelling, inadequate verification and validation, poorly planned experimentation and lengthy model documentation inhibit the rapid development and deployment of simulation models. A serious limitation among the above factors is inefficient data modelling. Typically, more than one third of project time is spent on identification, collection, validation and analysis of input data. This study investigated potential problems which influence inefficient data modelling. On the basis of a detailed analysis of data modelling problems, the study recommends a methodology to address many of these difficulties. The proposed methodology, discussed in this thesis, is called MMOD (Methodology for Modelling Of input Data). An activity module library and a reference data model, both developed using the IDEF family of constructs, are the core elements of the methodology. The methodology provides guidance on the best way of implementation and provide a tool kit to accelerate the data modelling exercise. It assists the modeller to generate a customised data model (entity model), according to the knowledge gained from the conceptualisation phase of the simulation project. The resulting customised data model can then be converted into a relational database which shows how the entities and relationships will be transformed into an actual database implementation. The application of the MMOD through simulation life cycle also enables the modeller to deal with important phases in the simulation project, such as system investigation, problems and objective definitions and the level of detail definitions. A sample production cell with different level of detail has been used to illustrate the use of the methodology. In addition, a number of useful methods of data collection and the benefits of using a MMOD approach to support these methods and data rationalisation which accelerates the data collection exercise are also covered. The aim of data rationalisation is to reduce the volume of input data needed by simulation models. This work develops two useful data rationalisation methods which accelerate the data collection exercise and reduce the model complexity. This work produced a novel approach to support input data modelling in simulation of manufacturing system. This method is particularly useful when the complex systems are modelled.
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Tye, Benjamin Spencer. "A study on model design in the simulation of manufacturing systems." Thesis, Sheffield Hallam University, 1999. http://shura.shu.ac.uk/20464/.
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Global competition in industry demands that organisations take steps to improve or even redesign their manufacturing systems in order to remain competitive. Such improvements invariably require considerable investment and risk. The use of computer simulation allows managers to understand the underlying dynamics of complex manufacturing systems in order to identify problem areas. The models can also be used to evaluate re-design strategies and options for improvement, thereby reducing the potential risk and increasing the likelihood of a positive return on investment However, developing a valid simulation model that represents the system to a sufficient scope and level of detail to allow confident decision making is a difficult task. The research explores the application of a novel methodology consisting of a questionnaire survey, case studies with expert model builders and action research with a steel manufacturing company. Using these research techniques, this study focuses on the crucial early phases of the simulation model development process. The research demonstrates that the combination and application of the research techniques has proved to be a powerful methodology to explore the dynamic interactions of the early stages of the simulation life cycle. The findings conclude that the simulation life cycle is highly iterative process where it is difficult to identify clear steps between the different stages of a simulation project. The model builders engage in a number of cyclic activities where there is significant interaction with the client stakeholders to ensure that the model is a valid representation of the problem. The increased use of Visual Interactive Simulation Software (VISS) has had a major impact on the life cycle by allowing dynamic models to be created at a very early stage which facilitates the interaction between model builder and client.
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Kumar, Rohit. "Simulation optimization for manufacturing system design." College Park, Md. : University of Maryland, 2003. http://hdl.handle.net/1903/6361.
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Thesis (M.S.)--University of Maryland, College Park, 2003.<br>Thesis research directed by : Dept. of Mechanical Engineering. Title from t.p. of PDF. Also available in paper. Published by UMI Dissertation Services, Ann Arbor, Mich.
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McCormick, John H. "AGSIM, a simulation tool to study AGV based car manufacturing systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ33251.pdf.
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Monze, Mweene James. "Cost and performance analysis of manufacturing systems with object-oriented simulation." Thesis, University of Sussex, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239461.
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Kang, Parminder. "Improving manufacturing systems using integrated discrete event simulation and evolutionary algorithms." Thesis, De Montfort University, 2012. http://hdl.handle.net/2086/7975.
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High variety and low volume manufacturing environment always been a challenge for organisations to maintain their overall performance especially because of the high level of variability induced by ever changing customer demand, high product variety, cycle times, routings and machine failures. All these factors consequences poor flow and degrade the overall organisational performance. For most of the organisations, therefore, process improvement has evidently become the core component for long term survival. The aim of this research here is to develop a methodology for automating operations in process improvement as a part of lean creative problem solving process. To achieve the stated aim, research here has investigated the job sequence and buffer management problem in high variety/low volume manufacturing environment, where lead time and total inventory holding cost are used as operational performance measures. The research here has introduced a novel approach through integration of genetic algorithms based multi-objective combinatorial optimisation and discrete event simulation modelling tool to investigate the effect of variability in high variety/low volume manufacturing by considering the effect of improvement of selected performance measures on each other. Also, proposed methodology works in an iterative manner and allows incorporating changes in different levels of variability. The proposed framework improves over exiting buffer management methodologies, for instance, overcoming the failure modes of drum-buffer-rope system and bringing in the aspect of automation. Also, integration of multi-objective combinatorial optimisation with discrete event simulation allows problem solvers and decision makers to select the solution according to the trade-off between selected performance measures.
