Integration of scheduling and discrete event simulation systems to improve production flow planning

Aiming at the design and development of integrated production planning and scheduling system(PPSS) of rare metal manufacturing, the goals and main functions of the integrated production planning and scheduling system were analyzed and designed based on the analysis of rare metal manufacturing enterprise’s main characteristics and management status. Through analysis of the present situation and trend of production planning and scheduling, an integrated system architecture was proposed. Key technologies of system integration and system developing were delivered, and some key functions of production planning and scheduling system which include annual plans management, monthly plans management, MRP management, production scheduling management and production Kanban management were developed based on JSP technology and WEB platform. The practical applications in some rare metal manufacturing enterprises were proved that the integrated production planning and scheduling system could enhance the manufacturing management level effectively.

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation R. M. Kippen, A. S. Hoover, M. S. Wallace, G. N. Pendleton, C. A. Meegan, G. J. Fishman, C. A. Wilson‐Hodge, C. Kouveliotou, G. G. Lichti, A. von Kienlin, H. Steinle, R. Diehl, J. Greiner, R. D. Preece, V. Connaughton, M. S. Briggs, W. S. Paciesas, P. N. Bhat; Instrument Response Modeling and Simulation for the GLAST Burst Monitor. AIP Conf. Proc. 12 July 2007; 921 (1): 590–591. https://doi.org/10.1063/1.2757466 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search

The dynamic simulation system of a pantograph and a catenary has been built by using the finite element method, in which the pantograph is equivalent to a three-mass-damper-stiffness system and the catenary contains only cable and beam elements. Considering droppers as nonlinear elements only stressed by tension, a sliding contact model of the pantograph and catenary is coupled by penalty function. Nodal displacement and element stress can be obtained by direct time integration. Finally, the contact force and deformation of the pantograph and catenary is achieved by entering the parameters in standards and from the actual Wuhan–Guangzhou high-speed railway into this simulation system. When comparing the standards, commercial software and measured data, the credibility of the simulation system can be verified. This simulation system provides an efficient way for the design and structure optimization of a pantograph and catenary system.

It is needless to say that much information on process planning and scheduling is very important for production activities. There are various restrictions in the factory. The most efficient production schedule must be planned in consideration of those restrictions. However, information handled by production scheduling is huge and it is very difficult to plan the best schedule. Therefore, skill is needed for production scheduling.In this research, authors use the Petri Net that is suitable for modeling the parallel, asynchronous system, and the nondetermination event to support production scheduling with the computer simulator of a shipyard. We aimed to implement the factory simulation system of the shipbuilding. We have already implemented the production scheduling support system in the shipyard that is partially of our research in CIM for shipbuilding.In order to use this result of our research more, we implement the system that can evaluate the effectiveness of generated production schedule by the factory simulator. Time is freely controlled in the computer and we implement the shipyard simulation system that can simulate the process of the production activity in a shipyard. This paper shows the effectiveness of the use the factory simulator.

In view of the problems existing in the production line of a Bluetooth speaker pen holder in an enterprise, such as unreasonable planning organization, the low utilization efficiency of equipment resources, long production cycle, and so on, MES system is proposed to carry out information transformation on it. According to the actual needs of production, the functional module of MES was built to realize the comprehensive monitoring and management of ‘‘people, raw materials, equipment, and environment’’ involved in production. Meanwhile, for the most difficult production scheduling problem in MES system, the minimum completion time of orders was taken as the optimization goal, and the genetic algorithm was used to construct and optimize the production schedule. The scheduling effect is simulated by Matlab, the results show that compared with manual scheduling, the optimized scheduling algorithm proposed in this paper can reduce the scheduling time, shorten the production cycle, and increase the production efficiency by 10% or more, and the larger the order volume, the more obvious the advantages, which provides conditions for the mass production of Bluetooth speaker pen holder.

