scholarly journals Intelligent Colored Token Petri Nets for Modeling, Control, and Validation of Dynamic Changes in Reconfigurable Manufacturing Systems

Processes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 358 ◽  
Author(s):  
Husam Kaid ◽  
Abdulrahman Al-Ahmari ◽  
Zhiwu Li ◽  
Reggie Davidrajuh

The invention of reconfigurable manufacturing systems (RMSs) has created a challenging problem: how to quickly and effectively modify an RMS to address dynamic changes in a manufacturing system, such as processing failures and rework, machine breakdowns, addition of new machines, addition of new products, removal of old machines, and changes in processing routes induced by the competitive global market. This paper proposes a new model, the intelligent colored token Petri net (ICTPN), to simulate dynamic changes or reconfigurations of a system. The main idea is that intelligent colored tokens denote part types that represent real-time knowledge about changes and status of a system. Thus, dynamic configurations of a system can be effectively modeled. The developed ICTPN can model dynamic changes of a system in a modular manner, resulting in the development of a very compact model. In addition, when configurations appear, only the changed colored token of the part type from the current model has to be modified. Based on the resultant ICTPN model, deadlock-free, conservative, and reversible behavioral properties, among others, are guaranteed. The developed ICTPN model was tested and validated using the GPenSIM tool and compared with existing methods from the literature.

2014 ◽  
Vol 556-562 ◽  
pp. 6034-6037
Author(s):  
Dong Man Yu ◽  
Zhi Hua Gao ◽  
Xiao Jing Li ◽  
Di Wang

Reconfigurable manufacturing system is essential for sustainable change, rapid response ability important characteristics, research, development and application of manufacturing system. The main architecture and major characteristics of reconfigurable manufacturing systems is explored. Normally, the quality of RMS can be evaluated by several factors. Firstly, the gross cost of production and reconstruction should be less. Secondly, The time of design and manufacture (ascent time) should be shorter. Thirdly, the utilization ratio of existed resource should reach to the utmost. Finally, the cargo stream planning in common space should keep in optimal condition. At last, The author give an example to shown the RMS, the hydraulic integrated package for a gearshift device in automobile, are mentioned to compare and analyze.


2020 ◽  
Vol 10 (15) ◽  
pp. 5270 ◽  
Author(s):  
Husam Kaid ◽  
Abdulrahman Al-Ahmari ◽  
Zhiwu Li ◽  
Reggie Davidrajuh

In reconfigurable manufacturing systems (RMSs), the architecture of a system can be modified during its operation. This reconfiguration can be caused by many motivations: processing rework and failures, adding new products, adding new machines, etc. In RMSs, sharing of resources may lead to deadlocks, and some operations can therefore remain incomplete. The objective of this article is to develop a novel two-step solution for quick and accurate reconfiguration of supervisory controllers for deadlock control in RMSs with dynamic changes. In the first step, the net rewriting system (NRS) is used to design a reconfigurable Petri net model under dynamic configurations. The obtained model guarantees boundedness behavioral property but may lose the other properties of a Petri net model (i.e., liveness and reversibility). The second step develops an automatic deadlock prevention policy for the reconfigurable Petri net using the siphon control method based on a place invariant to solve the deadlock problem with dynamic structure changes in RMSs and achieve liveness and reversibility behavioral properties for the system. The proposed approach is tested using examples in the literature and the results highlight the ability of the automatic deadlock prevention policy to adapt to RMSs configuration changes.


Author(s):  
A M Farid

In recent years, many design approaches have been developed for automated manufacturing systems in the fields of reconfigurable manufacturing systems (RMSs), holonic manufacturing systems (HMSs), and multiagent systems (MASs). One of the principle reasons for these developments has been to enhance the reconfigurability of a manufacturing system, allowing it to adapt readily to changes over time. However, to date reconfigurability assessment has been limited. Hence the efficacy of these design approaches remains inconclusive. This paper is the second of two in this issue to address reconfigurability measurement. Specifically, ‘reconfiguration ease’ has often been qualitatively argued to depend on the system's modularity. For this purpose, this paper develops modularity measures in a three-step approach. Firstly, the nature of typical manufacturing system interfaces is discussed. Next, the qualitative understanding underlying existing modularity measures is distilled. Finally, these understandings are synthesized for a manufacturing system context. This approach forms the second of two pillars that together lay the foundation for an integrated reconfigurability measurement process described elsewhere.


