scholarly journals Integrating truck arrival management into tactical operation planning at container terminals

2013 ◽  
Vol 20 (Special-Issue) ◽  
pp. 32-46 ◽  
Author(s):  
Zhong-Zhen Yang ◽  
Gang Chen ◽  
Dong-Ping Song
Keyword(s):  
Integrated Model ◽  
Container Terminals ◽  
Computational Time ◽  
Planning Model ◽  
Sequential Model ◽  
Terminal Performance ◽  
Planning Models ◽  
Gate Congestion ◽  
Terminal Operations ◽  
Truck Arrival

Abstract Truck arrival management (TAM) has been recognized as an effective solution to alleviate the gate congestion at container terminals. To further utilize TAM in improving the overall terminal performance, this study integrates TAM with the other terminal operations at a tactical level. An integrated planning model and a sequential planning model are presented to coordinate the major terminal planning activities, including quayside berth allocation, yard storage space allocation and TAM. A heuristic-based genetic algorithm is developed to solve the models. A range of numerical examinations are performed to compare two planning models. The result shows that: the integrated model can improve the terminal performance significantly from the sequential model alone, particularly when the gate capacity and the yard capacity are relatively low; whereas the sequential model is more efficient than the integrated model in terms of computational time.

'Planning Economic Integration7, by L.B.M. Mennes, Rotterdam University Press, 1973.

1973 ◽  
Vol 12 (4) ◽  
pp. 438-439
Author(s):  
G. M. Radhul
Keyword(s):  
Economic Integration ◽  
Point Of View ◽  
Planning Model ◽  
Integration Policy ◽  
Medium Term ◽  
Future Production ◽  
Planning Models ◽  
Partici Pant ◽  
The Impact ◽  
Integration Area

The book under review deals with economic integration among deve¬loping countries from the point of view of planning. The author believes that it is useful to approach economic integration from a planning point of view and to develop planning models for it, because the theory of economic integration relevant for developing countries should be directed towards the impact of integration on future investments and future production. The type of models used in the book are the multisector linear programming models and the method of analysis is essentially a comparison of two situations; one with economic integration and the other without. For each prospective partici¬pant a medium term planning model is drawn up taking account of its economic situation in some base year. The results of these single country planning models are analysed and compared to those of a similar planning model for the integration area as a whole. The consequences of the integration policy are then evaluated.

Forest management strategies for dealing with fire-related uncertainty when managing two forest seral stages

2011 ◽  
Vol 41 (2) ◽  
pp. 309-320 ◽  
Author(s):  
David W. Savage ◽  
David L. Martell ◽  
B. Mike Wotton
Keyword(s):  
Forest Management ◽  
Simulation Model ◽  
Sustainable Forest Management ◽  
Management Strategies ◽  
Fire Regimes ◽  
Analysis Tool ◽  
Planning Model ◽  
Minimum Area ◽  
Forest Management Planning ◽  
Planning Models

Ecological values are an important aspect of sustainable forest management, but little attention has been paid to maintaining these values when using traditional linear programming (LP) forest management planning models in uncertain planning environments. We embedded an LP planning model that specifies when and how much to harvest in a simulation model of a “managed” flammable forest landscape. The simulation model was used to evaluate two strategies for dealing with fire-related uncertainty when managing mature and old forest areas. The two seral stage areas were constrained in the LP planning model to a minimum of 10% of the total forest area and the strategies were evaluated under four representative fire regimes. We also developed a risk analysis tool that can be used by forest managers that wish to incorporate fire-related uncertainty in their decision-making. We found that use of the LP model would reduce the areas of the mature and old forest to their lower bound and fire would further reduce the seral areas below those levels, particularly when the mean annual burn fraction exceeds 0.45% per annum. Increasing the minimum area required (i.e., the right-hand side of the constraint) would increase the likelihood of satisfying the minimum area requirements.

