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Journal articles on the topic 'Industrial manufacturing operations'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Gola, Arkadiusz, Chandima Ratnayake, and Martin Krajčovič. "Manufacturing Systems Operations and Engineering." Applied Sciences 15, no. 9 (2025): 4617. https://doi.org/10.3390/app15094617.

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Although the issues of design, organization, and management of industrial systems have been known in the literature for many years, the beginning of the 21st century, as a consequence of market changes and unprecedented technological development, initiated a change in the paradigms of organization and the need to use innovative tools for improving and optimizing production processes [...]

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Olayinka Akinbolajo. "Digital twin technology for sustainable industrial operations." World Journal of Advanced Research and Reviews 22, no. 2 (2024): 2347–53. https://doi.org/10.30574/wjarr.2024.22.2.1342.

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Digital Twin Technology (DTT) is revolutionizing the industrial landscape by enabling real-time virtual representations of physical systems. As industries pursue sustainability goals, the integration of digital twins into smart factories presents a transformative solution for enhancing energy efficiency, minimizing waste reduction, and optimizing lifecycle management. This article explores the foundational principles of DTT, its implementation in industrial automation, and its role in advancing sustainable manufacturing. Through an analysis of Industry 4.0 applications, predictive maintenance,

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Amulya, Tiwari, Verma Tanishk, and A.K Madan Dr. "Industrial AI in Manufacturing." International Journal of Innovative Science and Research Technology 7, no. 5 (2022): 416–21. https://doi.org/10.5281/zenodo.6609306.

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Engineering expertise and the digitization of all business operations are the important factors in today's industrial firms' success. The engineer's design process and expertise are highly personal, and rulebased procedure explanations are almost always difficult and/or time-consuming. As a result, passing on existing information to new engineers, particularly training effort, is very challenging. Another issue is the lack of an overview of the company's existing components. Multiple designs and engineers spend their valuable time as a result of this. The goal of this approach

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Johansson, Pontus, and Jan Olhager. "Linking product–process matrices for manufacturing and industrial service operations." International Journal of Production Economics 104, no. 2 (2006): 615–24. http://dx.doi.org/10.1016/j.ijpe.2005.12.008.

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Gan'kin, N. "The Impact of Extended Lean Manufacturing Principles on the Economic Efficiency of Industrial Companies." Scientific Research and Development. Economics of the Firm 11, no. 3 (2022): 54–62. http://dx.doi.org/10.12737/2306-627x-2022-11-3-54-62.

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The main purpose of this study is an analytical proof of the effect of the extended principles of lean manufacturing of economic products on the economic efficiency of industrial companies. To achieve this goal, the following tasks were performed: the tendency to increase the share of value-added operations was investigated, the analysis of existing cost accounting methods was carried out, it was proposed to consider the cost structure depending on the type of operation. The object of research is modern industrial enterprises using the concept of lean manufacturing and its analogues. The

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Wilson, John R., David J. Brown, Susan V. Cobb, Mirabelle M. D'Cruz, and Richard M. Eastgate. "Manufacturing Operations in Virtual Environments (MOVE)." Presence: Teleoperators and Virtual Environments 4, no. 3 (1995): 306–17. http://dx.doi.org/10.1162/pres.1995.4.3.306.

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During the past 2 years, the way in which industry views virtual reality (VR) has changed. Previously, only a few large companies were assessing virtual environments either as “internal marketing exercises” or through demonstration worlds built for them by outside consultants or universities; most other industrialists may have seen VR as only having entertainment applications. Now there is some evidence that parts of industry, and manufacturing industry in particular, see VR as an increasingly affordable technology with potentially wide-ranging applications. This paper briefly describes a rece

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Eyers, Daniel. "Control architectures for Industrial Additive Manufacturing Systems." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 10 (2017): 1767–77. http://dx.doi.org/10.1177/0954405417703420.

