Enhancing operational performance and productivity benefits in breweries through smart manufacturing technologies

Industry 4.0 (I4.0) is built upon the capabilities of Internet of Things technologies that facilitate the recollection and processing of data. Originally conceived to improve the performance of manufacturing facilities, the field of application for I4.0 has expanded to reach most industrial sectors. To make the best use of the capabilities of I4.0, machine architectures and design paradigms have had to evolve. This is particularly important as the development of certain advanced manufacturing technologies has been passed from large companies to their subsidiaries and suppliers from around the world. This work discusses how design methodologies, such as those based on functional analysis, can incorporate new functions to enhance the architecture of machines. In particular, the article discusses how connectivity facilitates the development of smart manufacturing capabilities through the incorporation of I4.0 principles and resources that in turn improve the computing capacity available to machine controls and edge devices. These concepts are applied to the development of an in-line metrology station for automotive components. The impact on the design of the machine, particularly on the conception of the control, is analyzed. The resulting machine architecture allows for measurement of critical features of all parts as they are processed at the manufacturing floor, a critical operation in smart factories. Finally, this article discusses how the I4.0 infrastructure can be used to collect and process data to obtain useful information about the process.

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Decision Support for Smart Manufacturing

Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering ◽

10.4018/978-1-7998-9023-2.ch015 ◽

2021 ◽

pp. 334-347

Author(s):

Marzieh Khakifirooz ◽

Mahdi Fathi ◽

Panos M. Pardalos ◽

Daniel J. Power

Keyword(s):

Decision Making ◽

Optimization Techniques ◽

Smart Manufacturing ◽

Concept Generation ◽

Wide Range ◽

System Requirements ◽

Advanced Information Technology ◽

Traditional Manufacturing ◽

Manufacturing Technologies ◽

Manufacturing Environments

This work introduces a formation and variety of decision-making models based on operations research modeling and optimization techniques in smart manufacturing environments. Unlike traditional manufacturing, the goal of Smart manufacturing is to optimizing concept generation, production, and product transaction and enable flexibility in physical processes to address a dynamic, competitive and global supply chains by using intelligent computerized control, advanced information technology, smart manufacturing technologies and high levels of adaptability. While research in the broad area of smart manufacturing and its challenges in decision making encompasses a wide range of topics and methodologies, we believe this chapter provides a good snapshot of current quantitative modeling approaches, issues, and trends within the field. The chapter aims to provide insights into the system engineering design, emphasizing system requirements analysis and specification, the use of alternative analytical methods and how systems can be evaluated.

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Shop floor management system in the context of smart manufacturing: a case study

International Journal of Lean Six Sigma ◽

10.1108/ijlss-12-2017-0151 ◽

2019 ◽

Vol 11 (5) ◽

pp. 837-862 ◽

Cited By ~ 1

Author(s):

Diamantino Torres ◽

Carina Pimentel ◽

Susana Duarte

Keyword(s):

Cyber Security ◽

Performance Indicator ◽

Theoretical Background ◽

Smart Manufacturing ◽

Shop Floor ◽

Security Technology ◽

Content Type ◽

Smart Technologies ◽

Manufacturing Technologies

Purpose The purpose of this study intends to make a characterization of a shop floor management (SFM) system in the context of smart manufacturing, through smart technologies and digital shop floor (DSF) features. Design/methodology/approach To attain the paper objective, a mixed method methodology was used. In the first stage, a theoretical background was carried out, to provide a comprehensive understanding on SFM system in a smart manufacturing perspective. Next, a case study within a survey was developed. The case study was introduced to characterize a SFM system, while the survey was made to understand the level of influence of smart manufacturing technologies and of DSF features on SFM. In total, 17 experts responded to the survey. Findings Data analytics is the smart manufacturing technology that influences more the SFM system and its components and the cyber security technology does not influence it at all. The problem solving (PS) is the SFM component more influenced by the smart manufacturing technologies. Also, the use of real-time digital visualization tools is considered the most influential DSF feature for the SFM components and the data security protocols is the least influential one. The four SFM components more influenced by the DSF features are key performance indicator tracking, PS, work standardization and continuous improvement. Research limitations/implications The study was applied in one multinational company from the automotive sector. Originality/value To the best of the authors’ knowledge, this work is one of the first to try to characterize the SFM system on smart manufacturing considering smart technologies and DSF features.