Hierarchical production planning in forestry using price-directed decomposition

2007 ◽  
Vol 37 (10) ◽  
pp. 2010-2021 ◽  
Author(s):  
Samuel D. Pittman ◽  
B. Bruce Bare ◽  
David G. Briggs
Keyword(s):  
Production Planning ◽  
Net Present Value ◽  
Forest Planning ◽  
Planning Model ◽  
Data Set ◽  
Decomposition Approach ◽  
Hierarchical Production Planning ◽  
Production Models ◽  
Planning Models ◽  
Land Inventory

Forest planning models have increased in size and complexity as planners address a growing array of economic, ecological, and societal issues. Hierarchical production models offer a means of better managing these large and complex models. Hierarchical production planning models decompose large models into a set of smaller linked models. For example, in this paper, a Lagrangian relaxation formulation and a modified Dantzig–Wolfe decomposition – column generation routine are used to solve a hierarchical forest planning model that maximizes the net present value of harvest incomes while recognizing specific geographical units that are subject to harvest flow and green-up constraints. This allows the planning model to consider forest-wide constraints such as harvest flow, as well as address separate subproblems for each contiguous management zone for which detailed spatial plans are computed. The approach taken in this paper is different from past approaches in forest hierarchical planning because we start with a single model and derive a hierarchical model that addresses integer subproblems using Dantzig–Wolfe decomposition. The decomposition approach is demonstrated by analyzing a set of randomly generated planning problems constructed from a large forest and land inventory data set.

The Evaluation of Competitiveness on Cost Advantage of Regional Hub Port: The Case Study of Trans-Pacific Route Against Kaohsiung Port

2019 ◽  
Vol 161 (A4) ◽  
Keyword(s):  
Deep Water ◽  
Strategic Alliances ◽  
Container Terminals ◽  
Operating Efficiency ◽  
External Threats ◽  
Shipping Cost ◽  
Container Ports ◽  
Terminal Operations ◽  
Trunk Routes ◽  
Port Of Kaohsiung

Numerous conventional container ports in East Asia are evolving from intercontinental into regional hub ports. This study adopted the Port of Kaohsiung as an example of competition with neighboring ports. The results of this study demonstrated that the Port of Kaohsiung is still a competitive docking port on trans-Pacific trunk routes for North America, despite facing external threats (e.g., upsizing of ships, lack of new deep-water terminals, and new strategic alliances affecting terminal operations), overall shipping cost considerations (e.g., container volume, different ship sizes, and port selection), and increasingly intense competition with neighboring ports. Under such circumstances, the Port of Kaohsiung must keep pace with container ship upsizing, sufficiently increase deep-water terminal capacity, and improve its existing container terminals’ operating efficiency to attract route deployment and larger container ships and thereby maintain its current advantages and position as a regional hub port.

Governance Capacity of the City of Niš, Serbia, in the Spatial Planning Process

2019 ◽  
pp. 0739456X1984456
Author(s):  
Milica Maksić
Keyword(s):  
Spatial Planning ◽  
Planning Process ◽  
Local Level ◽  
Planning Model ◽  
Informal Governance ◽  
Governance Capacity ◽  
Planning Models ◽  
Planning Framework ◽  
Governance Practices ◽  
The City

The basic objective of this paper is to research the capacity of local-level governance in Serbia to transform spatial planning practices. The analysis was performed on the case study of the City of Niš, where besides the presence of formal planning instruments, new informal governance practices have emerged. The governance of spatial development was analyzed in relation to three ideal governance models: hierarchy, market, and network, and four planning models: the comprehensive planning model, the negotiative planning model, the neoliberal model, and the collaborative model. The strengths and weaknesses of the institutional and planning framework are defined, and recommendations for improvement are given.

scholarly journals Berth scheduling at marine container terminals

2019 ◽  
Vol 5 (1) ◽  
pp. 30-66 ◽  
Author(s):  
Masoud Kavoosi ◽  
Maxim A. Dulebenets ◽  
Olumide Abioye ◽  
Junayed Pasha ◽  
Oluwatosin Theophilus ◽  
...  
Keyword(s):  
Population Based ◽  
Container Terminals ◽  
Metaheuristic Algorithms ◽  
Computational Time ◽  
Scheduling Problem ◽  
Metaheuristic Algorithm ◽  
Content Type ◽  
Marine Container Terminals ◽  
Problem Instances ◽  
Berth Scheduling