Production scheduling is a form of decision-making, which plays a crucial role in manufacturing as well as in service industries. Many approaches are used in practice in order to find good and feasible solutions in the scheduling problems. Approaches based on Genetic Algorithms (GAs) are becoming more and more widespread nowadays. This paper is the result of the author's extensive study on the use of advanced technologies in the field of production planning and scheduling and follows his previous research on the use of expert systems in this field (Metaxiotis et al., 2002). The present paper presents famous GAs known in the literature and current applications, analyses the relative benefits and concludes by sharing thoughts and estimations on GAs future prospects in this area.

This paper considers a time window periodic maintenance strategy with different duration windows and job scheduling activities in a single machine environment. The aim is to minimize the number of tardy jobs through the integration of production scheduling and periodic maintenance intervals. A mixed-integer linear programming model (MILP) is proposed to optimize small-sized test instances. Furthermore, an ant colony optimization (ACO) algorithm is developed to solve larger sized test instances. Subsequently, to measure the efficiency of the solutions obtained by ACO, Moore's algorithm is also developed to benchmark with ACO. To test the efficiency and the effectiveness of the ACO algorithm, a set of data for small and large sized problems was generated in which several parameters were adopted and then ten replicates were solved for each combination. The small sized instances were solved by the MILP. Then, the results obtained showed that the proposed ACO was able to obtain the exact solutions within reasonable CPU times, thus, it outperformed the CPLEX solver with respect to CPU. The large sized instances were solved by the Moore's algorithm and compared to ACO. Then, the results obtained showed that the ACO outperforms Moore's algorithm for all the instances tested. It can be concluded that the developed ACOis very efficient and effective in solving the problem considered in this paper.

This paper introduces the Marine Electric Propulsion Dynamic Load Simulation System, and puts forward a new type ARM+DSP embedded system to implement the screw load dynamic simulation, which is the vital part of this real-time HIL simulation system. Hardware and software of ARM+DSP embedded system, as well as some problems in practical implementation and corresponding solutions are discussed in detail. Some simulation experiment results produced by the simulation system are also shown in the paper.

The article presents an analysis of possibilities offered by the use of modelling and simulation method in production management, by presenting its essence, types and examples of production process models. In addition, the article presents the characteristics of computer modelling and simulation systems, which help to streamline production processes. The most commonly used programs such as AnyLogic, ShowFlow 2 and Rockwell Arena were described in detail. The concepts of modelling and simulation have been also clarified.

Introduction. The article presents the results of a study of the capabilities of the Vietnamese fire service to respond to various destructive events using the KOSMAS computer simulation system (Emergency Services Computer Modeling System), and also presents and evaluates possible options for the development of fire service forces and means and their deployment in Vietnam. Goals and objectives. Study of the capabilities of the Vietnamese fire service to respond to various destructive events using simulation technologies. Methods. Simulation (computer) modelling. Results and discussion. By means of a simulation model, an assessment of the coverage by the response time of fire departments of all buildings and structures located on the territory of Vietnam is given and the number and locations of the new fire stations are determined. Conclusions. As a result of the simulation experiments, in addition to the existing fire stations, 11 new potential locations for fire stations were identified, the commissioning of which will reduce on 2-3 min average response time of the first fire units in the country. Taking into account the new fire stations, 87.4 % of all buildings and structures available on the territory of the country will be located in the 20-minute response time zone of the fire units (that is 6.4 % more compared to the existing option) and almost 94.4 % – in the 30-minute response time. Keywords: response time, fire stations, operational activities, simulation model, simulation system.

