Planning methods and decision support systems in vehicle routing problems for timber transportation: a review

Audy, Jean-François; Rönnqvist, Mikael; D’Amours, Sophie; Yahiaoui, Ala-Eddine

doi:10.1080/14942119.2022.2142367

Cited by 7 publications

(3 citation statements)

References 62 publications

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“…A recent review and description of the routing and planning system in forestry is found in Audy et al. (2022). Transportation is also integrated with strategic road construction planning.…”

Section: Transportation Planningmentioning

confidence: 99%

“…In both approaches, multiple time periods and inventory at the supply and demand points can be considered, and a network formulation of nodes represents supply and demand points, and arcs, the possible transportation roads. A recent review and description of the routing and planning system in forestry is found in Audy et al (2022). Transportation is also integrated with strategic road construction planning.…”

Section: Transportation Planningmentioning

confidence: 99%

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Fifty years of operational research in forestry

Rönnqvist

Martell

Weintraub

2023

Int Trans Operational Res

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This paper describes operational research (OR) contributions in forestry over the past 50 years, based on scientific pathways along which the authors have traveled. We draw on our personal experiences and recall how the use of OR in forestry has evolved from the early use of linear programming in the Canadian forest products industry in the 1950s and strategic forest management planning by the U.S. Forest Service in the 1960s. We describe the widespread use of OR in many aspects of forestry over a 50‐year timespan (1970–2020) and to the present day, where climate change and biodiversity challenges and increased data availability are important. The paper covers many areas of forestry, including forest management, natural disturbance processes, tactical and operational harvesting, transportation, and value chain management. Each section in the paper includes a historical description of OR‐based key applications as well as OR‐based model and method developments Additionally, we discuss our perceptions of OR in future use and its importance in forestry.

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“…A recent review and description of the routing and planning system in forestry is found in Audy et al. (2022). Transportation is also integrated with strategic road construction planning.…”

Section: Transportation Planningmentioning

confidence: 99%

Section: Transportation Planningmentioning

confidence: 99%

Fifty years of operational research in forestry

Rönnqvist

Martell

Weintraub

2023

Int Trans Operational Res

Self Cite

View full text Add to dashboard Cite

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“…Because of large forest areas and geographically dispersed mill locations, timber transportation accounts for 20–45% of forest operational costs (Audy et al., 2023). Transportation planning is done at the strategic (long‐term), tactical (medium‐term) and operational (short‐term) levels.…”

Section: Introductionmentioning

confidence: 99%

A new hybrid method for quick and accurate calculation of forest transportation distances

Rönnqvist,

Flisberg,

Frisk

et al. 2023

Int Trans Operational Res

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Transportation is a key forest logistics component and is a large proportion of the overall cost. Often, the transportation cost is determined by contractual agreements and based on the loaded distance from a supply to a demand point. Many alternative routes provide different distances (e.g., shortest route, fastest route, minimum fuel consumption), but these distances are approximate in the contractual agreement; hence, there is a mismatch between approximated costs and actual pay. It is necessary to match supply with demand when planning to use optimization models, as these models must cover many supply and demand points. From this point, many distances need to be established. These can be generated dynamically before optimization or generated a priori as static distance tables. The former can take a long time, whereas the latter needs to use aggregated zones that remain static over time because supply points, such as harvest areas, change continually. To enable fast optimization, distances between zones and demand points can be precomputed; however, they represent only estimated distances between the actual supply point and the demand points. We propose a hybrid method to improve quality and estimate accurate distances in a quick process, using a large case study from a company in Sweden with a standardized system that directly uses computed reference distances as contractually agreed. Results show that many distance estimation approaches give poor cost estimates (1–20%) and increase transportation costs (0.2–0.6%).

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