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Anosike, Anthony Ikechukwu. "Agent-based modelling simulation and control of dynamically integrated manufacturing systems." Thesis, University of Exeter, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419027.
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Del, Riego Navarro Andrés, and Pérez Álvaro Rico. "Simulation-based multiobjective optimization and availability analysis of reconfigurable manufacturing systems." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20196.
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Due to the changes and improvements that have occurred over the years, the manufacturing sector has evolved. Companies in the 21st-century face changes in the marketplace that are difficult to predict due to international competition and the rapid emergence of new products. To cope, companies must reinvent themselves and design manufacturing systems that seek to produce quality and low-cost products, and respond to the changes that must be faced. These capabilities are encompassed in reconfigurable manufacturing systems (RMS), capable of dealing with uncertainties quickly and economically. On the other hand, production planning with this type of system presents a significant challenge. Although simulation-based optimization techniques have been applied to address certain RMS challenges, only a few studies have applied simulation-based multi-objective optimization to simultaneously address several conflicting design objectives, as is the case in this project. This project aims to investigate some aspects using SBMO that directly affect the performance of a plant and demonstrate the usefulness of the method.<br><p>Det finns övrigt digitalt material (t.ex. film-, bild- eller ljudfiler) eller modeller/artefakter tillhörande examensarbetet som ska skickas till arkivet.</p>
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De, Meter Edward Christopher. "GIBSS: a framework for the multi-level simulation of manufacturing systems." Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54513.
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A systems approach for manufacturing system design calls for the division of a system design into sub-designs, and their specification over multiple levels of detail. Through an iterative design and evaluation process, a system design progresses from an abstraction to an implemental specification. To facilitate the evaluation process, models of sub-designs must be applicable to modular assembly, even if the sub-designs are heterogeneously specified.
Computer simulation modeling is currently the most flexible method of manufacturing system analysis. When used in the multi-level design process, two forms of simulation models are encountered, uni-level and multi-level. A simulation model of a manufacturing system is considered uni-level if objects of equivalent type within the system are modeled at the same level of detail. On the other hand, a model is considered multi-level if objects of equivalent type are not modeled at the same level of detail. Unfortunately, current simulation frameworks do not integrate modular construction with the various discrete event and continuous simulation techniques needed to support multi-level modeling.
This dissertation describes GIBSS (Generalized Interaction Based Simulation Specification), a simulation framework which supports the modular construction of uni-level and multi-level simulation models. Under GIBSS, the mechanisms and attributes of a manufacturing system simulation are distributed among various classes of independent sub-models. These classes are passive, internal interaction, external interaction, and master simulation. GIBSS describes the mechanics of each of these classes, as well as their method of synchronization. Using GIBSS, sub-models are created, executed, and validated independently, and then brought together to execute in parallel or near parallel fashion. As a result, uni-level and multi-level system simulation models are assembled from multiple sub-models.
GIBSS eliminates a barrier to the rapid evaluation of manufacturing system designs. It facilitates the multi-level design process, and is the basis of a research effort, dedicated to the development of a new generation of computer-aided manufacturing system design environments.<br>Ph. D.
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Propes, Nicholas Chung. "Hybrid Systems Diagnosis and Control Reconfiguration for Manufacturing Systems." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5150.
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A methodology for representing and analyzing manufacturing systems in a hybrid systems framework for control reconfiguration purposes in the presence of defects and failures at the product and system levels is presented. At the top level, a supervisory Petri net directs parts/jobs through the manufacturing system. An object-based hybrid systems model that incorporates both Petri nets at the event-driven level and differential equations at the time-driven level describes the subsystems. Rerouting capabilities utilizing this model at the product and operation levels were explained. Simulations were performed on a testbed model for optimal time and mode transition cost to determine the route for parts. The product level reconfiguration architecture utilizes an adaptive network-based fuzzy inference system (ANFIS) to map histogram comparison metrics to set-point adjustments when product defects were detected. Tests were performed on good and defective plastic parts from a plastic injection molding machine. In addition, a mode identification architecture was described that incorporates both time- and event-driven information to determine the operating mode of a system from measured sensor signals. Simulated data representing the measured process signals from a Navy ship chiller system were used to verify that the appropriate operating modes were detected.
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Mills, R. I. "The development and application of a simulation approach to advanced manufacturing systems planning." Thesis, Cranfield University, 1987. http://dspace.lib.cranfield.ac.uk/handle/1826/4208.
