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PLA.NET

PLAnning supply NETworks

Research

Our presence in Research

We aim to expand knowledge in supply chain design, planning, and management to support the transition to more sustainable and digitally integrated networks, addressing current and future global societal challenges through research that develops solutions and strategies to improve supply chain operations and outcomes.

Research Directions

Supply Chain Design & Planning

  • Supply chain strategy, design and planning
  • Global supply chain management
  • Supply chain innovation
  • Supply network relationships
  • Integration between supply chain management, new product development and marketing
  • Industry specific supply chains

Sustainable and Circular Supply Chains

  • Sustainable and circular transition in supply chains
  • Business model innovation for sustainable supply chains
  • Supply chain servitisation
  • Manufacturing-as-a-service
  • Infrastructural system transition

Supply Chains and Emerging Technologies

  • Implication of emerging technologies on supply chains
  • Supply chain technology adoption
  • Data-driven and digital business models
  • Industry 4.0, RFId and extended enterprise
  • AI ethics

Performance & Quality Management

  • (Sustainable) performance measurement and management
  • Process modeling and improvement
  • Quality management
  • Japanese techniques & six sigma

Selected Publications

Recent Publications

Amico, C., Cigolini, R. (2023). Improving port supply chain through blockchain-based bills of lading: a quantitative approach and a case study. Maritime Economics and Logistics, published online. 
Amico, C. Cigolini, R., Brambilla, M. (2023). Transitioning the apparel supply chain to circular economy: a quantitative approach. Production Planning & Control.
Ciccullo, F., Pero, M., & Patrucco, A. S. (2023). Designing circular supply chains in start-up companies: evidence from Italian fashion and construction start-ups. The International Journal of Logistics Management, 34(3), 553-581.
Franceschetto, S., Amico, C., Brambilla, M., Cigolini, R. (2023). Improving Supply Chain in the Automotive Industry With the Right Bill of Material Configuration. IEEE Engineering Management Review, 51(1), 214–237.
Masi, A., Pero, M., & Abdelkafi, N. (2023). Supply chain antecedents of servitization: A study in ETO machinery companies. International Journal of Production Economics, 258, 108808.
Tedaldi, G., Miragliotta, G. (2023). Early adopters of Manufacturing-as-a-Service (MaaS): state-of-the-art and deployment models. Journal of Manufacturing Technology Management, 34(4), 580–600.
Xu, J. and Pero, M.E.P. (2023). A resource orchestration perspective of organizational big data analytics adoption: evidence from supply chain planning. International Journal of Physical Distribution & Logistics Management, 53 (11), 71-97.
Xu, J., Pero, M.E.P., Fabbri, M. (2023)Unfolding the link between big data analytics and supply chain planning. Technological Forecasting and Social Change, 196, 122805.
Ziegler, D., & Abdelkafi, N. (2023). Exploring the automotive transition: A technological and business model perspective. Journal of Cleaner Production, 421, 138562.
Abdelkafi, N., Pero, M., Masi, A., & Capurso, I. (2022). Revisiting the servitization-sustainability link: a case study in the professional printing supply chain. Cleaner Logistics and Supply Chain, 4, 100061.
Cannas, V. G., Masi, A., Pero, M., & Brunø, T. D. (2022). Implementing configurators to enable mass customization in the Engineer-to-Order industry: a multiple case study research. Production planning & control, 33(9-10), 974-994.
Cigolini, R., Franceschetto, S., Sianesi, A. (2022). Shop floor control in the VLSI circuit manufacturing: a simulation approach and a case study. International Journal of Production Research, 60(18), 5450–5467.
Gastaldi, L., Lessanibahri, S., Tedaldi, G., Miragliotta, G.(2022). Companies’ adoption of Smart Technologies to achieve structural ambidexterity: an analysis with SEM. Technological Forecasting and Social Change, 174, 121187.
Kowszyk Y., Abou-Ali A., Arroyo L. (2022). Circular Economy and Business Model Innovation: The Key Elements for a Sustainable Transition in Spain Circular Economy 2030. In: Prokop, V., Stejskal, J., Horbach, J., Gerstlberger, W. (eds) Business Models for the Circular Economy. Sustainability and Innovation. Springer, Cham. 
