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Methodologies, Technologies, Processes and People Able to Foster Sustainable Practices and Operations Along the Product and Service Lifecycle Management

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 19771

Special Issue Editors


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Guest Editor
Department of Innovation Engineering, Università del Salento, Lecce, Italy
Interests: product lifecycle management; business process management; technology management
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Innovation Engineering, Università del Salento, Lecce, Italy
Interests: product lifecycle management; design technologies and methods; technology management; innovation management

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Guest Editor
Innovation Engineering, University of Salento, 73100 Lecce, Italy
Interests: agri-food digitalization; sustainable supply chain management; business model; consumer behavior
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milan, Italy
Interests: product lifecycle management; lean engineering; design technologies and methods; gamification
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The aim of this Special Issue is to collect studies focusing on the redefinition of product (service) lifecycle management for sustainable products and services considering the impact of methodologies, technologies, processes, systems, and people in fostering sustainable practices and operations within organizations and along the entire value chain. Embracing a large set of methodologies, technologies, processes, systems, and human resources, product lifecycle management could be able to support companies in sustainable products and services conceptualization, design, manufacturing, delivery, maintenance, and disposal in order to assure the integration of the three sustainability dimensions: economic, social, environmental.

One or more dimensions of sustainability could be evaluated along product (service) lifecycle but also the adoption of an integrated vision along the economic, social, and environmental dimensions are encouraged in order to usefully supplement existing literature. We are interested in review articles as well as qualitative and quantitative research, such as case studies, surveys, and accounts of ethnographic research from any field of application (e.g., manufacturing, construction, agrifood, cultural, fashion). We welcome submissions of original and high-quality research that fit the Special Issue theme and have not been previously published nor are currently under review by other journals. Papers selected for this Special Issue will be subject to a peer review procedure and careful editorial scrutiny.

 Potential topics include, but are not limited to, the following:

  • Methodologies for sustainable product lifecycle management
  • Technologies for sustainable product lifecycle management
  • Involvement of people, consumers, and stakeholders in sustainable product lifecycle
  • Design of sustainable product and services
  • Product information traceability along the lifecycle to reach sustainability
  • Product information management for sustainable supply chain
  • Environmental sustainability and waste management in product (service) lifecycle management
  • Life cycle assessment analysis for improving product (service) lifecycle management
  • Changing product (service) lifecycle management for a circular economy
  • Sustainable production phase with cyber–physical systems
  • Digital twin for sustainable design, production, and maintenance phases
  • Impacts on business models of a sustainable product (service) lifecycle management
  • Consumer and producer perspectives in sustainable product lifecycle management

References

Corallo, A., Latino, M. E., Menegoli, M., & Striani, F. (2020). The Awareness Assessment of the Italian Agri-Food  Industry Regarding Food Traceability Systems. Trends in Food Science and Technology.

Corallo, A., Latino, M. E., Menegoli, M., & Striani, F. (2020). What factors impact on technological traceability systems diffusion in the agrifood industry? An Italian survey. Journal of Rural Studies, 75, 30-47.

Corallo, A., Latino, M. E., Lazoi, M., Lettera, S., Marra, M., & Verardi, S. (2013). Defining Product Lifecycle Management: A Journey across Features, Definitions, and Concepts. ISRN Industrial Engineering, 2013, 1–10. doi: 10.1155/2013/170812

Corallo, A., Latino, M. E., & Menegoli, M. (2019). A Business Process Modelling Approach for Supporting Traceability in Food Industry. In2019 8th International Conference on Industrial Technology and Management (ICITM)(pp. 265-269). IEEE.

Corallo, A., Paiano, R., Guido, A. L., Pandurino, A., Latino, M. E., & Menegoli, M. (2018). Intelligent monitoring Internet of Things based system for agri-food value chain traceability and transparency: A framework proposed. In 2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS). IEEE.

Corallo, A., Latino, M. E., & Menegoli, M. (2020). Agriculture 4.0: How Use Traceability Data to Tell Food Product to the Consumers. 2020 9th International Conference on Industrial Technology and Management (ICITM), 197–201. Oxford, United Kingdom: IEEE. doi: 10.1109/ICITM48982.2020.9080349

Corallo, A., Latino, M. E., Menegoli, M., & Pontrandolfo, P. (2020). A systematic literature review to explore traceability and lifecycle relationship. International Journal of Production Research, 1–19. doi: 10.1080/00207543.2020.1771455

Corallo A., Lazoi M., Quarta L., Marra M., (2018), Innovating Performing Arts management through a Product Lifecycle Management approach, IFIP Advances in Information and Communication Technology Volume 540, 2018, Pages 420-431. 15th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2018, Torino (Italia), 1-4/07/2018; DOI: 10.1007/978-3-030-01614-2_39

Elkington, J. (1998). Cannibals with forks: The triple bottom line of 21st century business. Gabriola Island. British Columbia: New Society Publishers.

