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Journal articles on the topic 'Quick Response Manufacturing'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Nelfiyanti and Nik Mohd Zuki Nik Mohamed. "Quick response manufacturing and ergonomic consequences in manufacturing environment." IOP Conference Series: Materials Science and Engineering 788 (June 6, 2020): 012031. http://dx.doi.org/10.1088/1757-899x/788/1/012031.

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2

Gromova, E. A. "Quick response manufacturing as a promising alternative manufacturing paradigm." IOP Conference Series: Materials Science and Engineering 898 (August 25, 2020): 012047. http://dx.doi.org/10.1088/1757-899x/898/1/012047.

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3

Aliyev, E. V., and O. M. Pykhteyeva. "Perspective of Practical Application of Quick Response Manufacturing." Bulletin of Kalashnikov ISTU 20, no. 4 (2017): 117. http://dx.doi.org/10.22213/2413-1172-2017-4-117-121.

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В современном мире с его серьезными требованиями каждое предприятие, чтобы быть конкурентоспособным, постоянно должно совершенствовать технологии производства и повышать свою эффективность. Традиционные подходы, направленные на снижение затрат, ориентированы на сокращение простоев ресурсов, а не на снижение реального времени выполнения заказа, включая внутренние и внешние операции организации. Стремясь повысить свою конкурентоспособность, компании обращают внимание на известные производственные концепции, которые позволяют добиться повышения эффективности работы предприятия. К одной из таковых можно отнести концепцию быстрореагирующего производства. Статья посвящена изучению основных особенностей концепции быстрореагирующего производства (Quick Response Manufacturing, QRM), обеспечивающей повышение эффективности функционирования предприятий. Применение технологии QRM обеспечивает наиболее значительные результаты применительно к единичному и мелкосерийному производству, ориентированному непосредственно на удовлетворение потребностей конечного потребителя. Рассматривается организация производства на основе принципов быстрореагирующего производства, отличия и сходства между быстрореагирующим и бережливым производством. Описаны ключевые проблемы внедрения быстрореагирующего производства и возможные их решения, обозначена эволюция производственных концепций. Предложена модель бесперебойного производства, для осуществления которой необходимо четко продумать процессы, обеспечить качественными ресурсами и временем, назначить срок выполнения для каждого процесса и мотивировать ответственных на выполнение.

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4

Grubb, Lee. "Using total cycle time for quick response manufacturing." Assembly Automation 18, no. 1 (1998): 20–24. http://dx.doi.org/10.1108/01445159810201234.

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5

Gómez P., Fernando J., and Moacir Godinho Filho. "Complementing lean with quick response manufacturing: case studies." International Journal of Advanced Manufacturing Technology 90, no. 5-8 (2016): 1897–910. http://dx.doi.org/10.1007/s00170-016-9513-4.

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6

Yan, H., S. L. Tang, and G. Yen. "Quick response procurement cost control strategy for fabric manufacturing." International Journal of Production Research 46, no. 17 (2008): 4769–84. http://dx.doi.org/10.1080/00207540701210037.

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7

Allen, Robert M. "Quick response: The consumer's handshake with manufacturing at union tools." National Productivity Review 14, no. 3 (1995): 27–38. http://dx.doi.org/10.1002/npr.4040140305.

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8

Al-Atroshi, Akela, Sama Al-Aubaidy, and Salar Abdul hameed. "An Application of Integration (GBOM & GPS) for Quick Response Manufacturing." AL-Rafidain Journal of Computer Sciences and Mathematics 7, no. 1 (2010): 117–33. http://dx.doi.org/10.33899/csmj.2010.163851.

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9

Emboava, Fábio Nogueira, Rodolfo Cardoso, and Iara Tammela. "A comparative analysis between the quick response manufacturing and time-based competition methodologies." Brazilian Journal of Operations & Production Management 14, no. 3 (2017): 414. http://dx.doi.org/10.14488/bjopm.2017.v14.n3.a14.

