Application of Dijkstra-Based N-Shortest-Paths Algorithm to Catering Logistics Transportation

Zhang, Hengquan; Sheng, Wenjing

doi:10.1061/41139(387)463

Cited by 1 publication

(3 citation statements)

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“…However, all those works remain either conceptual or mainly qualitative (quantification ones are only descriptive or based on specific surveys and measurements). We find anyway a few works [25][26][27] dealing with quantitative food flow assessment and performing an analysis in catering sector.…”

Section: Introductionmentioning

confidence: 99%

“…Zhang and Sheng [25] study the catering logistic transportation to reduce the transportation cost. They built a transportation path model to acquire the optimal path by using N shortest paths algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, [25] is mainly related to supply chain optimization and [27] proposes vehicle routing and location optimization in a computational way (so for theoretical and conceptual). Another characteristic of those works is that food demand is not quantified via a model or empirical procedure, but random-based generations are proposed to illustrate the optimization methods.…”

Section: Introductionmentioning

confidence: 99%

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Assessing the economic and environmental impacts of urban food systems for public school canteens: case study of Great Lyon region

Palacios-Argüello

González-Feliu

Gondran

et al. 2018

Eur. Transp. Res. Rev.

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Purpose: Urban logistics is a subject that interests both city planners and researchers. Although many works are found in non-food distribution, food-based logistics is less studied in an urban context, and sustainability issues of urban food systems remain little analysed, but it is a crucial element for local public authorities. This paper proposes a methodology for assessing scenarios of advanced urban food logistics; more precisely to answer the question of how school canteen distribution scenarios can be assessed in an economic and environmental viewpoint. Methods: To deal with those issues, the paper proposes to develop a scenario assessment framework combining a demand estimation model, a transport supply estimation method and a set of evaluation indicators (for both economic and environmental impacts). The demand estimation model generates first a number of meals per canteen then transforms it into a food quantity, based on carrier's information and other practice's feedbacks; the transport estimation is made with a combination of route construction algorithms that reproduce the logic of current Transportation Management System (TMS). The economic evaluation is made via direct operational costs estimation (both fixed and variable) and the environmental evaluation using COPERT V for direct emission's assessment. Results: Three scenarios are assessed: the current situation with the operational warehouse, the use of an alternative platform in another location and the combination of both. To address the application issues, the proposed framework is compared to the use of disconnected commercial tools on the three scenarios. We observe that the first two scenarios are close in terms of travelled distances, times and costs. The third scenario, which involves two platforms, results on higher distances and times, and consequently on higher costs and higher for some of the environmental emissions. That scenario does not allow, with the considered demand, economies of scale (i.e. using less vehicles or in a more consolidated way). When comparing the two assessment methods, the proposed framework results on slightly higher travelled distances and times, but the same number of vehicles. However, results can be considered equivalent since the gap between the two assessment methods is in general around 5% for most indicators.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%