物理インターネット準拠の物流イノベーションのスケールアップメカニズムを特定するロードマップ整合型意思決定支援手法:IKIGAIアプローチ
A Roadmap-Aligned Decision-Support Methodology to Identify Scaling Mechanisms for Physical Internet-Compliant Logistics Innovations: The IKIGAI Approach (原題)
Mauro, Filippo, Cartolano, Fabio, Astegiano, Paola, Cossu, Paola, Touloumidis, Dimos, Dais, Sofoklis, Ayfantopoulou, Georgia, Pitelis, Alkis, Fergadiotou, Ioanna
🤖 gxceed AI 要約
日本語
本論文は、物流・輸送の脱炭素化を目指すEUプロジェクトIKIGAIの方法論を提示する。物理インターネット(PI)原則に基づき、物流イノベーションをパイロット段階から大規模展開へ導くための意思決定支援手法を開発。6つのスケーリング次元とAHPを用いたギャップ分析により、標準化・相互運用性・ガバナンス等の障壁を特定し、普遍的なスケーリングメカニズムを抽出する。
English
This paper presents a methodology from the EU-funded IKIGAI project to accelerate decarbonization of freight transport and logistics. It develops a decision-support framework based on Physical Internet principles, guiding logistics innovations from pilot to large-scale deployment. Using six scaling dimensions and AHP-based gap analysis, it identifies barriers such as standardization, interoperability, and governance, and extracts universal scaling mechanisms.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では物流の2024年問題やカーボンニュートラル宣言に伴い、物流効率化と脱炭素化の両立が課題。本手法は標準化・相互運用性を重視しており、日本企業のサプライチェーン排出量削減(Scope3)や物流ネットワーク再編に示唆を与える。
In the global GX context
Globally, the paper aligns with EU climate strategies and the Physical Internet roadmap, offering a structured approach to scale logistics innovations. It contributes to the discourse on logistics decarbonization and standardization, relevant for international supply chain sustainability and policy frameworks.
👥 読者別の含意
🔬研究者:Provides a novel methodology for scaling logistics innovations, useful for researchers in sustainable logistics and transition management.
🏢実務担当者:Offers a structured framework for logistics companies to assess and scale decarbonization initiatives, enhancing interoperability and compliance.
🏛政策担当者:Highlights the need for standardization and governance in logistics decarbonization, informing policy design for zero-emission logistics.
📄 Abstract(原文)
The decarbonisation of freight transport and logistics is a central objective of current global and European climate strategies. However, logistics systems remain highly fragmented, characterised by low interoperability, heterogeneous governance structures, and limited process standardisation. These structural constraints hinder the large-scale adoption of innovative logistics solutions and collaborative services. The Physical Internet (PI) paradigm proposes a systemic transformation towards interoperable, standardised, and hyperconnected logistics networks, but its operational implementation requires structured methodologies capable of guiding innovations from pilot experimentation to scalable and PI-compliant deployment. The EU-funded IKIGAI project (GA 101202912) aims to accelerate the transition towards zero-emission, collaborative, and scalable logistics systems by operationalising Physical Internet principles within real supply chain ecosystems. Building on the Zero Emissions Logistics and PI roadmaps, the project advances five complementary Logistics Innovations (LIs), addressing technological, governance, regulatory, and market-related barriers to large-scale adoption. The PI Norm as a reference standard for scalable logistics processes Within IKIGAI, the PI Norm is conceived as a process standardisation backbone designed to operationalise PI principles in logistics services. It consists of a set of standardised operational processes aimed at enhancing interoperability, collaboration, and logistics efficiency across heterogeneous actors. The PI Norm integrates three interdependent components: standardised logistics processes, interoperable digital and documentation flows, and governance and compliance mechanisms ensuring auditability and replicability. By translating commonly accepted operational rules into formalised and shareable processes, the PI Norm reduces fragmentation and enables coordinated logistics services across networks of independent stakeholders. Consequently, PI Norm compliance becomes a key condition for the systemic scale-up of LIs and for their alignment with the evolutionary trajectories defined by the PI (ALICE-ETP, 2020) and ZEL (ETP, 2019) roadmaps. Pilot Logistics Innovations as methodological benchmarks The proposed methodology is validated through five Logistics Innovations representing diverse service typologies and operational contexts: • LI1: Online and offline trustee matchmaking and volume pooling for electrification and increased intermodality; • LI2: eFTI-compliant Collaborative Service Platform for SMEs; • LI3: Smart and synchromodal hubs for hyperconnected urban logistics; • LI4: Intelligent, standard end-to-end chain of custody for carbon emission calculation; • LI5: Open volume pooled governance for reusable standard modular boxes. They serve as methodological benchmarks to test the robustness, transferability, and replicability of the proposed workflow. By applying the same analytical structure across heterogeneous innovations, the project systematically identifies