Purpose Marine transportation has been faced with an increasing demand for containerized cargo during the past decade. Marine container terminals (MCTs), as the facilities for connecting seaborne and inland transportation, are expected to handle the increasing amount of containers, delivered by vessels. Berth scheduling plays an important role for the total throughput of MCTs as well as the overall effectiveness of the MCT operations. This study aims to propose a novel island-based metaheuristic algorithm to solve the berth scheduling problem and minimize the total cost of serving the arriving vessels at the MCT. Design/methodology/approach A universal island-based metaheuristic algorithm (UIMA) was proposed in this study, aiming to solve the spatially constrained berth scheduling problem. The UIMA population was divided into four sub-populations (i.e. islands). Unlike the canonical island-based algorithms that execute the same metaheuristic on each island, four different population-based metaheuristics are adopted within the developed algorithm to search the islands, including the following: evolutionary algorithm (EA), particle swarm optimization (PSO), estimation of distribution algorithm (EDA) and differential evolution (DE). The adopted population-based metaheuristic algorithms rely on different operators, which facilitate the search process for superior solutions on the UIMA islands. Findings The conducted numerical experiments demonstrated that the developed UIMA algorithm returned near-optimal solutions for the small-size problem instances. As for the large-size problem instances, UIMA was found to be superior to the EA, PSO, EDA and DE algorithms, which were executed in isolation, in terms of the obtained objective function values at termination. Furthermore, the developed UIMA algorithm outperformed various single-solution-based metaheuristic algorithms (including variable neighborhood search, tabu search and simulated annealing) in terms of the solution quality. The maximum UIMA computational time did not exceed 306 s. Research limitations/implications Some of the previous berth scheduling studies modeled uncertain vessel arrival times and/or handling times, while this study assumed the vessel arrival and handling times to be deterministic. Practical implications The developed UIMA algorithm can be used by the MCT operators as an efficient decision support tool and assist with a cost-effective design of berth schedules within an acceptable computational time. Originality/value A novel island-based metaheuristic algorithm is designed to solve the spatially constrained berth scheduling problem. The proposed island-based algorithm adopts several types of metaheuristic algorithms to cover different areas of the search space. The considered metaheuristic algorithms rely on different operators. Such feature is expected to facilitate the search process for superior solutions.

scholarly journals 3D Integrated Modeling of Supersonic Coherent Jet Penetration and Decarburization in EAF Refining Process

Processes ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 700
Author(s):  
Yuchao Chen ◽  
Armin K. Silaen ◽  
Chenn Q. Zhou
Keyword(s):  
Liquid Steel ◽  
Flow Characteristics ◽  
Bath Temperature ◽  
Integrated Model ◽  
Refining Process ◽  
Computational Time ◽  
Reacting Flow ◽  
Two Phase ◽  
Decarburization Rate ◽  
Coherent Jet

The present study proposes a complete 3D integrated model to simulate the top-blown supersonic coherent jet decarburization in the electric arc furnace (EAF) refining process. The 3D integrated model avoids the direct simulation of the supersonic coherent jet interacting with the liquid steel bath and provides a feasible way to simulate the decarburization in the liquid steel-oxygen two-phase reacting flow system with acceptable computational time. The model can be used to dynamically predict the details of the molten bath, including 3D distribution of in-bath substances, flow characteristics and bath temperature and provide a basis for optimizing the decarburization rate or other required parameters during the refining process.

scholarly journals System Security Awareness Planning Model Using The Octave Method Approach

2019 ◽  
Vol 13 (3) ◽  
pp. 231
Author(s):  
Zaied Saad Shouran ◽  
Nur Rokhman ◽  
Tri Kuntoro Priyambodo
Keyword(s):  
Information System ◽  
Information Systems ◽  
Analytical Method ◽  
Descriptive Analysis ◽  
System Security ◽  
Planning Model ◽  
Important Thing ◽  
Planning Models ◽  
Qualitative Descriptive ◽  
Method Approach

Awareness of the security of information systems is an important thing to note. In this study, we will discuss planning models of awareness about information system security using Octave models or methods. The analytical method used is qualitative descriptive analysis. The results of the study show that the Octave model can increase awareness about the importance of security in an information system and companies that implement it will be able to improve their performance in the future.

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