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Journal articles on the topic 'Location-Transshipment'

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Author: Grafiati

Published: 14 March 2023

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1

Crainic, Teodor Gabriel, Riccardo Giusti, Daniele Manerba, and Roberto Tadei. "The Synchronized Location-Transshipment Problem." Transportation Research Procedia 52 (2021): 43–50. http://dx.doi.org/10.1016/j.trpro.2021.01.007.

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2

Wiles, Peter G., and Bruce van Brunt. "Optimal location of transshipment depots." Transportation Research Part A: Policy and Practice 35, no. 8 (September 2001): 745–71. http://dx.doi.org/10.1016/s0965-8564(00)00015-x.

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3

Özdemir, Deniz, Enver Yücesan, and Yale T. Herer. "Multi-location transshipment problem with capacitated transportation." European Journal of Operational Research 175, no. 1 (November 2006): 602–21. http://dx.doi.org/10.1016/j.ejor.2005.06.004.

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4

Özdemir, Deniz, Enver Yücesan, and Yale T. Herer. "Multi-location transshipment problem with capacitated production." European Journal of Operational Research 226, no. 3 (May 2013): 425–35. http://dx.doi.org/10.1016/j.ejor.2012.11.014.

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5

HERER, YALE T., and MICHAL TZUR. "Optimal and heuristic algorithms for the multi-location dynamic transshipment problem with fixed transshipment costs." IIE Transactions 35, no. 5 (May 2003): 419–32. http://dx.doi.org/10.1080/07408170304389.

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6

Belgasmi, Nabil, Lamjed Ben Saïd, and Khaled Ghédira. "Evolutionary multiobjective optimization of the multi-location transshipment problem." Operational Research 8, no. 2 (March 28, 2008): 167–83. http://dx.doi.org/10.1007/s12351-008-0015-5.

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7

Ding, Ji-Feng, and Chien-Chang Chou. "An Evaluation Model of Quantitative and Qualitative Fuzzy Multi-Criteria Decision-Making Approach for Location Selection of Transshipment Ports." Mathematical Problems in Engineering 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/783105.

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The role of container logistics centre as home bases for merchandise transportation has become increasingly important. The container carriers need to select a suitable centre location of transshipment port to meet the requirements of container shipping logistics. In the light of this, the main purpose of this paper is to develop a fuzzy multi-criteria decision-making (MCDM) model to evaluate the best selection of transshipment ports for container carriers. At first, some concepts and methods used to develop the proposed model are briefly introduced. The performance values of quantitative and qualitative subcriteria are discussed to evaluate the fuzzy ratings. Then, the ideal and anti-ideal concepts and the modified distance measure method are used in the proposed model. Finally, a step-by-step example is illustrated to study the computational process of the quantitative and qualitative fuzzy MCDM model. The proposed approach has successfully accomplished our goal. In addition, the proposed fuzzy MCDM model can be empirically employed to select the best location of transshipment port for container carriers in the future study.

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8

Belgasmi, Nabil, Lamjed Ben Saïd, and Khaled Ghédira. "Multiobjective Analysis of the Multi-Location Newsvendor and Transshipment Models." International Journal of Information Systems and Supply Chain Management 6, no. 4 (October 2013): 42–60. http://dx.doi.org/10.4018/ijisscm.2013100103.

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Unlike the Newsvendor model, a system based on lateral transshipments allows the unsold inventories to be moved from locations with surplus inventory to fulfill more unmet demands at stocked out locations. Both models were thoroughly studied and researches were usually confined to cost minimization or profit maximization. In this paper, the authors proposed a more realistic multiobjective study of both multi-location Transshipment and Newsvendor inventory models. The aggregate cost, the fill rate, and the shared inventory quantity are formulated as conflicting objectives and solved using two reference multiobjective evolutionary algorithms (SPEA2 and NSGA-II). The proposed models take into account the presence of storage capacity constraints. The obtained Pareto fronts revealed interesting information. When transshipments are allowed, both low aggregate cost and high fill rate levels are ensured. The required shared inventory may have an important variability. The considered objective functions are conflicting and very sensitive to local storage capacities.

