scholarly journals Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model

2020 ◽  
Vol 12 (17) ◽  
pp. 6983
Author(s):  
Snežana Tadić ◽  
Mladen Krstić ◽  
Violeta Roso ◽  
Nikolina Brnjac
Keyword(s):  
Real Life ◽  
Western Balkans ◽  
Strategic Decisions ◽  
Location Selection ◽  
Logistics Network ◽  
Logistics Networks ◽  
Sustainable Logistics ◽  
Global Logistics ◽  
Hinterland Transport ◽  
Selection Of

Globalization and decentralization of production generate the intensive growth of goods and transport flows, mostly performed by the maritime transport. Ports, as the main nodes in the global logistics networks, are becoming congested, space for their expansion limited, and traffic in their hinterland congested. As a solution to these and many other hinterland-transport-related problems stands out the development of dry port (DP) terminals. Selection of their location is one of the most important strategic decisions on which depends their competitiveness in the market and the functionality of the logistics network. Accordingly, the evaluation and selection of locations for the development of the DP in accordance with the requirements of various stakeholders is performed in this paper, as a prerequisite for the establishment of an ecological, economic, and socially sustainable logistics network in the observed area. To solve this problem, a new hybrid model of multi-criteria decision-making (MCDM) that combines Delphi, AHP (Analytical Hierarchy Process), and CODAS (Combinative Distance-based Assessment) methods in a grey environment is developed. The main contributions of this paper are the defined model, the problem-solving approach based on finding a compromise solution, simultaneous consideration of the environmental, economic, and social sustainability of the DP concept and its implementation in the regional international markets. The applicability of the approach and the defined MCDM model is demonstrated by solving a real-life case study of ranking the potential DP locations in the Western Balkans region. Based on the obtained results, it is concluded that in the current market conditions, it would be most realistic to open three DP terminals, in Zagreb, Ljubljana, and Belgrade.

scholarly journals A NEW DECISION MODEL FOR CROSS-DOCKING CENTER LOCATION IN LOGISTICS NETWORKS UNDER INTERVAL-VALUED INTUITIONISTIC FUZZY UNCERTAINTY

Transport ◽  
2019 ◽  
Vol 34 (1) ◽  
pp. 30-40 ◽  
Author(s):  
Seyed Meysam Mousavi ◽  
Jurgita Antuchevičienė ◽  
Edmundas Kazimieras Zavadskas ◽  
Behnam Vahdani ◽  
Hassan Hashemi
Keyword(s):  
Distribution Networks ◽  
Decision Matrix ◽  
Uncertainty Interval ◽  
Location Selection ◽  
Intuitionistic Fuzzy ◽  
Logistics Networks ◽  
Weighted Arithmetic ◽  
Cross Docking ◽  
Interval Valued ◽  
Selection Of

Cross-dock has been a novel logistic approach to effectively consolidate and distribute multiple products in logistics networks. Location selection of cross-docking centers is a decision problem under different conflicting criteria. The decision has a vital part in the strategic design of distribution networks in logistics management. Conventional methods for the location selection of cross-docking centers are insufficient for handling uncertainties in Decision-Makers (DMs) or experts’ opinions. This study presents a modern Multi-Criteria Group Decision-Making (MCGDM) model, which applies the concept of compromise solution under uncertainty. To address uncertainty, Interval-Valued Intuitionistic Fuzzy (IVIF) sets are used. In this paper, first an IVIF-weighted arithmetic averaging (IVIF-WAA) operator is used in order to aggregate all IVIF-decision matrices, which were made by a team of the DMs into final IVIF-decision matrix. Then, a new Collective Index (CI) is developed that simultaneously regards distances of cross-docking centers as candidates from the IVIF-ideal points. Finally, the feasibility and practicability of proposed MCGDM model is illustrated with an application example on location choices of cross-docking centers to the logistics network design.

scholarly journals Solving Robust Weighted Independent Set Problems on Trees and under Interval Uncertainty

Symmetry ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2259
Author(s):  
Ana Klobučar ◽  
Robert Manger
Keyword(s):  
Approximation Algorithms ◽  
Facility Location ◽  
Linear Time ◽  
Real Life ◽  
Independent Set ◽  
Interval Uncertainty ◽  
Location Selection ◽  
Digital Maps ◽  
Original Contribution ◽  
Selection Of

The maximum weighted independent set (MWIS) problem is important since it occurs in various applications, such as facility location, selection of non-overlapping time slots, labeling of digital maps, etc. However, in real-life situations, input parameters within those models are often loosely defined or subject to change. For such reasons, this paper studies robust variants of the MWIS problem. The study is restricted to cases where the involved graph is a tree. Uncertainty of vertex weights is represented by intervals. First, it is observed that the max–min variant of the problem can be solved in linear time. Next, as the most important original contribution, it is proved that the min–max regret variant is NP-hard. Finally, two mutually related approximation algorithms for the min–max regret variant are proposed. The first of them is already known, but adjusted to the considered situation, while the second one is completely new. Both algorithms are analyzed and evaluated experimentally.