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As the emergent technologies of Industrial Additive Manufacturing become increasingly employed in commercial manufacturing environments, challenges arise in terms of how resources of the manufacturing system should be marshalled and controlled for sustainable manufacturing. While control architectures are well established for conventional manufacturing, to-date there has been little explicit consideration for Industrial Additive Manufacturing. This article provides redress for this research gap by exploring four feasible control architectures employed in current manufacturing practice. Drawing

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Anbessia, Mulugeta, and Bhim Singh. "Optimization of Industrial Performance by Lean 4.0." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 865–78. http://dx.doi.org/10.22214/ijraset.2024.58948.

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Abstract: Lean is one of the older but also still urgent topics in manufacturing. Remember when Lean principles were the one and only way for improving manufacturing products and production sector, many industries are struggling to compete with the manufacturing sector emerging in different countries around the world by using lean manufacturing tools, but moments are changing. As operations have become capacity for innovation, flexible and more complex, manufacturers are finding that Lean methods solely are not enough to achieve certified operational excellence.so; Industry 4.0 is one of the h

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Eyers, Daniel R., Andrew T. Potter, Jonathan Gosling, and Mohamed M. Naim. "The flexibility of industrial additive manufacturing systems." International Journal of Operations & Production Management 38, no. 12 (2018): 2313–43. http://dx.doi.org/10.1108/ijopm-04-2016-0200.

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Purpose Flexibility is a fundamental performance objective for manufacturing operations, allowing them to respond to changing requirements in uncertain and competitive global markets. Additive manufacturing machines are often described as “flexible,” but there is no detailed understanding of such flexibility in an operations management context. The purpose of this paper is to examine flexibility from a manufacturing systems perspective, demonstrating the different competencies that can be achieved and the factors that can inhibit these in commercial practice. Design/methodology/approach This s

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Zhou, Hang, Rui Qian Li, and Yue Yu. "Investigation of the Datamation of Manufacturing Industrial Chain in the Big Data Era." Applied Mechanics and Materials 670-671 (October 2014): 1629–32. http://dx.doi.org/10.4028/www.scientific.net/amm.670-671.1629.

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The big data era enable us to carry out data operations based on the extremely large data volumes to realize the datamation of manufacturing industrial chain. This provides us a good opportunity to optimize the manufacturing industrial chain and upgrade the development of manufacturing industry. In order to provide beneficial references for the optimization of manufacturing industrial chain and the development of manufacturing industry, in this paper, we explore new paths to realize the datamation of manufacturing industrial chain based on the big data era background. We also analyze the advan

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11

Haddock, Jorge, and Leo E. Hanifin. "SPECIAL ISSUE: Operations Research Applications in Manufacturing." IIE Transactions 20, no. 1 (1988): 3. http://dx.doi.org/10.1080/07408178808960288.

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12

Montoya-Torres, Jairo R. "Editorial: Intelligent optimization for manufacturing operations." Journal of Intelligent Manufacturing 22, no. 5 (2009): 765–66. http://dx.doi.org/10.1007/s10845-009-0372-9.

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13

Pena-Sanchez, Rolando. "LEADERSHIP OF COUNTRIES SUPPORTING PROJECT MANAGEMENT IN INDUSTRIAL AND MANUFACTURING OPERATIONS." International Journal of Business Research 22, no. 2 (2022): 78–90. http://dx.doi.org/10.18374/ijbr-22-2.8.

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14

Kim, Bowon. "Manufacturing learning propensity in operations improvement." Human Factors and Ergonomics in Manufacturing 8, no. 1 (1998): 79–104. http://dx.doi.org/10.1002/(sici)1520-6564(199824)8:1<79::aid-hfm5>3.0.co;2-b.

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15

Phogat, Sandeep, and Anil Kumar Gupta. "Identification of problems in maintenance operations and comparison with manufacturing operations." Journal of Quality in Maintenance Engineering 23, no. 2 (2017): 226–38. http://dx.doi.org/10.1108/jqme-06-2016-0027.

