Table 1 Summary of the recent literature... | Emerald Publishing

Table 1

Summary of the recent literature and insights

No.	Authors	Type of decision model	PI domain	Risk/resilience theme	Relevance to SC/logistics risk
1	Kulkarni et al. (2022)	MILP, Graph-theoretic heuristic	Parcel delivery, logistics hubs	Disruption risks, network resilience	High – Resilient network design under disruption
2	Peng et al. (2021)	Two-stage stochastic programming	Production-inventory-distribution systems	Disruptions, mitigation planning	High – Strategic resilience planning using PI
3	Tordecilla et al. (2025)	Multi-period MILP, Lexicographic optimisation	Hyperconnected supply chain networks	Cost-resilience trade-offs	High – Decision support for resilient PI design
4	Ji et al. (2023)	Hybrid optimisation	Supply–production–distribution	Flexibility, sustainability	Medium – Emphasis on sustainable design
5	Peng et al. (2024)	Multi-objective optimisation, hybrid heuristic	Production-routing with modular capacity	Resilience, sustainability	High – Rapid response to disruptions via modular PI
6	Yang et al. (2017)	Inventory disruption model	Interconnected logistics services	Hub and plant disruptions	Medium – Early empirical evidence of PI resilience
7	Fahim et al. (2021)	Conceptual framework	Maritime ports	Resilience, digitalisation	Medium – Infrastructure risk management
8	Gastón Cedillo-Campos et al. (2024)	Analytical cargo theft model (CTM)	Road transportation	Cargo theft risk	High – Focused on operational risk
9	Nguyen et al. (2022)	Bibliometric mapping	PI & Digital Twin integration	Research trends, digital risks	Medium – Overview of maturity and themes
10	Zhao et al. (2024)	Data traceability framework	Cyber-physical PI systems	Transparency, risk prediction	Medium – Enhances risk visibility across networks
11	Essghaier et al. (2023)	Fuzzy multi-objective MIP, ε-constraint	Truck scheduling in rail–road PI hubs	Multimodal uncertainty, resource allocation	High – Scheduling under operational uncertainty
12	Nikitas et al. (2020)	Conceptual and exploratory	Smart mobility, urban logistics	AI integration, long-term resilience	Medium – Strategic insight into PI-enabled urban systems

No.	Authors	Type of decision model	PI domain	Risk/resilience theme	Relevance to SC/logistics risk
1	Kulkarni et al. (2022)	MILP, Graph-theoretic heuristic	Parcel delivery, logistics hubs	Disruption risks, network resilience	High – Resilient network design under disruption
2	Peng et al. (2021)	Two-stage stochastic programming	Production-inventory-distribution systems	Disruptions, mitigation planning	High – Strategic resilience planning using PI
3	Tordecilla et al. (2025)	Multi-period MILP, Lexicographic optimisation	Hyperconnected supply chain networks	Cost-resilience trade-offs	High – Decision support for resilient PI design
4	Ji et al. (2023)	Hybrid optimisation	Supply–production–distribution	Flexibility, sustainability	Medium – Emphasis on sustainable design
5	Peng et al. (2024)	Multi-objective optimisation, hybrid heuristic	Production-routing with modular capacity	Resilience, sustainability	High – Rapid response to disruptions via modular PI
6	Yang et al. (2017)	Inventory disruption model	Interconnected logistics services	Hub and plant disruptions	Medium – Early empirical evidence of PI resilience
7	Fahim et al. (2021)	Conceptual framework	Maritime ports	Resilience, digitalisation	Medium – Infrastructure risk management
8	Gastón Cedillo-Campos et al. (2024)	Analytical cargo theft model (CTM)	Road transportation	Cargo theft risk	High – Focused on operational risk
9	Nguyen et al. (2022)	Bibliometric mapping	PI & Digital Twin integration	Research trends, digital risks	Medium – Overview of maturity and themes
10	Zhao et al. (2024)	Data traceability framework	Cyber-physical PI systems	Transparency, risk prediction	Medium – Enhances risk visibility across networks
11	Essghaier et al. (2023)	Fuzzy multi-objective MIP, ε-constraint	Truck scheduling in rail–road PI hubs	Multimodal uncertainty, resource allocation	High – Scheduling under operational uncertainty
12	Nikitas et al. (2020)	Conceptual and exploratory	Smart mobility, urban logistics	AI integration, long-term resilience	Medium – Strategic insight into PI-enabled urban systems

Source(s): Authors’ own work