Replenishment policies for empty containers in an inland multi-depot system

Dang, Quang-Vinh; Nielsen, Izabela; Yun, Won Young

doi:10.1057/mel.2012.20

Cited by 22 publications

(7 citation statements)

References 13 publications

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“…Inventory-control ECR policies can lead to simple parameterized threshold-type control policies, which are easy to understand and easy to implement with minor requirements of real-time data and information communication. For example, Kanban-type and base-stock-type ECR policies are proposed for cyclic shipping service routes with uncertain demands [3,46]; the (s, S)-type ECR policies are optimized using meta-heuristics in shipping service routes [47][48][49]; a single-threshold ECR policy is optimized in a multi-port system using the infinitesimal perturbation analysis method [50]; the (s, S)-type policies for regional inland transport systems are optimized using genetic algorithms [51,52]. The main advantage of the inventory-control ECR policies is that they are rule-based policies, which are robust and flexible to manage empty containers on a real-time basis with quick response to dynamic and uncertain information.…”

Section: Container Logisticsmentioning

confidence: 99%

A Literature Review, Container Shipping Supply Chain: Planning Problems and Research Opportunities

Song

2021

Logistics

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This paper provides an overview of the container shipping supply chain (CSSC) by taking a logistics perspective, covering all major value-adding segments in CSSC including freight logistics, container logistics, vessel logistics, port/terminal logistics, and inland transport logistics. The main planning problems and research opportunities in each logistics segment are reviewed and discussed to promote further research. Moreover, the two most important challenges in CSSC, digitalization and decarbonization, are explained and discussed in detail. We raise awareness of the extreme fragmentation of CSSC that causes inefficient operations. A pathway to digitalize container shipping is proposed that requires the applications of digital technologies in various business processes across five logistics segments, and change in behaviors and relationships of stakeholders in the supply chain. We recognize that shipping decarbonization is likely to take diverse pathways with different fuel/energy systems for ships and ports. This gives rise to more research and application opportunities in the highly uncertain and complex CSSC environment.

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Section: Container Logisticsmentioning

confidence: 99%

A Literature Review, Container Shipping Supply Chain: Planning Problems and Research Opportunities

Song

2021

Logistics

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“…Challenge 4 is also critical as this affects the functionality for calculating or approximating the capability and availability of resources and configurations. These aspects are typically straightforward to describe in controlled situations such as those found in manufacturing environments [3] or container shipping industry [7]. Such a structure is, however, seldom presented for ad hoc system design and deployment.…”

Section: Fig 3 Example Dependencies Between Service Elements For Container Transportationmentioning

confidence: 99%

A Structural and Functional Design for Resource Deployments in Ad Hoc Multimodal Service Systems

Sung

Buderath

Nielsen

2021

Lecture Notes in Networks and Systems

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Many service systems such as transportation and logistics systems provide multimodal services with various resources, where how a service is provided to customers including the resources assigned to the service is often designed in advance of the service operations. However, due to increasing dynamics and uncertainty in certain situations, the needs for quickly designing and deploying ad hoc service systems in response to urgent and unexpected events occurred during the service provision have become significant. Motivated by this, we present a structural and functional design that supports Ad Hoc Multimodal Service System (AHMSS) deployment with a focus on a structure of the system, constraints governing the decisions involved in the system, and functions required for the system operation. The proposed design solution provides the basis for developing a decision support system for AHMSS deployment.

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“…Chang et al (2008) thought over benefiting 20-foot and 40-foot containers in place of each other. The optimisation studies in the literature extended to locating depot facilities (Dang et al, 2013;Olivo et al, 2013) and container storage areas (Lei and Church, 2011;Mittal et al, 2013) in addition to on board solutions of voyage planning (Christiansen et al, 2013;Braekers et al, 2013;Meng et al, 2015) and empty container allocation (Cheung and Chen, 1998;Song and Dong, 2011;Long et al, 2012). Furthermore, carrier based solutions such as flexible destinations during a voyage (Song and Dong, 2010) and street-turns (Jula et al, 2006;Legros et al, 2016) were discussed.…”

Section: Literature Reviewmentioning

confidence: 99%

Empty container movements arising from cargo seasonality: Turkish terminals

Basarici

Satır

2019

MABR

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Purpose -The purpose of this study is to reveal the magnitude of empty container movements (ECM) arising from cargo seasonality by means of long-term datasets of Turkish terminals. Trade imbalance is one of the well-known major reasons of ECM. Cargo seasonality apart from some other operational drivers and market effect, i.e. commercial decisions of the ship operators, is the major operational driver in Turkish terminals effecting ECM. Furthermore, this study highlights the significance of market effect, leading to take measures for more effective empty container operations in terms of decision makers leading the ship operators.Design/methodology/approach -Time series analysis of full container datasets was performed through X-13ARIMA-SEATS methodology, implementing seasonal adjustment.Findings -The results indicate that 17 of 112 time series in hand, based on a terminal/hinterland, container type and "in and out" foreign trade, exhibit cargo seasonality. Roughly, the amount of ECM originating from cargo seasonality in Turkish terminals represents 10 per cent of total ECM except trade imbalance in those terminals where seasonality is present. This reveals that ECM arising from market effect should not be underestimated.Research limitations/implications -Reefer container traffic could not be sorted from the datasets. Originality/value -This paper focuses on one of the major reasons of ECM, cargo seasonality. It brings a novel point of view and interpretations which were not suggested previously about ECM, motivating to overcome inefficiency in container operations.

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Replenishment policies for empty containers in an inland multi-depot system

Cited by 22 publications

References 13 publications

A Literature Review, Container Shipping Supply Chain: Planning Problems and Research Opportunities

A Literature Review, Container Shipping Supply Chain: Planning Problems and Research Opportunities

A Structural and Functional Design for Resource Deployments in Ad Hoc Multimodal Service Systems

Empty container movements arising from cargo seasonality: Turkish terminals

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