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9

Baldi, Mauro Maria, Marco Ghirardi, Guido Perboli, and Roberto Tadei. "The Capacitated Transshipment Location Problem Under Uncertainty: A Computational Study." Procedia - Social and Behavioral Sciences 39 (2012): 424–36. http://dx.doi.org/10.1016/j.sbspro.2012.03.119.

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10

Rudi, Nils, Sandeep Kapur, and David F. Pyke. "A Two-Location Inventory Model with Transshipment and Local Decision Making." Management Science 47, no. 12 (December 2001): 1668–80. http://dx.doi.org/10.1287/mnsc.47.12.1668.10235.

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11

Hu, Xinxin, Izak Duenyas, and Roman Kapuscinski. "Existence of Coordinating Transshipment Prices in a Two-Location Inventory Model." Management Science 53, no. 8 (August 2007): 1289–302. http://dx.doi.org/10.1287/mnsc.1060.0694.

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12

Ogryczak, Włodzimierz, Krzysztof Studziński, and Krystian Zorychta. "A solver for the multi-objective transshipment problem with facility location." European Journal of Operational Research 43, no. 1 (November 1989): 53–64. http://dx.doi.org/10.1016/0377-2217(89)90409-8.

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13

Chou, Chien-Chang, and Ji-Feng Ding. "Application of an Integrated Model with MCDM and IPA to Evaluate the Service Quality of Transshipment Port." Mathematical Problems in Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/656757.

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It is often to solve complex decision-making problems in the marine transportation environment, such as the evaluation of service quality and the location choice of ports. In this paper, an integrated model with multiple-criteria decision making (MCDM) and importance-performance analysis (IPA) is presented and then is applied to solve the problem of service quality evaluation of transshipment port. The MCDM approach can be used to deal with both quantitative data and qualitative ratings simultaneously. The IPA approach can be applied to realize the shortcomings of service quality of ports and rank the ranking of strategies for improving service quality of transshipment port. Finally, some useful suggestions for improving the service quality of ports are given in the paper.

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14

Pian, Feng, Qiuju Shi, Xue Yao, Huiling Zhu, and Weixin Luan. "Joint Optimization of a Dry Port with Multilevel Location and Container Transportation: The Case of Northeast China." Complexity 2021 (April 22, 2021): 1–16. http://dx.doi.org/10.1155/2021/5584600.

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Dry port construction can reduce the cost of container transportation, and its location is the focus of existing research. Considering dry port capacity limitations and scale advantages, this study calculates the costs associated with dry port construction and operations, transportation, time, and the environment and constructs a joint optimization model of the dry port location and transportation scheme to minimize the total cost. Taking 35 prefecture-level cities in Northeast China as the source of container goods and Dalian port as the destination, this study conducts an empirical analysis using the Gurobi 9.0.2 optimizer of the AMPL software to solve the problem and takes the minimum total cost as the goal to select the best dry port and container transshipment scheme. The research draws the following conclusions. Seven dry ports also need to be built in the road-rail (RD-RL) mode, which shares 82.76% of the container transshipment volume, to reduce the total transportation cost by approximately 21.67%. Although multimodal transport through dry ports increases the time cost slightly, it can significantly reduce the economic and environmental costs of container transportation.

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15

Dhahri, Akrem, Ali Gharbi, and Mustapha Ouhimmou. "Integrated production-transshipment control policy for a two-location unreliable manufacturing system." International Journal of Production Economics 247 (May 2022): 108440. http://dx.doi.org/10.1016/j.ijpe.2022.108440.

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16

Salehi, Hossein, Reza Tavakkoli Moghaddam, and G. Reza Nasiri. "A multi-objective location-allocation problem with lateral transshipment between distribution centres." International Journal of Logistics Systems and Management 22, no. 4 (2015): 464. http://dx.doi.org/10.1504/ijlsm.2015.072749.

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17

Feng, Pingping, Richard Y. K. Fung, and Feng Wu. "Preventive transshipment decisions in a multi-location inventory system with dynamic approach." Computers & Industrial Engineering 104 (February 2017): 1–8. http://dx.doi.org/10.1016/j.cie.2016.12.005.

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18

Meissner, Joern, and Olga V. Senicheva. "Approximate dynamic programming for lateral transshipment problems in multi-location inventory systems." European Journal of Operational Research 265, no. 1 (February 2018): 49–64. http://dx.doi.org/10.1016/j.ejor.2017.06.049.

