A Real-Time Analysis of Condition-Based Maintenance in a Multistage Production System

2018 ◽  
Author(s):  
Yang Li ◽  
Deng Jia
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Production System ◽  
Negative Impact ◽  
Condition Based Maintenance ◽  
Multistage Manufacturing ◽  
Real Time Analysis ◽  
Equipment Failures ◽  
Multistage Production ◽  
Event Based

Condition-based maintenance (CBM) is important to improve production system performance because it is capable to effectively prevent costly equipment failures. However, CBM usually has to stop machines for maintenance during operation and this may severely impede the normal production. This paper establishes a real-time CBM decision making method to minimize the negative impact of CBM stoppage events in a multistage manufacturing system. The method utilizes an event-based analysis method to estimate the permanent production loss resulted from a CBM event. An online control algorithm is introduced to effectively explore the optimal CBM control options. Simulation case studies are performed to validate the event-based CBM decision making method.

A proactive decision making framework for condition-based maintenance

2015 ◽  
Vol 115 (7) ◽  
pp. 1225-1250 ◽  
Author(s):  
Alexandros Bousdekis ◽  
Babis Magoutas ◽  
Dimitris Apostolou ◽  
Gregoris Mentzas
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Literature Review ◽  
Real Time ◽  
Condition Based Maintenance ◽  
Sensor Data ◽  
Extensive Literature ◽  
Decision Space ◽  
Content Type ◽  
Extensive Literature Review

Purpose – The purpose of this paper is to perform an extensive literature review in the area of decision making for condition-based maintenance (CBM) and identify possibilities for proactive online recommendations by considering real-time sensor data. Based on these, the paper aims at proposing a framework for proactive decision making in the context of CBM. Design/methodology/approach – Starting with the manufacturing challenges and the main principles of maintenance, the paper reviews the main frameworks and concepts regarding CBM that have been proposed in the literature. Moreover, the terms of e-maintenance, proactivity and decision making are analysed and their potential relevance to CBM is identified. Then, an extensive literature review of methods and techniques for the various steps of CBM is provided, especially for prognosis and decision support. Based on these, limitations and gaps are identified and a framework for proactive decision making in the context of CBM is proposed. Findings – In the proposed framework for proactive decision making, the CBM concept is enriched in the sense that it is structured into two components: the information space and the decision space. Moreover, it is extended in a way that decision space is further analyzed according to the types of recommendations that can be provided. Moreover, possible inputs and outputs of each step are identified. Practical implications – The paper provides a framework for CBM representing the steps that need to be followed for proactive recommendations as well as the types of recommendations that can be given. The framework can be used by maintenance management of a company in order to conduct CBM by utilizing real-time sensor data depending on the type of decision required. Originality/value – The results of the work presented in this paper form the basis for the development and implementation of proactive Decision Support System (DSS) in the context of maintenance.

Fault Diagnosis for Rack Vibration of Brush Roll in Washing Section of Galvanization Unit in Cold Rolling Plant by Means of HP35670A Dynamic Signal Analyzer

2012 ◽  
Vol 588-589 ◽  
pp. 1014-1018
Author(s):  
Ke Gang Zhu ◽  
Zhao Gang Zhang ◽  
Bao Quan Liu ◽  
Shu Juan Meng ◽  
Ren Sheng Wang
Keyword(s):  
Fault Diagnosis ◽  
Cold Rolling ◽  
Real Time ◽  
Online Detection ◽  
Time Analysis ◽  
The Real ◽  
Real Time Analysis ◽  
Equipment Failures ◽  
Rolling Plant ◽  
Dynamic Signal

The paper determines the real-time location of and the real-time reasons for equipment failures on the premise of the integration of equipment, through the online detection and the real-time analysis of the vibration abnormities and faults in the driving side as well as the service side of rack of brush roll in the washing groove that lies in washing section 2# of the galvanization unit in a plant, by employing the HP35670A dynamic signal analyzer.

Impact of Industry 4.0 Concept on the Levers of Lean Manufacturing Approach in Manufacturing Industries

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
M Ghouat ◽  
A. Haddout ◽  
M. Benhadou
Keyword(s):  
Real Time ◽  
Production System ◽  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Production Costs ◽  
Production Performance ◽  
Time Data ◽  
Industrial Companies ◽  
Real Time Analysis ◽  
Real Time Data

Industrial companies looking for permanent performance are facing challenges of reducing production costs, reducing customer delivery delays and improving their quality products, this lead them to improve their responsiveness and flexibility to meet the varying needs of customers. To cope with these constraints, several industrial companies have adopted the Lean Manufacturing (LM)  concept, based on the Toyota production system, to reduce wastage according to a methodical and structured approach that has given this proof for several years, this approach currently finds its limits, since it is based on static data, while a dynamic approach, with real-time data on customer needs and production performance, will readjust the levers of Lean Manufacturing to improve its efficiency. This paper has been aimed to show that the concept Industry 4.0 incarnates the lean Manufacturing approach by feeding it by real-time data and a real-time analysis of Big Data in a Cyber Physical Production System (CPPS), in order to improve decision-making and readjust in real time the levers of the Lean Manufacturing approach

An Interactive Minicomputer Program for the Indexing and Simulation of Electron Diffraction Patterns

1976 ◽  
Vol 34 ◽  
pp. 542-543
Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao
Keyword(s):  
Electron Diffraction ◽  
Real Time ◽  
Pattern Analysis ◽  
Flow Diagram ◽  
Hard Copy ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Transmission Electron ◽  
One Step ◽  
Diffraction Patterns

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.

A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control

2018 ◽  
Vol 6 (6) ◽  
pp. 98
Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Manufacturing Industry ◽  
Simulation Software ◽  
Shop Floor ◽  
Simulation Tool ◽  
Routing Flexibility ◽  
Decision System ◽  
Multi Objective ◽  
Arena Simulation

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.

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