Tedaldi, G., Miragliotta, G. (2022). The role of Engineering-to-Order machinery manufacturers in future Cloud Manufacturing supply chains: a business case and a strategic perspective. Production Planning and Control, 33(9-10), 1011–1023.
Abdelkafi, N., Beckers, R., Bolla, R., Rodriguez-Ascaso, A., Wetterwald, M. (2021). In Understanding ICT Standardization: Principles and Practice, Sophia Antipolis: ETSI 2021, 2nd Edition.
Ciccullo, F., Cagliano, R., Bartezzaghi, G., & Perego, A. (2021). Implementing the circular economy paradigm in the agri-food supply chain: The role of food waste prevention technologies. Resources, Conservation and Recycling, 164, 105114.
Cigolini R., Franceschetto S. (2021). Case studies in Supply Chain Management. Mondadori Università.
Sianesi, A. (2021). Production Systems Management: Planning, scheduling, control, measurement and improvement. Mondadori Universita: Milano, Italy.
Xu, J., Pero, M.E.P., Ciccullo, F. and Sianesi, A. (2021). On relating big data analytics to supply chain planning: towards a research agenda”, International Journal of Physical Distribution & Logistics Management, 51(6), 656-682.
Abdelkafi, N., & Pero, M. (2018). Supply chain innovation-driven business models: Exploratory analysis and implications for management. Business Process Management Journal, 24(2), 589-608.
Ciccullo, F., Pero, M., Caridi, M., Gosling, J., & Purvis, L. (2018). Integrating the environmental and social sustainability pillars into the lean and agile supply chain management paradigms: A literature review and future research directions. Journal of cleaner production, 172, 2336-2350.
Shrouf, F., & Miragliotta, G. (2015). Energy management based on Internet of Things: practices and framework for adoption in production management. Journal of Cleaner Production, 100, 235-246.
Miragliotta, G. (2006). Layers and mechanisms: A new taxonomy for the bullwhip effect. International Journal of production economics, 104(2), 365-381.
Cigolini, R., Cozzi, M., Perona, M. (2004). A new framework for supply chain strategies: conceptual models and empirical test”, International Journal of Operations and Production Management, 24(1), 7-41.
Perona, M., & Miragliotta, G. (2004). Complexity management and supply chain performance assessment. A field study and a conceptual framework. International journal of production economics, 90(1), 103-115.
Caridi, M, & Sianesi, A. (2000). Multi-Agent Systems in Production Planning and Control: An Application to the Scheduling of Mixed-Model Assembly Lines. Internatioonal Journal of Production Economics, 68, 29-42.
Brandolese, A., Cigolini, R. (1999) “A new model for the strategic management of inventories subject to peaks in market demand”, International Journal of Production Research, 37(8), 1859-1880.
Arosio, M. & Sianesi, A. (1993). A heuristic algorithm for master production schedule generation with finite capacity and sequence dependent setup. International Journal of Production Research, 31 (3).

Historical Publications

Miragliotta, G. (2006). Layers and mechanisms: A new taxonomy for the bullwhip effect. International Journal of production economics, 104(2), 365-381.
Cigolini, R., Cozzi, M., Perona, M. (2004). A new framework for supply chain strategies: conceptual models and empirical test”, International Journal of Operations and Production Management, 24(1), 7-41.
Perona, M., & Miragliotta, G. (2004). Complexity management and supply chain performance assessment. A field study and a conceptual framework. International journal of production economics, 90(1), 103-115.
Caridi, M, & Sianesi, A. (2000). Multi-Agent Systems in Production Planning and Control: An Application to the Scheduling of Mixed-Model Assembly Lines. Internatioonal Journal of Production Economics, 68, 29-42.
Brandolese, A., Cigolini, R. (1999) “A new model for the strategic management of inventories subject to peaks in market demand”, International Journal of Production Research, 37(8), 1859-1880.
Arosio, M. & Sianesi, A. (1993). A heuristic algorithm for master production schedule generation with finite capacity and sequence dependent setup. International Journal of Production Research, 31 (3).