scholarly journals Taxonomy of an Liot Device Based upon Production Functions

2019 ◽  
Vol 5 (2) ◽  
pp. 6
Author(s):  
Lennart Hammerström ◽  
Giebe Carsten
Keyword(s):  
Decision Model ◽  
Manufacturing Systems ◽  
Business Processes ◽  
Production Systems ◽  
Economic Feasibility ◽  
Production Functions ◽  
New Methods ◽  
Long Run ◽  
Production Variability ◽  
Self Adaptive

In this essay, we develop a decision model for the economic impact of Industry 4.0 technologies/IIoT devices on established business processes by testing two hypotheses concerning a decision model based on production functions. New methods to aid in the design and modelling of production systems that are able to rapidly reconfigure and that are self-adaptive in response to disruption (both by humans and for automated systems) are required (Sanderson, Chaplin, - Ratchev, 2019).Mass customization, shorter product lifecycles, smaller production batches and higher production variability lead to the requirement for manufacturing systems to be rapidly reconfigurable and self-adaptive in response to disruption, We propose to recover and apply available and established techniques to evaluate and assess the rationale of technologies before they are implemented to improve the decision process. We consider the investment into IIoT devices from a microeconomic perspective as a long-run problem for companies and therefore consider those problems to be reviewed with adequate methodologies to build a consistent decision model. Investing into a factor (such as an IIoT device) is only economically reasonable as long as this factor produces a benefit, otherwise the investment infringes upon economic feasibility (Fandel 2005).

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.

THE CONCEPT OF COMPETITIVE VALUE CHAINS IN PRODUCTION SYSTEMS AS AN INSTITUTIONAL STRUCTURE OPERATING ON NETWORK PRINCIPLES

2019 ◽  
Vol 6 (3) ◽  
pp. 61-67
Author(s):  
Niyaz Mustjakimovich Abdikeev ◽  
Anton Alekseevich Losev ◽  
Andrey Ivanovich Gaydamaka
Keyword(s):  
Business Processes ◽  
Production Systems ◽  
Institutional Structure ◽  
Cognitive Models ◽  
Value Chains ◽  
High Tech ◽  
Practical Implementation ◽  
Digital Platform ◽  
Software Product ◽  
The Creation

The Concept of competitive value chains in production systems, as an institutional structure operating on network principles, was the impetus for the development of a system of models of inter-industry digital platform for the management and optimization of cooperation of high-tech network production systems. The article describes the ways of integration into business processes of production systems of simulation and cognitive models. The practical implementation of the system of these models is a separate software product - an interdisciplinary digital platform for participants in the creation of new high-tech products and their components.

Prospects for the development of agrarian production systems in in the Right Bank Polesie of Ukraine

2018 ◽  
Vol 2 (95) ◽  
pp. 69-72
Author(s):  
Yu.A. Tarariko ◽  
L.V. Datsko ◽  
M.O. Datsko
Keyword(s):  
Agricultural Production ◽  
Production Systems ◽  
Economic Feasibility ◽  
Capital Investments ◽  
Resource Potential ◽  
Grain Processing ◽  
Processing And Storage ◽  
The Right ◽  
And Storage ◽  
Agricultural Production Systems

The aim of the work is to assess the existing and prospective models for the development of agricultural production in Central Polesie on the basis of economic feasibility and ecological balance. The evaluation of promising agricultural production systems was carried out with the help of simulation modeling of various infrastructure options at the levels of crop and multisectoral specialization of agroecosystems. The agro-resource potential of Central Polesie is better implemented in the rotation with lupine, corn and flax dolguntsem with well-developed infrastructure, including crop, livestock units, grain processing and storage systems, feed, finished products and waste processing in the bioenergetic station. The expected income for the formation of such an infrastructure is almost 8 thousand dollars. / with a payback period of capital investments of 2-3 years.

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 Robust scheduling and dispatching rules for high-mix collaborative manufacturing systems

2021 ◽  
Author(s):  
Andrea Maria Zanchettin
Keyword(s):  
Manufacturing Systems ◽  
Production Systems ◽  
Adaptive Scheduling ◽  
Dispatching Rules ◽  
Numerical Verification ◽  
Robust Scheduling ◽  
Collaborative Manufacturing ◽  
Processing Times ◽  
Increasing Demand ◽  
Variable Production

AbstractMotivated by the increasing demand of mass customisation in production systems, this paper proposes a robust and adaptive scheduling and dispatching method for high-mix human-robot collaborative manufacturing facilities. Scheduling and dispatching rules are derived to optimally track the desired production within the mix, while handling uncertainty in job processing times. The sequencing policy is dynamically adjusted by online forecasting the throughput of the facility as a function of the scheduling and dispatching rules. Numerical verification experiments confirm the possibility to accurately track highly variable production requests, despite the uncertainty of the system.