Unmitigated vibrations in drillstrings, Bottom Hole Assemblies (BHA) and related drilling components can cause significant financial losses and safety problems for drilling in deepwater environments. A drilling laboratory has been developed at Memorial University to study the effect of vibration on drilling performance. The distinctive capability of the simulator is that it utilizes closed loop control of hydraulic actuator, pneumatic actuators and variable speed motors to simulate complex drillstring, bit-rock, and drilling rig interactions that translate to axial and torsional vibrations and compliances. For offshore drilling simulation, the facility can apply low-frequency heave vibration as experienced by offshore drilling units, and higher-frequency vibration arising from drillstring motions, downhole tools or bit-rock interaction. The laboratory apparatus has a short, very stiff drillstring due to space constraints; however, the simulation system is able to re-create vibration arising from a much more compliant significantly longer drillstring, potentially thousands of meters in length. Hardware-in-the-Loop (HIL) system is designed as follows to make the laboratory drillstring behave like the lower portion of a deep-well BHA. A load cell records dynamic bit-rock interaction force, and uses it as the input to a high-fidelity nonlinear computer model of a full drillstring. The computer model predicts resulting bit motion, and the laboratory drill rig actuators apply that motion to the physical bit. If a deep well drillstring would be exhibiting bit bounce or stick-slip under certain conditions, then the bit in the laboratory will have the same motion. The effect of vibration mitigating measures such as changing WOB or RPM can then be investigated. Prior to implementation into the physical apparatus, the HIL, drillstring computer model and control algorithms were tested and refined through control simulation, as outlined in this paper. For these simulations, the physical rig is represented by a computer model, the "virtual rig". The virtual rig bit force is recorded and used to drive the deep-well drillstring simulation, which returns a predicted bit position at each time step. A controller generates a command signal to the virtual rig hydraulic actuators to drive the bit to the desired position. The results show that the short, stiff laboratory drillstring behaves like a deep well drillstring through use of HIL. The usage of the physical drilling simulator is expected to answer industry and academia questions on drilling vibration issues, mitigation measures for which would be impractical, if not impossible, to test through full-scale field trials. The authors feel that the drilling laboratory system and controller, for which the proof-of-concept is validated in this paper, is unique in its capability to integrate dynamic models of BHA, drill pipe, Mobile Offshore Drilling Unit (MODU) subsystems, and ocean environmental conditions in an HIL environment.

Based on morphogenesis model, driven by ΣTU (Accumulated Thermal Units), soil, variety and management databases and developed the process-based muskmelon dynamic growth simulation system using component-based software technology. The system was programmed in the .NET framework with the C# language and the database was built in Access 2003. The implemented system could be used for predicting growth progress and morphological architecture of muskmelon plant under various environments and management strategies. System functions include information management, dynamic growth simulation, chart and table output and system help. This system should be useful for perfect the morphogenesis process of greenhouse muskmelon and lay a foundation for development of visual agriculture.

Economic development is faced with the challenge of global financial crisis currently, and power economy is affected inevitably. To quantitatively evaluate the impact of financial crisis on power economy, a power economy simulation model of econometric model is proposed in this paper, and a dynamic simulation platform based on the proposed model named dynamic power economy simulation system (DPESS) is developed by multi-agent system. Agents DPESS involved consist of four categories: industry agent, government agent, market agent and resident agent. It provides to the policy makers a useful tool to evaluate the influence of economic uncertainty such as global financial crisis and to evaluate the effect of policy regulation impacting on the total electricity consumption. By simulating three different scenarios on electricity consumption, minor and discrete policy regulation is proposed.

This research proposes a two-layered supply chain model consisting of a set of clients and suppliers for dynamic supply chain management considering production and transportation scheduling problems. The model provides a method to optimize both production schedules and transportation schedules simultaneously, in order to estimate suitable prices and delivery times of products. A prototype of simulation system for dynamic supply chain management was developed and some computational experiments were carried out in order to verify the effectiveness of the model. Experimental results show that the prototype system is available to determine suitable production schedules and transportation schedules from the viewpoint of the number of contracted orders and the cost for wasteful shipping.

In our research, the Web-based Instruction System using the wearable computer is developed. The system consists of a wearable computer, a wireless communication system and web-applications. Web-applications are included to a time estimation system, a simulation system, an active instruction manual system, a scheduling system and a statues acquisition system.