recurring barriers to scale-up and extracts a set of universal scaling mechanisms. These mechanisms are subsequently formalised into a reusable library intended to support future LI in accelerating their transition towards PI Norm compliance and roadmap alignment. Conceptualisation of scaling mechanisms along Roadmap pathways Within IKIGAI, scaling mechanisms are defined as actionable enabling factors supporting the structured evolution of LI from their current maturity level to a desired PI-compliant state. This perspective explicitly links scale-up to the roadmap logic of progressive standardisation, interoperability, and collaborative governance. The methodology therefore shifts the analytical focus from purely technological readiness to a multidimensional understanding of scalability, encompassing governance structures, interoperability capabilities, regulatory alignment, market adoption, and sustainability performance. This approach reflects the socio-technical nature of logistics systems and the need for coordinated transformation across multiple stakeholders and operational layers. Methodological Framework Step 1: Definition of scaling dimensions and target scenario (TO-BE) The first step of the methodology defines scale-up through a multidimensional framework composed of six scaling dimensions: operational scope, technological maturity, regulatory/policy/governance aspects, economic and market adoption, societal and organisational alignment, and sustainability and circularity. Each dimension is structured into discrete maturity levels, enabling a consistent and comparable representation of innovation readiness. LIs define their desired TO-BE scenario as a coherent configuration of maturity levels aligned with PI Norm requirements and roadmap trajectories. To support this process, five archetypal prospect scenarios (Baseline, Accelerated, Disruptive, Collaborative, and Transformative) are used to position each innovation according to its strategic ambition and ecosystem dynamics. A classification logic based on maturity thresholds and conditional checks ensures methodological consistency while accommodating the heterogeneity of innovation contexts. Step 2: AS-IS Assessment through customised checklists Once the target scenario is defined, the methodology proceeds with a structured AS-IS assessment based on customised checklists tailored to each LI. This evaluation captures the current level of process standardisation, interoperability, governance formalisation, regulatory readiness, market uptake, and sustainability performance and allows the systematic mapping of existing practices against the maturity requirements of the selected TO-BE scenario, highlighting structural misalignments across scaling dimensions. This diagnostic is relevant in collaborative logistics environments, where innovations often exhibit high technological maturity but limited governance or interoperability readiness. Step 3: Gap computation and prioritisation The third step consists of quantifying the gap between AS-IS and TO-BE states. To avoid uniform treatment of heterogeneous constraints, the methodology applies a multi-criteria prioritisation based on the Analytic Hierarchy Process. This approach enables the weighting of gaps according to their relevance for scale-up within specific operational contexts. The outcome is a ranked set of critical gaps that identifies the main bottlenecks hindering the transition towards PI Norm compliance, such as insufficient interoperability, fragmented governance structures, regulatory barriers, or limited stakeholder adoption. Step 4: Identification of Scaling Mechanisms and generalisation. In the final step, prioritised gaps are translated into targeted scaling mechanisms selected from a structured and evolving library. These mechanisms include, among others, replication and standardisation packages (e.g. standard operating procedures and KPI frameworks), interoperability enablers (data-sharing protocols and semantic alignment tools), governance mechanisms (trustee roles, decision-right matrices, and reusable contractual frameworks), regulatory alignment actions, and adoption support measures (onboarding and training schemes). The application of the workflow across the five LIs enables comparative analysis and cross-case learning. This benchmarking process allows the identification of recurring patterns in scale-up barriers and the extraction of universal scaling mechanisms that are not limited to a single pilot context. As a result, the methodology evolves from a pilot-specific assessment tool into a transferable decision-support framework capable of guiding diverse LIs in their pathway towards scalability, standardisation, and compliance with the PI Norm. References ALICE-ETP, 2020. Roadmap to the Physical Internet, s.l.: s.n. ETP, A., 2019. Roadmap towards zero emissions logistics 2050, s.l.: s.n.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.35090/gatech/13268first seen 2026-09-01 04:48:39 · last seen 2026-09-21 04:26:15
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