Reale Daten für Simulationen im digitalen Zwilling*/Real data for simulation in the digital twin -Study on how to record Profinet data and reproduce them in complex simulation environments

2019 ◽  
Vol 109 (09) ◽  
pp. 662-666
Author(s):  
M. Chemnitz ◽  
O. Heimann ◽  
A. Vick
Keyword(s):  
Twin Study ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Real Data ◽  
Control Data ◽  
Cause Analysis ◽  
Digital Twin ◽  
Root Cause ◽  
Complex Simulation ◽  
Complex Manufacturing Systems

Die hohen Anforderungen an moderne Fertigungssysteme erfordern leistungsfähige Engineering-Lösungen. Wie man die Identifikation von Fehlerursachen in komplexen Anlagen erleichtert, wurde in einer Machbarkeitsstudie des Fraunhofer IPK im Auftrag von Siemens DI FA untersucht. In der vorgestellten Lösung werden die Daten der Anlage auf Feldbusebene erfasst und in den digitalen Zwilling eingespeist. So kann das Verhalten der Komponenten taktgenau nachvollzogen werden. Dies elaubt einen tiefen Einblick in das System und unterstützt so bei der Fehlerbehebung.   Powerful engineering tools are required to keep modern production systems manageable. Siemens DI FA and the Fraunhofer IPK present a novel tool for root cause analysis within complex manufacturing systems. The solution combines a CAx plant model with control data recorded from the field bus. This creates a comprehensive digital twin, allowing to analyse past machine behavior with bus clock resolution.

Concept to Support the Flexibility of Manufacturing System through Reconfigurable Structure Based on Modular Design

2015 ◽  
Vol 816 ◽  
pp. 536-546
Author(s):  
Vladimír Rudy ◽  
Andrea Lešková
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Structural Changes ◽  
Modular Design ◽  
Production Systems ◽  
Low Cost ◽  
Modular Construction ◽  
Production Platform ◽  
Flexible Adaptation ◽  
Reconfigurable Structure

This article deals about the challenges of structural changes in manufacturing conditions. The objective of this paper is to present the modular workstations concept based on miniaturization and re-configurability trends. The article is aimed at problems of designing of production systems with a modular construction structure. The modular structure allows an individual and flexible adaptation to varying requirements but also the realization of low-cost solutions for creation of new or modernized production base. The goal is to present the example of modular workstations solutions that correspond with new designing approach. The specification of basics principles, which should help to designing flexible manufacturing systems, discussed in this paper are: modularity; integrability; convertibility; diagnosability; customization. The theoretical part provides an overview of fundamental design principles in manufacturing structures. In the first part of this article are discussed the specification of basic flexibility types in production system and the main impacts influencing design of manufacturing structures. The closing section of the article provides the specification of example solution of adjustable production platform with modular frame (called desktop factory).

Production models of multiple products using a single machine under quality screening and reworking policies

2019 ◽  
Vol 14 (1) ◽  
pp. 232-259 ◽  
Author(s):  
Ata Allah Taleizadeh ◽  
Mahshid Yadegari ◽  
Shib Sankar Sana
Keyword(s):  
Single Machine ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Production Costs ◽  
High Tech ◽  
Screening Process ◽  
Automatic Production ◽  
Content Type ◽  
Economic Production ◽  
Imperfect Items

Purpose The purpose of this study is to formulate two multi-product single-machine economic production quantity (EPQ) models by considering imperfect products. Two policies are assumed to deal with imperfect products: selling them at discount and applying a reworking process. Design/methodology/approach A screening process is used to identify imperfect items during and after production. Selling the imperfect items at a discount is examined in the first model and the reworking policy in the second model. In both models, demand during the production process is satisfied only by perfect items. Data collected from a case company are used to illustrate the performance of the two models. Moreover, a sensitivity analysis is carried out by varying the most important parameters of the models. Findings The case study in this research is used to demonstrate the applicability of the proposed models, i.e. the EPQ model with salvaging and reworking imperfect items. The models are applied to a high-tech un-plasticized polyvinyl chloride (UPVC) doors and windows manufacturer that produces different types of doors and windows. ROGAWIN Co. is a privately owned company that started in 2001 with fully automatic production lines. Finally, the results of applying the different ways of handling the imperfect items are discussed, along with managerial insights. Originality/value In real-world production systems, manufacturing imperfect products is unavoidable. That is why, it is important to make a proper decision about imperfect products to reduce overall production costs. Recently, applying a reworking strategy has gained the most interest when it comes to handling this problem. The principal idea of this research is to maximize the total profit of manufacturing systems by optimizing the period length under some capacity constraints. The proposed models were applied to a company of manufacturing UPVC doors and windows.

scholarly journals Business Process Improvement of Production Systems Using Coloured Petri Nets

2018 ◽  
Vol 7 (1) ◽  
pp. 102-112 ◽  
Author(s):  
Imam Mukhlash ◽  
Widya Nilam Rumana ◽  
Dieky Adzkiya ◽  
Riyanarto Sarno
Keyword(s):  
Petri Nets ◽  
Business Process ◽  
Business Performance ◽  
Business Processes ◽  
Production Systems ◽  
Coloured Petri Nets ◽  
Manufacturing Companies ◽  
Fundamental Factor ◽  
Bottleneck Analysis

The quality of information systems affects the company's business performance. Therefore, it is necessary to analyze business processes to determine any discrepancies between the planned business processes and the actual ones. Based on the results of this analysis, the business process can be improved. The fundamental factor of manufacturing companies is production process. In reality, there are many discrepancies between the actual business processes with the pre-planned, so that there should be analyzed. The analysis can be performed by modeling the business process using Coloured Petri Nets (CPN). In this study, the objectives are to determine the level of conformance checking of business processes, reachability graph and the bottleneck analysis. The results of the analysis are used to construct a recommended model. Based on the analysis of the case study, e.g. a steel industry in Indonesia, the recommended model has a better value than initial model.

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