Galati, F., Bigliardi, B., Petroni, A., Pinna, C., Rossi, M., & Terzi, S. (2019). Sustainable Product Lifecycle: The Role of ICT.

Junkkari, M., & Sirkka, A. (2014). Data-Centric Workflow Approach to Lifecycle Data Management: Proceedings of 3rd International Conference on Data Management Technologies and Applications, 116–124. Vienna, Austria: SCITEPRESS - Science and and Technology Publications. doi: 10.5220/0005001001160124

Lee, S. G., Ma, Y.-S., Thimm, G. L., & Verstraeten, J. (2008). Product lifecycle management in aviation maintenance, repair and overhaul. Computers in Industry, 59(2–3), 296–303. doi: 10.1016/j.compind.2007.06.022

Mangialardi, G., Di Biccari, C., Pascarelli, C., Lazoi, M., & Corallo, A. (2017). BIM and PLM Associations in Current Literature. In J. Ríos, A. Bernard, A. Bouras, & S. Foufou (Eds.), Product Lifecycle Management and the Industry of the Future (Vol. 517, pp. 345–357). Cham: Springer International Publishing. doi: 10.1007/978-3-319-72905-3_31

Marra M., Di Biccari C., Lazoi M., Corallo A., (2018), A Gap Analysis Methodology for Product Lifecycle Management Assessment, IEEE Transactions on Engineering Management, Vol. 65, Issue 1; ISSN: 00189391, 15580040; DOI: 10.1109/TEM.2017.2762401.

Marucheck, A., Greis, N., Mena, C., & Cai, L. (2011). Product safety and security in the global supply chain: Issues, challenges and research opportunities. Journal of Operations Management, 29(7–8), 707–720. doi: 10.1016/j.jom.2011.06.007

Pinna, C., Galati, F., Rossi, M., Saidy, C., Harik, R., & Terzi, S. (2018). Effect of product lifecycle management on new product development performances: Evidence from the food industry. Computers in Industry, 100, 184-195.

Pezzotta G., Lazoi M., Sala R.., Pirola F., Margarito A., Quarta L., (2017), Defining a PSS Lifecycle Management System: Main Characteristics and Architectural Impacts, IFIP Advances in Information and Communication Technology, Volume 517, 2017, Pages 719-728. 14th IFIP WG 5.1 International Conference on Product Lifecycle Management and the Industry of the Future, PLM 2017, Seville (Spain), 10-11/07/2017; Print ISBN 978-3-319-72904-6, Online ISBN 978-3-319-72905-3; DOI: 10.1007/978-3-319-72905-3_6

Prajapati, V., & Dureja, H. (2012). Product lifecycle management in pharmaceuticals. Journal of Medical Marketing: Device, Diagnostic and Pharmaceutical Marketing, 12(3), 150–158. doi: 10.1177/1745790412445292

Rossi, M., & Terzi, S. (2017). CLIMB: maturity assessment model for design and engineering processes. International Journal of Product Lifecycle Management, 10(1), 20-43.

Sassanelli C., Pezzotta G., Pirola F., Sala R., Margarito A., Lazoi M., Corallo A., Rossi M., Terzi S., (2018), Using design rules to guide the PSS design in an Engineering Platform based on the Product Service Lifecycle Management (PSLM) paradigm, International Journal of Product Lifecycle Management, Special Issue on: Lifecycle Management of Product-Service Systems and Smart Products, Vol. 11, Issue 2; DOI: 10.1504/IJPLM.2018.092826          

Sassanelli C., Rossi, M., & Terzi, S. (2020). Evaluating the smart maturity of manufacturing companies along the product development process to set a PLM project roadmap. International Journal of Product Lifecycle Management, 12(3), 185-209.