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Purpose In the present context of globalization, maintenance of production systems is very important. A lot of organizations are facing many problems in maintenance management. Therefore, the purpose of this paper is to identify the main problems in maintenance operations and compare these problems with those in manufacturing operations as found in the literature for effective maintenance. Design/methodology/approach To identify the main problems in maintenance operations and to compare them with those in manufacturing operations, a large amount of published literature was studied. The paper s

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Ghelase, Daniela, and Luiza Daschievici. "Advanced Manufacturing System." Engineering World 5 (May 24, 2023): 38–43. http://dx.doi.org/10.37394/232025.2023.5.5.

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In order to address the present-day changes and tendencies, the industrial enterprise has advanced in its manner of approaching the manufacturing processes by performing a high integration of operations, functions and compartments. One can say that we are dealing with a single structure, with no organising levels, of the enterprise which reacts to inputs and manufactures the requested product by almost immediately adapting to the customers’ requirements or to the requirements of other interested parties.

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Olhager, Jan, Fredrik Persson, and Jens O. Riis. "Manufacturing and service operations networks." Production Planning & Control 20, no. 2 (2009): 99–100. http://dx.doi.org/10.1080/09537280802705187.

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18

Morady Gohareh, Mehdy, Naser Shams Gharneh, and Reza Ghasemy Yaghin. "Techniques for cash management in scheduling manufacturing operations." Journal of Industrial Engineering International 13, no. 2 (2016): 265–73. http://dx.doi.org/10.1007/s40092-016-0171-9.

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Wu, Chun-Ho, Stephen Chi-Hung Ng, Keith Chun-Man Kwok, and Kai-Leung Yung. "Applying Industrial Internet of Things Analytics to Manufacturing." Machines 11, no. 4 (2023): 448. http://dx.doi.org/10.3390/machines11040448.

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The proliferation of Industry 4.0 (I4.0) technologies has created a new manufacturing landscape for manufacturing, requiring that companies follow I4.0 trends to stay competitive. However, in this novel digital automated environment, these companies must also ensure that lean manufacturing principles are upheld. This study proposes a data-driven framework for analysing raw data across machines in manufacturing systems that can provide a comprehensive understanding of idle time and facilitate adjustments to reduce defect rates. This framework offers an alternative approach to improving manufact

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20

Ivan, Andrei Mario, Florin Adrian Nicolescu, Georgia Cezara Avram, and Adrian Theodor Mantea. "Off-Line Programming and Functioning Simulation of Robotic Flexible Manufacturing Cell for Part's Turning." Applied Mechanics and Materials 760 (May 2015): 213–18. http://dx.doi.org/10.4028/www.scientific.net/amm.760.213.

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This paper presents the works performed by the authors in the field of robotic flexible manufacturing cell offline programming and simulation. The study includes a manufacturing cell structure which includes a part transport system, a CNC lathe / turning centre and an articulated arm type industrial robot. The robot performs the task of loading / unloading the CNC lathe / manufacturing centre and manipulating the parts inside the cell, while the machining operations are performed by the CNC manufacturing centre. After briefly presenting the layout of the cell, the paper focuses on describing t

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21

Raval, Shreeom, Harshil Raval, Darshit Seta, and Rathour Anilkumar. "DESIGN AND DEVELOPMENT OF MULTI SPINDLE DRILLING MACHINE." International Journal of Innovative Research in Advanced Engineering VII, no. VI (2020): 299–304. https://doi.org/10.26562/ijirae.2020.v0706.003.

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This paper discusses the case study and comparison with productivity of component using traditional drilling machine to Multi spindle drilling machine. The growth of Indian manufacturing sector depends upon many factors, one of the major factors being manufacturing efficiency with which the operation /activities are carried out in the organization. Productivity can be improved by reducing the total machining time, combining the operations, etc. There are frequent needs of tightening and loosening screws, drilling, tapping, boring and grinding operational machines. Huge and complicated designed

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Cheng, Ying, Luning Bi, Fei Tao, and Ping Ji. "Hypernetwork-based manufacturing service scheduling for distributed and collaborative manufacturing operations towards smart manufacturing." Journal of Intelligent Manufacturing 31, no. 7 (2018): 1707–20. http://dx.doi.org/10.1007/s10845-018-1417-8.

