Smart Production System Modeling: Bernoulli Serial Line Case

2020 ◽  
Author(s):  
Yuting Sun ◽  
Tianyu Zhu ◽  
Liang Zhang
Keyword(s):  
Manufacturing Industry ◽  
Ad Hoc ◽  
New Technologies ◽  
System Modeling ◽  
Critical Issue ◽  
Smart Manufacturing ◽  
Serial Production ◽  
Modeling Process ◽  
Serial Line

Abstract The manufacturing industry has entered the era of Industry 4.0/Smart Manufacturing. New technologies have dramatically changed the way manufacturing activities are carried out on the factory floor. In addition to an enhanced level of equipment automation, automation of decision-making has been one of the key objectives of these new initiatives. On the other hand, a critical issue that has been overlooked is the construction of mathematical models in manufacturing research and studies, which are typically done manually. This manual, ad-hoc nature of mathematical modeling is quite problematic when modeling the job flow in a manufacturing process. As a result, the quality of the models obtained may heavily depend on the experience and personal preference of the modeler. The goal of this paper is to develop a method to standardize and automate the modeling process using standard manufacturing key performance indices in the framework of Bernoulli serial production line model.

Smart Manufacturing Through a Framework for a Knowledge-Based Diagnosis System

2017 ◽  
Author(s):  
Michael P. Brundage ◽  
Boonserm Kulvatunyou ◽  
Toyosi Ademujimi ◽  
Badarinath Rakshith
Keyword(s):  
Manufacturing Industry ◽  
Ad Hoc ◽  
Root Cause Analysis ◽  
Medical Community ◽  
Smart Manufacturing ◽  
Cause Analysis ◽  
Diagnosis System ◽  
Standard Representation ◽  
Root Cause ◽  
Knowledge Based

Various techniques are used to diagnose problems throughout all levels of the organization within the manufacturing industry. Often times, this root cause analysis is ad-hoc with no standard representation for artifacts or terminology (i.e., no standard representation for terms used in techniques such as fishbone diagrams, 5 why’s, etc.). Once a problem is diagnosed and alleviated, the results are discarded or stored locally as paper/digital text documents. When the same or similar problem reoccurs with different employees or in a different factory, the whole process has to be repeated without taking advantage of knowledge gained from previous problem(s) and corresponding solution(s). When discussing the diagnosis, personnel may miscommunicate over terms used in the root cause analysis leading to wasted time and errors. This paper presents a framework for a knowledge-based manufacturing diagnosis system that aims to alleviate these miscommunications. By learning from diagnosis methods used in manufacturing and in the medical community, this paper proposes a framework which integrates and formalizes root cause analysis by categorizing faults and failures that span multiple organizational levels. The proposed framework aims to enable manufacturing operations by leveraging machine learning and semantic technologies for the manufacturing system diagnosis. A use case for the manufacture of a bottle opener demonstrates the framework.

Enhanced QoS through Cooperating Schemes in Next Generation Wireless Networks

2012 ◽  
pp. 311-337
Author(s):  
Dimitris E. Charilas ◽  
Athanasios D. Panagopoulos ◽  
Philip Constantinou
Keyword(s):  
Game Theory ◽  
Wireless Networks ◽  
New Technologies ◽  
Critical Issue ◽  
Next Generation ◽  
Next Generation Wireless Networks ◽  
Distribution Of Resources ◽  
Decision Making Processes ◽  
Selection Mechanisms

This chapter addresses the critical issue of Quality of Service (QoS) provisioning in next generation wireless networks. While the QoS offered to users may be enhanced through innovative protocols and new technologies, future trends should take into account the efficiency of the resource allocation strategies and the network/terminal cooperation as well. 4G networks will be characterized by an heterogeneous environment where several access networks will be available. The purpose of this chapter is to summarize techniques that enable efficient distribution of resources exploiting the existing infrastructure. Such techniques may involve either smart selection mechanisms or cooperating schemes among network entities. Since decision-making processes are examined, the use of game theory is considered as a valuable asset in the authors’ work. To this end, the chapter also collects applications of both non-cooperative and cooperative game theory applications in wireless networks. The main aspects of both game types are presented and several games are modeled.

scholarly journals How Technological Innovation Affect China’s Pharmaceutical Smart Manufacturing Industrial Upgrading

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Su Wang ◽  
Yuwen Chen
Keyword(s):  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Digital Transformation ◽  
Pharmaceutical Manufacturing ◽  
Smart Manufacturing ◽  
Manufacturing Companies ◽  
Industrial Upgrading ◽  
Depth Analysis ◽  
Innovative Resources

