A Modeling and Design Method for Flexible Manufacturing System Controller Software

1996 ◽  
Author(s):  
Paul C. Xirouchakis
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Design Method ◽  
Conveyor Belt ◽  
Computer Integrated Manufacturing ◽  
Concurrent Software ◽  
Material Transportation ◽  
Analysis Models ◽  
System Controller ◽  
And Storage

Abstract “Entity-life modeling” (ELM) is a general method for the modeling and design of concurrent software. One area where it can applied is for the control software for flexible manufacturing systems (FMS). The application of ELM allows the integration and overall control of the operation of the numerically controlled machinery, the material transportation and storage facilities into automated factories within the context of computer integrated manufacturing (CIM). The development of flexible manufacturing has been hampered by the lack of such a general approach to FMS software design. ELM is based on the principle that processes and objects in the software are patterned after concurrent “threads of events” and objects in the problem domain. A job in an FMS represents such a thread with events such as “pick from storage”, “place on stand”, etc., which all occur sequentially and with certain time intervals. Several job threads are in progress simultaneously as different jobs are being processed. In the software, a thread of events is represented by a process, such as an Ada task. The direct coupling between the analysis and an efficient control-system software implementation is an advantage over other analysis models, such as Petri nets. A simple FMS is used as an example. It consists of a storage facility and a number of numerically controlled workstations. A conveyor belt is used for the transportation of parts between storage and workstations and between workstations.

scholarly journals Improving Just-in-Time Delivery Performance of IoT-Enabled Flexible Manufacturing Systems with AGV Based Material Transportation

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6333 ◽  
Author(s):  
Fengjia Yao ◽  
Bugra Alkan ◽  
Bilal Ahmad ◽  
Robert Harrison
Keyword(s):  
Decision Making ◽  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Discrete Event ◽  
Mixed Integer ◽  
Shop Floor ◽  
Just In Time ◽  
Delivery Performance ◽  
Material Transportation

Autonomous guided vehicles (AGVs) are driverless material handling systems used for transportation of pallets and line side supply of materials to provide flexibility and agility in shop-floor logistics. Scheduling of shop-floor logistics in such systems is a challenging task due to their complex nature associated with the multiple part types and alternate material transfer routings. This paper presents a decision support system capable of supporting shop-floor decision-making activities during the event of manufacturing disruptions by automatically adjusting both AGV and machine schedules in Flexible Manufacturing Systems (FMSs). The proposed system uses discrete event simulation (DES) models enhanced by the Internet-of-Things (IoT) enabled digital integration and employs a nonlinear mixed integer programming Genetic Algorithm (GA) to find near-optimal production schedules prioritising the just-in-time (JIT) material delivery performance and energy efficiency of the material transportation. The performance of the proposed system is tested on the Integrated Manufacturing and Logistics (IML) demonstrator at WMG, University of Warwick. The results showed that the developed system can find the near-optimal solutions for production schedules subjected to production anomalies in a negligible time, thereby supporting shop-floor decision-making activities effectively and rapidly.

Expert Systems: Implications for Operations Management

1990 ◽  
Vol 90 (6) ◽  
pp. 12-16
Author(s):  
Yunus Kathawala
Keyword(s):  
Expert Systems ◽  
Process Design ◽  
Operations Management ◽  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Control Process ◽  
Computer Integrated Manufacturing ◽  
Design Quality ◽  
Operations Planning

Several examples of successful expert systems applications are presented. Examples of expert systems as applied in process planning, operations planning, inventory control, process design, quality control and scheduling are covered, and the performance of these expert systems is described. Expert systems will become an essential part of computer‐integrated manufacturing (CIM) and flexible manufacturing systems (FMS) because they can perform several of the tasks mentioned above.

FMS in CIM (Flexible Manufacturing Systems in Computer Integrated Manufacturing)

Robotica ◽  
1985 ◽  
Vol 3 (4) ◽  
pp. 205-214 ◽  
Author(s):  
Paul G. Ranky
Keyword(s):  
Data Processing ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Distributed Processing ◽  
Processing System ◽  
Computer Integrated Manufacturing ◽  
Test Assembly ◽  
Cad Cam ◽  
Machining Test ◽  
High Level

Computer Integrated Manufacture (CIM) is concerned with providing computer assistance, control and high level integrated automation at all levels of the manufacturing industries, including the business data processing system, CAD, CAM and FMS, by linking islands of automation into a distributed processing system. The technology applied in CIM makes intensive use of distributed computer networks and data processing techniques, Artificial Intelligence and Database Management Systems. FMS in this aspect plays the role of a highly efficient and “ready to react to random requests” manufacturing facility (e.g. machining, test, assembly, welding, etc.) in this “total concept”. (Figure 1)

Design of Simulation Model for Production Scheduling in Flexible Manufacturing Systems

2011 ◽  
Vol 230-232 ◽  
pp. 814-818
Author(s):  
Bin Zeng ◽  
Rui Wang ◽  
Hong Yu Chen
Keyword(s):  
Simulation Model ◽  
Production Scheduling ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Computer Integrated Manufacturing ◽  
Computer Simulation Model ◽  
Mean Flow ◽  
Control Logic ◽  
Mean Flow Time

The complex interaction and the high costs of modern manufacturing systems make it necessary to evaluate their use performance. Production scheduling problem is one of the key problems of research of manufacturing systems since with a proper scheduling, the utilization of resources is optimized and orders are produced on time which improves the shop performance and associated cost benefits. However the complexity of modern production systems makes the use of analytical tools more difficult. Thus a computer simulation model of the existing computer integrated manufacturing system based on the control logic that describes the operation of the system is developed to test the performance of different scheduling rules with respect to mean flow time, machine efficiency and total run time as performance measures. According to the results of experiments, the model agrees with the real system.

