Reducing weapons systems' life cycle costs with simulation modeling (original) (raw)

DEVELOPMENT OF A PROCEDURE FOR MANUFACTURING MODELLING AND SIMULATION

Simulation is a powerful tool for allowing designers imagine new systems and enabling them to both quantify and observe behaviour. Whether the system is a production line, an operating room or an emergency-response system, simulation can be used to study and compare alternative designs or to troubleshoot existing systems. With simulation models, we can explore how an existing system might perform if altered, or how a new system might behave before the prototype is even completed, thus saving on costs and lead times.

Simulating the AM Production Facility: a Configurable Software Tool for Strategic Facility-Level Planning

2021

Additive Manufacturing (AM)-one of several core digital technologies in "Industry 4.0"-is increasingly being deployed in industrial-scale contexts. The successful serial production of end-use polymer and metal components has demonstrated the possibility of AM as a primary production process in several applications. However, one of the principal challenges to greater adoption is a lack of organizational mastery over AM's implementation in production contexts, and, more specifically, the absence of clear decision-making tools to facilitate exploration of implementation scenarios. To this end, this work proposes the use of a discrete-event simulation-based software modelling tool to investigate the influences of different facilitylevel planning decisions on techno-economic characteristics of serial production by AM. By changing key parameters, this tool enables users to observe variation in part cost, identify the contributions of individual system elements to part cost, and assess overall system throughput. The tool enables users to identify locally optimal solutions and make corresponding planning decisions, and to explore limiting cases of cost and lead time. In conclusion, we identify the limitations in the current modeling approach, and propose additional directions for future study.

Manufacturing simulation: good practice, pitfalls, and advanced applications

International …, 2004

The paper describes manufacturing simulation with a focus on discrete event simulation and computer aided robotics. Some generic good practices, problems, and pitfalls in the use of simulation are described. Some advanced applications of manufacturing simulation are described and elucidated on the hand of a system for simulation-based service & maintenance. Simulation-based decision support and information fusion are closely related, and plans for novel synergistic research in these area are presented.

Manufacturing Simulators

Simulation modelling has been identified as one of the most powerful techniques available for the analysis and design of complex manufacturing systems. A number of manufacturing simulators have been designed in an effort to make it easier to use the simulation approach in the manufacturing environment. This paper will attempt to describe and evaluate the characteristics of some of the available manufacturing simulators as well as possible ways to alleviate some of the inherent disadvantages. This paper will also report on the preliminary design philosophy and specifications of a manufacturing simulation program generator (FACSIM) presently under development.

An integrated approach to develop a simulation model in manufacturing processes

International Journal of Systems Applications, …

The present paper faces the problem of simplifying simulation tools management in their industrial applications. An approach to implement efficiently and effectively simulation models in manufacturing systems, as decision support system, is deployed. The framework proposed is very flexible and easy to use because of the building block architecture and the automatic model generation. This model is focused on operational decisions as those concerning with scheduling problems.

Supporting manufacturing with simulation

Proceedings of the 28th conference on Winter simulation - WSC '96, 1996

In this paper, we identify and discuss the features we believe are key to the successful use of simulation as a manufacturing support tool. The discussion begins with three sample projects drawn from the authors' industrial and consulting experiences. Using these projects as motivation, we discuss the ideal project lifecyclemodel design, development, and deployment. For mo del design, we emphasize the importance of a clear and consistent specification, articulated in a written document. This specification should identify project customers, goals, and deliverables. We next review a range of model development options, stressing the existence of many non-simulation alternatives. We also discuss methods for model verification and validation. Finally, we consider the difficulties of model deployment, including simulation output analysis, data maintenance, and model integration. We close with several suggestions on how best to present simulation results to a management audience.

Simulation as a support tool in assembly systems planning

MATEC Web of Conferences

This paper deals with assumption that simulation is the only reliable method for manufacturing and assembly systems profiling. Simulation is essential software tool that improve design and planning of complex automated manufacturing and assembly systems. Systems with high level of complexity need to be tested even before they are constructed in real manufacturing plant. Elimination of errors in production before the first test production is initiated means huge savings in expenses and time. In this article are mentioned theoretical base of topic and example as a case study. For case study was used software Tecnomatix plant simulation from company SIEMENS.

Interfacing simulation with costing software to drive the transformation from prototype manufacturing to high volume manufacturing

Proceedings of the 31st conference on Winter simulation Simulation---a bridge to the future - WSC '99, 1999

Often companies are faced with the situation of "rampingup" production of a new product. Although this may seem like it should be a simple task, making the transition from a manufacturing environment that makes small volumes of some product well to an environment that must make large volumes well entails many decisions regarding equipment, scheduling and control and manufacturing philosophy. Many factors influence these decisions, including the need to meet production volume goals and costs associated with achieving these goals. This paper will discuss how discrete event simulation data can be interfaced with a costing software package to guide manufacturing line design decisions in a company transitioning from small volume, job-shop like manufacturing of a product to larger production run volume manufacturing.

Impact of Computer Aided Assembly Technologies and Simulation in Production Planning

Industry 4.0, 2017

Planning and simulation in assembly processes and whole production systems by computer aided systems is currently an advantage of big major companies. However, computer aided technologies in field of planning and simulation of production systems and assembly systems are future of every one company if they want to remain competitive. Computer aided systems in assembly and simulation of production processes help to save time thus financial resources needed for planning and optimization of every production systems and subsystems. This kind of computer aided systems are helping to eliminate errors in production processes and assembly systems before they can happen in reality. This paper deals with possibilities of improvement in production process planning by use of appropriate software. In this case we will use Tecnomatix Plant Simulation by SIEMENS company which. Use of this software is aimed for planning and optimizing of production systems with high level of complexity.

Manufacturing System Modeling and Performance

Today's scenario all manufacturing organizations are moving rapidly to adopt new process modeling, performance analysis through simulation, in order to design a new costeffective system. Organizations made several changes in their manufacturing systems to increase profit and to sustain their significance in global markets. Simulation modeling is a well accepted technique for improving process performance. In this study, the mineral water company operates the production line with less throughput, long cycle times, frequent machine failures and insufficient utilization of its resources. A simulation model is developed for the successful bottling and packaging of the production line by using Arena simulation software. The model is developed for AMWSC packaging process for returnable glass bottle Production Line. This model eliminates the bottlenecks in production line and provides optimal performance. By applying Effective Preventive Maintenance Strategy, the production line throughput is increased from 21.12% to 54.03% and the cycle time is reduced by 33.33%.