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In the competitive field of metalworking industry, the planning of manufacturing systems so as to maximise their performance is crucial. The relatively new field of Flexible Manufacturing Systems presents a new set of planning challenges to the production engineer. This is due to the integrated nature of the these systems and the resultant effects upon their performance. This thesis presents a structured approach to the planning of materials flow within these systems and develops it by the analysis of several proposed manufacturing systems. The approach is based upon the use of mathematical and discrete event simulation techniques. The thesis gives the background to the need for a structured approach, investigates the parallel development of simulation languages and related techniques as applied to manufacturing facilities planning; and of the Flexible Manufacturing Systems themselves. The approach is then detailed and some specific types of planning tool are identified as suitable for use at each project stage. The effects upon the system of the integration of separate units, especially in low work in progress environments, are discussed in some detail. The methodology developed is then used in the context of three projects, specifically developing the theme of automated tool handling and the requirements that it places upon other aspects of a manufacturing system. The projects cover the analysis of pooling strategies, a key factor in determining tool magazine sizes and handling capacity/frequency demands; an academic analysis of a system with both component and tool handling systems; and an advanced Flexible Manufacturing System, also with both automated component and tool handling, which is currently being installed. Conclusions are presented at each stage, and these are drawn together to form a foundation for the planning of materials flow within Flexible Manufacturing Systems in general. Finally, suggestions are made for future work to develop the analysis.
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Smith, James Martin. "The application of computer simulation to the development of manufacturing strategies." Thesis, University of the West of Scotland, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360230.
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Yucel, Necati Deniz. "Simulation Of A Flexible Manufacturing System: A Pilot Implementation." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606608/index.pdf.
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Manufacturing industry has made extensive use of simulation as a means of trying to model the impact of variability on manufacturing system behavior and to explore various ways of coping with change and uncertainty. Simulation helps find optimal solutions to a number of problems at both design and application stages of Flexible Manufacturing Systems (FMS&rsquo<br>s) serving to improve the &ldquo<br>flexibility&rdquo<br>level
The flexibility requirement of FMS necessitates the dissemination of every activity that concerns production, throughout all the levels of a company forcing almost every level of employee face with simulation software, either in terms of preparing models, modifying runs or evaluating results. This problem of inadequate capability of personnel to utilize simulation effectively can be overcome through the design of custom interfaces and integration of simulation software with everyday-use programs.
This research mainly focuses on realizing the modeling and simulation of FMS&rsquo<br>s by the use of the existing system in Middle East Technical University, Mechanical Engineering Department, Computer Integrated Manufacturing Laboratory as a test-bed. Additionally, the means of integration of simulation with auxiliary programs is demonstrated. The models developed throughout the study using ARENA®<br>are used to come up with different scenarios of production. Sample results and decisions about production issues that can be attained through the use of simulation are provided. The described model creation procedures, the generated models, and result assessments are expected to act as a guideline for other simulations regarding FMS&rsquo<br>s.
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Gerdin, Erik, and Rebecca Rifve. "Manufacturing System Improvement with Discrete Event Simulation : A case study with simulation applied to a manual manufacturing system." Thesis, Uppsala universitet, Industriell teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355451.
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Due to a global increase in competitiveness in manufacturing,companies strive to increase the effectiveness of their manufacturing systems. The new industrial revolution, Industry 4.0, is a consequence inmotion to aid in creating improved manufacturing systems. A common tool within Industry 4.0 is simulation, where one could simulate changes in a virtual representation of a real world system. Discrete Event Simulation (DES) is a tool that has been widely adopted within industries to test manufacturing system changes virtually before implementing them physically. However, there is a need to discover the advantages, disadvantages and barriers to the application of simulation modeling in industry, as well as how to show the value with using the technique. A case study at the global manufacturing company Atlas Copco's plant In Tierp, Sweden has been undertaken with the purpose of using DES to aid a manufacturing plant in improving a manual manufacturing system, and how this could develop the current approach to a more long-term and sustainable one. Process mapping have been used to facilitate better understanding of the system prior to simulation modeling, as a manual system proved to be difficult to map otherwise. The results of this study points to that simulation can provide advantages of that decisions regarding implementation of system improvements could have better basis for being taken, simulation can be used to test system changes virtually to prevent eventual implementation problems, and simulation can be used as a tool to generate long-term solutions. However, disadvantages and barriers were identified as resistance from management in difficulties to convince the value of using simulation, extensive modeling competency required, and lack of the right prerequisites makes simulation modeling implementation more difficult. Further research should focus on uncovering the difficulties and barriers to the implementation of simulation modeling in industry, as this was not widely discussed in existing literature.
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Jenkins, Roger J. "The Adoption of discrete event simulation in manufacturing management /." Electronic version View thesis View thesis, 2002. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030331.140950/index.html.
