A Sensor-Driven Approach to Distributed Shop Floor Planning and Control

Author(s):  
Lihui Wang ◽  
Weiming Shen ◽  
Xiaoqian Li ◽  
Sherman Lang

The objective of this research is to develop methodology and framework for distributed shop floor planning, real-time monitoring, and remote device control supported by intelligent sensors. An intelligent sensor serves runtime data from bottom up to facilitate high-level decision-making. It assures that correct decisions are made in a timely manner, if compared with the best estimations of engineers. Being an adaptive system, a so-designed framework will improve the flexibility and dynamism of shop floor operations, and provide a seamless integration among process planning, resource scheduling, job execution, process monitoring, and device control. This paper presents principles of the methodology, details in architecture design, module interactions, information flow, and a proof-of-concept prototype implementation.

2014 ◽  
Vol 1018 ◽  
pp. 563-570
Author(s):  
Marcel Wagner ◽  
Tim Schleimer ◽  
Tobias Seeberger ◽  
Gunther Reinhart

Production Planning and Control (PPC) does not only play an important role in the classical field of production. Concerning a trend to more customer related products and a so called buyers market, also the not yet strongly automated businesses have to think about topics like PPC. By forming a new automated shop floor in a commercial kitchen for example, new optimization criteria in the PPC play a crucial role. Especially in the manner of scheduling jobs different constraints concerning the handled products come up. This paper demonstrates a possibility to extend the criteria of PPC with the subjective parameter of product quality. This approach allows influencing an oven-control to reach the best product quality in its processing.


2018 ◽  
Vol 66 (2) ◽  
pp. 160-182
Author(s):  
Benjamin C. Heinrich ◽  
Thorsten Luettel ◽  
Dennis Fassbender ◽  
Patrick Burger ◽  
Felix Ebert ◽  
...  

AbstractIn this paper, we describe the hardware and software components of a fully autonomous prototype delivery vehicle. Equipped with a robotic arm, the demonstrator is capable of delivering packages and picking up new ones by interacting with custom-made delivery boxes. As highly accurate positioning w. r. t. a box is required for successful handover of packages, we track the pose (position and orientation) of the box using a high-resolution on-board camera. The resulting estimate is relayed to our planning and control modules, which ensure that the vehicle reaches its required pose with centimeter-level accuracy.In order to deliver packages, the car needs to autonomously navigate our test facility, avoiding static and dynamic obstacles while obeying simple traffic rules. As one focus is on the practical challenges encountered when building a prototype, we cover issues ranging from sensor calibration and system identification to perception, planning, control, and the implementation of high-level behaviors. While some of the proposed solutions to these problems are not necessarily novel, they allowed us to demonstrate the vehicle’s capabilities after a development phase of less than 12 months.


Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-21 ◽  
Author(s):  
Gergely Marcell Honti ◽  
Janos Abonyi

Intelligent sensors should be seamlessly, securely, and trustworthy interconnected to enable automated high-level smart applications. Semantic metadata can provide contextual information to support the accessibility of these features, making it easier for machines and humans to process the sensory data and achieve interoperability. The unique overview of sensor ontologies according to the semantic needs of the layers of IoT solutions can serve a guideline of engineers and researchers interested in the development of intelligent sensor-based solutions. The explored trends show that ontologies will play an even more essential role in interlinked IoT systems as interoperability and the generation of controlled linkable data sources should be based on semantically enriched sensory data.


AI Magazine ◽  
2013 ◽  
Vol 34 (3) ◽  
Author(s):  
Lara S. Crawford

A recent trend in intelligent machines and manufacturing has been toward reconfigurable manufacturing systems, which move away from the idea of a fixed factory line executing an unchanging set of operations, and toward the goal of an adaptable factory structure. The logical next challenge in this area is that of on-line reconfigurability. With this capability, machines can reconfigure while running, enable or disable capabilities in real time, and respond quickly to changes in the system or the environment (including faults). We propose an approach to achieving on-line reconfigurability based on a high level of system modularity supported by integrated, model-based planning and control software. Our software capitalizes on many advanced techniques from the artificial intelligence research community, particularly in model-based domain-independent planning and scheduling, heuristic search, and temporal resource reasoning. We describe the implementation of this design in a prototype highly modular, parallel printing system.


2016 ◽  
Vol 4 (3) ◽  
Author(s):  
Walther Azzolini Junior ◽  
José Luís Garcia Hermosila ◽  
Antônio Marcos Vitoreli ◽  
Rubens Parada Neto

2004 ◽  
Vol 108 (1082) ◽  
pp. 169-184 ◽  
Author(s):  
B. Manimala ◽  
G. D. Padfield ◽  
D. Walker ◽  
M. Naddei ◽  
L. Verde ◽  
...  

This paper presents the first results from research into active control of structural load alleviation (SLA) for tiltrotor aircraft carried out in the European ‘critical technology’ RHILP project. The importance of and the need for SLA in tiltrotors are discussed, drawing on previous US experience reported in the open literature. The paper addresses the modelling aspects in some detail; hence forming the foundation for both the FLIGHTLAB simulated XV-15 and EUROTILT configurations. The primary focus of attention is the suppression of in-plane rotor yoke loads for pitch manoeuvres in airplane mode; without suppression these loads would result in a very high level of fatigue damage. Multi-variable control law design methods are used to develop controller schemes and load suppression of 80-90% is demonstrated using rotor cyclic control, albeit at a 20-30% performance penalty. However, rotor flapping transients tend to increase by the action of the SLA system. A dual-objective control design approach demonstrates the effectiveness of suppressing both loads and flapping simultaneously.


1976 ◽  
Vol 1 (4) ◽  
pp. 1-18 ◽  
Author(s):  
S.K. Bhattacharyya

The extent of effectiveness of management control reports has not matched the great promise generated by the development of concepts of management planning and control, and advances made in data processing in the last decade. The primary reason for this gap is the monetary orientation of such reports. Analyses of current theory and practice indicate that while the requirements of non-monetary or operational data for control has been recognized, they have not been translated into an operational and managerial framework. Recent studies of Hofstede, Sord and Welsch, and Bhattacharyya and Camillas have highlighted the need for integrating monetary and non-monetary data into a common framework. They have also suggested operational and managerial guidelines for designing management control reports reflecting the critical variables at various levels of management. In this article, the 'nature of such variables has been analysed in some detail and illustrated, assumptions for designing effective management planning and control reports have been formulated, and a conceptual framework has been suggested.


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