In recent years, a new generation of information technology has provided sufficient technical support for the smart manufacturing industry. In order to promote the upgrading of China’s pharmaceutical smart manufacturing industry, the direction of industrial upgrading and transformation will be discussed from the perspective of technological innovation. According to the input and output data of technological innovation in China’s pharmaceutical manufacturing industry from 2007 to 2019, the DEA method is used to analyze the allocation of innovative resources in China’s pharmaceutical manufacturing industry in recent years. The study found that the efficiency of technological innovation in China’s pharmaceutical manufacturing industry fluctuated greatly from 2007 to 2019, with a low overall level and varying degrees of wasted resources. On this basis, an in-depth analysis of the system architecture of the pharmaceutical smart manufacturing industry under the Industry 4.0 environment was performed. Finally, four paths for the digital transformation of China’s pharmaceutical manufacturing industry are proposed. Chinese pharmaceutical manufacturing companies need to use new technologies to carry out comprehensive intelligent upgrading and digital transformation to improve innovation efficiency.

QoS Signaling Security in Mobile Ad Hoc Networks

2010 ◽  
pp. 322-332 ◽  
Author(s):  
Ohm Sornil
Keyword(s):  
Quality Of Service ◽  
Mobile Ad Hoc Networks ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Critical Issue ◽  
Signaling System ◽  
Signaling Systems ◽  
Mobile Ad Hoc ◽  
Hoc Networks

A quality of service (QoS) signaling system is necessary for QoS provision in a mobile ad hoc network (MANET). A QoS signaling system in MANETs is vulnerable to various types of attacks, ranging from fabrication and modification of messages to denial of services, which can cause failures of QoS provisions. Security is thus a critical issue for a signaling system. However, distinctive characteristics of MANETs make security mechanisms effective in conventional networks inapplicable in this environment. This chapter describes issues and challenges, and examines mechanisms specifically designed to provide security for QoS signaling systems in MANETs.

Enhanced QoS through Cooperating Schemes in Next Generation Wireless Networks

2010 ◽  
pp. 400-426
Author(s):  
Dimitris E. Charilas ◽  
Athanasios D. Panagopoulos ◽  
Philip Constantinou
Keyword(s):  
Game Theory ◽  
Wireless Networks ◽  
New Technologies ◽  
Critical Issue ◽  
Next Generation ◽  
Next Generation Wireless Networks ◽  
Distribution Of Resources ◽  
Decision Making Processes ◽  
Selection Mechanisms

This chapter addresses the critical issue of Quality of Service (QoS) provisioning in next generation wireless networks. While the QoS offered to users may be enhanced through innovative protocols and new technologies, future trends should take into account the efficiency of the resource allocation strategies and the network/terminal cooperation as well. 4G networks will be characterized by an heterogeneous environment where several access networks will be available. The purpose of this chapter is to summarize techniques that enable efficient distribution of resources exploiting the existing infrastructure. Such techniques may involve either smart selection mechanisms or cooperating schemes among network entities. Since decision-making processes are examined, the use of game theory is considered as a valuable asset in the authors’ work. To this end, the chapter also collects applications of both non-cooperative and cooperative game theory applications in wireless networks. The main aspects of both game types are presented and several games are modeled.

scholarly journals A Simulation of AODV and GPSR Routing Protocols in VANET Based on Multimetrices

2021 ◽  
Vol 17 (2) ◽  
pp. 66-72
Author(s):  
Israa Aljabry ◽  
Ghaida Al-Suhail
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Critical Issue ◽  
Constant Speed ◽  
Future Application ◽  
Delivery Ratio ◽  
Hoc Networks ◽  
Packet Drop

Vehicular Ad hoc Networks (VANETs), a subsection of Mobile Ad hoc Networks (MANETs), have strong future application prospects. Because topology structures are rapidly changing, determining a route that can guarantee a good Quality of Service (QoS) is a critical issue in VANETs. Routing is a critical component that must be addressed in order to utilize effective communication among vehicles. The purpose obtained from this study is to compare the AODV and GPSR performance in terms of Packet Delivery Ratio, Packet Drop Ratio, Throughput, and End-to-End Delay by applying three scenarios, the first scenario focuses on studying these protocols in terms of QoS while changing the number of vehicles at a constant speed of 40Km/h, and for the second scenario changing the speed value while keeping a constant number of vehicles which is 100, the third involves changing the communication range at a constant speed and vehicle number. This study represents a foundation for researchers to help elaborate on the strength and weaknesses of these two protocols. OMNeT++ in conjunction with SUMO is used for simulation.