scholarly journals Designing a Resilient and Sustainable Logistics Network under Epidemic Disruptions and Demand Uncertainty

2021 ◽  
Vol 13 (24) ◽  
pp. 14053
Author(s):  
Aymen Aloui ◽  
Nadia Hamani ◽  
Laurent Delahoche
Keyword(s):  
Demand Uncertainty ◽  
Programming Model ◽  
Mixed Integer ◽  
Design Strategies ◽  
Logistics Network ◽  
Location Allocation ◽  
Logistics Networks ◽  
Sustainable Logistics ◽  
Stochastic Mixed Integer Programming ◽  
Demand Fluctuations

To face the new challenges caused by modern industry, logistics operations managers need to focus more on integrating sustainability goals, adapt to unexpected disruptions and find new strategies and models for logistics management. The COVID-19 pandemic has proven that unforeseen fragilities, negatively affecting the supply chain performance, can arise rapidly, and logistics systems may confront unprecedented vulnerabilities regarding network structure disruption and high demand fluctuations. The existing studies on a resilient logistics network design did not sufficiently consider sustainability aspects. In fact, they mainly addressed the independent planning of decision-making problems with economic objectives. To fill this research gap, this paper concentrates on the design of resilient and sustainable logistics networks under epidemic disruption and demand uncertainty. A two-stage stochastic mixed integer programming model is proposed to integrate key decisions of location–allocation, inventory and routing planning. Moreover, epidemic disruptions and demand uncertainty are incorporated through plausible scenarios using a Monte Carlo simulation. In addition, two resiliency strategies, namely, capacity augmentation and logistics collaboration, are included into the basic model in order to improve the resilience and the sustainability of a logistics chain network. Finally, numerical examples are presented to validate the proposed approach, evaluate the performance of the different design models and provide managerial insights. The obtained results show that the integration of two design strategies improves resilience and sustainability.

scholarly journals Hybridization of ring theory-based evolutionary algorithm and particle swarm optimization to solve class imbalance problem

2021 ◽  
Author(s):  
Sayan Surya Shaw ◽  
Shameem Ahmed ◽  
Samir Malakar ◽  
Laura Garcia-Hernandez ◽  
Ajith Abraham ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Real Life ◽  
Class Imbalance ◽  
Ring Theory ◽  
Class Imbalance Problem ◽  
Minority Class ◽  
Swarm Optimization ◽  
Imbalance Problem ◽  
Representative Samples ◽  
Selection Of

AbstractMany real-life datasets are imbalanced in nature, which implies that the number of samples present in one class (minority class) is exceptionally less compared to the number of samples found in the other class (majority class). Hence, if we directly fit these datasets to a standard classifier for training, then it often overlooks the minority class samples while estimating class separating hyperplane(s) and as a result of that it missclassifies the minority class samples. To solve this problem, over the years, many researchers have followed different approaches. However the selection of the true representative samples from the majority class is still considered as an open research problem. A better solution for this problem would be helpful in many applications like fraud detection, disease prediction and text classification. Also, the recent studies show that it needs not only analyzing disproportion between classes, but also other difficulties rooted in the nature of different data and thereby it needs more flexible, self-adaptable, computationally efficient and real-time method for selection of majority class samples without loosing much of important data from it. Keeping this fact in mind, we have proposed a hybrid model constituting Particle Swarm Optimization (PSO), a popular swarm intelligence-based meta-heuristic algorithm, and Ring Theory (RT)-based Evolutionary Algorithm (RTEA), a recently proposed physics-based meta-heuristic algorithm. We have named the algorithm as RT-based PSO or in short RTPSO. RTPSO can select the most representative samples from the majority class as it takes advantage of the efficient exploration and the exploitation phases of its parent algorithms for strengthening the search process. We have used AdaBoost classifier to observe the final classification results of our model. The effectiveness of our proposed method has been evaluated on 15 standard real-life datasets having low to extreme imbalance ratio. The performance of the RTPSO has been compared with PSO, RTEA and other standard undersampling methods. The obtained results demonstrate the superiority of RTPSO over state-of-the-art class imbalance problem-solvers considered here for comparison. The source code of this work is available in https://github.com/Sayansurya/RTPSO_Class_imbalance.

scholarly journals USE OF “KNOWLEDGE HOUSE”, DWS, DMS AND DSS METHODOLOGY BY COMPLETING A COMPETITORS' ANALYSIS IN THE RAILWAY SECTOR

2016 ◽  
Vol 17 (6) ◽  
pp. 1022-1051
Author(s):  
Vaidas GAIDELYS ◽  
Stasys DAILYDKA
Keyword(s):  
Intellectual Capital ◽  
Positive Impact ◽  
Competitive Intelligence ◽  
Sources Of Information ◽  
Strategic Decisions ◽  
Foreign Companies ◽  
Information Accessibility ◽  
Use Of Knowledge ◽  
Selection Of