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19

Tadei, Roberto, Guido Perboli, Nicoletta Ricciardi, and Mauro Maria Baldi. "The capacitated transshipment location problem with stochastic handling utilities at the facilities." International Transactions in Operational Research 19, no. 6 (April 17, 2012): 789–807. http://dx.doi.org/10.1111/j.1475-3995.2012.00847.x.

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20

Al-Yakoob, Salem M., and Hanif D. Sherali. "A Mathematical Modelling and Optimization Approach for a Maritime Facility Location Transshipment Problem." Informatica 29, no. 4 (January 1, 2018): 609–32. http://dx.doi.org/10.15388/informatica.2018.184.

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21

Bhatnagar, Rohit, and Bing Lin. "The joint transshipment and production control policies for multi-location production/inventory systems." European Journal of Operational Research 275, no. 3 (June 2019): 957–70. http://dx.doi.org/10.1016/j.ejor.2018.12.025.

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22

Olsson, Fredrik. "Emergency lateral transshipments in a two-location inventory system with positive transshipment leadtimes." European Journal of Operational Research 242, no. 2 (April 2015): 424–33. http://dx.doi.org/10.1016/j.ejor.2014.10.015.

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23

Ogryczak, Włodzimierz, Krzysztof Studziński, and Krystian Zorychta. "DINAS: A computer-assisted analysis system for multiobjective transshipment problems with facility location." Computers & Operations Research 19, no. 7 (October 1992): 637–47. http://dx.doi.org/10.1016/0305-0548(92)90033-2.

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24

de Morais, Gustavo Rodrigues, Yuri Clements Daglia Calil, Gabriel Faria de Oliveira, Rodney Rezende Saldanha, and Carlos Andrey Maia. "A Sustainable Location Model of Transshipment Terminals Applied to the Expansion Strategies of the Soybean Intermodal Transport Network in the State of Mato Grosso, Brazil." Sustainability 15, no. 2 (January 6, 2023): 1063. http://dx.doi.org/10.3390/su15021063.

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The transport system is one of the main bottlenecks of the world’s largest producer and exporter of soybeans, Brazil. Long-distance truck transportation of grains increases costs, food waste, and CO2 emissions. To handle these problems, the Brazilian government seeks to expand the transportation system through the national transport logistics plan (PNLT), promoting efficient operations. Collaborating on the environmental aspect, this paper proposes sustainable logistic infrastructure for soybean transportation. Investigating the largest grain-producing state in the world, Mato Grosso (Brazil), we show the optimal location for capacitated transshipment terminals untangling the relationship between logistics and sustainability. Besides handling cargo truck costs and CO2 emission, the optimization model considers cities, road distances, transshipment terminals existents, terminals capacities, implementing costs, and locations near waterways and railways. In five scenarios with different combinations of waterways and railways, we contrast the cost of installing terminals and the total road distance traveled under different weights for the environmental components. The results indicate that it is possible to simultaneously obtain the minimum cost of installing transshipment terminals and to reduce emissions by 20% in all analyzed scenarios. We conclude that obtaining strategic solutions at lower costs can be combined with proper environmental responsibility. As contributions, the results allow for advances in the area of sustainable logistics, encouraging the development of new research in Brazil involving the dimensions of sustainability. In addition, the study supports the government’s strategic decisions regarding ongoing discussions on expanding the intermodal soy transport network in the country.

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25

Mohamed, Alhossein, and Qiyuan Peng. "Particle Swarm Optimization (PSO) Performance in Solving the Train Location Problem at Transshipment Yard." OALib 01, no. 07 (2014): 1–8. http://dx.doi.org/10.4236/oalib.1101024.

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26

van Wijk, A. C. C., I. J. B. F. Adan, and G. J. van Houtum. "Optimal lateral transshipment policies for a two location inventory problem with multiple demand classes." European Journal of Operational Research 272, no. 2 (January 2019): 481–95. http://dx.doi.org/10.1016/j.ejor.2018.06.033.