Quality of Service in Wireless Ad-Hoc Networks and New Trends

2011 ◽  
pp. 254-280
Author(s):  
Sudhir K. Routray
Keyword(s):  
Quality Of Service ◽  
Ad Hoc Networks ◽  
Wireless Ad Hoc Networks ◽  
Ad Hoc ◽  
New Technologies ◽  
Ieee 802.11E ◽  
Overall Performance ◽  
Hoc Networks

This chapter introduces basic needs of quality of Service (QoS) of RF ad hoc networks (mainly wireless), presents the main metrics of quality of service and the QoS effects on overall performance, and briefly discusses quality of service of wireless systems with respect to the upcoming new technologies like 3GPP LTE and the role of WLAN, while representing network QoS improvement and optimization tools and their successful applications in performance analysis. The chapter focuses on IEEE 802.11e, the main revision of the 802.11 for better QoS provisioning, as well as the coordination between planning and the performance of systems for better QoS. Additionally, it addresses the current and new trends of QoS stuff for different cellular networks and their impact on the QoS of ad-hoc networks. The chapter also explores new trends of QoS of emerging networks like the WiMAX and 4G and looks to the probable hybrid networks of the future and their QoS aspects.

Patient satisfaction and comfort after a full-arch immediate loaded prosthesis

2020 ◽  
Author(s):  
Elena Dellepiane ◽  
Francesco Pera ◽  
Paola Zunino ◽  
Maria Grazia Mugno ◽  
Paolo Pesce ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Oral Health ◽  
Intermediate Phase ◽  
Critical Issue ◽  
Health Impact ◽  
Immediate Loading ◽  
Oral Rehabilitation ◽  
Masticatory Ability ◽  
Chewing Ability

The aim of this study was to assess oral health related quality of life (OHRQoL) of patients before, during and after completion of implant-supported full-arch immediate loading rehabilitation according to the Columbus Bridge Protocol (CBP). 25 patients with compromised dentition were rehabilitated according to the CBP and were assessed for OHRQoL using 4 questionnaires specifically realized for this study and inspired to the OHIP (Oral Health Impact Profile) questionnaire. Patients assessed themselves before surgery, during the healing period (1 week and 2 months after surgery) and after definitive prosthodontic treatment (4 months after surgery). The questionnaires specifically investigated patients’ pain, confort, home oral hygiene habits, satisfaction related to esthetics, masticatory ability, phonetics and general satisfaction toward the treatment.Patients reported an improvement of OHRQoL after full-arch immediate loading rehabilitation. A statistically significant improvement in aesthetic and chewing ability was found. After 4 months 92% of the patients did not feel tense with their smile, 96% did not show problems to relate with other people or smiling, 92% did not show difficulty to eat some foods. Phonetics was found to be a critical issue, especially in the intermediate phase of healing. One week after surgery the percentage of patients who was very satisfied with phonetics slightly decreased from 48% to 36%. The assessment of patients' OHRQoL related to full-arch immediate loading implant therapy exhibited a significant improvement of their quality of life. The questionnaires herein presented could be an effective tool to evaluate patients' reaction to oral rehabilitation.

Technological Change in Turkish Manufacturing Industry: The Case of Gaziantep City

2017 ◽  
Vol 6 (1) ◽  
pp. 77
Author(s):  
Mehmet Ragıp KALELİOGLU
Keyword(s):  
Technological Change ◽  
Global Economy ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Work Force ◽  
Technological Transformation ◽  
Technological Infrastructure ◽  
Technological Level ◽  
Considerable Work ◽  
Key Indicators

:Ensuring competition in global economy, the production of high value products within the country and the reduction of current budget deficit; in other words, increasing the output of industries manufacturing intermediate goods and end products, which have high import dependency, are major targets of Turkey. The state of technological infrastructure of manufacturing industry in the country as well as the process of change that the industry undergoes are essential for the realization of these targets. New technologies play an important role in the competitiveness and economic development of cities, region and the country in the international market. In particular, the use of new technologies in manufacturing industry and companies’ capacity for innovation are prerequisites for businesses to enter a tougher competition in the global economy as well as for cities and countries to persevere on the larger scale. In this respect, the main purpose of this study is to examine the technological transformation of the manufacturing industry in Gaziantep, which is positioned in the top five among Turkey's exports and employs a considerable work force, in comparison to the technological change experienced by the manufacturing industry in Turkey. In the study, the technological level of manufacturing industry in Turkey and the technological change process of manufacturing industry in Gaziantep are presented between 2009-2016 with key indicators. The findings of this study reveal that the current level of technology the city of Gaziantep manufacturing industry has had is far behind the level Turkish manufacturing industry has reached.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

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