Singh, S., Misra, S. C., & Chan, F. T. S. (2019). Establishment of critical success factors for implementation of product lifecycle management systems. International Journal of Production Research, 1–20. doi: 10.1080/00207543.2019.1605227

Stafford-Smith, M., Griggs, D., Gaffney, O., Ullah, F., Reyers, B., Kanie, N., … O’Connell, D. (2017). Integration: The key to implementing the Sustainable Development Goals. Sustainability Science, 12(6), 911–919. doi: 10.1007/s11625-016-0383-3

Terzi, S., Panetto, H., Morel, G., & Garetti, M. (2007). A holonic metamodel for product traceability in Product Lifecycle Management. International Journal of Product Lifecycle Management, 2(3), 253. doi: 10.1504/IJPLM.2007.016292

Tsalis, T. A., Malamateniou, K. E., Koulouriotis, D., & Nikolaou, I. E. (2020). New challenges for corporate sustainability reporting: United Nations’ 2030 Agenda for sustainable development and the sustainable development goals. Corporate Social Responsibility and Environmental Management, 27(4), 1617–1629. doi: 10.1002/csr.1910

Others reference could be:

Amann, K. (2002). Product lifecycle management: Empowering the future of business. CIMdata, Inc.

Fu, C., Ye, L., Liu, Y., Yu, R., Iung, B., Cheng, Y., & Zeng, Y. (2004). Predictive Maintenance in Intelligent-Control-Maintenance-Management System for Hydroelectric Generating Unit. IEEE Transactions on Energy Conversion, 19(1), 179–186. doi: 10.1109/TEC.2003.816600

Hong-Bae Jun, Kiritsis, D., & Xirouchakis, P. (2007). Product Life-Cycle Metadata Modeling and Its Application with RDF. IEEE Transactions on Knowledge and Data Engineering, 19(12), 1680–1693. doi: 10.1109/TKDE.2007.190661

Jun, H.-B., Cusin, M., Kiritsis, D., & Xirouchakis, P. (2007). A multi-objective evolutionary algorithm for EOL product recovery optimization: Turbocharger case study. International Journal of Production Research, 45(18–19), 4573–4594. doi: 10.1080/00207540701440071

Jun, Hong-Bae, Kiritsis, D., & Xirouchakis, P. (2007). Research issues on closed-loop PLM. Computers in Industry, 58(8–9), 855–868. doi: 10.1016/j.compind.2007.04.001

Pinna, C., Galati, F., Rossi, M., Saidy, C., Harik, R., & Terzi, S. (2018). Effect of product lifecycle management on new product development performances: Evidence from the food industry. Computers in Industry, 100, 184–195. doi: 10.1016/j.compind.2018.03.036

Saaksvuori, A., & Immonen, A. (2004). Product Lifecycle Management. Berlin, Heidelberg: Springer Berlin Heidelberg. doi: 10.1007/978-3-540-24799-9

Stark, J. (2011). Product Lifecycle Management. London: Springer London. doi: 10.1007/978-0-85729-546-0

Terzi, S., Panetto, H., Morel, G., & Garetti, M. (2007). A holonic metamodel for product traceability in Product Lifecycle Management. International Journal of Product Lifecycle Management, 2(3), 253. doi: 10.1504/IJPLM.2007.016292

Prof. Dr. Angelo Corallo
Dr. Mariangela Lazoi
Dr. Maria Elena Latino
Dr. Monica Rossi
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • product traceability
  • digital twin
  • life cycle assessment
  • waste management
  • circular economy
  • sustainable products and services
  • sustainable product lifecycle
  • sustainable supply chain
  • sustainable production and delivery
  • sustainable maintenance
  • sustainable economy

Published Papers (6 papers)