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This article compares the Quick Response Manufacturing and Time-Based Competition methodologies and identifies their similarities and differences. This investigation deepens our understanding in terms of Quick Response Manufacturing pursuing a theoretical framework for applications in Brazilian companies. Data was collected from publications aimed at presenting and discussing the tactics and approaches of the methodologies. Similarity and difference classification tables are presented. The results reveal that 67% of all approaches compared were classified as analogous and 19% were not analogous. In addition, 14% of approaches presented the non-existence of similarities.

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10

Shin, Jin-Kyo, and Choo-Hui Park. "The Case Study of PT. Busana Prima Global’s Quick Response Manufacturing System." Korea Business Review 22, no. 1 (2018): 245–68. http://dx.doi.org/10.17287/kbr.2018.22.1.245.

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11

Cheng Siong, Bong, and Chong Kuan Eng. "Implementing Quick Response Manufacturing to Improve Delivery Performance in an ETO Company." International Journal of Engineering & Technology 7, no. 2.28 (2018): 38. http://dx.doi.org/10.14419/ijet.v7i2.28.12879.

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As the pressure is increasing to compete with others to get customer orders in the global market, companies are struggling to build up competitive advantages that are hard to imitate. The trend shows more and more customers demand faster product delivery in the last decade. The Quick Response Manufacturing (QRM) approach provides significant benefits to engineer-to-order (ETO) companies through its focus on lead time reduction. A precision parts manufacturer was selected as case study to what extent QRM is a suitable solution to improve the delivery performance. This paper describes the implementation of the QRM concepts and illustrates how they were deciphered into practices that streamline the process across the organization. The study measures the effectiveness of the QRM framework through its ability to achieve better performance through concurrently reducing manufacturing critical-path time, lowering capacity utilization level and increasing throughput.

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12

Fernandes, Nuno Octávio, and Sílvio do Carmo-Silva. "Generic POLCA—A production and materials flow control mechanism for quick response manufacturing." International Journal of Production Economics 104, no. 1 (2006): 74–84. http://dx.doi.org/10.1016/j.ijpe.2005.07.003.

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13

Godinho Filho, Moacir, Antonio Gilberto Marchesini, Jan Riezebos, Nico Vandaele, and Gilberto Miller Devós Ganga. "The extent of knowledge of Quick Response Manufacturing principles: an exploratory transnational study." International Journal of Production Research 55, no. 17 (2016): 4891–911. http://dx.doi.org/10.1080/00207543.2016.1268729.

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14

Upton, David M. "Flexibility as process mobility: The management of plant capabilities for quick response manufacturing." Journal of Operations Management 12, no. 3-4 (1995): 205–24. http://dx.doi.org/10.1016/0272-6963(95)00004-c.

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15

Yusoof, M. Y. M., N. M. Z. N. Mohamed, Nelfiyanti, and M. Z. I. A. Hadi. "The effect of quick response manufacturing in factory layout: Assessment using Witness software." IOP Conference Series: Materials Science and Engineering 1078, no. 1 (2021): 012027. http://dx.doi.org/10.1088/1757-899x/1078/1/012027.

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16

Koštál, Peter, and Andrea Mudriková. "Laboratory for Drawingless Manufacturing." Research Papers Faculty of Materials Science and Technology Slovak University of Technology 26, no. 42 (2018): 145–49. http://dx.doi.org/10.2478/rput-2018-0017.

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Abstract To achieve quick response of production, it is necessary to abandon the traditional form of production process planning. Nowadays, most of the products are designed by using CAx software. The product design 3D model contains not only the geometrical data of product, but may contain a part of the process plan and technological data as well. The process plan is important to enter the process of manufacturing of various precision engineering components of complex shape. Using the highest level of programming through graphical engineering system, a 3D model and the ISO programs using CNC machine tools were designed.

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17

Choi, Tsan-Ming, and Pui-Sze Chow. "Mean-variance analysis of Quick Response Program." International Journal of Production Economics 114, no. 2 (2008): 456–75. http://dx.doi.org/10.1016/j.ijpe.2007.06.009.

