Automatic simulation of a robot program for a sequential manufacturing process

Robotica ◽  
1992 ◽  
Vol 10 (1) ◽  
pp. 45-56 ◽  
Author(s):  
Witold Jacak ◽  
Jerzy W. Rozenblit
Keyword(s):  
Technological Process ◽  
Manufacturing Process ◽  
Simulation Modelling ◽  
Simulation Approach ◽  
Event Simulation ◽  
Plan Generation ◽  
Robot Task ◽  
Robot Tasks ◽  
Automatic Simulation

SummaryThis paper presents a framework for the design of a hierarchical Simulator of a robotized sequential technological process. The framework employs concepts of discrerte event simulation modelling. The Simulator consists of two layers: the Simulator of a robot and technological process, and the interpreter and planner of robot tasks. A format specification of both layers is presented. The proposed simulation approach is expected to result in significant improvements in the robot task plan generation and in higher efficiency of a technological process.

scholarly journals Modeling Clinical Outcomes in Prostate Cancer: Application and Validation of the Discrete Event Simulation Approach

2018 ◽  
Vol 21 (4) ◽  
pp. 416-422 ◽  
Author(s):  
Feng Pan ◽  
Odette Reifsnider ◽  
Ying Zheng ◽  
Irina Proskorovsky ◽  
Tracy Li ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Clinical Outcomes ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Simulation Approach ◽  
Event Simulation

scholarly journals The application of a hybrid simulation modelling framework as a decision-making tool for TPM improvement

2019 ◽  
Vol 25 (3) ◽  
pp. 476-498 ◽  
Author(s):  
Omogbai Oleghe ◽  
Konstantinos Salonitis
Keyword(s):  
Discrete Event Simulation ◽  
Hybrid Model ◽  
Discrete Event ◽  
Simulation Modelling ◽  
Hybrid Modelling ◽  
Content Type ◽  
Event Simulation ◽  
Modelling Framework ◽  
Field Notes

Purpose The purpose of this paper is to promote a system dynamics-discrete event simulation (SD-DES) hybrid modelling framework, one that is useful for investigating problems comprising multifaceted elements which interact and evolve over time, such as is found in TPM. Design/methodology/approach The hybrid modelling framework commences with system observation using field notes which culminate in model conceptualization to structure the problem. Thereafter, an SD-DEShybrid model is designed for the system, and simulated to proffer improvement programmes. The hybrid model emphasises the interactions between key constructs relating to the system, feedback structures and process flow concepts that are the hallmarks of many problems in production. The modelling framework is applied to the TPM operations of a bottling plant where sub-optimal TPM performance was affecting throughput performance. Findings Simulation results for the case study show that intangible human factors such as worker motivation do not significantly affect TPM performance. What is most critical is ensuring full compliance to routine and scheduled maintenance tasks and coordinating the latter to align with rate of machine defect creation. Research limitations/implications The framework was developed with completeness, generality and reuse in view. It remains to be applied to a wide variety of TPM and non-TPM-related problems. Practical implications The developed hybrid model is scalable and can fit into an existing discrete event simulation model of a production system. The case study findings indicate where TPM managers should focus their efforts. Originality/value The investigation of TPM using SD-DES hybrid modelling is a novelty.

scholarly journals An Approach for Manufacturing Process Representation in Product Lifecycle Management

2013 ◽  
Vol 572 ◽  
pp. 239-244 ◽  
Author(s):  
Navid Shariatzadeh ◽  
Gunilla Sivard ◽  
Lars Lindberg
Keyword(s):  
Manufacturing Process ◽  
Discrete Event ◽  
Product Lifecycle Management ◽  
Process Data ◽  
Event Simulation ◽  
Process Representation ◽  
Efficient Management ◽  
Generic Data ◽  
Flow Information ◽  
Lifecycle Management

Current PLM systems have concentrated on product design, not on manufacturing engineering with its development of e.g. Material flows and layouts. This paper proposes an approach to describe how to represent the main required manufacturing process data using ontologies together with generic data standards. This approach makes it possible to develop translations between different software, and also providing users with the meaning of different concepts. It contributes to an efficient management of manufacturing information, with a focus on the material flow information as used in Discrete Event Simulation - DES.

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