Real-Time Prognostic and Dynamic Maintenance Window Scheme for Reconfigurable Manufacturing Systems

2019 ◽  
Author(s):  
Yifan Dong ◽  
Tangbin Xia ◽  
Lei Xiao ◽  
Ershun Pan ◽  
Lifeng Xi
Keyword(s):  
Real Time ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Degradation Process ◽  
Maintenance Cost ◽  
Time To Failure ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Reconfigurable Manufacturing System ◽  
Dynamic Maintenance

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.

Key Technology and Architecture of Reconfigurable Manufacturing System

2014 ◽  
Vol 556-562 ◽  
pp. 6034-6037
Author(s):  
Dong Man Yu ◽  
Zhi Hua Gao ◽  
Xiao Jing Li ◽  
Di Wang
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Sustainable Change ◽  
Reconfigurable Manufacturing System ◽  
Key Technology ◽  
Common Space ◽  
Design And Manufacture

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.

Facilitating ease of system reconfiguration through measures of manufacturing modularity

2008 ◽  
Vol 222 (10) ◽  
pp. 1275-1288 ◽  
Author(s):  
A M Farid
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Automated Manufacturing ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Automated Manufacturing Systems ◽  
System Reconfiguration ◽  
Qualitative Understanding ◽  
System Interfaces ◽  
Changes Over Time

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.

Research on Decision-Making in Reconfigurable Manufacturing System

2011 ◽  
Vol 101-102 ◽  
pp. 775-778
Author(s):  
Jian Liu ◽  
Shi Gang Song ◽  
Biao Hua Cai
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Manufacturing System ◽  
Target System ◽  
Reconfigurable Manufacturing ◽  
Reconfigurable Manufacturing System ◽  
Resource Allocation Algorithm ◽  
Matching Process ◽  
Decision Making Problem ◽  
Manufacturing Resource

To meet the optimal selection of equipment resources in reconfigurable manufacturing environment, a target system was established to select equipment by considering equipment real time state in equipment selection. To use the existing equipment resources effectively, a resource allocation algorithm was presented to allocate resource by matching process requirements capacity and resources processing capability and taking the real-time state of manufacturing resource into consideration. This method facilitates the equipment decision-making problem, provides an effective way of selecting equipment in the reconfigurable manufacturing system.

Simulation Based Analysis of Reconfigurable Manufacturing System Configurations

2016 ◽  
Vol 844 ◽  
pp. 50-59 ◽  
Author(s):  
Arkadiusz Gola ◽  
Antoni Świć
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Low Cost ◽  
Systems Design ◽  
Reconfigurable Manufacturing ◽  
Reconfigurable Manufacturing System ◽  
Simulation Based ◽  
Critical Problems ◽  
System Configurations ◽  
A Company

Nowadays, manufacturers seek customers’ satisfaction by increasing products variety and customization while striving for agility and productivity. To remain competitive, companies must design manufacturing systems that not only produce high-quality products at low cost, but also respond to market changes in an economical way. One of the critical problems of manufacturing systems design is to decide which of possible configurations is the most advantageous for a company. This article presents the possibility of using simulation methods in the process of analysis of possible configurations of Reconfigurable Manufacturing System according to maximization the productivity of the system.

Performance analysis and measurement of reconfigurable manufacturing systems

2014 ◽  
Vol 25 (7) ◽  
pp. 934-957 ◽  
Author(s):  
Ibrahim H. Garbie
Keyword(s):  
Performance Analysis ◽  
Performance Measurement ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Relative Weight ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Market Demand ◽  
System Productivity ◽  
Content Type

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.

scholarly journals Design for Sustainability and Reconfigurable Manufacturing Systems - An Critical Analysis

2021 ◽  
pp. 11-19
Author(s):  
Francisco Pedro
Keyword(s):  
Critical Analysis ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Cellular Manufacturing ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Fundamental Factor ◽  
Design For Sustainability ◽  
Design Result

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.

Real-time teaming of multiple reconfigurable manufacturing systems

CIRP Annals ◽  
2018 ◽  
Vol 67 (1) ◽  
pp. 437-440 ◽  
Author(s):  
Xingyu Li ◽  
Alparslan Emrah Bayrak ◽  
Bogdan I. Epureanu ◽  
Yoram Koren
Keyword(s):  
Real Time ◽  
Manufacturing Systems ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing

Axiomatic Design of Decomposition Coupling Facing the Reconfigurable Manufacturing System

2014 ◽  
Vol 703 ◽  
pp. 269-272
Author(s):  
Shu Hai Fan ◽  
Jin Hong Li ◽  
Zhi Bing Jiang ◽  
Tian Xu
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Axiomatic Design ◽  
Reconfigurable Manufacturing ◽  
Reconfigurable Manufacturing System

Reconfigurable manufacturing system is be decomposed in this paper, and the case of non-coupling and the case of quasi-coupled are be selected, the axiomatic design is be used in reconfigurable manufacturing system. Put forward the concept that X is the operator, and give a new concept of and.Reconfigurable manufacturing systems are be split and be reorganized accordingly by using axiomatic design innovatively: According to the demand of market, the whole manufacturing system is be split into a combination of some of the features of manufacturing systems; combine some of the features to form the entire manufacturing system.

Manufacturing Systems Suitable for Globalized Market

2013 ◽  
Vol 282 ◽  
pp. 230-234 ◽  
Author(s):  
Lucia Koukolová ◽  
Rudolf Jánoš ◽  
Ľuboslava Šidlovská
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Control Level ◽  
Point Of View ◽  
Global Perspective ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
New Class ◽  
Market Requirements ◽  
And Control

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.

scholarly journals Sustainable Reconfigurable Manufacturing System Design Using Adapted Multi-Objective Evolutionary Based Approaches

2021 ◽  
Author(s):  
Imen Khettabi ◽  
Lyes Benyoucef ◽  
Mohamed Amine Boutiche
Keyword(s):  
Genetic Algorithms ◽  
System Design ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Total Production ◽  
Reconfigurable Manufacturing ◽  
Reconfigurable Manufacturing System ◽  
Nsga Ii ◽  
Multi Objective ◽  
Manufacturing System Design

Abstract Nowadays, manufacturing systems should be cost-effective and environmentally harmless to cope with various challenges in today's competitive markets. In this paper, we aim to solve an environmental oriented multi-objective reconfigurable manufacturing system design (ie., sustainable reconfigurable machines and tools selection) in the case of a single unit process plan generation. A non-linear multi-objective integer program (NL-MOIP) is presented first, where four objectives are minimised respectively, the total production cost, the total production time, the amount of the greenhouse gases emitted by machines and the hazardous liquid wastes. Second, to solve the problem, we propose four adapted versions of evolutionary approaches, namely two versions of the well known non-dominated sorting genetic algorithm (NSGA-II and NSGA-III), weighted genetic algorithms (WGA) and random weighted genetic algorithms (RWGA). To illustrate the efficiency of the four approaches, several instances of the problem are experimented and the obtained results are analysed using three metrics respectively hypervolume, spacing metric and cardinality of the mixed Pareto fronts. Moreover, the influences of the probabilities of genetic operators on the convergence of the adapted NSGA-III are analysed and TOPSIS method is used to help the decision maker ranking and selecting the best process plans.

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