Author(s):  
Yifan Dong ◽  
Tangbin Xia ◽  
Lei Xiao ◽  
Ershun Pan ◽  
Lifeng Xi

Abstract Real-time condition acquisition and accurate time-to-failure (TTF) prognostic of machines are both crucial in the condition based maintenance (CBM) scheme for a manufacturing system. Most of previous researches considered the degradation process as a population-specific reliability characteristics and ignored the hidden differences among the degradation process of individual machines. Moreover, existing maintenance scheme are mostly focus on the manufacturing system with fixed structure. These proposed maintenance scheme could not be applied for the reconfigurable manufacturing system, which is quite adjustable to the various product order and customer demands in the current market. In this paper, we develop a systematic predictive maintenance (PM) framework including real-time prognostic and dynamic maintenance window (DMW) scheme for reconfigurable manufacturing systems to fill these gaps. We propose a real-time Bayesian updating prognostic model using sensor-based condition information for computing each individual machine’s TTFs, and a dynamic maintenance window scheme for the maintenance work scheduling of a reconfigurable manufacturing system. This enables the real-time prognosis updating, the rapid decision making for reconfigurable manufacturing systems, and the notable maintenance cost reduction.


2014 ◽  
Vol 25 (7) ◽  
pp. 934-957 ◽  
Author(s):  
Ibrahim H. Garbie

Purpose – The purpose of this paper is to propose a new performance analysis and measurement regarding reconfigurable manufacturing systems (RMS) taken into consideration new circumstances which include changes in the market demand, changes in a product design, and/or introduction of a new product. As the reconfiguration process is applied to a manufacturing system to improve the system's performance due to new circumstances, the RMS process has potential quantitative and qualitative measures. Design/methodology/approach – The manufacturing system has a great impact on the performance measurement and the selection of the objectives to measure the performance is very important. These objectives include the critical requirements for a RMS and they are as follows: product cost, manufacturing response, system productivity, people behavior, inventory, and quality of the finished products. Because each criterion measure in a RMS is a potential source of evaluation, it should have a relative weight with respect to the other measures. First, each criterion will be measured individually. Second, these measures need to be evaluated through an aggregate quantitative metric because there is a lack of analytical techniques to analyze and evaluate both qualitative and quantitative measures. Findings – Performance evaluation of a RMS from one circumstance to another is highly desired by using the new quantitative metric regarding updating (upgrading) the system for the next period based on the previous one. The results show that the applicable of using this new technique in evaluating the RMS. The results also support the new quantitative metric. Originality/value – The suggestion of a new aggregate performance measurement metric including the all potential objectives is highly considered. This paper provides an insight into each objective individually to measure it. It is also used from 0 to 1 as range of measure to evaluate the potential and aggregate metrics toward next reconfiguration with respect to the existing one.


2021 ◽  
pp. 11-19
Author(s):  
Francisco Pedro

Manufacturing Systems (MS) are a fundamental means of establishing profitable engineering operations in mechanical firms. The technical and physical structures of MS determine the dimension of adaption and signify the measure of freedom of engineers of MS. This contribution discusses the Reconfiguring Cellular Manufacturing System (RCMS) concept, which considers the design of systems as cyclical activities whereby the makers of decisions can determine the MS’s system capacities and capabilities. The standard methodologies to support the design of MS are optimization and analysis of MS. The timeframe essential for evaluating numerous designs is a fundamental factor, which can also discourage the application of these systems. Resultantly, there is a threat of missed assessment of suitable designs when the number and quality of the solution users being assessed is based on the users’ intuition with respect to the potential design result.


Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1227
Author(s):  
Vladimír Vavrík ◽  
Milan Gregor ◽  
Patrik Grznár ◽  
Štefan Mozol ◽  
Marek Schickerle ◽  
...  

Nowadays, many factories face changes on the global market and manufacturing is unpredictable. This fact creates a demand for developing new concepts of the factory which can represent a solution to these changes. This study presents a way for designing these new factory concepts, particularly a concept of the reconfigurable manufacturing lines. The methodology in this study uses characteristics of reconfigurable manufacturing systems for developing an algorithm for designing the basic factory layout. The methodology also combines classical math operations for designing the production layout with such approaches as simulation, cluster analysis, and LCS algorithm. This combination method with LCS algorithm and an entirely different approach to the design of the manufacturing line, has not yet been used. The accuracy of this methodology is then verified through the results of the complete algorithm containing these features. The main purpose of this study was to find new approaches to designing the reconfigurable factory layout. This article is presenting new ways that differ from the classical design method. The article suggests the new way is possible and the new systems also need new ways for designing and planning.


2013 ◽  
Vol 282 ◽  
pp. 230-234 ◽  
Author(s):  
Lucia Koukolová ◽  
Rudolf Jánoš ◽  
Ľuboslava Šidlovská

The paper clarifies the reasons leading to the creation of a new class of manufacturing system from a global perspective, focusing on the market environment. It describes the needs for reconfigurable manufacturing systems, which allows coping with market requirements and changes quickly and costing effectively. The article provides the approach to the design of the reconfigurable manufacturing systems from system, machine and control level point of view.


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