Effect of Failure Rate on the Availability Analysis of Nestle CERELAC Plant Using Markov Chain Method

2018 ◽  
pp. 121-127
Author(s):  
Gurbinder Singh ◽  
Rakesh Kumar
Keyword(s):  
Markov Chain ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Research Work ◽  
Automated Production ◽  
Availability Analysis ◽  
Long Run ◽  
Machine Reliability ◽  
Markov Chain Method

In the performance analysis of production systems by using the traditional methods of engineering the knowledge of machine reliability factors is assumed to be precisely known. The current study entitled performance evaluation of food industry in India. To analyze and determine the availability of plant a case study has been undertaken from Moga Nestle food private limited industry in India. Various studies evaluating the performance of automated production systems with the help of modeling and simulation and analytical methods have always given priority to steady state performance as compared to transient performance. Production systems in which such kind of situations arises include systems with dysfunctional states and deadlocks, not stable queuing systems. This research work presents an approach for analyzing the performance of unreliable manufacturing systems that take care of uncertain machine factor estimates. The method that is being proposed is on the basis of Markov chain and probability density function discretization techniques for studying manufacture lines consist unreliable machines. To determine the performance of plant, important information has been collected from different systems and subsystems to find out long run availability of whole system.

scholarly journals MODEL-BASED DESIGN OF AM COMPONENTS TO ENABLE DECENTRALIZED DIGITAL MANUFACTURING SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Data Generation ◽  
Production Networks ◽  
Model Based ◽  
Manufacturing Technologies ◽  
Am Processes ◽  
Final Consumer

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

scholarly journals Implementation of Markov Chain in Detecting Opportunities for Natural Disasters in Klaten (Case Study: Number of Floods, Landslides, and Hurricanes 2019-2020)

2021 ◽  
Vol 1 (2) ◽  
pp. 58-67
Author(s):  
Afdelia Novianti ◽  
Dina Tri Utari
Keyword(s):  
Markov Chain ◽  
Natural Disasters ◽  
Human Life ◽  
The Other ◽  
Future Period ◽  
The Past ◽  
Current Period ◽  
Markov Chain Method ◽  
The Government

Java Island is one of the areas that is very fertile and densely populated, but on the other hand, Java Island is also one of the areas that is most frequently hit by natural disasters, one of which is Klaten Regency. Natural disaster itself is an event that threatens and disrupts human life caused by nature. Some of the natural disasters that often occur simultaneously in Klaten Regency are floods, landslides, and hurricanes. These three disasters usually occur during the rainy season. This of course makes the government need to take action by seeing the large chance of a disaster occurring in order to optimize disaster management. Then research will be carried out that aims to determine the chances of natural disasters occurring in the next few years. Forecasting will be carried out using the Markov chain method, with this method the probability value of the future period can be estimated using the current period probability value based on the characteristics of the past period. So that the value of the steady state chance of floods and landslides in period 36 (December 2023) and hurricanes in period 15 (March 2022) with the chances of a disaster are 34.21%, 15.38%, and 73.53%, respectively.Received August 31, 2021Revised October 27, 2021Accepted November 11, 2021

An integrated fuzzy-based multi-criteria decision-making approach for the selection of an effective manufacturing system

2018 ◽  
Vol 25 (1) ◽  
pp. 280-296 ◽  
Author(s):  
Ram Prakash ◽  
Sandeep Singhal ◽  
Ashish Agarwal
Keyword(s):  
Decision Making ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Research Work ◽  
Sustainable Growth ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Manufacturing Company ◽  
Selection Of

Purpose The research paper presents analysis and prioritization of barriers influencing the improvement in the effectiveness of manufacturing system. The purpose of this paper is to develop an integrated fuzzy-based multi-criteria decision-making (F-MCDM) framework to assist management of the case company in the selection of most effective manufacturing system. The framework helps in prioritizing the manufacturing systems on the basis of their effectiveness affected by the barriers. Design/methodology/approach In this paper, on the basis of experts’ opinion, five barriers have been identified in a brain-storming session. The problem of prioritization of manufacturing system is a multi-criteria decision-making (MCDM) problem and hence is solved by using the F-MCDM approach using dominance matrix. Findings Manufacturing systems’ effectiveness for Indian industries is influenced by barriers. The prioritization of manufacturing systems depends on qualitative factor decision-making criteria. Among the manufacturing systems, leagile manufacturing system is given the highest priority followed by lean manufacturing system, agile manufacturing system, flexible manufacturing system and cellular manufacturing system. Research limitations/implications The selection of an appropriate manufacturing system plays a vital role for sustainable growth of the manufacturing company. In the present work, barriers which influence the effectiveness of manufacturing system have been identified. On the basis of degree of influence of barriers on the effectiveness of the manufacturing system, five alternative manufacturing systems are prioritized. The framework will help the management of the case company to take reasonable decision for the adoption of the appropriate manufacturing system. Practical implications The results of the research work are very useful for the manufacturing companies interested in analyzing the alternative manufacturing systems on the basis of their effectiveness and their sensitivity toward various barriers. The management of Indian manufacturing company will take decision to adopt a manufacturing system whose effectiveness is least sensitive toward barriers. Effectiveness of such manufacturing system will improve with time without having retardation due to barriers. With improved effectiveness of the manufacturing system, the manufacturing company would be able to survive with global competition. The result of the present work is based on the inputs from the case company and may vary for the other manufacturing company. In the present work, only five alternative manufacturing systems and five barriers have been considered. To obtain the better result, MCDM approach with more number of alternative manufacturing systems and barriers might be considered. Originality/value The research work is based on the fuzzy analytic hierarchy process framework and on the case study conducted by the authors. The work carried out is original in nature and based on the real-life case study.