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18

Mousavi, A., Muna Hamdi, and M. Sarhadi. "Quick-response decision-making in the food processing industry." International Journal of Industrial and Systems Engineering 2, no. 1 (2007): 99. http://dx.doi.org/10.1504/ijise.2007.011439.

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19

Huang, Fei, Yi Luo, and Yi Yao. "Fuzzy PID Temperature Control in Manufacturing Engineering." Advanced Materials Research 323 (August 2011): 162–66. http://dx.doi.org/10.4028/www.scientific.net/amr.323.162.

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This paper introduces the basic concept of fuzzy PID in manufacturing engineering, and the system of temperature control is analyzed, and the temperature is designed with correction factor and the optimized parameters with the application of the fuzzy general MATLAB in simulink toolbox, the temperature is designed by comparing fuzzy PID output with raditional output, the system has the characteristic of quick response, short setting time, small overshoots, and high control precision.

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20

Shipilova, Ch V., and I. A. Surov. "PROSPECTS OF APPLICATION OF THE CONCEPTOF QUICK RESPONSE MANUFACTURING AT THE RUSSIAN INDUSTRIAL ENTERPRISES." MIR [World] (Modernization Innovation Research) 7, no. 3(27) (2016): 112–18. http://dx.doi.org/10.18184/2079-4665.2016.7.3.112.118.

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21

Warburton, Roger D. H., and Roy Stratton. "The optimal quantity of quick response manufacturing for an onshore and offshore sourcing model." International Journal of Logistics Research and Applications 8, no. 2 (2005): 125–41. http://dx.doi.org/10.1080/13675560500166798.

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22

Stronczek, Anna. "Managerial Effectiveness in the Implementation of Quick Response Manufacturing (QRM) to Increase Business Agility." EUROPEAN RESEARCH STUDIES JOURNAL XXIV, Issue 3B (2021): 47–60. http://dx.doi.org/10.35808/ersj/2451.

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23

Lee, Chen, Lin, Li, and Zhao. "Developing a Quick Response Product Configuration System under Industry 4.0 Based on Customer Requirement Modelling and Optimization Method." Applied Sciences 9, no. 23 (2019): 5004. http://dx.doi.org/10.3390/app9235004.

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In the Industry 4.0 environment, the new manufacturing transformation of mass customization for high-complexity and low-volume production is moving forward. Based on cyber-physical system (CPS) and Internet of things (IoT) technology, the flexible transformation of the manufacturing process to suit diverse customer manufacturing requirements is very possible, with the potential to provide digital “make-to-order” (MTO) services with a quick response time. To achieve this potential, a product configuration system, which translates the voice of customers to technical specifications, is needed. The purpose of this study is to propose a methodology for developing a quick-response product configuration system to enhance the communication between the customer and the manufacturer. The aim is to find an approach to receive requests from customers as inputs and generate a product configuration as outputs that maximizes customer satisfaction. In this approach, engineering characteristics (ECs) are defined, and selection pools are initially constructed. Then, quality function deployment (QFD) is modified and integrated with the Kano model to qualitatively and quantitatively analyze the relationship between customer requirements (CRs) and customer satisfaction (CS). Next, a mathematical programming model is applied to maximize the overall customer satisfaction level and recommend an optimal product configuration. Finally, sensitivity analysis is conducted to suggest revisions for customers and determine the final customized product specification. A case study and an OrderAssistant system are implemented to demonstrate the procedure and effectiveness of the proposed quick response product configuration system.

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24

Lu, Yesheng, Junning Cui, Jiubin Tan, and Xingyuan Bian. "Quick Response Circulating Water Cooling of ±3 mK Using Dynamic Thermal Filtering." Applied Sciences 10, no. 16 (2020): 5483. http://dx.doi.org/10.3390/app10165483.

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An enhanced circulating cooling water (CCW) machine is developed to simultaneously achieve high temperature stability and dynamic performance of CCW temperature control. Dynamic thermal filtering based on an auto-updatable thermal capacity medium is proposed to reduce the temperature fluctuation of the CCW. Agile thermal control is presented to realize a quick response and high resolution of temperature control, through thermal inertia minimization and bidirectional regulation of heating/cooling power. Experimental results indicate that a temperature stability of ±3 mK (peak to peak value) and a settling time of 128 s, corresponding to a 1 K step set value, are achieved. It can therefore be concluded that the developed machine can satisfy the challenging requirements of precision manufacturing.