In completing a competitors’ analysis in the railway sector by using the “Knowledge House” method, there is frequently a problem of data and information accessibility. The quality of primary information has direct influence on the quality of analytical conclusions. One more condition for the qualitative application of this method is the intellectual capital and experience of the analyst. One should note that in this regard we face another problem, that of selection of proper personnel, on the qualification of whom depends the accuracy of the evaluation and final results, on the basis of which strategic decisions are taken. The main aim of the paper is to assess the opportunities for applications of competitive intelligence methods in the railway sector. The study is using “Knowledge House”, DWS, DMS, DSS methodologies. Having analysed the scientific works the direct scientific sources of information, which are oriented to the application of the methods of competitive intelligence to the railway sector, have not been identified. The paper is absolutely original in that until now the competitive intelligence techniques have not been applied for the railway sector companies. Considering the fact that foreign companies, which compete for freighting at the international level, are regarded as the main competitors of the railway sector, the use of the methods of the competitive intelligence becomes more important while fighting for the part of the market. The competitive intelligence methods and their application to the railway sector companies are little studied. In accordance with application of the relevant methods in other sectors, it can be assumed that these innovative approaches could have a positive impact on the competitiveness of companies in the railway sector and their income.

scholarly journals Extending QGroundControl for Automated Mission Planning of UAVs

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2339 ◽  
Author(s):  
Cristian Ramirez-Atencia ◽  
David Camacho
Keyword(s):  
Flight Control ◽  
Low Cost ◽  
Real Life ◽  
Mission Planning ◽  
Human Computer Interface ◽  
Simulation Environment ◽  
Test Bed ◽  
Multiple Vehicles ◽  
Operator Workload ◽  
Selection Of

Unmanned Aerial Vehicles (UAVs) have become very popular in the last decade due to some advantages such as strong terrain adaptation, low cost, zero casualties, and so on. One of the most interesting advances in this field is the automation of mission planning (task allocation) and real-time replanning, which are highly useful to increase the autonomy of the vehicle and reduce the operator workload. These automated mission planning and replanning systems require a Human Computer Interface (HCI) that facilitates the visualization and selection of plans that will be executed by the vehicles. In addition, most missions should be assessed before their real-life execution. This paper extends QGroundControl, an open-source simulation environment for flight control of multiple vehicles, by adding a mission designer that permits the operator to build complex missions with tasks and other scenario items; an interface for automated mission planning and replanning, which works as a test bed for different algorithms, and a Decision Support System (DSS) that helps the operator in the selection of the plan. In this work, a complete guide of these systems and some practical use cases are provided

scholarly journals PENGEMASAN TARI GUEL DALAM BENTUK KARTU POS SEBAGAI MEDIA PEMBELAJARAN

2018 ◽  
Vol 7 (1) ◽  
pp. 18
Author(s):  
Suciati Simah Bengi ◽  
Yusnizar Heniwaty ◽  
Dilinar Adlin
Keyword(s):  
Graphic Design ◽  
Media Theory ◽  
Second Step ◽  
Literature Study ◽  
Learning Materials ◽  
Location Selection ◽  
Qualitative Descriptive ◽  
Descriptive Method ◽  
Editing Process ◽  
Selection Of

Abstract-This study discusses Guel dance learning media created in the form of postcards. Aims to be able to direct students in identifying, appreciating, and expressing dances of the Gayo area, especially Guel dance. Theories used in the research of packaging theory according to Cahyorini and Rusfian (2011: 28), theory of learning media according to Heinich in Susilana (2016: 06), and graphic media theory according to Susilana and Riyana (2016: 14) Packaging is a theory used for graphic design, in terms of producing the product, and the image media in the form of postcards used to make Guel dance material as a learning medium. The time of the study was conducted from August to October 2017. The research site was at Sanggar Renggali Jalan Merah Mege Hakim Bale Bujang Laut Tawar, Central Aceh District. The population of several artists Gayo and all members of Sanggar Renggali because learning Guel dance is a dance learning materials in schools in Takengon and Samples are 2 people Gayo artists and 2 dancers dance Guel. Data collection techniques include observation, interview, literature study, and documentation, and then analyzed by qualitative descriptive method. Based on research that has been done Guel dance is a tradition dance Gayo community that has been used as learning materials in the schools of Middle Secondary in Central Aceh district. Guel dance which is packed in the form of postcards as a medium of learning with menggunkana first step of planning is preparing the material, determining the location, selection of dancers, and prepare the facilities and infrastructure. The second step of implementation is taking photos, editing process, then the last step is the completion of postcards and final writing. And produces packaging of learning media of Guel dance that is in the form of postcard.  Keywords: Packaging, Guel Dance, Postcard Media

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