A Stochastic Model for Interterminal Container Transportation

Mishra, Nishant; Roy, Debjit; Ommeren, Jan-Kees van

doi:10.1287/trsc.2016.0726

Cited by 38 publications

(18 citation statements)

References 16 publications

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“…The queues' length is determined by the arrival rates, initial conditions, and service rate of terminal resources. Similar research can be found in Caballini et al [22] and Mishra et al [32].…”

Section: Methodologies and Eories Used In Port Itt Planningsupporting

confidence: 89%

“…Several simplifications have been applied in modeling the ITT operations like container handling time, transport time, and costs. For example, the productivity of shunting yards could be hard to accurately estimate in Caballini et al [21], Caballini et al [22]; and Mishra et al [32] only consider homogeneous vehicle capacity and no congestion was taken into account. These simplifications and assumptions keep the problem solvable but may result in losing accuracy.…”

Section: Methodologies and Eories Used In Port Itt Planningmentioning

confidence: 99%

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Critical Literature Review into Planning of Inter-Terminal Transport: In Port Areas and the Hinterland

Corman

Lodewijks

2019

Journal of Advanced Transportation

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Nowadays, the major ports around the world usually consist of multiple terminals and service centers which are often run by different operators. Meanwhile, inland terminals have been also developed to reduce port congestion and improve transport efficiency. The integrated planning of inter-terminal transport (ITT) between the seaport and inland terminals helps in providing frequent and profitable services, but also could lead to higher overall planning complexity. Moreover, the ITT system usually involves multiple stakeholders with different or even conflicting interests. Although an increasing number of studies have been conducted in recent years, few studies have summarized the research findings and indicated the directions for future research regarding ITT. This paper provides a systemic review of ITT planning: we examine 77 scientific journal papers to identify what kind of objectives should be achieved in ITT system planning, which actors should be involved, and what methodologies can be used to support the decision-making process. Based on the analysis of the existing research, several research gaps can be found. For example, the multi-modality ITT systems are rarely studied; cooperation frameworks are needed in the coordination of different actors and quantitative methodologies should be developed to reflect the different actors’ financial interests.

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Section: Methodologies and Eories Used In Port Itt Planningsupporting

confidence: 89%

Section: Methodologies and Eories Used In Port Itt Planningmentioning

confidence: 99%

Critical Literature Review into Planning of Inter-Terminal Transport: In Port Areas and the Hinterland

Corman

Lodewijks

2019

Journal of Advanced Transportation

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“…In most cases, the focus is again on flow through the process, with time a key metric, an exception being Cohen (2010) who uses service level as a measure in relation to a technical support team. Although focusing on flow, Bartholdi and Gue (2000), Song and Woo (2013) and Mishra, Roy and van Ommeren (2017) model facility layouts.…”

Section: Operations Re-engineeringmentioning

confidence: 99%

On the versatility of Little’s Law in operations management: a review and classification using vignettes

Potter

Towill

Gosling

2019

Production Planning & Control

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Despite Little's Law being considered as one of the 'laws' of operations management, evidence of its application in an empirical context is diverse and diffuse. Hence, this paper aims to identify, classify and consolidate published empirical applications of Little's Law in a systematic manner to better understand its versatility. This paper undertakes a systematic literature review of the databases of the five main publishers of operations management journals, plus snowball sampling for additional papers. A final sample of 128 empirical journal articles is identified and categorized. Tactical, medium-term decisions relating to capacity dynamics and operations re-engineering are the most popular categories. To give further insights into versatility, vignettes for each category are developed. The review and vignettes confirm Little's Law as a highly relevant paradigm to operations management decisions due to its empirical versatility across levels, sectors and time domains. The paper suggests four factors to underline the empirical versatility of Little's Law in operations management: applicability, utility, simplicity and visibility.

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“…As an essential part of annually expanding global trade, the container shipping industry has been compelled to extensively develop container terminals (CTs) by investing in largescale equipment and advanced hardware for tackling container flows (Mishra et al, 2017). This development has correspondingly increased the complexity of CT operations, which encompass interactions among resources, entities, and activities.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study on Swarm-based Algorithms to Solve the Stochastic Optimization Problem in Container Terminal Design

Zukhruf¹,

Frazila²,

Widhiarso³

2020

IJTech

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This study compared swarm-based algorithms in terms of their effectiveness in improving the design of facilities in container terminals (CTs). The design was conducted within the framework of stochastic discrete optimization and involved determining the number of equipment needed in CTs by considering variations in demand and the productivity of facilities-issues that are rarely elaborated in CT design. Variations were identified via Monte Carlo simulation characterized by a particular distribution. The conflicting issue due to increments in equipment investment that possibly cause the distribution delays was also modeled, specifically in relation to the increasing number of trucks used in terminals. Given that the optimization problem is typified by numerous combinations of actions, the swarm-based algorithms were deployed to develop a feasible solution. A new variant of glowworm swarm optimization (GSO) was then proposed and compared with particle swarm optimization (PSO) algorithms. The numerical results showed that the performance of the proposed GSO is superior to that of PSO algorithms.

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A Stochastic Model for Interterminal Container Transportation

Cited by 38 publications

References 16 publications

Critical Literature Review into Planning of Inter-Terminal Transport: In Port Areas and the Hinterland

Critical Literature Review into Planning of Inter-Terminal Transport: In Port Areas and the Hinterland

On the versatility of Little’s Law in operations management: a review and classification using vignettes

A Comparative Study on Swarm-based Algorithms to Solve the Stochastic Optimization Problem in Container Terminal Design

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