scholarly journals Context-aware architecture for Industry 4.0-ready manufacturing facility

2021 ◽  
Vol 8 (8) ◽  
pp. 20-30
Author(s):  
Olayan Alharbi ◽  
◽  
Mafawez Alharbi ◽  
Keyword(s):  
Mathematical Model ◽  
Industry 4.0 ◽  
Historical Data ◽  
Manufacturing Sector ◽  
Context Aware ◽  
Planning Systems ◽  
Manufacturing Facility ◽  
Extensive Data ◽  
Context Aware System

The industry 4.0 revolution is empowering the manufacturing sector with several advantages from the production to consumption stage of products, or beyond that. Recently, operators in factories have been accumulating extensive data from machine sensors and other organizational and operational technologies such as company enterprise and planning systems. Notably, having access to extensive data is a double-edged sword. To the best of our knowledge, there is not any work in the literature that proposed architecture for industry 4.0 based on a context-aware system. The aim of this research is to provide the context-aware architecture to enhance decision-making in factories and reduce the exposure of operators to the necessary and related findings. The proposed system is contextually aware of three aspects, operator feedback for previous similar findings, specifications of products under production, and historical data of manufacturing machines. The proposed system is proactive which attracted operator attention only when the findings were contextually related, based on the aforementioned aspects. The contributions of this research an intelligent architecture, a case study, and a mathematical model.

A Case Study on the Un-Used Capacity Assessment Using Time Driven Activity Based Costing for Magnetic Components

2020 ◽  
Vol 6 (1) ◽  
pp. 18-39
Author(s):  
Areena Zaini ◽  
Haryantie Kamil ◽  
Mohd Yazid Abu
Keyword(s):  
Historical Data ◽  
Manufacturing Sector ◽  
Type I ◽  
Activity Based Costing ◽  
Cost Rate ◽  
Continuous Innovation ◽  
Magnetic Components ◽  
Alignment Process ◽  
Capacity Cost

The Electrical & Electronic (E&E) company is one of Malaysia’s leading industries that has 24.5% in manufacturing sector production. With a continuous innovation of E&E company, the current costing being used is hardly to access the complete activities with variations required for each workstation to measure the un-used capacity in term of resources and cost. The objective of this work is to develop a new costing structure using time-driven activity-based costing (TDABC) at . This data collection was obtained at E&E company located at Kuantan, Pahang that focusing on magnetic component. The historical data was considered in 2018. TDABC is used to measure the un-used capacity by constructing the time equation and capacity cost rate. This work found three conditions of un-used capacity. Type I is pessimistic situation whereby according to winding toroid core, the un-used capacity of time and cost are -14820 hours and -MYR2.60 respectively. It means the system must sacrifice the time and cost more than actual apportionment. Type II is most likely situation whereby according to assembly process, the un-used capacity of time and cost are 7400 hours and MYR201575.45 respectively. It means the system minimize the time and cost which close to fully utilize from the actual apportionment. Type III is optimistic situation whereby according to alignment process, the un-used capacity of time and cost are 4120 hours and MYR289217.15 respectively. It means the system used small amount of cost and time from the actual apportionment.

scholarly journals Context-Aware Adaptation of Component-Based Systems: An Active Repository Approach

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Sindolfo Miranda Filho ◽  
Julio Melo ◽  
Luiz Eduardo Leite ◽  
Guido Lemos
Keyword(s):  
Context Aware ◽  
Current Configuration ◽  
Fuzzy Logic Algorithm ◽  
Running System ◽  
Component Based Software Engineering ◽  
Context Aware System ◽  
The Given ◽  
To Receive ◽  
Component Repository

Context-aware systems are able to monitor and automatically adapt their operation accordingly to the execution context in which they are introduced. Component-based software engineering (CBSE) focuses on the development and reuse of self-contained software assets in order to achieve better productivity and quality. In order to store and retrieve components, CBSE employs component repository systems to provide components to the system developers. This paper presents an active component repository that is able to receive the current configuration from the context-aware system and compute the components and the new architecture that better fit the given context. Since the repository has a wide knowledge of available components, it can better decide which configuration is more suitable to the running system. The repository applies Fuzzy logic algorithm to evaluate the adequacy level of the components and GRASP algorithm to mount the new system architecture. In order to verify the feasibility of our approach, we use a digital TV middleware case study to achieve experimental results.