scholarly journals The Optimal Sequence of Production Orders, Taking into Account the Cost of Delays

2016 ◽  
Vol 7 (2) ◽  
pp. 21-28 ◽  
Author(s):  
Robert Dylewski ◽  
Andrzej Jardzioch ◽  
Irene Krebs
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Optimal Order ◽  
Optimal Sequence ◽  
Unit Costs ◽  
Delay Times ◽  
Production Orders ◽  
The Cost ◽  
And Storage ◽  
Optimum Sequence

Abstract In flexible manufacturing systems the most important element in determining the proper course of technological processes, transport and storage is the control and planning subsystem. The key planning task is to determine the optimal sequence of production orders. This paper proposes a new method of determining the optimal sequence of production orders in view of the sum of the costs related to the delayed execution of orders. It takes into account the different unit costs of delays of individual orders and the amount of allowable delays of orders involving no delay costs. The optimum sequence of orders, in the single-machine problem, in view of the sum of the costs of delays may be significantly different from the optimal order, taking into account the sum of delay times.

A New Approach for Automation of Locating Planning of Workpiece

2010 ◽  
Vol 458 ◽  
pp. 48-54 ◽  
Author(s):  
T.J. Wu ◽  
Pei Huang Lou ◽  
Z.G. Man
Keyword(s):  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Influence Factors ◽  
Computer Integrated Manufacturing ◽  
New Approach ◽  
Machining Quality ◽  
Locator Layout

Fixtures are used to locate and constrain firmly a workpiece during machining operation. Flexible and efficient fixturing has become an important issue in flexible manufacturing systems and computer integrated manufacturing system. Locating planning is the basis of the fixturing design, which has a direct influence on the quality of the clamping scheme and the machining quality of workpiece. This paper presents a new approach for locating planning of workpiece. Firstly, it will automatically select the primary locating surfaces with consideration of 5 influence factors: constraint freedoms, surface feature, valid locating area, tolerance relationship and surface roughness. Then the other locating surfaces are determined by retrieving similar workpieces under the guideline of 4 locating methods which will make the best of already available locating planning. Finally the optimal locator layout is fast achieved with GA with the goal of minimal locating tolerance.

Automated Generation of Fixture Configuration Design

1997 ◽  
Vol 119 (2) ◽  
pp. 208-219 ◽  
Author(s):  
Yiming (Kevin) Rong ◽  
Yong Bai
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Computer Integrated Manufacturing ◽  
Configuration Design ◽  
Prototype System ◽  
Fixture Design ◽  
Modular Fixture ◽  
Automated Generation ◽  
Modular Fixtures ◽  
Fixture Configuration

Flexible fixturing is a necessary aspect of Flexible Manufacturing Systems (FMS) and Computer-Integrated Manufacturing Systems (CIMS). Modular fixtures are most widely used in industry for job and batch production. Computer-Aided Fixture Design (CAFD) has become a research focus in implementing FMS and CIMS. Fixture configuration design is an important issue in the domain of CAFD. A review of the current research in CAFD indicates that a major problem impeding the automated generation of fixture configurations is the lack of studies on fixture structures. This paper investigates fundamental structures of dowel-pin based modular fixtures and fixturing characteristics of commonly used modular fixture elements. A Modular Fixture Element Assembly Relationship Graph (MFEARG) is designed to represent combination relationships between fixture elements. Based on MFEARG, algorithms are developed to search all suitable fixturing unit candidates and mount them into appropriate positions on a baseplate with interference checking. A prototype system for automated design of dowel-pin modular fixture configurations is presented in this paper. Fixture design examples are given at the end of the paper.

Automated Generation of Fixture Configuration Design

1995 ◽  
Author(s):  
Yong Bai ◽  
Yiming (Kevin) Rong
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Computer Integrated Manufacturing ◽  
Configuration Design ◽  
Prototype System ◽  
Fixture Design ◽  
Modular Fixture ◽  
Automated Generation ◽  
Modular Fixtures ◽  
Fixture Configuration

Abstract Flexible fixturing is a necessary aspect of flexible manufacturing systems (FMS) and computer-integrated manufacturing systems (CIMS). Modular fixtures are most widely used in industry for job and small batch production. Computer-aided fixture design (CAFD) has become a research focus in implementing FMS and CIMS. Fixture configuration design is an important issue in CAFD. A review of the current research in CAFD indicates that one major problem impeding the automated generation of fixture configuration design is the negligence of study on fixture structures. This paper investigates fundamental structures of dowel-pin modular fixtures and fixturing characteristics of commonly-used modular fixture elements. A modular fixture element assembly relationship graph (MFEARG) is designed to represent combination relationships between fixture elements. Based on MFEARG, algorithms are developed to search all suitable fixturing unit candidates and mount them into appropriate positions on baseplate with an interference checking. A prototype system for automated design of dowel-pin modular fixture configurations is presented in this paper. Fixture design examples are given in the end of the paper.

scholarly journals Design Method on Optimal Flexible Manufacturing Systems

1997 ◽  
Vol 30 (1) ◽  
pp. 263-266
Author(s):  
Garcia R. Ferreiro ◽  
X.C. Martínez Pardo ◽  
Paz J. Vidal ◽  
Botana J. Coego
Keyword(s):  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Design Method
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