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23

Kusiak, Andrew. "Service manufacturing = Process-as-a-Service + Manufacturing Operations-as-a-Service." Journal of Intelligent Manufacturing 31, no. 1 (2020): 1–2. http://dx.doi.org/10.1007/s10845-019-01527-3.

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Tripathi, Varun, Somnath Chattopadhyaya, A. K. Mukhopadhyay, et al. "A Novel Smart Production Management System for the Enhancement of Industrial Sustainability in Industry 4.0." Mathematical Problems in Engineering 2022 (April 13, 2022): 1–24. http://dx.doi.org/10.1155/2022/6424869.

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In industry 4.0, shop floor management teams are increasingly focused on developing an unprecedented strategy to avoid financial losses and address the challenges and problems encountered in operations management. In the present scenario, the management teams use various process optimization approaches for operational control, including lean manufacturing, smart manufacturing, the internet of things, and artificial intelligence. The process optimization approach is used to maximize productivity within limited constraints on the shop floor. The present research aims to develop a smart productio

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25

Zhang, Yutian. "The Impact of Mechanical Arm Applications on Industrial Intelligent Transformation." Applied and Computational Engineering 148, no. 1 (2025): 19–25. https://doi.org/10.54254/2755-2721/2025.22292.

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This paper investigates the critical impact of industrial robotic arms on the shift towards intelligent manufacturing, a transition defined by Industry 4.0. We explore the ways in which these arms, characterized by their growing flexibility and accuracy, are transforming smart manufacturing by boosting productivity, safety, and comfort in the workplace. Our research covers the historical development of robotic arm technology, its significant improvements, and its use in diverse fields such as factory automation, space missions, medical operations, and agriculture. We evaluate how robotic arms

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Sidhu, Ardamanbir Singh, Sehijpal Singh, Raman Kumar, Danil Yurievich Pimenov, and Khaled Giasin. "Prioritizing Energy-Intensive Machining Operations and Gauging the Influence of Electric Parameters: An Industrial Case Study." Energies 14, no. 16 (2021): 4761. http://dx.doi.org/10.3390/en14164761.

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Increasing the energy efficiency of machining operations can contribute to more sustainable manufacturing. Therefore, there is a necessity to investigate, evaluate, and optimize the energy consumed during machining operations. The research highlights a method employed to prioritize the most energy-intensive machining operation and highlights the significance of electric parameters as predictors in power estimation of machining operations. Multi regression modeling with standardized regression weights was used to identify significant power quality predictors for active power evaluation for mach

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KUMAR, PRASHANT. "Transforming Operations: A Comprehensive Analysis of Industry 4.0 Technologies in Operations Management." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32416.

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In the introductory part of this paper, we provide a brief overview of the research subject matter, research topic, research problem, thesis topic, research questions, and disposition of this paper. Background Industry 4.0 brings about a major transformation in automotive manufacturing. It is characterized by the use of advanced information analytics, networked machines, and digitalization within organizations. In addition, it is characterized by the integration of internet technologies with forward-looking technologies in the domain of "smart" objects. However, there is no single definition o

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Sattarova, Kseniya T., Victoria V. Kokareva, and Nikolay D. Pronichev. "The Ratio-Delay Method of the Manufacturing System Analysis." Applied Mechanics and Materials 770 (June 2015): 641–44. http://dx.doi.org/10.4028/www.scientific.net/amm.770.641.

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This paper describes the application of a ratio-delay to a study of operations of mechanical Job-Shop production in Samara factory. To analyze the operations efficiency it may be necessary to obtain organizational and technical data in each job stages. In fact, ratio-delay is an effective tool to determine direct labor productivity for shop floor activities. In the context of manufacturing operations, ratio-delay can determine productivity levels as a baseline that provides focus for new “industrial engineered” improvement measures of complex re-engineering project or lean management.

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Nahm, A. Y., and M. A. Vonderembse. "Theory development: An industrial/post-industrial perspective on manufacturing." International Journal of Production Research 40, no. 9 (2002): 2067–95. http://dx.doi.org/10.1080/00207540210128233.