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Research

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16 pages, 973 KiB  
Article
Design Product-Service Systems by Using a Hybrid Approach: The Fashion Renting Business Model
by Virginia Fani, Fabiana Pirola, Bianca Bindi, Romeo Bandinelli and Giuditta Pezzotta
Sustainability 2022, 14(9), 5207; https://doi.org/10.3390/su14095207 - 26 Apr 2022
Cited by 13 | Viewed by 2473
Abstract
As is known, sustainability issues represent one of the main challenges companies have to face. Among all, the fashion industry is considered one of the most impactful, both in terms of resource utilization and pollution. Fashion renting is a recent business model for [...] Read more.
As is known, sustainability issues represent one of the main challenges companies have to face. Among all, the fashion industry is considered one of the most impactful, both in terms of resource utilization and pollution. Fashion renting is a recent business model for companies to reduce their environmental footprint, following a circular economy approach. The study aims to develop and discuss the proposed hybrid approach to effectively support fashion companies in designing new business models, taking into account both the customer and the company perspective. On the one hand, agent-based modeling (ABM) allow us to represent customers’ behaviour and interaction. On the other hand, discrete event simulation (DES) paradigm is used to model fashion renting processes. Because customers’ attitude to that service reflects its successful implementation, motivators and barriers have been investigated to be included in the model. The practical implication is defining a model to support fashion companies in designing rental business models before implementing them. From a theoretical point of view, it overcomes the literature gap about the definition of a unique model for fashion renting, including processes, customers and interactions between agents. Follow-up research will include the presentation of simulation results. Full article
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19 pages, 1377 KiB  
Article
Sustainable Team Design: A Challenge to Traditional Beliefs in Information-Intensive Service Industries
by Mark Geoghegan, Kathryn Cormican and Qiong Wu
Sustainability 2021, 13(24), 13552; https://doi.org/10.3390/su132413552 - 07 Dec 2021
Viewed by 1976
Abstract
Sustainable management activities focus on creating value for organizations. This is particularly relevant in service organizations as they are under increasing pressure to capture and process information efficiently. We advocate that the amount of information and the way teams process this information have [...] Read more.
Sustainable management activities focus on creating value for organizations. This is particularly relevant in service organizations as they are under increasing pressure to capture and process information efficiently. We advocate that the amount of information and the way teams process this information have a substantial impact on an organization’s ability to sustain a competitive advantage. This study addresses a gap in the literature by examining the impact of the level of information intensity on performance in the service industry. It also contributes to the debate about whether team structure facilitates performance in a service-based organization. A longitudinal design was employed to determine whether information-intensive processes influence performance, and if so, whether the impact differs between team designs. To do this, data were collected from 24,925 motor insurance claims over two distinct time periods. While our findings confirm that information intensity has a direct impact on the performance of claims processing, they also challenge traditional beliefs about self-managed work teams’ dominance. By adopting a more nuanced and context-specific perspective, we discovered that in certain situations the production line approach to team design was more productive than self-directed work teams in respect to critical operational tasks. This research sheds light on a relatively unexplored aspect of the service industry, has implications for sustainable management practices relating to team design, and provides a rich vein for future research studies. Full article
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Review