Modelling and Design of Closed-Loop Manufacturing Systems

2013 ◽  
Vol 378 ◽  
pp. 367-374 ◽  
Author(s):  
Andrey A. Kutin ◽  
Mikhail Turkin
Keyword(s):  
Analytical Method ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Closed Loop ◽  
Production Systems ◽  
Finite Buffers ◽  
Unreliable Machines

This paper introduces an analytical method for evaluating the performance of closed loop manufacturing systems with unreliable machines and finite buffers. The method involves transforming an arbitrary loop into one without thresholds and then evaluating the transformed loop using a new set of decomposition equations. It is more accurate than existing methods and is effective for a wider range of cases. The convergence reliability, and speed of the method are also discussed. In addition, observations are made on the behavior of closed loop production systems under various conditions. Finally, the method is used in a case study to design a flexible manufacturing system for production of aerospace parts.

scholarly journals How environment dynamics affects production scheduling: Requirements for development of CPPS models

2021 ◽  
Vol 49 (4) ◽  
pp. 827-834
Author(s):  
Cátia Alves ◽  
Goran Putnik ◽  
Leonilde Varela
Keyword(s):  
Production Scheduling ◽  
Manufacturing Systems ◽  
New Technologies ◽  
Production Systems ◽  
Strong Positive Correlation ◽  
Systems Architecture ◽  
Study Results ◽  
Cyber Physical Production Systems ◽  
Scheduling Models

Production scheduling can be affected by many disturbances in the manufacturing system, and consequently, the feasible schedules previously defined became obsolete. Emerging of new technologies associated with Industry 4.0, such as Cyber-Physical Production Systems, as a paradigm of implementation of control and support in decision making, should embed the capacity to simulate different environment scenarios based on the data collected by the manufacturing systems. This paper presents the evaluation of environment dynamics effect on production scheduling, considering three scheduling models and three environment scenarios, through a case study. Results show that environment dynamics affect production schedules, and a very strong or strong positive correlation between environment dynamics scenarios and total completion time with delay, over three scheduling paradigms. Based on these results, the requirement for mandatory inclusion of a module for different environment dynamics scenarios generation and the corresponded simulations, of a Cyber-Physical Production Systems architecture, is confirmed.

scholarly journals Human and Social Dimensions in CPS & IoT based Automated Production Systems

2021 ◽  
Author(s):  
Hind Bril El-Haouzi ◽  
Etienne Valette ◽  
Bettina-Johanna Krings ◽  
António Brandão Moniz
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Intelligent Manufacturing ◽  
Human Dimensions ◽  
Automated Production ◽  
Human In The Loop ◽  
Research Fields ◽  
Human Operators ◽  
Conceptual Evolution

Since the 1970s, the application of microprocessor in industrial machinery and the development of computer systems have transformed the manufacturing landscape. The rapid integration and automation of production systems have outpaced the development of suitable human design criteria, creating a deepening gap where human factor was seen as an important source of errors and disruptions. Today the situation seems different: the scientific and public debate about the concept of Industry 4.0 has raised the awareness about the central role humans have to play in manufacturing systems, to the design of which they must be considered from the very beginning. The future of industrial systems, as represented by Industry 4.0, will rely on the convergence of several research fields such as Intelligent Manufacturing Systems (IMS), Cyber-Physical Systems (CPS), Internet of things (IoT), but also socio-technical fields such as social approaches within technical systems. This article deals with different Human dimensions associated with CPS and IoT and focuses on their conceptual evolution of automatization to improve the sociability of such automated production systems and consequently puts again the human in the loop. Hereby, our aim is to take stock of current research trends, and to show the importance of integrating human operators as a part of a socio-technical system based autonomous and intelligent products or resources. As results, different models of sociability as way to integrate human into the broad sense and/or the development of future automated production systems, were identified from the literature and analysed.

scholarly journals Craftsmanship in the machine: sustainability through new roles in building craft at the technologized building site