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Thesis (Ph.D.) -- University of Western Sydney, [2002].<br>"A thesis presented to the University of Western Sydney in partial fulfillment of the requirements for the degree of Doctor of Philosophy " Bibliography: leaves 254-258.
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Lanka, Somanath. "Object-oriented real time simulation for a manufacturing facility." Ohio : Ohio University, 1994. http://www.ohiolink.edu/etd/view.cgi?ohiou1178130985.
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Wang, Qian. "Modelling and simulation of integrated operational and information processing systems in manufacturing." Thesis, University of Sussex, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394898.
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Ng, Hok Chuen. "An integrated design, simulation and programming environment for modular manufacturing machine systems." Thesis, De Montfort University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.414936.
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Ketelhohn, Niels. "Development of an interactive simulation game for ISE-5204 Manufacturing Systems Engineering." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-03242009-040732/.
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Kim, Chiwon 1978. "Comparison and optimization of control policies in automobile manufacturing systems by simulation." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/16673.
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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004.<br>Includes bibliographical references (p. 109-110).<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>This thesis studies material flow control policies for automobile manufacturing systems. Various control policies are implemented in simulations of manufacturing systems to test whether they increase the efficiencies of the systems in terms of specific performance measures of interest. Among the control policies, Control Point Policy (CPP) is deeply studied, because this policy is designed for controlling complex manufacturing system with multiple product types. First, fundamental research in CPP is presented to understand the effects of the parameters on single product type manufacturing systems. Then, multiple product type, assembly-disassembly systems are studied with various control policies, including hybrid policies. Finally, a real automobile manufacturing system case study is presented, and various control policies are experimented on in the simulation model. Because the evaluations of performances are done by simulations, the speed of simulation becomes a very important problem. This thesis therefore presents a new approach to accelerating the speed of simulation.<br>by Chiwon Kim.<br>S.M.
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Rezvani, Amir Reza. "Enhanced discrete-event simulation modelling techniques for operational evaluation of advanced manufacturing systems." Thesis, Kingston University, 1990. http://eprints.kingston.ac.uk/20544/.
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Thorough investigation and planning are essential steps in the deployment of Flexible Manufacturing Systems. At the present time, the most popular method of planning and analysis of these systems is computer-based modelling and simulation of which many varieties are commercially available. Ideally, during the modelling phase, the modeller should pay particular attention to such important details as reliability, damage propagation patterns, condition monitoring scenarios and the supervision aspects of these system as these factors are critical to the operation and performance of any envisaged configuration of FMS or its subsystems. In practice however, these are among the most neglected aspects of the models being constructed at the present time. This is in part because the present generation of commercially available simulation languages and environments are in many respects ill-equipped to deal with the challenges posed by the modelling of FMS. This thesis investigates the potential suitability of contemporary reliability and fault-mode description and analysis tools for inclusion within simulation models. Contemporary research work in analytical arid simulation-based reliability and fault-mode modelling and analysis of computer-integrated and flexible manufacturing systems have been investigated. A number of guidelines for the development of CIM and FMS simulation models have been developed. Four standard FMS models are developed and utilized as application examples in thesis. Analytical reliability techniques have been re-examined with special reference to the modelling of computer-integrated and flexible manufacturing systems. The potential sources of error and pitfalls of discrete-event simulation modelling have been outlined. The effect of the host languages, the different simulation time advancement modes, and the traditionally prescribed break-down modelling techniques have been investigated. Contemporary technology, programming and modelling concepts have been illustrated using PCModel and PROLOG. Fundamentals of "accurate" knowledge-based simulation modelling have been described and an alternative object-like structural implementation in a declarative environment has been proposed for the simulation models and tools. A detailed examination of the pre-requisites for the accurate simulation of reliability, fault-mode, and condition monitoring aspects of FMS has been performed. Some of the reliability and fault-mode modelling and analysis tools have been considered for their potential suitability as discrete-event simulation tools. Various possible resource-aging modes, health monitoring modules, and repairability /maintenance models have been developed. Micro-failure modelling and analysis has been proposed as an alternative to the traditional macro-failure modelling and analysis. Techniques for modelling of systems incorporating combinations of new and used equipment have been developed. A multi-phase development and demonstration of simulation models incorporating the tools and concepts proposed and cultivated during the course of the research has been undertaken. In each case, the model's evolution and the subsequent variations in its behaviour have been followed and examined from its bare-bone prototype to its fully developed stage. The research results in better understanding of reliability, condition monitoring and knowledge representation issues in simulation.
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Narayanan, Sundaram. "Design and development of an object-oriented architecture for modeling and simulation of discrete-part manufacturing systems." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/24374.
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Xu, Shuqing. "A Simulation Study on Manufacturing System Reconfiguration." Thesis, University of Liverpool, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507510.
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