Article
Computer Science, Artificial Intelligence
Xianyu Zhang, Xinguo Ming
Summary: This paper studies the development trend of product manufacturing models from mass manufacturing to mass customization and mass personalization, and analyzes the system model, characteristics, technologies, application blueprints, etc. of S-MMP. The research results provide theoretical guidance for enterprises in policy upgrading and business process reengineering.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Multidisciplinary Sciences
Paulina Rewers, Jacek Diakun
Summary: Efficient order execution is crucial for every company, striking a balance between order fluctuations and production flow stability is important in production planning. This study examined the best variant of the production planning and control system for standard parts production, analyzing three variants in terms of delays in order delivery. The results suggest that a combination of production leveling and production for stock is the most effective approach.
Article
Automation & Control Systems
Marco Castangia, Nicola Barletta, Christian Camarda, Stefano Quer, Enrico Macii, Edoardo Patti
Summary: In smart grids, consumers can participate in demand response programs to reduce household power consumption during peak hours. However, utility companies face challenges in implementing these programs due to their negative impact on user comfort. This article uses neural networks and clustering algorithms to analyze power signatures of appliances and identify different operational modes. By studying washing machines and dishwashers, the analysis reveals distinct working programs based on energy consumption and duration, providing insights for improving demand response programs and reducing overall energy usage by promoting lighter operation modes.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Andrea Teresa Espinoza Perez, Daniel Alejandro Rossit, Fernando Tohme, Oscar C. Vasquez
Summary: Mass customized and mass personalized production has been facilitated by the fourth industrial revolution, requiring information systems to be flexible and decentralized to support Smart Manufacturing. Blockchain technology is identified as a solution to efficiently manage mass customized production systems, facing challenges such as interoperability, implementation generation, and consensus protocol development. The conceptual design provided shows how blockchain can fuse customer specifications with production data to fulfill demand effectively.
INFORMATION FUSION
(2022)
Article
Business
Colin Schulz, Sebastian Kortmann, Frank T. T. Piller, Patrick Pollok
Summary: Manufacturing firms face challenges in translating investments in digitalization capabilities into sales growth, as the technological advantages often remain unexploited and digital product innovations frequently fail. This study investigates the mediating role of smart customization capability and the impact of channel integration on the relationship between digitalization capabilities and sales growth. The findings contribute to a better understanding of the resource and capability configurations needed for digital transformation and smart product success, as well as the concept of mass customization.
JOURNAL OF PRODUCT INNOVATION MANAGEMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Chung-Chi Hsieh, Mahendrawathi Er, Prasasti Karunia Farista Ananto
Summary: This study examines the competition between a brick-and-mortar retailer and an online retailer in an experience goods market, focusing on a national-brand product sold by both retailers. The research explores how the brick-and-mortar retailer counteracts showrooming behavior through the introduction of a store brand and customized product variety, taking into account consumer heterogeneities and taste sensitivities towards different product brands. The findings indicate that the brick-and-mortar retailer prefers to increase store-brand product variety under certain conditions, such as when the national brand has less brand advantage or product customization is less costly.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Engineering, Industrial
Hongyan Sheng, Taiwen Feng, Lucheng Chen, Dianhui Chu, Weijie Zhang
Summary: This study aims to develop and test a motives-mass customization (MC) capability-performance model, finding that instrumental, relational, and moral motives positively impact both product-oriented and service-oriented MC capabilities. The study also reveals that MC capabilities partially mediate the impacts of motives on operational, market, environmental, and economic performances.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2021)
Article
Automation & Control Systems
Elie Maalouf, Joanna Daaboul, Julien Le Duigou, Bassam Hussein
Summary: This paper introduces a distributed approach for smart production management in a cellular manufacturing system, with decision levels at the factory, shop floor, and cell levels. The approach integrates planning, scheduling, and material handling allocation while considering real-time data from the supply chain. Testing and optimization were conducted using a mathematical model and two metaheuristics.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Automation & Control Systems
Yue Wang, Wenlong Zhao, Wayne Xinwei Wan
Summary: The article proposes a needs-based configurator mechanism that takes customer needs expressed in natural language to generate satisfactory product variants. This approach helps customers find suitable product configurations with high recall rates and improves the overall user experience in smart manufacturing.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2021)
Article
Chemistry, Multidisciplinary
Xiaobo Bai, Omar Huerta, Ertu Unver, James Allen, Jane E. Clayton
Summary: This study developed a parametric design method for mass-customised head/face products by conducting a systematic review of different approaches. It also developed a parametric modelling algorithm of a 3D human face using selected scanned 3D head models. The study described the current challenges and opportunities of mass customized head/face products, and explored the possibilities for new parametric product design approaches to enable rapid manufacturing and mass customization.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Zdzislaw Kwidzinski, Joanna Bednarz, Marta Pedzik, Lukasz Sankiewicz, Piotr Szarowski, Bartlomiej Knitowski, Tomasz Rogozinski
Summary: By properly designing and equipping a machining line with high-precision machines and devices, significant reductions in machining allowances for wood-based panel components can be achieved, leading to material savings and improved competitiveness for manufacturers.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Qi Tang, Yiran Wang
Summary: This paper proposes a new process industry multi-product switching production lot sizing and scheduling model under the background of mass customization, aiming to minimize the maximum completion time and total switching cost. By integrating factors such as equipment switching costs and material conversion rates, the model brings the production system closer to reality and provides a new concept for actual workshop scheduling management.