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Dipteshkumar Madhukarbhai Patel. "Enterprise integration and interoperability for big data-driven manufacturing operations." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 622–38. https://doi.org/10.30574/wjaets.2025.15.1.0220.

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The convergence of emerging technologies such as the Internet of Things, big data analytics, and Artificial Intelligence has established Enterprise Integration and Interoperability as a critical scientific challenge in modern manufacturing. As the fourth industrial revolution gains momentum, traditional manufacturing enterprises face significant obstacles in adapting to new data management and interoperability paradigms. This article examines how Enterprise Integration and Interoperability frameworks can enable efficient communication among various services driven by big data in manufacturing

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Chandra, Charu, and Sameer Kumar. "Enhancing manufacturing operations effectiveness through knowledge based design." Integrated Manufacturing Systems 14, no. 3 (2003): 278–92. http://dx.doi.org/10.1108/09576060310463226.

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Cao, Jin, Junliang Wang, and Junqing Lu. "A Referenced Cyber Physical System for Compressor Manufacturing." MATEC Web of Conferences 306 (2020): 02005. http://dx.doi.org/10.1051/matecconf/202030602005.

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Compressor is a typical high-end discrete product，with the shortening of product life cycle and the enhancement of the degree of product customization, the traditional compressor manufacturing system architecture cannot meet the requirements of comprehensive digital management of compressor from body scheme design to parts production line, logistics management, operation and maintenance monitoring and evaluation. This paper presents a compressor manufacturing system architecture based on digital twinning, and establishes an Internet platform for compressor industry oriented to remote coordinat

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Masson, Colin. "The Customer-Centric Digital Strategy." Manufacturing Management 2018, no. 5 (2018): 11. http://dx.doi.org/10.12968/s2514-9768(23)90131-6.

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O’Connell, Edward J. "On-Site Emergency Response Planning Guide for Office, Manufacturing, & Industrial Operations,." Health Physics 82, no. 6 (2002): 906. http://dx.doi.org/10.1097/00004032-200206000-00025.

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Gattola, Valeria, Riccardo Patriarca, Gianluca Tomasi, and Massimo Tronci. "Functional resonance in industrial operations: A case study in a manufacturing plant." IFAC-PapersOnLine 51, no. 11 (2018): 927–32. http://dx.doi.org/10.1016/j.ifacol.2018.08.489.

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M.T. Thomé, Antônio, Rui Soucasaux Sousa, and Luiz F.R.R.S. do Carmo. "Complexity as contingency in sales and operations planning." Industrial Management & Data Systems 114, no. 5 (2014): 678–95. http://dx.doi.org/10.1108/imds-10-2013-0448.

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Purpose – The purpose of this paper is to test whether complexity interacts with Sales and Operations Planning (S&OP) practices by positively moderating the impact of S&OP practices on manufacturing operational performance dimensions of quality, flexibility and delivery. Design/methodology/approach – Three hypotheses are developed on the relationships between S&OP practices, task complexity and process complexity and manufacturing operational performance. Scales are validated with structural equation modelling. The hypotheses are tested through a hierarchical regression analysis us

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Sansone, Cinzia, Per Hilletofth, and David Eriksson. "Critical operations capabilities for competitive manufacturing: a systematic review." Industrial Management & Data Systems 117, no. 5 (2017): 801–37. http://dx.doi.org/10.1108/imds-02-2016-0066.

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Purpose The purpose of this paper is to investigate systematically the topic of operations capabilities within the operations strategy area. The output is a framework that will benefit researchers and firms to gain a more complete understanding of critical operations capabilities. Design/methodology/approach The research methodology is a systematic literature review. The aim of this study is to provide a snapshot of the diversity of studies being conducted in the field of operations capabilities, within the operations strategy area. In total, 157 papers were taken into consideration. Various o

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Kathawala, Yunus. "Expert Systems: Implications for Operations Management." Industrial Management & Data Systems 90, no. 6 (1990): 12–16. http://dx.doi.org/10.1108/02635579010004161.

