Decision Support Using Simulation for Customer-Driven Manufacturing System Design and Operations Planning (original) (raw)
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2010
Discrete-event simulation (DES) has mainly been used as a production system analysis tool to evaluate new production system concepts, layout and control logic. Recent developments have made DES models feasible for use in the day-to-day operational production and planning of manufacturing facilities. Operative simulation models provide manufacturers with the ability to evaluate the capacity of the system for new orders, unforeseen events such as equipment downtime, and changes in operations. A simulation-based Decision Support System (DSS) can be used to help planners and schedulers organize production more efficiently in the turbulent global manufacturing. This paper presents the challenges for development and the efforts to overcome these challenges for the simulation-based DSS. The major challenges are: 1) data integration 2) automated simulation model creation and updates and 3) the visualization of results for interactive and effective decision making. A recent case study is also presented.
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Increasing the efficiency of production planning is a very hot topic from the perspective of introducing lean production into manufacturing. Simulation study dealing with simulation application for production planning support is a fundament for enhancing production systems and reduction of bottleneck occurrences. The article describes the possibilities of using computer simulation during production scheduling. A developed simulation model is adapted for dynamic loading of production plans for a given time period. Based on the simulation output, it is possible to verify production process and conduct additional simulation experiments. Changes in simulation model inputs result in changes on simulation (production) outputs, these can be easily compared with outputs of the original versions of production plans due to their archiving. The aim was to develop a simulation model which, after consequent adapting, will be used for creation of production plans in the future. The created model is ready for swift loading of incoming data and their consecutive evaluation through simulations with subsequent imaging diagram and output statistics. The developed simulation model can be fully controlled via a GUI (Graphical User Interface) which is fully opened for implementation of further optimization and scheduling algorithm with the aim of future enhancement of the simulation model.The simulation was created in collaboration with INNOV8 Ltd. via Plants Simulation software.
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Wseas Transactions on Systems, 2014
The objective of the following paper is to determine a quantitative approach is generic enough and able to reproduce the logical steps for the construction of tools for decision support systems. The heart of the problem is the use of simulation techniques based on the concepts of System Dynamics. A further innovation is logged in the System Dynamics is to demonstrate how an efficient technique used in decision support systems, not only strategic, but also tactics. The paper will consist of five sections. First we will describe the main characteristics of the DSS and their role in decision-making. In the second section we focus will shift on the simulation, in particular, we highlight the differences between the various techniques and its role within the DSS . In the last few three sections it will be a case study, which will be exposed, as we were able to solve a problem using the System Dynamics. In particular, there will be an in-depth analysis of the problem. In the fourth will turn to an analysis of data and the description of the simulation model. Finally, in the fifth and final section, we discuss how the simulation was carried out and the results thereof, the latter will be analyzed and be put forward ideas for resolving the problem, the simulation will be performed again and will report the results of various scenarios.
EPJ Web of Conferences
Analysis of production systems (PS) of discrete multi-nomenclature machine-building enterprises is a complex task, its solution is necessary to support decision-making during technical re-equipment, modernization or technological preparation of production. The paper shows a concept of joint use of operational scheduling systems and simulation modeling systems to improve the efficiency and adequacy of PS analysis. The problem of determining the deviation of the planned state of the PS from the simulated state and evaluating the level of stability and stability of the PS behaviour on its basis is considered. It is revealed that the proposed approach allows us to more adequately determine the timing of the production program, assess the stability of the PS behaviour when using various planning logics and algorithms, and choose the best one for subsequent use in a real PS.
Modeling and simulation for customer driven manufacturing system design and operations planning
Proceedings of the 2007 Winter Simulation Conference. S. G. Henderson, B. Biller, M.-H. Hsieh, J. Shortle, J. D. Tew, and R. R. Barton, eds. Washington D.C. 9th-12th December, 2007, 2007
Agility, speed and flexibility in production networks are required in today's global competition in the flat world. The accuracy of order date delivery promises is a key element in customer satisfaction. Agile production needs a management and evaluation tool for production changes. Discrete event simulation, DES, has mainly been used as a production system analysis tool, to evaluate new production system concepts, layout and control logic. DES can be used for operational planning as well, as shown in the paper. The simulation analysis gives a forecast of the future with given input values, thus production managers have time to react to potential problems and evaluate alternatives. A balance between multiple parallel customer orders and finite resources can be found. The authors are developing a system design evaluation method and also a decision support system for production managers. Two case studies with different approaches are described in the paper.
Viability of Discrete Event Simulation in the Early Design of Production Systems
2020
In the manufacturing industry, Discrete Event Simulation (DES) is recognised as a tool utilised in the analysis and optimisation of production systems. The effectiveness of DES, however, depends mainly on the data available from the system which is to be simulated and the quality of this data. This thesis investigates the viability of DES when a production system is in its early design stages with limited data available, and no complete system of which to translate into a virtual model. A case study was conducted where a production system in its early design stages was modelled and analysed by applying DES. Following the case study, the results of the case were analysed and a consensus was formed whether DES was usable as a tool to assist the system developers in the development process. Despite a lack of highquality data, the case produced useful results for the system developers, and a clear trend of the performance and behaviour of the system was observed. Improvement suggestions were passed on to the system developers to assist the developers and as an extension save time and money. With the support of successful case results, substantial proof that DES is viable to use as a design tool in the early design of production systems were found. However, this is not without its challenges, as the majority of the required data and the behaviour of the system has to be estimated, limiting the accuracy of the results. Despite these challenges, DES is a viable approach, and can be utilised to influence design changes and parameter improvements of production systems in their early design stages.