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25

ALI, AHAD, HAMID SEIFODDINI, and JAY LEE. "EFFICIENT MATERIAL ALLOCATIONS IN HIGH-MIX LOW-VOLUME MANUFACTURING." Journal of Advanced Manufacturing Systems 09, no. 02 (2010): 101–16. http://dx.doi.org/10.1142/s021968671000182x.

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Today's globalization market drives industries toward increased expectations on lean production and quick response to the customers. These expectations have put industries under pressure to become more agile under highly dynamic market and uncertain manufacturing environment. An efficient material allocation becomes critical due to dynamics and uncertainty in the manufacturing systems. This research addresses the optimization needs for effective material allocations in high-mix low-volume manufacturing. Multi-constraint based genetic algorithm and intelligent simulation are used for efficient material allocation. The proposed effective material allocation is validated through real-world application in electronics manufacturing.

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26

Ze, X. B., H. Ding, H. Wang, and Xiao Qin Wang. "The Application of Numerical Control Based on Network Manufacturing in Plastic Window Production." Materials Science Forum 471-472 (December 2004): 278–81. http://dx.doi.org/10.4028/www.scientific.net/msf.471-472.278.

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In this paper, the character of profile material cutting is analyzed; the dynamic alliance structure of plastic window production and its quick response to the varied and individualized requirements are introduced; the formation of network manufacturing environment and the practice of NC technology in the environment are illustrated; and then the method of improving the material utilization and the ability of flexible manufacturing are put forward.

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27

Ko, E. "Quick Response Adoption Process in the Korean Apparel Industry." Journal of the Textile Institute 92, no. 1 (2001): 56–62. http://dx.doi.org/10.1080/00405000108659596.

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28

Wang, Wen Hao, Qiong Zhu, and Jie Zhang. "An Available-to-Promise System for Network-Manufacturing." Advanced Materials Research 268-270 (July 2011): 303–8. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.303.

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This Paper Presents Development of an Available-to-Promise (ATP) System for Network-Manufacturing in a Global Environment where Multi-Plants Are Manufacturing Products Collaboratively and Are Globally Networked. within the Multi-Plant Mode, the ATP Process Is Challenged to Give Not only Quick Response but Also Precise Order Promising by Considering the Coordination of Production Planning and Scheduling among Plants. in this Paper, an Order Decision and Production Planning Integrated ATP Model Was Developed and a Series of Performance Analysis Experiment Was Conducted to Reveal the Impact of some Key Factors such as Planning Horizon, Batch Interval Etc. on Overall Profit.

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29

Godinho Filho, Moacir, Antonio Gilberto Marchesini, Jan Riezebos, Nico Vandaele, and Gilberto Miller Devós Ganga. "The application of Quick Response Manufacturing practices in Brazil, Europe, and the USA: An exploratory study." International Journal of Production Economics 193 (November 2017): 437–48. http://dx.doi.org/10.1016/j.ijpe.2017.08.006.

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30

Harashima, Fumio, Seiji Kondo, Kouhei Ohnishi, Masatoshi Kajita, and Motohisa Susono. "Multimicroprocessor-Based Control System for Quick Response Induction Motor Drive." IEEE Transactions on Industry Applications IA-21, no. 3 (1985): 602–9. http://dx.doi.org/10.1109/tia.1985.349716.

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31

Jung, Seung Hwan. "Offshore versus Onshore Sourcing: Quick Response, Random Yield, and Competition." Production and Operations Management 29, no. 3 (2019): 750–66. http://dx.doi.org/10.1111/poms.13135.

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32

Vaagen, Hajnalka, Stein W. Wallace, and Michal Kaut. "The value of numerical models in quick response assortment planning." Production Planning & Control 22, no. 3 (2011): 221–36. http://dx.doi.org/10.1080/09537287.2010.498576.

