Joint-optimization of a truck appointment system to alleviate queuing problems in chemical plants

Wibowo, Budhi Sholeh; Fransoo, JC Jan

doi:10.1080/00207543.2020.1756505

Cited by 9 publications

(18 citation statements)

References 20 publications

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“…In most previous research, optimization is used to determine the appointment quota or time slot duration as decision variables ( 9 , 19 , 21 ). In almost all cases, the terminal operations and conditions are the center of attention for modeling.…”

Section: Literaturementioning

confidence: 99%

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Advisory-Based Time Slot Management System to Mitigate Waiting Time at Container Terminal Gates

Nadi

Nugteren

Snelder

et al. 2022

Transportation Research Record: Journal of the Transportation R

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This paper introduces an advisory-based time slot management system (TSMS) to control truck arrivals at seaport terminals with the aim to reduce congestion at terminal gates. A modeling framework is proposed, developed, and applied to assess the impact of a truck arrival shift for a case study in the Port of Rotterdam. This system is designed to apply control policies on truck inflow while taking the behavioral aspect of truck operating companies (TOCs) into account. Discrete choice modeling is used to infer the time-of-day preferences of TOCs for container pick-ups from the exchange of information between port and hinterland stakeholders. These preferences are used to shift truck arrivals to the off-peak period which consequently reduces the high waiting time of trucks at terminals gates. To evaluate the effectiveness of the designed TSMS, a simulation platform that resembles terminal operations has been developed using discrete-event simulation. For the allocation of trucks to a certain time of day, a choice-based stochastic assignment heuristic is designed to approximate the optimum configuration of the truck arrival shift policy experiment. The optimum truck arrival shift design shows that significant gain can be obtained even at a low shift rate.

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Section: Literaturementioning

confidence: 99%

“…Digital connectivity facilitates short-term as well as medium-term policies to control the demand (and supply) patterns. Various studies find that there is potential for digital-connectivity-based solutions to control traffic demand patterns (1,(9)(10)(11). This form of connectivity is often cheap and fast to implement.…”

mentioning

confidence: 99%

Advisory-Based Time Slot Management System to Mitigate Waiting Time at Container Terminal Gates

Nadi

Nugteren

Snelder

et al. 2022

Transportation Research Record: Journal of the Transportation R

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show abstract

“…Several researchers study truck flow control strategies at the landside that can be implemented using the Terminal Appointment System (Torkjazi et al, 2018;Wibowo and Fransoo, 2021). There are several studies on determining the maximum number of trucks allowed at a given hour.…”

Section: Truck Operationsmentioning

confidence: 99%

Modeling landside container terminal queues: Exact analysis and approximations

Roy

Ommeren

Koster

et al. 2022

Transportation Research Part B: Methodological

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“…In all those studies, regardless of the variation in the measurement indicator used, the optimization model was used to enable better operations. Some researchers considered multiple objectives (Wibowo and Fransoo, 2020) or a generalized cost function (Schulte et al, 2017) to capture the interests of various stakeholders. Most studies in truck scheduling systems assumed that arrival time is a deterministic variable that limits their applicability.…”

Section: Optimization Modelmentioning

confidence: 99%

“…This article focuses on a loading facility at a petrochemical loading facility whose logistics operations are similar to the one presented in Wibowo and Fransoo (2020). As shown in the characteristics diagram [in Wibowo and Fransoo (2020)], the carriers reserve a loading slot in advance using the TAS portal and arrive at the plant accordingly for loading. After reaching the plant, trucks wait at the parking area till the time of their assigned loading slot.…”

Section: Predictive-proactive Rescheduling Approachmentioning

confidence: 99%

A Predictive–Proactive Approach for Slot Management of a Loading Facility With Truck ETA Information

Prakoso

Maknoon

Pel

et al. 2022

Front. Future Transp.

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Due to the uncertain and dynamic environment around scheduling systems, timely revisions or reschedules of the master plans are essential for achieving optimal utilization. With the recent development of Industry 4.0 technologies, many researchers perceive the creation of cyber-physical systems as a solution for managing systems under uncertainty. This article focuses on a loading facility under uncertain truck arrivals due to road congestion and proposes utilizing real-time truck location information to improve performance. We do this by developing an integrated system consisting of a predictive model using machine learning (MC) classifiers and a mathematical model for real-time slot rescheduling. The ML classifier is used to predict the presence probabilities of all the incoming trucks at a particular slot based on the historical traffic data and the real-time truck location. Subsequently, a Mixed-Integer Quadratic Programming (MIQP) model is developed to solve a Probabilistic Slot Rescheduling Problem (P-SRP), which uses the estimated truck presence probabilities and minimizes the total expected cost of rescheduling. We implemented this by first testing multiple ML classifiers and selected the ANN classifier for prediction as it outperformed others. Our limited experiments showed that the proposed method reduced the total rescheduling cost by 42%. Furthermore, our sensitivity analysis with different congestion levels, complexity, and rescheduling strategy also showed the practicality of the proposed approach.

show abstract

Joint-optimization of a truck appointment system to alleviate queuing problems in chemical plants

Cited by 9 publications

References 20 publications

Advisory-Based Time Slot Management System to Mitigate Waiting Time at Container Terminal Gates

Advisory-Based Time Slot Management System to Mitigate Waiting Time at Container Terminal Gates

Modeling landside container terminal queues: Exact analysis and approximations

A Predictive–Proactive Approach for Slot Management of a Loading Facility With Truck ETA Information

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