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27

Kellner, Michael, Nils Boysen, and Malte Fliedner. "How to park freight trains on rail–rail transshipment yards: the train location problem." OR Spectrum 34, no. 3 (April 12, 2011): 535–61. http://dx.doi.org/10.1007/s00291-011-0246-3.

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28

Li, Jinfeng, Christian Prins, and Feng Chu. "A scatter search for a multi-type transshipment point location problem with multicommodity flow." Journal of Intelligent Manufacturing 23, no. 4 (May 6, 2010): 1103–17. http://dx.doi.org/10.1007/s10845-010-0403-6.

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29

Lingling, Tang, and Luo Zhengying. "Research on the Location selection of Logistics Transshipment Center base on “16+1 Cooperation”." IOP Conference Series: Earth and Environmental Science 587 (October 23, 2020): 012121. http://dx.doi.org/10.1088/1755-1315/587/1/012121.

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30

Jerzyło, Patrycja, Aleksandra Wawrzyńska, and Leszek Smolarek. "Logistic conditions of spatial planning of urbanized areas for the development of inland navigation." WUT Journal of Transportation Engineering 126 (September 1, 2019): 15–27. http://dx.doi.org/10.5604/01.3001.0013.6271.

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Spatial planning is a derivative of several environmental, economic, market, technical, social, and political factors. In spatial planning of inland water ports, the configuration of the land surface, i.e., its shape (relief), and the presence and mutual location of objects and points of characteristic water ports are assumed as the main factors. Also, the port's planning, the planned structure of trade in goods, forecasted ship traffic, communication routes, applicable transshipment technology, and the anticipated demand for the development of shipping and inland waterway trade are of great importance in spatial planning and location. The article describes the criteria of logistic conditions for planning the inland port's location and transport accessibility in the lower section of the Vistula River. The intensity of vessel traffic, port spatial planning, and economic assessment were assessed.

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31

Zhao, Hui, Jennifer K. Ryan, and Vinayak Deshpande. "Optimal Dynamic Production and Inventory Transshipment Policies for a Two-Location Make-to-Stock System." Operations Research 56, no. 2 (April 2008): 400–410. http://dx.doi.org/10.1287/opre.1070.0494.

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32

Feng, Pingping, Feng Wu, Richard Y. K. Fung, and Tao Jia. "Evaluation of two transshipment policies in a two-location decentralized inventory system under partial backordering." Transportation Research Part E: Logistics and Transportation Review 118 (October 2018): 207–24. http://dx.doi.org/10.1016/j.tre.2018.07.010.

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33

Feng, Pingping, Feng Wu, Richard Y. K. Fung, Tao Jia, and Wei Zong. "The order and transshipment decisions in a two-location inventory system with demand forecast updates." Computers & Industrial Engineering 135 (September 2019): 53–66. http://dx.doi.org/10.1016/j.cie.2019.04.043.

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34

Marín, Alfredo, and Blas Pelegrín. "A branch-and-bound algorithm for the transportation problem with location of p transshipment points." Computers & Operations Research 24, no. 7 (July 1997): 659–78. http://dx.doi.org/10.1016/s0305-0548(96)00078-0.

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35

Chen, Xin, Xiangyu Gao, and Zhenyu Hu. "A new approach to two-location joint inventory and transshipment control via L♮-convexity." Operations Research Letters 43, no. 1 (January 2015): 65–68. http://dx.doi.org/10.1016/j.orl.2014.11.007.

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36

Chusnia, Titik. "APLIKASI TRANSSHIPMENT PADA PENDISTRIBUSIAN PRODUK." Jurnal Teknik Industri 4, no. 2 (April 26, 2010): 50. http://dx.doi.org/10.22219/jtiumm.vol4.no2.50-60.

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The company exploit 2 source to firlfill requirement in every marketing location directly from warehouse as according to request. This matter is very require very big delivery expense. So that this research is raised to analyse better distribution column pattern with product delivery expense which minimum. In this analysis model transshipment used for planning of pattem of band of distribution with analysis of previous travelled distance so that a source eam the target personating conversely the target eam the source personating. Analyse this early from forecastingo f requestw ith methodo f linear trend and trend eksponensial. And then selected by plan of marketing for month March - Juny 2004 pursuant to result of smallest MAPE. Herein after the calculation analyse distribution use method of VAM for early solution and method of MODI for solution ofoptium constructively software QS. Total cost which must be released by company before conducted by analysis equal to Rp. 44.722.286a nd after conductedb y analysisw ith method transshipmenty ielding pattern of distribution of proposal and total cost of delivery equal to Rp. 36.2'14.082s, o that can be conducted by thrift equal to Rp. 8.508.204 or by prosentase equal to 19%.