Article
Computer Science, Interdisciplinary Applications
Xianyu Zhang, Xinguo Ming, Yuguang Bao, Xiaoqiang Liao, Rui Miao
Summary: This paper explores product-based innovation and presents a comprehensive framework and network model for establishing a complex networked product service system. The goal is to improve the efficiency of products and services and provide reference value for enterprise decision-making.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Florian Stamer, Gisela Lanza
Summary: The profitability of manufacturers in multi-variant production is challenged by increasing customer requirements and volatile supply chains. Dynamic pricing, where customers can choose delivery time and price based on preferences, is proposed as a potential solution to balance demand during peak times. This paper presents a dynamic pricing approach using an actor-critic reinforcement learning agent in combination with a production simulation model applied in the automation technology industry.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
Yue Wang, Xiang Li
Summary: This article introduces a needs-based configurator mechanism that leverages online product-review text from social media. It utilizes transfer learning to adjust the source model to the target customer needs-specifications mapping, resulting in improved configurator performance.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Industrial
Toshiya Kaihara, Nariaki Nishino, Kanji Ueda, Mitchell Tseng, Jozsef Vancza, Paul Schonsleben, Roberto Teti, Takeshi Takenaka
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2018)
Article
Computer Science, Artificial Intelligence
Kentaro Watanabe, Takashi Okuma, Takeshi Takenaka
ADVANCED ENGINEERING INFORMATICS
(2020)
Article
Computer Science, Information Systems
Satoshi Nishimura, Julio Vizcarra, Yuichi Oota, Ken Fukuda
Summary: This study proposed a collaborative methodology for developing ontologies and annotation with domain experts, and the application results showed the feasibility of the method, with the number of action concepts saturating and being reused among case studies.
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Shusaku Egami, Satoshi Nishimura, Ken Fukuda
Summary: The study proposes a framework for constructing and augmenting knowledge graphs based on simulation results of daily living activities, using virtual space to enable various analyses of daily living activities. It involves designing an ontology to represent virtual space activities and situational changes, constructing KGs for everyday living simulation, proposing a method for KG augmentation using Markov chain, presenting use cases with SPARQL queries and KG embedding method, and discussing the KG generation method, ontology, and potential for expansion.
2021 IEEE 33RD INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2021)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Julio Vizcarra, Satoshi Nishimura, Ken Fukuda
Summary: The study aims to make human behavior computable and applicable in various domains by proposing an ontology and semantic video indexing methodology. By conducting a case study in the elderly care domain, the system was validated to retrieve complex behavior patterns and display the location of such behavioral events in the video.
2021 IEEE 15TH INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2021)
(2021)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Kentaro Watanabe, Yusuke Kishita, Kaito Tsunetomo, Takeshi Takenaka
SERVICEOLOGY FOR SERVICES
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Julio Vizcarra, Ken Fukuda, Kouji Kozaki
SEMANTIC TECHNOLOGY, JIST 2019: PROCEEDINGS
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Antonio Oliveira Nzinga Rene, Takashi Tanizakia, Takeshi Shimmura, Nobutada Fujii, Takeshi Takenaka
12TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Takeshi Takenaka, Nariaki Nishino
12TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Nami Iino, Satoshi Nishimura, Takuichi Nishimura, Ken Fukuda, Hideaki Takeda
2019 13TH IEEE INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC)
(2019)
Proceedings Paper
Computer Science, Cybernetics
Masaaki Terano, Ayaka Kimura, Jun Ozawa, Yuri Nishikawa, Takeshi Takenaka, Fuko Oura
2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE)
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Satoshi Nishimura, Ken Fukuda, Takuichi Nishimura
NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE (JSAI-ISAI 2017)
(2018)
Proceedings Paper
Computer Science, Artificial Intelligence
Takuichi Nishimura, Zilu Liang, Satoshi Nishimura, Tomoka Nagao, Satoko Okubo, Yasuyuki Yoshida, Kazuya Imaizumi, Hisae Konosu, Hiroyasu Miwa, Kanako Nakajima, Ken Fukuda
NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE
(2017)
Proceedings Paper
Computer Science, Artificial Intelligence
Ken Fukuda, Satoshi Nishimura, Huizhi Liang, Takuichi Nishimura
NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE
(2017)
Proceedings Paper
Computer Science, Theory & Methods
Kristiina Jokinen, Satoshi Nishimura, Ken Fukuda, Takuichi Nishimura
2017 INTERNATIONAL CONFERENCE ON COMPANION TECHNOLOGY (ICCT)
(2017)
