Relevant bibliographies by topics / Theory of Constraints, Sequencing and Discrete Event

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Theory of Constraints, Sequencing and Discrete Event'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Theory of Constraints, Sequencing and Discrete Event"

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Kang, Parminder Singh, and Rajbir Singh Bhatti. "Continuous process improvement implementation framework using multi-objective genetic algorithms and discrete event simulation." Business Process Management Journal 25, no. 5 (2019): 1020–39. http://dx.doi.org/10.1108/bpmj-07-2017-0188.

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Purpose Continuous process improvement is a hard problem, especially in high variety/low volume environments due to the complex interrelationships between processes. The purpose of this paper is to address the process improvement issues by simultaneously investigating the job sequencing and buffer size optimization problems. Design/methodology/approach This paper proposes a continuous process improvement implementation framework using a modified genetic algorithm (GA) and discrete event simulation to achieve multi-objective optimization. The proposed combinatorial optimization module combines
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Rezig, Sadok, Wajih Ezzeddine, Sadok Turki, and Nidhal Rezg. "Mathematical Model for Production Plan Optimization—A Case Study of Discrete Event Systems." Mathematics 8, no. 6 (2020): 955. http://dx.doi.org/10.3390/math8060955.

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This paper proposes an optimal scheduling model under production and maintenance constraints for a real case of a discrete event system. The intent was to use the rich mathematical theory and algorithms of optimization in the study of this important class of systems. The current study detailed firstly a new approach for mapping a simulation event relationship graph into a mixed-integer program, with a flexible workshop real case. Several other potential applications of the mathematical model are examined, thanks to the model constraints flexibility characteristics, including a general case of
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Santos, Eduardo, Agnelo Vieira, Sauro Schaidt, and Eduardo Loures. "Modeling constraint-based processes: A supervisory control theory application." Computer Science and Information Systems 11, no. 4 (2014): 1229–47. http://dx.doi.org/10.2298/csis131029026s.

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Constraint-based processes require a set of rules that limit their behavior to certain boundaries. In these processes, the control flow is defined implicitly as a set of constraints or rules, and all possibilities that do not violate any of the given constraints are allowed to be executed. The present paper proposes a new approach to deal with constraint-based processes. The proposed approach is based on Supervisory Control Theory, a formal foundation for building controllers for discrete-event systems. The controller proposed in this paper monitors and restricts execution sequences of activit
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Cheng, Lihong, Lei Feng, and Zhiwu Li. "Model abstraction for discrete-event systems by binary linear programming with applications to manufacturing systems." Science Progress 104, no. 3 (2021): 003685042110308. http://dx.doi.org/10.1177/00368504211030833.

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Model abstraction for finite state automata is helpful for decreasing computational complexity and improving comprehensibility for the verification and control synthesis of discrete-event systems (DES). Supremal quasi-congruence equivalence is an effective method for reducing the state space of DES and its effective algorithms based on graph theory have been developed. In this paper, a new method is proposed to convert the supremal quasi-congruence computation into a binary linear programming problem which can be solved by many powerful integer linear programming and satisfiability (SAT) solve
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Yun-xiang, Han, and Huang Xiao-qiong. "Conflict-free trajectory planning based on the model predictive control theory." Archives of Transport 37, no. 1 (2016): 77–85. http://dx.doi.org/10.5604/08669546.1203205.

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Model Predictive Control (MPC) is a model-based control method based on a receding horizon approach and online optimization. A key advantage of MPC is that it can accommodate constraints on the inputs and outputs. This paper proposes a max-plus general modeling framework adapted to the robust optimal control of air traffic flow in the airspace. It is shown that the problem can be posed as the control of queues with safety separation-dependent service rate. We extend MPC to a class of discrete-event system that can be described by models that are linear in the max-plus algebra with noise or mod
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Alzubi, Emad, Anas M. Atieh, Khaleel Abu Shgair, John Damiani, Sima Sunna, and Abdallah Madi. "Hybrid Integrations of Value Stream Mapping, Theory of Constraints and Simulation: Application to Wooden Furniture Industry." Processes 7, no. 11 (2019): 816. http://dx.doi.org/10.3390/pr7110816.

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This paper studies manufacturing processes in a wooden furniture manufacturing company. The company suffers from long manufacturing lead times and an unbalanced production line. To identify sources of waste and delay value stream mapping (VSM) and a discrete event simulation model is implemented. VSM is used to visualize and analyze the major processes of the company and provide quantifiable KPIs; the manufacturing lead-time and then Overall Equipment Effectiveness (OEE) settings. A discrete event simulation model is then built to analyze the company on a wider scale and provide the data requi
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Li, Wen-Jun, and Xiao Feng. "Delay propagation cellular automata model based on max-plus algebra for robustness evaluations of non-periodic train operation plans." Modern Physics Letters B 34, no. 21 (2020): 2050213. http://dx.doi.org/10.1142/s0217984920502139.

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Based on discrete-event dynamic system theory, train operation events in high-speed railway transportation systems are regarded as the basic elements of these dynamic systems. For non-periodic timetable railways in China, based on a max-plus algebra method, a delay propagation cellular automata model is proposed to evaluate the robustness of high-speed train operation plans. The cellular automata evolution rules that can reproduce the delay propagation state of trains mainly consider train safety headway constraints, passenger transfer constraints, and electric multiple unit (EMU) connection c
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Ganbold, Odkhishig, Kaustav Kundu, Haobin Li, and Wei Zhang. "A Simulation-Based Optimization Method for Warehouse Worker Assignment." Algorithms 13, no. 12 (2020): 326. http://dx.doi.org/10.3390/a13120326.

