Promoting sustainability of the integrated production-inventory-distribution system through the Physical Internet

Owing to its interconnections and open characteristics, Physical Internet (PI) has the potential to help companies meet the sustainability challenges. In this paper, to investigate the sustainability performance of the PI in an integrated production-inventory-distribution system, we propose a multi-...

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Veröffentlicht in:International journal of production research Jg. 58; H. 22; S. 6985 - 7004
Hauptverfasser: Peng, Xiao-shuai, Ji, Shou-feng, Ji, Ting-ting
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Taylor & Francis 16.11.2020
Taylor & Francis LLC
Schlagworte:
Accidents
Economic models
Environmental management
Greenhouse effect
Greenhouse gases
Integer programming
Internet
Inventory
Linear programming
Mixed integer
multi-objective optimisation
Multiple objective analysis
Physical Internet
production-inventory-distribution
Sustainability
Three dimensional models
vehicle routing
ISSN:0020-7543, 1366-588X
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Zusammenfassung:Owing to its interconnections and open characteristics, Physical Internet (PI) has the potential to help companies meet the sustainability challenges. In this paper, to investigate the sustainability performance of the PI in an integrated production-inventory-distribution system, we propose a multi-objective mixed integer linear programming model (MOMILP) that encompasses all three dimensions of sustainability. The economic and environmental objectives are measured through the total cost and greenhouse gas (GHG) emissions, respectively. The social objective is captured by the impact of accident risk. Then, we solve the model by using the augmented ϵ-constraint method and compare the sustainability performance of the PI-enabled model with that of models enabled by the traditional (TR) and horizontal collaboration (HC) networks. The results show that the PI can not only improve the economic and environmental performance by increasing vehicle utilisation, but also alleviate the impacts of accident risks by avoiding risky routes. More interestingly, good compromise solutions featuring the PI can further improve the sustainability performance while guaranteeing the performance of the TR at the ideal point-something unachievable for the HC and TR. Moreover, sensitivity analyses demonstrate that the PI can still guarantee significant sustainability performance advantages under different common retailer quantities and network structures.
Bibliographie:ObjectType-Article-1
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ISSN:0020-7543
1366-588X
DOI:10.1080/00207543.2019.1687953