2014
DOI: 10.1016/j.tre.2014.09.010
|View full text |Cite
|
Sign up to set email alerts
|

A stochastic programming formulation for strategic fleet renewal in shipping

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
17
0
1

Year Published

2017
2017
2023
2023

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 35 publications
(19 citation statements)
references
References 19 publications
1
17
0
1
Order By: Relevance
“…A set of models also explores variation in fleet size and mix, but both assume new vehicles will be purchased outright (Bakkehaug et al. ) or leased from a spot market for a set time period (Gundegjerde et al. ).…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…A set of models also explores variation in fleet size and mix, but both assume new vehicles will be purchased outright (Bakkehaug et al. ) or leased from a spot market for a set time period (Gundegjerde et al. ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…A literature review reveals several variants on the basic scenario, including fleet mix problems with demand variation (Topaloglu and Powell 2007), vehicle leasing and ownership costs (Shyshou et al 2010), and multiple starting and ending points (Godfrey and Powell 2002). A set of models also explores variation in fleet size and mix, but both assume new vehicles will be purchased outright (Bakkehaug et al 2014) or leased from a spot market for a set time period (Gundegjerde et al 2015). In CSL, on the other hand, drivers are employed by task instead of time (Kittur et al 2008), allowing firms to avoid fixed costs, empty moves, and idle-time expenses.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Bakkehaug et al [35] propose a new formulation of multistage stochastic programming for the strategic fleet renewal for shipping companies. The new formulation explicitly addresses uncertainty in parameters such as future demand, freight rates and vessel prices.…”
Section: Optimization Solution For Similar Problemsmentioning
confidence: 99%
“…The optimization techniques were the most used solution approaches in the maritime transport problems where the aspects pointed out in Table 3 were observed. Some techniques with great potential to be used in the proposed problem were identified, such as those that consider the uncertainties in the method itself: dynamic programming with scenario generation [15], multi-stage stochastic programming [35] and two-stage stochastic programming [38]; the technique that addresses uncertainties by combining different methods: mixed integer nonlinear programming, Monte Carlo simulation, and conditional risk analysis [11]; and those that consider more than one objective in the mathematical modeling of the problem: multi-objective optimization [33][34][36][37].…”
Section: Multi-approach Solutionmentioning
confidence: 99%
“…At the very end of the chapter, a table with the authors' names, their papers and criteria which they have identified as essential in term of vehicle procurement has been shown. (Bakkehaug et al, 2014) in their paper dealt with a strategic f leet renewal problem in shipping, they state that shipping companies in most cases have heterogeneous f leets (which is the same case with vehicle fleets of transport and logistics companies). Also, they lists the criteria that must be considered during vehicle procurement process: demand and supply of vessels on the secondhand market, capacity at the wharfs, demand for charter vessels, charter rates, spot cargo demand, spot cargo rates, operating costs, available capital for investment, cost of buying a secondhand vessel, cost of buying a new vessel, cost of one voyage, demand in units of spot cargo, income per unit carried on the spot market, the number of voyages that must be sailed, maximum number of voyages, capacity, selling price, scrap rate.…”
Section: Literature Reviewmentioning
confidence: 99%