Study of Industry 4.0 and its Impact on Lean Transformation in Aerospace Manufacturing

2019 ◽  
Author(s):  
Sagil James ◽  
Alejandro Cervantes
Keyword(s):  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Manufacturing Sector ◽  
Discrete Event ◽  
Hybrid Approach ◽  
Manufacturing Industries ◽  
Lean Principles ◽  
Aerospace Manufacturing ◽  
Lean Transformation

Abstract Lean manufacturing practices focus on minimizing all forms of waste from the production system. The applicability of lean manufacturing concepts and principles has often been questioned in sectors including aerospace manufacturing primarily due to their high variety - low volume environments. The key challenges include the difficulty in changing the factory layout, lack of plant-specific manufacturing strategies, lack of benchmarking between manufacturing plants and non-existence of learning through experimentation culture. Consequently, the aerospace manufacturing industries have struggled to implement lean principles over the years successfully. Industry 4.0 is a new paradigm that is significantly influencing several manufacturing industries across the globe. Applying the concepts of Industry 4.0 along with the conventional lean transformation technology could potentially address these challenges. The focus of this research is to study the possibilities of integrating Industry 4.0 tools with existing lean manufacturing philosophies within the aerospace manufacturing sector in order to improve various aspects of manufacturing processes in a cyber-physical environment. A case study is performed considering a quality inspection department in a typical aerospace industry. The case study is simulated using discrete event simulation tool — Arena. The study found that a hybrid approach involving the holistic merger of the lean principles along with the Industry 4.0 tools known as Lean Industry 4.0 is the best way forward for the aerospace manufacturing sector. The outcomes of this research provide an understanding of the role of industry 4.0 paradigm and their implementation in several other high-technology and high-risk manufacturing sectors including life sciences, space, and defense industries.

scholarly journals Implementation of industry 4.0 to achieve sustainable manufacturing in steel industry: a case study

2021 ◽  
Vol 2 (1) ◽  
pp. 1-9
Author(s):  
Pradeep Kumar
Keyword(s):  
Steel Industry ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Manufacturing Sector ◽  
Sustainable Manufacturing ◽  
Agile Manufacturing ◽  
The One ◽  
The Internet Of Things

Sustainable manufacturing has been a popular topic of research for quite some time now. There are various concepts and ideas which have claimed to have a significant impact on sustainability of the manufacturing industry like lean, green and agile manufacturing. Industry 4.0 is the latest and by far the one with the maximum potential of changing the manufacturing sector forever. It is rightly called as “the fourth industrial revolution”. It is a wide concept which covers many state of the art technologies like the Internet of Things (IoT), Artificial Intelligence, Big Data, Augmented reality etc. But like every big revolution, it is to face many challenges also. In this review, we are looking at this ‘yet in infancy’ concept and its role in achieving a sustainable manufacturing sector as discussed by researchers. Different scholars have come up with different challenges to implementation of I4.0 which they thought to be of some significance. There is going to  review such challenges making a list of 13 such challenges. Then, it also throw some light on the new challenge faced by all of humanity in the form of SARS-CoV-2 pandemic and how it is affecting the manufacturing sector.

scholarly journals An Agile System to Enhance Productivity through a Modified Value Stream Mapping Approach in Industry 4.0: A Novel Approach

2021 ◽  
Vol 13 (21) ◽  
pp. 11997
Author(s):  
Varun Tripathi ◽  
Somnath Chattopadhyaya ◽  
Alok Bhadauria ◽  
Shubham Sharma ◽  
Changhe Li ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Sector ◽  
Value Added ◽  
Value Stream Mapping ◽  
Just In Time ◽  
Value Stream ◽  
Novel Approach ◽  
Decision Making Processes ◽  
Machinery Manufacturing

Worldwide, industries are emphasizing the development of an agile system to sustain higher productivity, which can be applied to ensure improvements in all production conditions in industry 4.0. In the present scenario, several methods are used for improvements in production, such as value stream mapping, kaizen, just in time, Kanban, and total productive maintenance, etc., The objective of the present research article is to produce an agile system to sustain improvements in productivity through a methodology coupled with value stream mapping in industry 4.0. Value stream mapping is a lean-based method and is used for the maximization of productivity by the elimination of non-value-added activities. The proposed methodology has been validated by productivity enhancements achieved in a case study of the earthmoving machinery manufacturing sector. The study establishes that the proposed methodology would encourage industry personnel during decision-making processes, which would lead to improvements in production in industry 4.0.

scholarly journals A Case Study on the Un-Used Capacity Assessment Using Time Driven Activity Based Costing for Magnetic Components

2021 ◽  
Vol 9 ◽  
pp. 32-53
Author(s):  
N.N.N.M. Kamil ◽  
S.N.A.M. Zaini ◽  
M.Y. Abu
Keyword(s):  
Historical Data ◽  
Manufacturing Sector ◽  
Type I ◽  
Activity Based Costing ◽  
Cost Rate ◽  
Continuous Innovation ◽  
Magnetic Components ◽  
Alignment Process ◽  
Capacity Cost

