In EDS ansehen

Ensuring eco‐resilience in Physical Internet‐enabled production routing problem under ripple effect: a scenario‐based robust possibilistic flexible programming approach.

Gespeichert in:
Bibliographische Detailangaben
Titel: Ensuring eco‐resilience in Physical Internet‐enabled production routing problem under ripple effect: a scenario‐based robust possibilistic flexible programming approach.
Autoren: Zhao, Peng‐yun1 (AUTHOR) 1810435@stu.neu.edu.cn, Ji, Shou‐feng1 (AUTHOR) sfji@mail.neu.edu.cn, Ji, Yuan‐yuan1 (AUTHOR) yyji_neu@163.com
Quelle: International Transactions in Operational Research. Aug2025, p1. 39p. 5 Illustrations.
Schlagwörter: *SUPPLY chain management, *SUPPLY chains, *FLEXIBLE manufacturing systems, *MATHEMATICAL optimization, ECOLOGICAL resilience, SUSTAINABILITY, ROBUST programming, CLIMATE change mitigation
Abstract: Resilience and eco‐friendliness have emerged as two pivotal objectives for modern supply chains facing increasing disruptions and sustainability demands. The Physical Internet (PI), characterized by interconnectivity, resource sharing, and adaptability, represents a transformative approach to enhancing supply chain flexibility while mitigating environmental impacts. This study develops a two‐stage stochastic mixed‐integer optimization model to design a PI‐enabled resilient production‐routing system under the ripple effect. Furthermore, the model evaluates the influence of four distinct carbon policies, capturing the trade‐offs between resilience and eco‐friendliness. To address hybrid uncertainties arising from parameters, objectives, and constraints, this study proposes a scenario‐based robust possibilistic flexible programming approach. The applicability and effectiveness of the proposed model and solution approach are validated through a case study. The results demonstrate that the PI significantly enhances both resilience and environmental sustainability by optimizing vehicle utilization, a benefit that cannot be realized in traditional noncollaborative or collaborative supply chains. Moreover, the analysis reveals that as policymakers adopt more conservative approaches, both total costs and carbon emissions increase simultaneously. Furthermore, higher carbon prices and lower carbon emission caps do not always lead to lower carbon emissions. [ABSTRACT FROM AUTHOR]
Copyright of International Transactions in Operational Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Datenbank: Business Source Index
Beschreibung
Abstract:Resilience and eco‐friendliness have emerged as two pivotal objectives for modern supply chains facing increasing disruptions and sustainability demands. The Physical Internet (PI), characterized by interconnectivity, resource sharing, and adaptability, represents a transformative approach to enhancing supply chain flexibility while mitigating environmental impacts. This study develops a two‐stage stochastic mixed‐integer optimization model to design a PI‐enabled resilient production‐routing system under the ripple effect. Furthermore, the model evaluates the influence of four distinct carbon policies, capturing the trade‐offs between resilience and eco‐friendliness. To address hybrid uncertainties arising from parameters, objectives, and constraints, this study proposes a scenario‐based robust possibilistic flexible programming approach. The applicability and effectiveness of the proposed model and solution approach are validated through a case study. The results demonstrate that the PI significantly enhances both resilience and environmental sustainability by optimizing vehicle utilization, a benefit that cannot be realized in traditional noncollaborative or collaborative supply chains. Moreover, the analysis reveals that as policymakers adopt more conservative approaches, both total costs and carbon emissions increase simultaneously. Furthermore, higher carbon prices and lower carbon emission caps do not always lead to lower carbon emissions. [ABSTRACT FROM AUTHOR]
ISSN:09696016
DOI:10.1111/itor.70075