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33

Oliveira, Leandro Gomes, Denise Cervilha De Freitas, and Moacir Godinho Filho. "A aplicação da abordagem quick response manufacturing (QRM) no processo de desenvolvimento de novos lápis de olhos." Revista Produção Online 18, no. 2 (2018): 504–31. http://dx.doi.org/10.14488/1676-1901.v18i2.2844.

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O Quick Response Manufacturing (QRM) é uma importante ferramenta para redução de lead time em todas as operações de uma empresa de manufatura. Embora existam trabalhos empíricos mostrando a aplicação do QRM no chão de fábrica, poucos trabalhos tratam de operações de escritório. Dentre estas operações, o desenvolvimento de produtos é uma área ainda muito pouco explorada. Este trabalho busca trazer contribuições para a literatura ao mostrar a possibilidade de implantação do QRM no processo de desenvolvimento de novos lápis de olhos em uma empresa fabricante de cosméticos. Após estudo de caso foi possível apresentar três propostas, viáveis economicamente, que se implantadas conjuntamente, poderá reduzir 55% do lead time desse processo. As propostas mostram também a importância de se repensar novas formas de se realizar o trabalho em escritório.

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34

Yu, Yingchen. "A Research Review on Job Shop Scheduling Problem." E3S Web of Conferences 253 (2021): 02024. http://dx.doi.org/10.1051/e3sconf/202125302024.

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In recent years, the manufacturing industry has developed rapidly with fierce competition. Manufacturing enterprises are faced with the challenge of on-time delivery, multiple product choices and quick response to order modification. Reasonable and efficient production scheduling determines whether the enterprise can continue to survive. Therefore, the study of job shop scheduling problem has practical significance. This paper summarizes the research development and current situation of job shop scheduling problem, classifies the existing research methods, and discusses the future research direction of job shop scheduling problem.

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35

Yang, Hao, De Mao Chen, Qi Liu, Xue Jun Xin, Xin Wei Bo, and Xiao Yu Wang. "The Study of Fine Tungsten Rhenium Thermocouple Wires in the Temperature Measurement of the Molten Steel." Advanced Materials Research 873 (December 2013): 77–81. http://dx.doi.org/10.4028/www.scientific.net/amr.873.77.

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In this paper, the producing methods of high precision Fine Tungsten-Rhenium Thermocouple wires and its applied research in the temperature measurement of the molten steel are introduced, The effects of Fine W-Re Thermocouple Wires on the fabrication technology, the temperature measurement precision and stability of the Quick Response Tungsten-Rhenium Thermocouple probe are discussed. The results show that the temperature measurement precision and stability of φ0.05mm Fine W-Re Thermocouple wires reach that of Type S thermocouple wires. The crack of W-Re Thermocouple wires can be avoided and the length of thermocouple wires can be cut more shorter in the process of manufacturing the Quick Response W-Re Thermocouple probe with φ0.05mm Fine W-Re Thermocouple Wires, so that the product yield and efficiency can be advanced.

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Jiang, Xiao Peng, Run Xiao Wang, Tao Li, Zhi Qing Luo, and Dong Bo Wang. "Reconfiguration Methods for Exception Handling in Reconfigurable Manufacturing Systems." Materials Science Forum 532-533 (December 2006): 628–31. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.628.

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Reconfigurable manufacturing systems (RMS) offer capabilities for quick adjustment of production capacity and functionality in response to sudden changes in market conditions. Both at the system and at the cell level exception events occur dynamically and unpredictably during the production process. These exceptions interrupt the production process by causing errors in the schedule plan. Error/ exception handling is the policy how to deal with errors caused by the occurrence of out-of-ordinary events. Author explores the new strategies to handling error events and proposes an intelligent control structure for real-time error handling, and illustrates the reconfiguration ability is the new crucial technological factor enabling new strategies to handle out-of-ordinary events of the production process.