The Electrical & Electronic (E&E) company is one of Malaysia’s leading industries that has 24.5% in manufacturing sector production. With a continuous innovation of E&E company, the current costing being used is hardly to access the complete activities with variations required for each workstation to measure the un-used capacity in term of resources and cost. The objective of this work is to develop a new costing structure using time-driven activity-based costing (TDABC). This data collection was obtained at E&E company located at Kuantan, Pahang that focusing on magnetic component. The historical data was considered in 2018. TDABC is used to measure the un-used capacity by constructing the time equation and capacity cost rate. This work found three conditions of un-used capacity. Type I is pessimistic situation whereby according to winding toroid core, the un-used capacity of time and cost are -14820 hours and -MYR2.60 respectively. It means the system must sacrifice the time and cost more than actual apportionment. Type II is most likely situation whereby according to assembly process, the un-used capacity of time and cost are 7400 hours and MYR201575.45 respectively. It means the system minimize the time and cost which close to fully utilize from the actual apportionment. Type III is optimistic situation whereby according to alignment process, the un-used capacity of time and cost are 4120 hours and MYR289217.15 respectively. It means the system used small amount of cost and time from the actual apportionment.

Inference of Human Intentions in Smart Home Environments

2013 ◽  
Vol 1 (2) ◽  
pp. 26-42
Author(s):  
Katsunori Oyama ◽  
Carl K. Chang ◽  
Simanta Mitra
Keyword(s):  
Home Environment ◽  
Smart Home ◽  
Context Aware ◽  
Different Types ◽  
Human Intention ◽  
Smart Home Environment ◽  
System Requirements ◽  
Context Aware System ◽  
Context Models

Most of context models have limited capability in involving human intention for system evolvability and self-adaptability. Human intention in context aware systems can evolve at any time; however, context aware systems based on these context models can provide only standard services that are often insufficient for specific user needs. Consequently, evolving human intentions result in changes in system requirements. Moreover, an intention must be analyzed from tangled relations with different types of contexts. In the past, this complexity has prevented researchers from using computational methods for analyzing or specifying human intention in context aware system design. The authors investigated the possibility for inferring human intentions from contexts and situations, and deploying appropriate services that users require during system run-time. This paper presents an inference ontology to represent stepwise inference tasks, and then evaluate contexts surrounding a user who accesses PCs through a case study of the smart home environment.

Evaluating the Context Aware Browser

2011 ◽  
pp. 1-15
Author(s):  
Davide Menegon ◽  
Stefano Mizzaro ◽  
Elena Nazzi ◽  
Luca Vassena
Keyword(s):  
Mobile Devices ◽  
Early Stage ◽  
Context Aware ◽  
Web Content ◽  
Reliable Tool ◽  
Retrieval Systems ◽  
Web Contents ◽  
Current Context ◽  
Context Aware System

The authors discuss the evaluation of highly interactive and novel context-aware system with a methodology based on a TREC-like benchmark. We take as a case study an application for Web content perusal by means of context-aware mobile devices, named Context-Aware Browser. In this application, starting from the representation of the user’s current context, queries are automatically constructed and used to retrieve the most relevant Web contents. Since several alternatives for query construction exist, it is important to compare their effectiveness, and to this aim we developed a TREC-like benchmark. We present our approach to early stage evaluation, describing our aims and the techniques we apply. The authors underline how, for the evaluation of context-aware retrieval systems, the benchmark methodology adopted can be an extensible and reliable tool.

Key Enablers Assessment to Implement Industry 4.0 Technologies in the Future for the Turkish Manufacturing Sector

2021 ◽  
pp. 243-265
Author(s):  
Ahmet Çalık
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Manufacturing Companies ◽  
Analytic Hierarchy ◽  
Adoption And Implementation ◽  
Machinery Manufacturing ◽  
Hierarchy Process ◽  
Production And Operation

Industry 4.0 (I4.0), which reshapes traditional production and operation methods and causes companies to be under digital transformation, is currently an evolving research topic. Although advanced technologies can be easily adopted by large companies. In particular, there are still challenges in the adoption and implementation of I4.0 technologies in small and medium-sized enterprises (SMEs). This study examines the readiness of companies in the machinery manufacturing industry to implement I4.0 technologies in the context of SMEs. To achieve this goal, a multi-criteria decision-making (MCDM) approach including the pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) and fuzzy VIKOR (FVIKOR) is proposed. First, existing readiness models linked to the implementation of I4.0 technologies have been studied to specify key enablers. Then, the PFAHP method is used to obtain weights of enablers on I4.0 technologies. Finally, FVIKOR is applied to obtain ranking for five companies. A case study is conducted to measure the level of readiness of five manufacturing companies in Konya.

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