Assessment of the impact of Charter Party clauses and port’s characteristics on the port’s financial result

Mazioli, Franco Collodetti; Rosa, Rodrigo de Alvarenga; Sagrilo, Ricardo Gottardi Ventura; Vitorugo, Lirielly Ruela; Neves, Bruna dos Santos

doi:10.1016/j.cie.2018.12.027

Cited by 2 publications

(2 citation statements)

References 22 publications

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“…Another study conducted by Hendriks et al (2013) focused on the problem of simultaneous berth allocation and yard planning at a tactical level through a heuristic approach to reduce the total travel distance of the straddle carrier. Mazioli et al (2019) also conducted mathematical and metaheuristic models to plan port operations and considered despatch and demurrage costs. The developed model aimed to increase the despatch received and reduce the demurrage paid.…”

Section: Literature Reviewmentioning

confidence: 99%

New Approach for Evaluating Berth Allocation Procedures Using Discrete Event Simulation to Reduce Total Port Handling Costs

Siswanto,

Kusumawati,

Baihaqy

et al. 2023

OSCM: An Int. Journal

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The berth allocation problem (BAP) is a significant problem in operational or tactical planning in maritime logistics. The BAP total cost of port handling consists of demurrage/despatch and operational costs from loading and unloading facilities. The BAP becomes more complex because of the uncertainties of ship arrival, unloading time, and the interdependence between loading and unloading processes, which may cause an unpredictable completion time. This study aims to evaluate berth allocation procedures to reduce the total port handling costs. The discrete event simulation (DES) approach is used to determine the best BAP procedure and to obtain the optimal number of facilities in the BAP. Twenty scenarios are generated by combining various dock and ship selection rules. In operational planning, the chosen scenario can save the company 0.125 financial units annually regarding total port handling cost. Meanwhile, optimization tools are employed in tactical planning to reveal the ideal number of unloading facilities used. The best scenario of tactical planning can reduce total handling cost by 15% or 3.209 financial units by adding more resources in unloading facilities, such as cranes and trucks, and implementing certain mechanisms in selecting ships and docks. Lastly, sensitivity analysis is performed to test the robustness of the simulation model by modifying several influential parameters, such as (i) material type, (ii) ship arrival rate, (iii) operational cost rate, (iv) demurrage rate, and (v) target unloading rate. This type of analysis also aims to find under what condition the selected scenario will be changed from what was initially chosen. The selected scenario on tactical planning is chosen as a basis, and it is revealed that the selected scenario remains consistent although the ship arrival and operational cost rate is increased. However, the selected best scenario will change when the material type changes and the demurrage rate or target unloading rate increases.

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Section: Literature Reviewmentioning

confidence: 99%

New Approach for Evaluating Berth Allocation Procedures Using Discrete Event Simulation to Reduce Total Port Handling Costs

Siswanto,

Kusumawati,

Baihaqy

et al. 2023

OSCM: An Int. Journal

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“…This latter is based upon Charter Parties' clauses established with shipowners, to illustrate the case where ports belong to one single shipper. Mazioli et al (2019) assessed the important impact of the Charter Party clauses on the port's financial result.…”

Section: Figure 1: Possible Combinations Between the Lap The Bap Thmentioning

confidence: 99%

Integrated Laycan and Berth Allocation and time-invariant Quay Crane Assignment Problem in tidal ports with multiple quays

Bouzekri

Alpan

Giard

2021

European Journal of Operational Research

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Efficient management of port resources plays a crucial role in reducing vessel stay times and avoiding the payment of demurrage charges. In this paper, we focus on the integrated Laycan and Berth Allocation and Quay Crane Assignment Problem (LBACAP), which considers three problems in an integrated way: the Laycan Allocation Problem, the dynamic continuous Berth Allocation Problem and the time-invariant Quay Crane Assignment Problem. Since these problems have different decision levels, a change of decision time scale is made inside the planning horizon. To ensure that this integrated problem is as close as possible to reality, we consider non-working periods and tidal ports with multiple quays that have different water depths. The integer programming model proposed for the LBACAP aims to find an efficient schedule for berthing chartered vessels with an efficient quay crane assignment, and to propose laycans (laydays and canceling) to new vessels to charter. In a second part, we focus on the integrated Laycan and Berth Allocation and Specific Quay Crane Assignment Problem (LBACASP), which extends the LBACAP model to include the assignment of a set of specific quay cranes to each vessel, considering the productivity of quay cranes (homogeneous or heterogeneous) and their maximum outreach. Moreover, we use predicates in the formulation of both models, which ensure maximum flexibility in their implementation, thereby improving significantly their computational performance. Finally, the computational study on several classes of generated test instances shows that problems with up to 100 vessels can be solved to optimality.

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Assessment of the impact of Charter Party clauses and port’s characteristics on the port’s financial result

Cited by 2 publications

References 22 publications

New Approach for Evaluating Berth Allocation Procedures Using Discrete Event Simulation to Reduce Total Port Handling Costs

New Approach for Evaluating Berth Allocation Procedures Using Discrete Event Simulation to Reduce Total Port Handling Costs

Integrated Laycan and Berth Allocation and time-invariant Quay Crane Assignment Problem in tidal ports with multiple quays

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