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37

Gromova, Elizaveta. "Introduction of Flexible Manufacturing Systems as a Necessary Measure for the Russian Industrial Development." Materials Science Forum 957 (June 2019): 195–202. http://dx.doi.org/10.4028/www.scientific.net/msf.957.195.

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With the onset of the Fourth Industrial Revolution, the business environment becomes inherent in changes that occur with maximum speed, as well as characterized by the systemic nature of the consequences. One of them is the transformation of operational management models in industrial enterprises. The modern manufacturing system should focus not only on speed of response and flexibility, but also on the cost and quality of products. Integration of effective models: agile manufacturing, quick response manufacturing and lean production, in order to extract the best from them is proposed. The purpose of this study is to analyze this flexible manufacturing system and to relate it to the current state of the Russian industrial development. Theoretical and practical aspects of this model are presented. The examples of the flexible models introduction in the Russian industrial sector is allocated. The conclusion about the necessity of the flexible manufacturing systems implementation for the Russian industrial development is drawn.

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38

Chiba, Akira, and Tadashi Fukao. "A control method of super high speed reluctance motor for quick torque response." IEEJ Transactions on Industry Applications 107, no. 10 (1987): 1229–35. http://dx.doi.org/10.1541/ieejias.107.1229.

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39

Kincade, D. H., N. Cassill, and N. Williamson. "The Quick Response Management System: Structure and Components for the Apparel Industry." Journal of the Textile Institute 84, no. 2 (1993): 147–55. http://dx.doi.org/10.1080/00405009308631257.

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40

Lima, Andrey Domingues de, Stella Jacyszyn Bachega, Moacir Godinho Filho, Valcir de Jesus Sousa da Cruz, and Jacqueline Martins Rossi. "Proposta de aplicação da abordagem Quick Response Manufacturing (QRM) para a redução do lead time em operações de escritório." Production 23, no. 1 (2012): 1–19. http://dx.doi.org/10.1590/s0103-65132012005000028.

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A administração eficiente e eficaz do lead time pode criar vantagens competitivas para as empresas. Uma abordagem que possui a preocupação de reduzir o lead time é a Manufatura de Resposta Rápida (QRM - Quick Response Manufacturing). O objetivo do presente trabalho é propor a aplicação de princípios e técnicas do QRM para redução do lead time do processo de orçamentação de uma empresa fabricante de materiais de escrita situada no Brasil. Para tanto, utilizou-se a pesquisa teórico-conceitual e o estudo de caso como procedimentos de pesquisa. Verificou-se que a empresa estudada poderá obter vantagens significativas com a adoção desta abordagem. Os resultados esperados por meio da implantação da proposta mostram uma redução de 38,1% no lead time total do processo de orçamentação da empresa estudada. Esse artigo contribui para maior divulgação e compreensão da abordagem QRM e de seus benefícios.

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41

Saes, Elizangela Veloso, and Moacir Godinho Filho. "Utilização da abordagem Quick Response Manufacturing em uma empresa de materiais de escrita: proposta e análise de benefícios esperados." Gestão & Produção 18, no. 3 (2011): 525–40. http://dx.doi.org/10.1590/s0104-530x2011000300007.

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O Quick Response Manufacturing (QRM) é uma abordagem de gestão alternativa à Manufatura Enxuta, que objetiva alcançar a redução do lead time em ambientes com alta variedade de produtos. O objetivo da presente pesquisa é apresentar a proposta de implementação de alguns conceitos e ferramentas do QRM para redução do lead time em uma empresa de materiais de escrita. Basicamente a proposta seguiu os passos básicos de um projeto QRM, chegando à conclusão de que o longo lead time no setor estudado da empresa é ocasionado por quatro principais causas: (i) alocação de recursos em função dos tamanhos de pedidos; (ii) longo set up; (iii) quebra de máquinas; e (iv) tamanhos de lotes grandes. Seis cenários baseados em princípios e técnicas do QRM foram propostos e avaliados por meio de simulação, usando-se a tecnologia RMT (Rapid Modelling Technique). Os resultados esperados indicam que a empresa estudada pode obter uma redução de, aproximadamente, 68% no nível de WIP e de, aproximadamente, 74% no lead time médio, caso implemente a proposta sugerida. O presente trabalho contribui para aumentar a divulgação do paradigma QRM na academia e prática gerencial brasileira.