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Implementing the Transformation of Discrete Part Manufacturing Systems Into Smart Manufacturing Platforms

Volume 3: Manufacturing Equipment and Systems ◽

10.1115/msec2018-6726 ◽

2018 ◽

Cited By ~ 3

Author(s):

Bhaskar Botcha ◽

Zimo Wang ◽

Sudarshan Rajan ◽

Natarajan Gautam ◽

Satish T. S. Bukkapatnam ◽

...

Keyword(s):

Real Time ◽

High Performance ◽

Manufacturing Systems ◽

Energy Savings ◽

Advanced Materials ◽

Smart Manufacturing ◽

Shop Floor ◽

Workflow System ◽

Manufacturing Technologies ◽

Discrete Part

Prior R&D efforts point to substantial performance enhancements and energy savings from adopting the Smart Manufacturing (SM) paradigm for process optimization and real-time quality assurance. Significant barriers and risks disincentivize the industry from investing in the adoption and training of SM component suites for discrete manufacturing applications. A diverse discrete part manufacturing enterprises, SM tools and platform vendors are yearning for a testbed reconfigurable to achieve three objectives of performance benchmarking, demonstration, and workforce training for a spectrum of their industrial scenarios and workflows. This paper presents the key ingredients towards the successful transformation of present machine tool and manufacturing environments into SM platform-integrated environments. The present implementation focuses on demonstration of the use of the Smart Manufacturing (SM) platform towards qualification of advanced materials and manufacturing technologies to meet an industry-specified functionality. This initial implementation uses Kepler workflow system residing as part of an Amazon Web Services environment to allow flexible workflows on multiple machines, each of which is integrated with an innovative sensor wrapper that integrates Commercial Off The Shelf (COTS) components from National Instruments (NI) to connect a legacy equipment to the SM platform. Here, an advanced analytics engine with modules customizable for both high-performance computing and shop floor environments was integrated into the commercial web service (from Amazon) to provide real-time monitoring and anomaly detection capability. This implementation indicates the potential of SM platform to achieve drastic reductions in the time and effort taken towards qualification of advanced materials and manufacturing technologies.

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Blockchain Reference System Architecture Description for the ISA95 Compliant Traditional and Smart Manufacturing Systems

Sensors ◽

10.3390/s20226456 ◽

2020 ◽

Vol 20 (22) ◽

pp. 6456 ◽

Cited By ~ 1

Author(s):

Erkan Yalcinkaya ◽

Antonio Maffei ◽

Mauro Onori

Keyword(s):

Manufacturing Systems ◽

Manufacturing Industry ◽

Research Effort ◽

Smart Manufacturing ◽

Reference Architecture ◽

Systematic Assessment ◽

Blockchain Technology ◽

Design Requirements ◽

Manufacturing Technologies ◽

Smart Manufacturing Systems

The next-generation technologies enabled by the industry 4.0 revolution put immense pressure on traditional ISA95 compliant manufacturing systems to evolve into smart manufacturing systems. Unfortunately, the transformation of old to new manufacturing technologies is a slow process. Therefore, the manufacturing industry is currently in a situation that the legacy and modern manufacturing systems share the same factory environment. This heterogeneous ecosystem leads to challenges in systems scalability, interoperability, information security, and data quality domains. Our former research effort concluded that blockchain technology has promising features to address these challenges. Moreover, our systematic assessment revealed that most of the ISA95 enterprise functions are suitable for applying blockchain technology. However, no blockchain reference architecture explicitly focuses on the ISA95 compliant traditional and smart manufacturing systems available in the literature. This research aims to fill the gap by first methodically specifying the design requirements and then meticulously elaborating on how the reference architecture components fulfill the design requirements.