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37

Archibald, T. W., D. Black, and K. D. Glazebrook. "An index heuristic for transshipment decisions in multi-location inventory systems based on a pairwise decomposition." European Journal of Operational Research 192, no. 1 (January 2009): 69–78. http://dx.doi.org/10.1016/j.ejor.2007.09.019.

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38

Ren, Qi Liang, Ming Ming Li, Qing Li, Jin Shan Chen, and Bo Li. "Improved Model for Strategic-Loading-Station Location Problem under Incomplete Information." Key Engineering Materials 474-476 (April 2011): 151–57. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.151.

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In order to realize scientific planning the layout of strategic loading station, the strategic-loading –station location problem was proposed, which is related to determine the location of each stay with station and the transportation plan on the precise of satisfying the general location constraints and problem related special constraints. Based on theory of capacitated facility location with multiple souring in two stage supply chain, one mixed integer linear programming model was established which took whole logistic cost embedding transportation and location costs as objective. When confronted with small and medium size problem, this model could be exactly solved by optimization software using branch and bound algorithm, and when the problem size was big, this model could be heuristically solved by genetic algorithm which used 0-1 and priority-based combined encoding method to represent solution, cost-based and random-generated combined method to generate initial solution, solution repaired strategy and penalty method and special fitness function to deal illegal individual, and greedy based method to heuristically solve transshipment problem. At last, according to computational tests on randomly generated data demonstrated the practical feasibility of this method.

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39

Hernández, Salvador, Avinash Unnikrishnan, and Satyen S. Awale. "Centralized Carrier Collaboration Multihub Location Problem for Less-Than-Truckload Industry." Transportation Research Record: Journal of the Transportation Research Board 2269, no. 1 (January 2012): 20–28. http://dx.doi.org/10.3141/2269-03.

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A centralized carrier collaboration multihub location problem (CCCMLP) for the small to medium-sized less-than-truckload industry is addressed. In the CCCMLP, a central entity (e.g., a third-party logistics firm) seeks a set of collaborative consolidation transshipment hubs to establish a hybrid collaborative hub-and-spoke system that minimizes the total collaborative costs for the set of collaborating carriers. Previous studies focused on addressing the exchange of capacity without considering the location of transfer hubs and the routes that connect them. A carrier has the option either to collaborate or to ship its demand directly without collaborating. The decision depends on the expected profit margin over shipping directly while following a revenue-generating, rate-setting behavior. The CCCMLP was formulated as a variant of the P-hub location problem, which is NP-hard and solved with Lagrangian relaxation. Numerical experiments were conducted to gain insight into the performance of the CCCMLP formulation under various network sizes and numbers of hubs. The results indicate that larger expected profit margins from collaborative carriers applying revenue-generating behavior would increase the likelihood of collaboration by carriers. As the network size increases, the effect of hybrid hub location costs drops.

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40

Medbøen, Carl Axel Benjamin, Magnus Bolstad Holm, Mohamed Kais Msakni, Kjetil Fagerholt, and Peter Schütz. "Combining Optimization and Simulation for Designing a Robust Short-Sea Feeder Network." Algorithms 13, no. 11 (November 20, 2020): 304. http://dx.doi.org/10.3390/a13110304.

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Here we study a short-sea feeder network design problem based on mother and daughter vessels. The main feature of the studied system is performing transshipment of cargo between mother and daughter vessels at appropriate locations at sea. This operation requires synchronization between both types of vessels as they have to meet at the same location at the same time. This paper studies the problem of designing a synchronized feeder network, explicitly accounting for the effect of uncertain travel times caused by harsh weather conditions. We propose an optimization-simulation framework to find robust solutions for the transportation system. The optimization model finds optimal routes that are then evaluated by a discrete-even simulation model to measure their robustness under uncertain weather conditions. This process of optimization simulation is repeated until a satisfactory condition is reached. To find even better solutions, we include different performance-improving strategies by adding robustness during route generation or exploiting flexibility in sailing speed to recover from delays. We apply the solution method to a case based on realistic data from a Norwegian shipping company. The results show that the method finds near-optimal solutions that offer robustness against schedule perturbations due to harsh weather. They also highlight the importance of considering uncertainty when designing a short-sea feeder network with transshipment at sea.

