Design and Analysis of Integrated Manufacturing Systems (1988) / Chapter Skim
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Simulation in Designing and Scheduling Manufacturing Systems
Simulation in Designing and Scheduling Manufacturing Systems
Pages 134-147
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From page 134... ...
The 134 objective in designing a manufacturing facility is to obtain knowledge sufficient to make capital commitment decisions that satisfy production objectives, and these same characteristics are also important in controlling production. Simulation, when used for production scheduling, provides a vehicle for achieving the discipline necessary for effective production management on the factory floor, thereby helping to achieve productivity goals through efficient, effective use of new, integrated technology.
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From page 135... ...
On-line applications of simulation for real-time shop floor control purposes can be applied effectively only if the data supplied to the simulation models are accurate, organized, and timely. In the past these constraints have proved difficult to overcome.
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From page 136... ...
, the system can be viewed as being composed of two interrelated subsystems: a physical subsystem and a control subsystem. The physical subsystem, which transports, stores, and processes parts, consists of programmable machines, material handling equipment, and inprocess storage facilities.
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From page 137... ...
As an introduction to the application of simulation to detailed production scheduling, traditional tools, the limitations of these tools, and the ways that simulation technology can address these limitations are discussed. Traditional Scheduling Methods and Their Limitations Shop floor scheduling is an important task in managing a production system.
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From page 138... ...
The schedules generated are based on an accurate, realistic model of the production facility. Simulation-Based Scheduling Simulation practitioners are familiar with the ability of simulation models to predict system behavior in great detail.
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From page 139... ...
The requirements for simulation in a scheduling and control mode are discussed in more detail in a later section. Traditionally, large simulation models of production facilities have been too expensive to build and too cumbersome for use on a daily basis.
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From page 140... ...
The primary user is the factory floor production supervisor, who uses it to generate production schedules. The second user is the individual responsible for modeling the factory and developing the data that characterize the manufacturing system and the products that are produced in it.
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From page 141... ...
An easy-to-use interface must be provided to support the generation of production schedules as well as the need to manage the implementation of those schedules on the factory floor. The user interface is also an excellent application for expert system technology.
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From page 142... ...
The scheduler must have the ability to interact with both the management system and the scheduling tools to review the data provided and make production management decisions. Data Needs for Production Models Extensive external data requirements exist in scheduling and control applications.
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From page 143... ...
In a scheduling and control mode, the application is focused on a specific objective to generate achievable production plans in the shortest possible time. Therefore, the internal design of the simulation software kernel can be oriented toward fast execution in response to the needs of the production scheduler.
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From page 144... ...
The integration of expert system technology with simulation models should be relatively straightforward where the technical challenges will be to implement the integration in such a way that simulation execution performance is not degraded. A second application area is concerned with output analysis.
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From page 145... ...
The data needed to support effective simulation models for scheduling and control range from the list of orders from the MRP system down through shop floor status information. Machine characteristics, machine status, process plans, part descriptions, etc., are also required.
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From page 146... ...
Data integration requires solving the problem of effectively interfacing the automated system with the scheduling and control models to generate detailed production schedules efficiently. This process may require frequent access to data by the scheduling systems as production is monitored and the need to reschedule arises.
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From page 147... ...
New tools such as expert systems will help solve many of the problems. Cheaper and more powerful computer hardware will expand the availability of simulation technology to a wicler group of users.
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