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Several examples of successful expert systems applications are presented. Examples of expert systems as applied in process planning, operations planning, inventory control, process design, quality control and scheduling are covered, and the performance of these expert systems is described. Expert systems will become an essential part of computer‐integrated manufacturing (CIM) and flexible manufacturing systems (FMS) because they can perform several of the tasks mentioned above.

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Al Ghazo, Alaa T., Mohammed Abu Mallouh, Sa’ed Alajlouni, and Islam T. Almalkawi. "Securing Cyber Physical Systems: Lightweight Industrial Internet of Things Authentication (LI2A) for Critical Infrastructure and Manufacturing." Applied System Innovation 8, no. 1 (2025): 11. https://doi.org/10.3390/asi8010011.

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The increasing incorporation of Industrial Internet of Things (IIoT) devices into critical industrial operations and critical infrastructures necessitates robust security measures to safeguard confidential information and ensure dependable connectivity. Particularly in Cyber Physical Systems (CPSs), IIoT system security becomes critical as systems become more interconnected and digital. This paper introduces a novel Lightweight Industrial IoT Authentication (LI2A) method as a solution to address security concerns in the industrial sector and smart city infrastructure. Mutual authentication, au

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Su, Shoufei, and Juan Zhang. "Research on Cross-border E-commerce Empowering the Transformation and Upgrading of Dongguan’s Manufacturing Industry." Proceedings of Business and Economic Studies 7, no. 6 (2024): 207–12. https://doi.org/10.26689/pbes.v7i6.9129.

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With the rise of the global digital economy and the deep integration of digital technology into traditional manufacturing operations, cross-border e-commerce provides a new commercial model and pathways for transforming and upgrading Dongguan’s traditional manufacturing industry. It also offers perspectives for enhancing the integration of online and offline operations while advancing the industrial Internet process. This study examines the impact of cross-border e-commerce on Dongguan manufacturing, highlighting its role in improving production efficiency, expanding international markets, and

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Liberopoulos, George, Cathal Heavey, Stefan Helber, Fikri Karaesmen, and Andrea Matta. "Contributions to stochastic models of manufacturing and service operations." IISE Transactions 50, no. 3 (2018): 141–42. http://dx.doi.org/10.1080/24725854.2018.1404810.

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Mitchell, Jerry D., Kumar Abhinava, Kristi L. Griffiths, Bernard McGarvey, Kevin D. Seibert, and Shanthi Sethuraman. "Unit Operations Characterization Using Historical Manufacturing Performance." Industrial & Engineering Chemistry Research 47, no. 17 (2008): 6612–21. http://dx.doi.org/10.1021/ie071256h.

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Li, Wenhua, Jinfang Lv, and Qi Sun. "Hierarchical Membrane Computing Algorithms for Optimizing Customer-to-Green-Manufacturer Decision-Making in Industrial Internet Platforms." Processes 13, no. 1 (2025): 262. https://doi.org/10.3390/pr13010262.

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This paper proposes a dynamic membrane algorithm (DMA)-oriented computing framework designed to optimize decision-making in Customer-to-Green-Manufacturer (C2GM) operations on industrial internet platforms. Unlike traditional methods that focus solely on economic metrics, the DMA integrates membrane computing principles with evolutionary optimization techniques and incorporates green manufacturing objectives (e.g., energy efficiency, waste reduction, carbon footprint). By doing so, it dynamically aligns customer demands with manufacturing capabilities in real time, ensuring both operational ef

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Prabhu, Vinayak Ashok, Narendi Muhandri, Boyang Song, and Ashutosh Tiwari. "Decision support system enabled by depth imaging sensor data for intelligent automation of moving assemblies." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 1 (2016): 51–66. http://dx.doi.org/10.1177/0954405416645984.

