Recoverable robustness in weekly berth and quay crane planning

Iris, Çağatay; Lam, Jasmine Siu Lee

doi:10.1016/j.trb.2019.02.013

Cited by 97 publications

(65 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Qu 3 -Reliability: successful implementation of services according to the defined and imposed requirements, in terms of time, place, structure, etc., and the ability to meet the distribution requirements in all likely scenarios (following the concept of the recovery robustness [77]) is of key importance for the service quality. This requirement is primarily important for the users.…”

Section: Stakeholders' Requirementsmentioning

confidence: 99%

Planning an Intermodal Terminal for the Sustainable Transport Networks

et al. 2019

View full text Add to dashboard Cite

Growing competition in the global market imposes the need for adequate planning of transportation processes and development of intermodal transport networks, whereby intermodal terminals play a key role. This paper proposes a methodology for prioritization of the intermodal terminal's development features, as the procedure in its planning process, leading to the design of the intermodal terminal in accordance with the needs of various stakeholders and the principles of the sustainable development. As the stakeholders often have conflicting interests and objectives, it is necessary to consider a broad set of requirements and developmental features that enable the fulfillment of the defined requirements. In order to solve the problem this paper proposes a new hybrid multi-criteria decision-making model that combines Delphi, Analytical Network Process (ANP) and Quality Function Deployment (QFD) methods in the fuzzy environment. The applicability of the proposed model is demonstrated by solving an example of planning an intermodal terminal in Belgrade.Sustainability 2019, 11, 4102 2 of 20 gained substantial attention in recent years, in academic research (e.g., [5,6]), as well as in practice. For example, the European Union set the goals to shift 30% of the road freight transport over 300 km to other, more environmental friendly means of transport (such as rail and waterborne), by the year 2030, and more than 50% by 2050 [7]. These goals can be achieved only by more intensive development of the intermodal transport.One of the major subsystems of the intermodal transport is intermodal terminal representing the place of storage and transshipment of intermodal transport units between the different modes of transport [8]. Intermodal terminals play a significant role in achieving socio-economic and environmental sustainability [9], and their development has an impact on improving the competitive advantage in the market [10]. Accordingly, requirements, goals and needs of different stakeholders, such as investors, owners, operators of the terminal, terminal users, authorities and residents, have to be in taken into consideration in the process of intermodal terminal planning. Their demands are often conflicting; therefore, a solution that should fit all actors involved is the goal in the planning process. Thus far, the research in the area of intermodal transport planning focused mainly on finding the optimal location for intermodal terminals (e.g., [11][12][13]) or how to improve operational efficiency of inland intermodal terminals [14][15][16]. However, the research related to solving the intermodal terminal planning problems taking into consideration variety of methods is rather scarce. Papers dealing with terminal planning are mainly focused on the intermodal transport network planning or the selection of terminal location. Therefore, the purpose of this paper is to define a methodology that comprehensively examines the different stakeholders' requirements based on which it defines and prioritizes development features ...

show abstract

Section: Stakeholders' Requirementsmentioning

confidence: 99%

Planning an Intermodal Terminal for the Sustainable Transport Networks

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Agra et al [25] investigated an integrated berth allocation, quay crane assignment, and scheduling problem in which a heterogeneous set of cranes was considered, and a rolling horizon metaheuristic was introduced to solve hard instances. Moreover, the uncertainty in vessel arrival times and quay crane handling rates was considered, and the recoverable robustness was introduced for the weekly berth and quay crane planning problem by Iris et al [26].…”

Section: Literature Reviewmentioning

confidence: 99%

Container Terminal Logistics Generalized Computing Architecture and Green Initiative Computational Pattern Performance Evaluation

Song

2019

Information

View full text Add to dashboard Cite

Container terminals are the typical representatives of complex supply chain logistics hubs with multiple compound attributes and multiple coupling constraints, and their operations are provided with the strong characteristics of dynamicity, nonlinearity, coupling, and complexity (DNCC). From the perspective of computational logistics, we propose the container terminal logistics generalized computing architecture (CTL-GCA) by the migration, integration, and fusion of the abstract hierarchy, design philosophy, execution mechanism, and automatic principles of computer organization, computing architecture, and operating system. The CTL-GCA is supposed to provide the problem-oriented exploration and exploitation elementary frameworks for the abstraction, automation, and analysis of green production at container terminals. The CTL-GCA is intended to construct, evaluate, and improve the solution to planning, scheduling, and decision at container terminals, which all are nondeterministic polynomial hard problems. Subsequently, the logistics generalized computational pattern recognition and performance evaluation of a practical container terminal service case study is launched by the qualitative and quantitative approach from the sustainable perspective of green production. The case study demonstrates the application, utilization, exploitation, and exploration of CTL-GCA preliminarily, and finds the unsustainable patterns of production at the container terminal. From the above, we can draw the following conclusions. For one thing, the CTL-GCA makes a definition of the abstract and automatic running architecture of logistics generalized computation for container terminals (LGC-CT), which provides an original framework for the design and implementation of control and decision mechanism and algorithm. For another, the CTL-GCA can help us to investigate the roots of DNCC thoroughly, and then the CTL-GCA makes for conducting the efficient and sustainable running pattern recognition of LGC-CT. It is supposed to provide a favorable guidance and supplement to define, design, and implement the agile, efficient, sustainable, and robust task scheduling and resource allocation for container terminals by computational logistics whether in the strategy level or the tactical one.

show abstract

“…The uncertain factors in production planning have attracted more and more attention from scholars and researchers, as well as many methods and theories have been proposed to deal with the uncertain factors in production planning, including stochastic programming [26], fuzzy programming [27], robust optimization [28,29], recoverable robustness [30], sensitivity analysis [31] etc. At present, many research results have been obtained by using stochastic programming to deal with the problem of demand uncertainty [32,33].…”

Section: Chance Constrained Uncertain Modelmentioning

confidence: 99%

“…Constraint (30) represents that the start time of tasks i at the event point n + 1 should be greater than or equal to the end time of tasks i executing on the same device at the event point n.…”

Section: Sequence Constraintsmentioning

confidence: 99%

Integration of Production Planning and Scheduling Based on RTN Representation under Uncertainties

et al. 2019

View full text Add to dashboard Cite

Production planning and scheduling are important bases for production decisions. Concerning the traditional modeling of production planning and scheduling based on Resource-Task Network (RTN) representation, uncertain factors such as utilities are rarely considered as constraints. For the production planning and scheduling problem based on RTN representation in an uncertain environment, this paper formulates the multi-period bi-level integrated model of planning and scheduling, and introduces the uncertainties of demand and utility in planning and scheduling layers respectively. Rolling horizon optimization strategy is utilized to solve the bi-level integrated model iteratively. The simulation results show that the proposed model and algorithm are feasible and effective, can calculate the consumption of utility in every period, decrease the effects of uncertain factors on optimization results, more accurately describe the uncertain factors, and reflect the actual production process.

show abstract

Recoverable robustness in weekly berth and quay crane planning

Cited by 97 publications

References 45 publications

Planning an Intermodal Terminal for the Sustainable Transport Networks

Planning an Intermodal Terminal for the Sustainable Transport Networks

Container Terminal Logistics Generalized Computing Architecture and Green Initiative Computational Pattern Performance Evaluation

Integration of Production Planning and Scheduling Based on RTN Representation under Uncertainties

Contact Info

Product

Resources

About