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42

Godinho Filho, Moacir, and Elizangela Veloso Saes. "From time-based competition (TBC) to quick response manufacturing (QRM): the evolution of research aimed at lead time reduction." International Journal of Advanced Manufacturing Technology 64, no. 5-8 (2012): 1177–91. http://dx.doi.org/10.1007/s00170-012-4064-9.

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43

Wang, Wanzhu, Qazi Salman Khalid, Muhammad Abas, et al. "Implementation of POLCA Integrated QRM Framework for Optimized Production Performance—A Case Study." Sustainability 13, no. 6 (2021): 3452. http://dx.doi.org/10.3390/su13063452.

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Quick response manufacturing (QRM) is a relatively new concept that enfolds all the preceding approaches, namely, just in time (JIT), flexible manufacturing, agile manufacturing, and lean production. QRM is compatible with existing materials requirement planning (MRP) systems and can be implemented efficiently. The ideas from QRM have been highly influential in custom-made engineer-to-order and make-to-order (ETO/MTO) high-mix and low-volume production environments. This study investigates the effectiveness of the POLCA (paired cell overlapping loops of cards) integrated QRM framework for reducing lead time. The POLCA integrated QRM approach was implemented in a precise product manufacturing industry. The industry was facing high penalties due to improper planning and uncontrolled lead times. The implementation of QRM with the POLCA framework indicated optimized production scheduling and significant improvement in lead time and work in process (WIP). After implementing the new manufacturing strategy, the performance parameters showed significant improvement in terms of reducing the percentage loss of profit.

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Chalissery, Dilip, Thorsten Pretsch, Sarah Staub, and Heiko Andrä. "Additive Manufacturing of Information Carriers Based on Shape Memory Polyester Urethane." Polymers 11, no. 6 (2019): 1005. http://dx.doi.org/10.3390/polym11061005.

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Shape memory polymers (SMPs) are stimuli-responsive materials, which are able to retain an imposed, temporary shape and recover the initial, permanent shape through an external stimulus like heat. In this work, a novel manufacturing method is introduced for thermoresponsive quick response (QR) code carriers, which originally were developed as anticounterfeiting technology. Motivated by the fact that earlier manufacturing processes were sometimes too time-consuming for production, filaments of a polyester urethane (PEU) with and without dye were extruded and processed into QR code carriers using fused filament fabrication (FFF). Once programmed, the distinct shape memory properties enabled a heating-initiated switching from non-decodable to machine-readable QR codes. The results demonstrate that FFF constitutes a promising additive manufacturing technology to create complex, filigree structures with adjustable horizontal and vertical print resolution and, thus, an excellent basis to realize further technically demanding application concepts for shape memory polymers.

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Mourtzis, Dimitris, John Angelopoulos, and Nikos Panopoulos. "Robust Engineering for the Design of Resilient Manufacturing Systems." Applied Sciences 11, no. 7 (2021): 3067. http://dx.doi.org/10.3390/app11073067.

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As the industrial requirements change rapidly due to the drastic evolution of technology, the necessity of quickly investigating potential system alternatives towards a more efficient manufacturing system design arises more intensely than ever. Production system simulation has proven to be a powerful tool for designing and evaluating a manufacturing system due to its low cost, quick analysis, low risk and meaningful insight that it may provide, improving the understanding of the influence of each component. In this research work, the design and evaluation of a real manufacturing system using Discrete Event Simulation (DES), based on real data obtained from the copper industry is presented. The current production system is modelled, and the real production data are analyzed and connected. The impact identification of the individual parameters on the response of the system is accomplished towards the selection of the proper configurations for near-optimum outcome. Further to that, different simulation scenarios based on the Design of Experiments (DOE) are studied towards the optimization of the production, under predefined product analogies.