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The general assignment problem is a classical NP-hard (non-deterministic polynomial-time) problem. In a warehouse, the constraints on the equipment and the characteristics of consecutive processes make it even more complicated. To overcome the difficulty in calculating the benefit of an assignment and in finding the optimal assignment plan, a simulation-based optimization method is introduced. We first built a simulation model of the warehouse with the object-oriented discrete-event simulation (O2DES) framework, and then implemented a random neighborhood search method utilizing the simulation
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Goldstein, Rhys, Simon Breslav, and Azam Khan. "Practical aspects of the DesignDEVS simulation environment." SIMULATION 94, no. 4 (2017): 301–26. http://dx.doi.org/10.1177/0037549717718258.

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DesignDEVS is a simulation development environment based on the Discrete Event System Specification (DEVS) formalism. This paper provides an in-depth overview of the software while focusing on the practical considerations influencing its design. Practitioners who stand to benefit from systems engineering will approach formalism-based simulation tools with little knowledge of the underlying theory. It is therefore important that theoretical principles, such as the separation of model and simulator, be emphasized by the user interface. Other practical aspects of DesignDEVS include the simplicity
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Kachergis, George, Dean Wyatte, Randall C. O'Reilly, Roy de Kleijn, and Bernhard Hommel. "A continuous-time neural model for sequential action." Philosophical Transactions of the Royal Society B: Biological Sciences 369, no. 1655 (2014): 20130623. http://dx.doi.org/10.1098/rstb.2013.0623.

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Action selection, planning and execution are continuous processes that evolve over time, responding to perceptual feedback as well as evolving top-down constraints. Existing models of routine sequential action (e.g. coffee- or pancake-making) generally fall into one of two classes: hierarchical models that include hand-built task representations, or heterarchical models that must learn to represent hierarchy via temporal context, but thus far lack goal-orientedness. We present a biologically motivated model of the latter class that, because it is situated in the Leabra neural architecture, aff
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Dissertations / Theses on the topic "Theory of Constraints, Sequencing and Discrete Event"

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Souza, Fernanda Belmira da Silva. "Simulador de sequenciamento de produção baseado na teoria das restrições." Universidade Federal do Amazonas, 2011. http://tede.ufam.edu.br/handle/tede/3507.

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Made available in DSpace on 2015-04-22T22:10:22Z (GMT). No. of bitstreams: 1 fernanda.pdf: 756095 bytes, checksum: d71d2fe80fb4ed12bd1db79e4ca8e398 (MD5) Previous issue date: 2011-08-30<br>This paper presents a mathematical model and a computational algorithm based on the Theory of Constraints (TOC), using techniques of discrete event simulation by a tooling production, achieving a reduction of the production cycle, allowing better use of equipment. This work demonstrates that the application of TOC in a manufacturing environment simulated using discrete event techniques is feasible for co
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Shorey, Rajeev. "Modelling And Analysis Of Event Message Flows In Distributed Discrete Event Simulators Of Queueing Networks." Thesis, Indian Institute of Science, 1995. http://hdl.handle.net/2005/148.

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Distributed Discrete Event Simulation (DDES) has received much attention in recent years, owing to the fact that uniprocessor based serial simulations may require excessive amount of simulation time and computational resources. It is therefore natural to attempt to use multiple processors to exploit the inherent parallelism in discrete event simulations in order to speed up the simulation process. In this dissertation we study the performance of distributed simulation of queueing networks, by analysing queueing models of message flows in distributed discrete event simulators. Most of the prior
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Sadat, Somayeh. "Theory of Constraints for Publicly Funded Health Systems." Thesis, 2009. http://hdl.handle.net/1807/17826.

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This thesis aims to fill the gaps in the literature of the theory of constraints (TOC) in publicly funded health systems. While TOC seems to be a natural fit for this resource-constrained environment, there are still no reported application of TOC’s drum-buffer-rope tool and inadequate customizations with regards to defining system-wide goal and performance measures. The “Drum-Buffer-Rope for an Outpatient Cancer Facility” chapter is a real world case study exploring the usefulness of TOC’s drum-buffer-rope scheduling technique in a publicly funded outpatient cancer facility. With the use of
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Conference papers on the topic "Theory of Constraints, Sequencing and Discrete Event"

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Rachidi, Sara, Edouard Leclercq, Yoann Pigne, and Dimitri Lefebvre. "PN modeling of discrete event systems with temporal constraints." In 2017 21st International Conference on System Theory, Control and Computing (ICSTCC). IEEE, 2017. http://dx.doi.org/10.1109/icstcc.2017.8107013.

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Harnett, C. K., and C. J. Kimmer. "Digital Origami From Geometrically Frustrated Tiles." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13477.

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This paper describes “digital origami” from geometrically frustrated tiles: arrays of structures that cannot attain an energetically favorable flat state because of internal constraints. Each tile can typically snap between two symmetric energy-minimizing states, and neighboring tiles are coupled so that a collection of binary tile states determines the local curvature of the entire sheet. Modular structures like these tiles give great advantages in manufacturing and in predictive simulation, and their discrete nature is a good match for digital readout and control of self-folding systems. The
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