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Automation, driven by informatics, enables manufacturing companies to increase productivity and meet market demands for cost-effective and high-quality products. However, many manufacturing operations across industry verticals continue to be manual even today. One such example is the manual assembly of the final trim and wheels in an automotive production line where there is heavy reliance on human decision-making pertaining to when, where and how to install components on and inside a constantly moving vehicle body. The main aim of this work is to develop a rule-based decision support system t

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45

Toktay, L. Beril, and Donna Wei. "Cost Allocation in Manufacturing-Remanufacturing Operations." Production and Operations Management 20, no. 6 (2011): 841–47. http://dx.doi.org/10.1111/j.1937-5956.2011.01236.x.

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46

Iqtiar, Md Siddique. "Industrial Implementation of Emerging Engineering Technologies." European Journal of Advances in Engineering and Technology 9, no. 9 (2022): 93–99. https://doi.org/10.5281/zenodo.13254424.

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The field of engineering technologies and industrial applications encompasses a diverse array of innovations aimed at enhancing manufacturing practices, boosting efficiency, and promoting sustainable development. This study investigates recent advancements in engineering technologies, with a focus on areas such as mechanisation, additive manufacturing, and materials science. Notable developments include the integration of artificial intelligence (AI) and machine learning for predictive maintenance, the use of 3D printing for rapid prototyping and production, and the development of advanced mat

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Kapletia, Dharm, Wendy Phillips, Nick Medcalf, Harris Makatsoris, Chris McMahon, and Nick Rich. "Redistributed manufacturing – challenges for operations management." Production Planning & Control 30, no. 7 (2019): 493–95. http://dx.doi.org/10.1080/09537287.2018.1540057.

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Obiko, Japheth, Talent Kachomba, James Mutua, et al. "A brief review on industrial remanufacturing of structural and functional components: Wire-Arc Additive Manufacturing Technique." Engineering Solid Mechanics 12, no. 4 (2024): 363–86. http://dx.doi.org/10.5267/j.esm.2024.5.004.

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Many industries rely heavily on the availability and reliability of complex structural and functional components to execute operations efficiently. However, failure of components during service occurs due to exposure to unfavourable operating conditions, causing wear and tear of these components. The damage will result in costly downtime and potential safety hazards. Repairing, remanufacturing and refurbishing these complex parts is critical. Restoring broken structures into operation ensures the smooth operation of the industry, thus preventing losses. Conventionally, repairing parts poses a

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De Lima Lira, Gilson, Felipe Bastos dos Reis, and Adriana Marotti de Mello. "The impacts of Industry 4.0 enabling technologies on operational strategy." Future Studies Research Journal: Trends and Strategies 15, no. 1 (2023): e0756. http://dx.doi.org/10.24023/futurejournal/2175-5825/2023.v15i1.756.

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Purpose: Adapting to technological advances is a pertinent challenge for operations in the Manaus Industrial Park. This study aims to address the following research question: how do Industry 4.0 (I4.0) enabling technologies impact the quality and flexibility strategy in the Manaus Industrial Park? Originality / Value: This study developed a systematic and structured way to understand the benefits of I4.0 technologies in quality strategies and flexibility of manufacturing production lines. Manaus Industrial Park plays an essential role in the development of innovations in the Amazon region, and

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Rodríguez, Rogelio Lopez, Juan Carlos Quiroz Sánchez, Alicia Lopez Ortiz, Juan Gabriel López Hernández, and Olivia Yessenia Vargas Bernal. "Optimal Control in Manufacturing Areas Increase the Productivity in the Aerospace Industry of Mexicali, Baja California, México." Indian Journal of Management and Language 1, no. 1 (2021): 26–32. http://dx.doi.org/10.35940/ijml.b2019.041121.

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Abstract:

The efficient control in the manufacturing control is very essential to increase the productivity and some specialized devices are made with and adequate functions. These devices are MEMS (Micro Electromechanical Systems), which are low-power microdevices widely used in the industrial processes of the Mexicali aerospace industry, which have the function of controlling the operation of industrial systems at any stage of manufacturing by evaluating the way to carry out their activities, comparing standardized values with data real and activate and deactivate high power actuator mechanisms such a

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