Multi-level perspective for the development and diffusion of fuel cell heavy-duty trucks

Küffner, Christoph

doi:10.1016/j.trd.2022.103460

Cited by 10 publications

(1 citation statement)

References 52 publications

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“…The truck owner must decide whether to invest the vehicles in a specific location based on the contracts TSE concept or to pool the trucks as in the traditional approach based on profitability and other factors (Islam et al, 2019). It is difficult for the owner or regulator of trucks based on the sharing economy concept to analyze such concerns holistically without a rigorous approach and preliminary environmental observation research (Küffner, 2022).…”

Section: Introductionmentioning

confidence: 99%

Trucks Pooling and Allocation in TSE Concept Using GIS Spatial and Novel FFOA

Siahaan¹,

Simatupang

Okdinawati

et al. 2022

ijjm

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Strategic system logistics business entails the importance of regulating truck pooling facilities and allocating the trucks for cost optimization goals. Regulators and investors must consider spatial constraints such as the supply-demand gap and service distance. Little attention has been paid to developing decision logistics models, particularly truck pooling and allocation decisions. In this study, the FFOA and GIS were used to determine the spatial component of truck pooling decisions, providing a scenario for origin pooling and delivery distance. The model evaluates truck allocation to each city, a distance vector, a spatial factor, and city demand are used for the cost optimization goal. The results show that the FFOA model successfully defines the optimal truck allocation for each truck pooling site with a cost. The managerial implication in developing a sharing economy concept for truck logistics is to use the study's framework model result to solve challenges in truck logistics.

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Section: Introductionmentioning

confidence: 99%