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Smart Manufacturing Technology

Applied Sciences ◽

10.3390/app11178202 ◽

2021 ◽

Vol 11 (17) ◽

pp. 8202

Author(s):

Michele Calì

Keyword(s):

Applied Sciences ◽

Business Management ◽

Manufacturing Technology ◽

Smart Manufacturing ◽

Research Directions ◽

New Approach ◽

New Methods ◽

New Ideas ◽

Reducing Costs ◽

Manufacturing Technologies

This Special Issue of Applied Sciences provides a collection of original papers on smart manufacturing technology with the aim of: examining emerging aspects of digitalization in the industrial and biomedical fields, as well as in business management and sustainability; proposing and developing a new approach useful for companies, factories, and organizations to achieve greater innovation and productivity—as well as sustainability—by applying smart manufacturing technologies; and exploring new ideas and encouraging research directions so as to obtain autonomous and semiautonomous processes, high-quality products, and services with a greater integration and interconnection of resources while reducing costs. The advantages of new methods and experimental results obtained in the collected contributions are discussed promoting further design, implementation, and application in the various fields.

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A Systematic Review of Product Design for Space Instrument Innovation, Reliability, and Manufacturing

Machines ◽

10.3390/machines9100244 ◽

2021 ◽

Vol 9 (10) ◽

pp. 244

Author(s):

Kai-Leung Yung ◽

Yuk-Ming Tang ◽

Wai-Hung Ip ◽

Wei-Ting Kuo

Keyword(s):

Product Design ◽

Functional Performance ◽

Smart Manufacturing ◽

Main Research ◽

Space Instruments ◽

Review Study ◽

Space Environments ◽

Manufacturing Technologies ◽

Resource Support ◽

The Impact

The design and development of space instruments are considered to be distinct from that of other products. It is because the key considerations are vastly different from those that govern the use of products on planet earth. The service life of a space instrument, its use in extreme space environments, size, weight, cost, and the complexity of maintenance must all be considered. As a result, more innovative ideas and resource support are required to assist mankind in space exploration. This article reviews the impact of product design and innovation on the development of space instruments. Using a systematic literature search review and classification, we have identified over 129 papers and finally selected 48 major articles dealing with space instrument product innovation design. According to the studies, it is revealed that product design and functional performance is the main research focuses on the studied articles. The studies also highlighted various factors that affect space instrument manufacturing or fabrication, and that innovativeness is also the key in the design of space instruments. Lastly, the product design is important to affect the reliability of the space instrument. This review study provides important information and key considerations for the development of smart manufacturing technologies for space instruments in the future.

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IMPACT OF LEAN MANUFACTURING ON THE OPERATIONAL PERFORMANCE: EVIDENCE FROM TEXTILE INDUSTRY

Humanities & Social Sciences Reviews ◽

10.18510/hssr.2021.9393 ◽

2021 ◽

Vol 9 (3) ◽

pp. 951-961

Author(s):

Muhammad Naeem ◽

Nisar Ahmad ◽

Sarfraz Hussain ◽

Bilal Nafees ◽

Aatir Hamid

Keyword(s):

Regression Analysis ◽

Lean Manufacturing ◽

Textile Industry ◽

Operating Performance ◽

Operational Performance ◽

Employee Productivity ◽

Production Methods ◽

Manufacturing Operations ◽

Manufacturing Technologies ◽

The Impact

Purpose of the study: Lean manufacturing is perceived to be a significant competitive advantage of firms as it removes waste from manufacturing operations with innovations in products and processes. This research aims to know the impact of lean manufacturing practices of textile firms on their operational efficiency. Methodology: For this study, questionnaires were electronically sent to operation/ production managers of 122 textile firms using lean manufacturing technologies in Pakistan. Based on the literature review, nine lean manufacturing practices and five operational performance measures were included in the questionnaire survey. Just 91 operation managers replied, a response rate of 74%. Multiple regression analysis was performed to test the hypotheses of the study. Main findings: The results of regression analysis show that lean manufacturing practices significantly impact the operational performance of textile firms. The study's findings suggest that the involvement of customers, suppliers, and employees causes an increase in the operating performance of firms. Moreover, it is established that some lean manufacturing practices such as 5S, automation (Jidoka), Justin time (JIT), equipment layout, and continuous improvement (Kaizen) have a significant and positive effect on the operational performance of firms. Application of the study: The lean manufacturing practices save money for businesses and increases overall productivity by reducing waste. These are also helpful in increasing consumer loyalty and employee productivity. The study's results show that lean production methods can be adopted to improve operating performance and competitiveness. Originality/ Novelty: This study adds a piece of first-hand evidence by establishing a significant effect of lean manufacturing practices of firms on their operational performance in Pakistan, where most of the firms so far are using traditional techniques due to lack of financial resources.

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