2017 ◽  
Vol 5 (2) ◽  
pp. 71-84 ◽  
Author(s):  
Håkon Fyhn ◽  
Roger Andre Søraa
Keyword(s):  
Production Systems ◽  
Lean Construction ◽  
Multiple Roles ◽  
High Tech ◽  
Planning Problem ◽  
Building Site ◽  
Automated Production ◽  
Parental Roles ◽  
Construction Techniques

The building industry is becoming increasingly characterized by automated production, and in line with this, the nature of craftsmanship is transforming. In this article, we look for a sustainable path for this transformation through a case study that follows a team of carpenters building a set of tower blocks at a high-tech building site using “lean” construction techniques and robotic production technology. The builders are organized according to complex schedules of lean construction, making work at the building site resemble that of a large machine. The builders hold multiple roles within this machine: more than simply “living mechanisms” inside the machine, they also take on more parental roles as “machinists,” employing their crafting skills in planning, problem solving, improvising, coordinating and fettling in order to make the building machine run smoothly and to minimize environmental uncertainty. The craftsmanship in action is characterized by what we call workmanship of uncertainty – the ability to produce certain results in uncertain conditions. We identify this as the collective skill of a community of practice. The sustainability of craftsmanship in the machine is analyzed according to three kinds of sustainability: cultural, social and ecological. We suggest that all three forms depend on the building company’s ability to provide working conditions that allow the builders to form stable communities of practice in order to perform, share and develop craftmanship. Finally, we show that working in and with technological production systems does not require fewer skills (of craftsmanship) than traditional building, but a nuanced application of these skills.

Applicability of generalized test tables: a case study using the manufacturing system demonstrator xPPU

2018 ◽  
Vol 66 (10) ◽  
pp. 834-848 ◽  
Author(s):  
Suhyun Cha ◽  
Alexander Weigl ◽  
Mattias Ulbrich ◽  
Bernhard Beckert ◽  
Birgit Vogel-Heuser
Keyword(s):  
Production Systems ◽  
Reactive Systems ◽  
Internal Variables ◽  
High Coverage ◽  
Manufacturing Automation ◽  
Automated Production ◽  
Recent Trends ◽  
Requirements Quality ◽  
Automation Control

Abstract With recent trends in manufacturing automation, control software in automated production systems becomes more complex and has more variability to keep pace with customer and market requirements. Quality assurance also becomes more and more important to ensure that the systems live up to expectations. However, correctness of automation software is rarely verified using formal techniques in spite of their high coverage. One of the main reasons is the lack of specification languages suitable for this application area that are both comprehensible and sufficiently expressive. Generalized test tables (GTTs), which are a specification language for reactive systems, were presented recently as an accessible representation for application engineers. This formalism achieves both the comprehensibility of concrete test tables and the coverage of formal methods. In our approach, the specification provided by GTTs is used for formal verification, especially model checking. In this paper, we present four new features for GTTs: the progression flag, strong repetition, row grouping, and specification on internal variables. We demonstrate the applicability and evaluate the comprehensibility of GTT-based specification and verification using a range of diverse scenarios from the community demonstrator, the extended Pick & Place Unit.

Change analysis on evolving PLC software in automated production systems

2018 ◽  
Vol 66 (10) ◽  
pp. 806-818 ◽  
Author(s):  
Alexander Schlie ◽  
Safa Bougouffa ◽  
Juliane Fischer ◽  
Ina Schaefer ◽  
Birgit Vogel-Heuser
Keyword(s):  
Static Analysis ◽  
Software Evolution ◽  
Production Systems ◽  
Feasibility Studies ◽  
System Quality ◽  
Control Software ◽  
Change Analysis ◽  
Automated Production ◽  
Long Run ◽  
Manual Examination

Abstract Control software for automated Production Systems (aPSs) becomes increasingly complex. Respective systems undergo constant evolution. Yet, proper documentation may not always be present, entailing maintenance issues in the long run. While manual examination of software for aPSs is an error-prone task, static analysis can improve system quality. However, it has not been applied to describe software evolution by means of changed systems artifacts. The authors address this issue and perform change analyses on IEC61131-3 projects, identifying introduced and removed systems artifacts as well as existing ones affected. By that, the authors aim to support sustainable evolution. Two feasibility studies, implemented independently, but for the same evolution scenarios for an automation plant, are used for evaluation. The technique is shown to be efficient and highly precise.

Manufacturing Systems Building and Developing

2015 ◽  
Vol 669 ◽  
pp. 514-522
Author(s):  
Stefan Valencik ◽  
Tomas Stejskal ◽  
Ján Kmec ◽  
Luba Bicejova ◽  
Miroslav Gombar
Keyword(s):  
Information Flow ◽  
Material Flow ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Technological Systems ◽  
Automated Production

The paper presents a complex of information aimed at automated production systems structures and simulation. For production systems intergrated structures formation it uses logistic principles for making the internal material flow among various logistic nodes more precise and effective, including respective information flow, here e. g. with use of integrable and compatibile handling and technological systems, as well.

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