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van Wijk, A. C. C., I. J. B. F. Adan, and G. J. van Houtum. "Optimal allocation policy for a multi-location inventory system with a quick response warehouse." Operations Research Letters 41, no. 3 (2013): 305–10. http://dx.doi.org/10.1016/j.orl.2013.03.002.

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Hakoda, Christopher, Eric S. Davis, Cristian Pantea, and Vamshi Krishna Chillara. "Multi-Level Information Storage Using Engineered Electromechanical Resonances of Piezoelectric Wafers: A Concept Piezoelectric Quick Response (PQR) Code." Sensors 20, no. 21 (2020): 6344. http://dx.doi.org/10.3390/s20216344.

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A piezoelectric-based method for information storage is presented. It involves engineering the polarization profiles of multiple piezoelectric wafers to enhance/suppress specific electromechanical resonances. These enhanced/suppressed resonances can be used to represent multiple frequency-dependent bits, thus enabling multi-level information storage. This multi-level information storage is demonstrated by achieving three information states for a ternary encoding. Using the three information states, we present an approach to encode and decode information from a 2-by-3 array of piezoelectric wafers that we refer to as a concept Piezoelectric Quick Response (PQR) code. The scaling relation between the number of wafers used and the cumulative number of information states that can be achieved with the proposed methodology is briefly discussed. Potential applications of this methodology include tamper-evident devices, embedded product tags in manufacturing/inventory tracking, and additional layers of security with existing information storage technologies.

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Wang, Wen Hao, Qiong Zhu, and Jie Zhang. "A Production Planning and Scheduling Architecture for Networked-Manufacturing System Based on Available-to-Promise." Advanced Materials Research 268-270 (July 2011): 292–96. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.292.

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In the practical application of push-pull based production planning and scheduling architecture, the manufacturing system was found lacking of collaborative mechanism, especially for a networked-manufacturing environment, which requires each individual manufacturer interact and cooperate with each other for a collaborative manufacturing. This paper presents a production planning and scheduling architecture for networked-manufacturing system based on available-to-promise, which can effectively merge forecast-driven production activity with order-driven production activity, thus ensures the steady and prompt supply of material, and also cooperation and mutual benefit of individual manufacturer. This architecture consists of 1) an ATP-based order management and decision-making system, 2) a push-pull based multi-plant master production schedule collaboration model, 3) a pre-reactive collaborative replenishment model, 4) a production scheduling model of unrelated parallel machine and 5) the corresponding production planning and scheduling methods for each model. By combining the concept of ATP, this architecture can not only provide resource planning for networked-manufacturing system, but also offer quick response and promise to customer requests.

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Hao, Hao, Xing Gen Wu, and Hong Yu Li. "Research on Mechanism of Collaborative Production Management Based on Manufacturing Outsourcing." Advanced Materials Research 630 (December 2012): 458–62. http://dx.doi.org/10.4028/www.scientific.net/amr.630.458.

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Due to lack of collaboration, outsourcing risks gradually turn up, as seriously impact the operations efficiency of companies across the supply chain as well as realization of collaboration effect for 1+1>2. In order to avoid and control the risks, the core company and outsourcing suppliers need to build up the mechanism of collaborated production management, whose features are high integration and concurrent in the whole process of manufacturing, collaboration of manufacturing nodes, systematic combination of production process and dynamic parallel. Based on this, together with investigation of companies and own practice, bring forward collaborated production mode. This mode consists of five sub-systems: closed loop structure with horizontal systematic layer and vertical collaborated layer, supplier detail activities management, production information sharing system and collaborated production performance evaluation. Furthermore, the article makes analysis of the internal operations and external relevance of these five sub-systems. Eventually, emphasizes the key value for quick response to customer demand through continuously enhancing collaboration capability for domestic companies.

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Noguchi, Toshihiko, Kazunori Yamada, Seiji Kondo, and Isao Takahashi. "Quick-Response Torque Control of Induction Motor with Robustness against Variations of Primary and Secondary Resistances." IEEJ Transactions on Industry Applications 115, no. 9 (1995): 1115–22. http://dx.doi.org/10.1541/ieejias.115.1115.

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