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15 pages, 843 KiB  
Review
Model-Based Enterprise Approach in the Product Lifecycle Management: State-of-the-Art and Future Research Directions
by Angelo Corallo, Vito Del Vecchio, Marianna Lezzi and Angela Luperto
Sustainability 2022, 14(3), 1370; https://doi.org/10.3390/su14031370 - 25 Jan 2022
Cited by 5 | Viewed by 3124
Abstract
Innovations in product development and process technologies represent a promising strategy to face the increasing competitiveness of modern markets in the global economy. Also, customer requirements become more and more specific and the complexity of products is still increasing. Industries need to adopt [...] Read more.
Innovations in product development and process technologies represent a promising strategy to face the increasing competitiveness of modern markets in the global economy. Also, customer requirements become more and more specific and the complexity of products is still increasing. Industries need to adopt effective solutions during the product development process and to support, for sustainable purposes, all the phases of the product lifecycle. Advanced model-based solutions emerge for digitally supporting these industrial needs. In this context, a Model-Based Enterprise (MBE) represents an organization that adopts modeling technologies, such as Model-Based Definition (MBD) solutions, to integrate and manage both technical and business processes related to product design, production, support, and retirement. Past research discusses the model-based approaches focusing on technical product development, mainly referring to the design and the manufacturing phases. A wide perspective from the other phases of lifecycle seems to lack in the literature. By carrying out a systematic literature review, this research aims to investigate the relationships between the MBE approaches and the product lifecycle phases and to identify potential benefits and challenges. It enhances the academic knowledge domain by also shedding light on potential future research directions. Full article
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19 pages, 1007 KiB  
Review
Innovating the Construction Life Cycle through BIM/GIS Integration: A Review
by Giuseppe Celeste, Mariangela Lazoi, Mattia Mangia and Giovanna Mangialardi
Sustainability 2022, 14(2), 766; https://doi.org/10.3390/su14020766 - 11 Jan 2022
Cited by 15 | Viewed by 4016
Abstract
The construction sector is in continuous evolution due to the digitalisation and integration into daily activities of the building information modelling approach and methods that impact on the overall life cycle. This study investigates the topic of BIM/GIS integration with the adoption of [...] Read more.
The construction sector is in continuous evolution due to the digitalisation and integration into daily activities of the building information modelling approach and methods that impact on the overall life cycle. This study investigates the topic of BIM/GIS integration with the adoption of ontologies and metamodels, providing a critical analysis of the existing literature. Ontologies and metamodels share several similarities and could be combined for potential solutions to address BIM/GIS integration for complex tasks, such as asset management, where heterogeneous sources of data are involved. The research adopts a systematic literature review (SLR), providing a formal approach to retrieve scientific papers from dedicated online databases. The results found are then analysed, in order to describe the state of the art and suggest future research paths, which is useful for both researchers and practitioners. From the SLR, it emerged that several studies address ontologies as a promising way to overcome the semantic barriers of the BIM/GIS integration. On the other hand, metamodels (and MDE and MDA approaches, in general) are rarely found in relation to the integration topic. Moreover, the joint application of ontologies and metamodels for BIM/GIS applications is an unexplored field. The novelty of this work is the proposal of the joint application of ontologies and metamodels to perform BIM/GIS integration, for the development of software and systems for asset management. Full article
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24 pages, 1567 KiB  
Review
Shop Floor Digital Twin in Smart Manufacturing: A Systematic Literature Review
by Angelo Corallo, Vito Del Vecchio, Marianna Lezzi and Paola Morciano
Sustainability 2021, 13(23), 12987; https://doi.org/10.3390/su132312987 - 24 Nov 2021
Cited by 24 | Viewed by 3938
Abstract
The digital twin is currently recognized as a key technology allowing the digital representation of a real-world system. In smart manufacturing, the digital twin enables the management and analysis of physical and digital processes, products, and people in order to foster the sustainability [...] Read more.
The digital twin is currently recognized as a key technology allowing the digital representation of a real-world system. In smart manufacturing, the digital twin enables the management and analysis of physical and digital processes, products, and people in order to foster the sustainability of their lifecycles. Although past research addressed this topic, fragmented studies, a lack of a holistic view, and a lack of in-depth knowledge about digital twin concepts and structures are still evident in the domain of the shop floor digital twin. Manufacturing companies need an integrated reference framework that fits the main components of both physical and digital space. On the basis of a systematic literature review, this research aims to investigate the characteristics of the digital twin for shop floor purposes in the context of smart manufacturing. The “hexadimensional shop floor digital twin” (HexaSFDT) is proposed as a comprehensive framework that integrates all the main components and describes their relationships. In this way, manufacturing organizations can rely on an inclusive framework for supporting their journey in understanding the shop floor digital twin from a methodological and technological viewpoint. Furthermore, the research strengthens the reference literature by collecting and integrating relevant contributions in a unique framework. Full article
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25 pages, 18430 KiB  
Review
Evaluating the Sustainability Dimensions in the Food Supply Chain: Literature Review and Research Routes
by Maria Elena Latino, Marta Menegoli and Martina De Giovanni
Sustainability 2021, 13(21), 11816; https://doi.org/10.3390/su132111816 - 26 Oct 2021
Cited by 7 | Viewed by 3185
Abstract
Nowadays, the world is facing numerous sustainability challenges and the modern food system is called to innovate processes or products in order to remain competitive within the market, as well as answering to strategic government guidelines for a more sustainable food supply chain. [...] Read more.
Nowadays, the world is facing numerous sustainability challenges and the modern food system is called to innovate processes or products in order to remain competitive within the market, as well as answering to strategic government guidelines for a more sustainable food supply chain. This study aims to investigate what the main research routes of a sustainable food supply chain are, explored by the international scientific panorama, with a view for providing companies with a framework of the sustainability paths that can be followed, and, to researchers, gaps and future research routes to explore. A systematic review method is adopted through bibliometric analysis and results were obtained with VOSViewer software support. Descriptive and thematic analyses allowed us to discover the bibliometric characteristics of the sample, the main specific topics and the related research routes already addressed in sustainable food supply chain, the main food supply chain models studied in association with sustainability and the effort employed by academia to investigate the three sustainability dimensions: environmental, economic and social. Concluding, the research field of sustainability in the food supply chain is focused on management issues able to generate impacts on process, systems, practices, production and quality. Full article
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