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41

Ziari, Houshmand A., Stephen Fuller, Warren Grant, and Vinod Sutaria. "Effect of Proposed Grain Standards on Marketing Costs of the U.S. Sorghum Sector: An Interregional Transshipment-Plant Location Model." Journal of Agricultural and Applied Economics 27, no. 1 (July 1995): 238–52. http://dx.doi.org/10.1017/s1074070800019763.

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AbstractRecent legislative initiatives call for studies to evaluate costs associated with cleaning U.S. grains to meet more stringent standards. This paper reports on a study which developed a mixed-integer programming model of the U.S. sorghum sector to (1) determine the least-cost geographic location for new cleaning investment at the country, terminal and port elevator stages of the marketing system and (2) measure additional system marketing costs associated with implementing the proposed standards. Results show the least-cost cleaning location to be at country and terminal elevators in excess supply regions. Implementing the proposed standard would increase system costs about 2 percent.

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42

Zhang, Ming, Yu Zhang, Zhifeng Qiu, and Hanlin Wu. "Two-Stage Covering Location Model for Air–Ground Medical Rescue System." Sustainability 11, no. 12 (June 12, 2019): 3242. http://dx.doi.org/10.3390/su11123242.

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This study tackled the multimodal facility location problem in emergency medical rescue. First, an intermodal setting was suggested, i.e., considering cooperation between ground ambulances and helicopters in emergency medical rescues. Specifically, four scheduling modes were structured: air only, ground only, air-ground combined mode if landing and take-off site for helicopters near the wounded is available, and air-ground transshipment if the landing and take-off site for helicopters near the wounded is not available. Second, a two-stage covering location model was proposed. In the first stage, a set-covering model was developed to achieve maximum coverage and minimal total construction cost of emergency rescue facilities. The optimal mixed allocation proportion of helicopters and ground ambulances was then obtained to guarantee cohesion between the hierarchical models and covering characteristics and the economic efficiency of location results. In the second stage, for given emergency locations, an emergency scheduling mode matrix was constructed for meeting response time and total rescue time constraints. The proposed model obtains optimal results in terms of coverage, construction cost, and rescue time. A case study of Beijing, China validated the feasibility and efficiency of the two-stage covering location model for multimodal emergency medical rescue network. The proposed air-ground rescue system and two-stage covering location model can be extended and also used for large-scale disaster rescue management.

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43

Archibald, T. W., D. P. Black, and K. D. Glazebrook. "The use of simple calibrations of individual locations in making transshipment decisions in a multi-location inventory network." Journal of the Operational Research Society 61, no. 2 (February 2010): 294–305. http://dx.doi.org/10.1057/jors.2008.127.

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44

Fedosov, A. V., and E. V. Zhuravleva. "Simulation of air streams at oil transshipment complex in order to determine an optimal location for buildings and facilities." Oil and Gas Business, no. 2 (April 2014): 260–77. http://dx.doi.org/10.17122/ogbus-2014-2-260-277.

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45

Petering, Matthew E. H., Yong Wu, Wenkai Li, Mark Goh, Robert de Souza, and Katta G. Murty. "Real-time container storage location assignment at a seaport container transshipment terminal: dispersion levels, yard templates, and sensitivity analyses." Flexible Services and Manufacturing Journal 29, no. 3-4 (August 1, 2016): 369–402. http://dx.doi.org/10.1007/s10696-016-9247-5.

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46

Antonowicz, Mirosław, Henryk Zielaskiewicz, and Mieczysław Kornaszewski. "Development of logistic services in rail transport." Transportation Overview - Przeglad Komunikacyjny 2019, no. 3 (March 1, 2019): 12–20. http://dx.doi.org/10.35117/a_eng_19_03_03.

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This article provides a description of the methodology for calculating the capacity of handling cargo handling terminal. The methodology allows the calculation of the capacity of the track infrastructure conditions in the track and landing and cool, handling, transshipment equipment adapted to the technical conditions and Terminal process. The article describes. rigid data IE. infrastructure and equipment which change is possible (or not) through the investment process (e.g. expansion of another place, the purchase of handling equipment) and scale-out data and variables that include factors that may be subject to change in during the operation of the infrastructure and subject to the possibility of impact by the terminal operator on these elements without investment. Indicates the criteria and the role of the selection of the correct location of the Terminal for its activities and building the capabilities of handling terminal.

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47

Sujjaviriyasup, Thoranin, and Komkrit Pitiruek. "Cassava Transportation Planning under Uncertain Demand Using Hybrid Algorithm: Case Study of Roi Et Province." Advanced Materials Research 931-932 (May 2014): 1658–63. http://dx.doi.org/10.4028/www.scientific.net/amr.931-932.1658.

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Cassava transportation planning usually involves unexpected demand, which may result in shortage supply. Furthermore, a distribution center at which cassava is collected is difficult to be located since the demand is unknown. In this research, hybrid forecasting model for predicting future demand in order to determine transshipment points is proposed. In addition, cluster analysis and particle swarm optimization are used for creating potential zones and determine a proper location as a new hub. Finally, the optimal value of a transportation network model using both forecasted value and actual value obtained from linear programming technique are tested and compared. The results indicate that the hybrid forecasting model provides the lowest error and forecasting value provides average error of optimal value compared to actual value by 19.81%. Moreover, zoning technique can be able to improve shipping volume fulfilled to a large truck.

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Sharma, Sanjay, and Sanjaysingh Vijaysingh Patil. "Development of Holistic Framework Incorporating Collaboration, Supply-Demand Synchronization, Traceability and Vertical Integration in Agri-Food Supply Chain." International Journal of Information Systems and Supply Chain Management 4, no. 4 (October 2011): 18–45. http://dx.doi.org/10.4018/jisscm.2011100102.

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Successful implementation of food supply chains in improving the productivity and operational efficiency by some companies made many other firms and researchers courteous about this fast developing field. For successful strategies, organizations in agri-food business are aiming to bring all its stakeholders in close cooperation. The agri-food supply chain aims at optimal warehousing and location design, supply-demand synchronization, checking price variations and ultimately minimizing waste and improving productivity at every stage leveraging Information Technology (IT). This research reviews the supply chain status in agri-food sector, categorizes available literature, assesses the influential articles, and proposes the holistic framework in agri-food supply chain. From the literature review, it is observed that the research articles have addressed agri-food supply chain up to a certain point and confined to the apt ideas of supply projections, demand projections, supply-demand disparity, traceability, collaborations etc. There is a need for extensive research to reconsider warehouse and location design, supply-demand projections and gap analysis, transshipment strategies and traceability in an integrated manner. The present study proposes holistic framework addressing the issues of supply-demand synchronization, warehouse design, transportation optimization, traceability, vertical integration and farmer’s credit facility.

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KOZACHENKO, D., M. BEREZOVYI, V. MALASHKIN, and S. BORYCHEVA. "FEATURES OF CALCULATION OF THE REQUIRED QUANTITY OF GRAIN TERMINAL TRACKS IN SEA PORTS IN MODERN CONDITIONS." Transport systems and transportation technologies, no. 22 (December 28, 2021): 80. http://dx.doi.org/10.15802/tstt2021/247886.

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Purpose. Ukraine is one of the world's five largest producers of grain crops. Much of the grain is exported. Traditionally, grain cargoes are exported through the western land crossings and seaports of the Black and Azov Seas, with the bulk of grain exports going through the port of Nikolaev and the ports of Greater Odessa. Rail transport provides delivery to exporting ports up to 2/3 of the total volume of grain transshipment in ports. Given the significant number of operations in the general technological process of processing grain wagons in ports, the required capacity of technical equipment of railway transport (number of tracks, locomotives, weighing devices, etc.) plays a significant role in the duration of the transshipment process and total operating costs. In this regard, determining the required number of ways to service the flow of grain for export is an urgent task. Methods. Comprehensive analysis of technical equipment and technology of railway transport of grain terminals in seaports, statistical analysis, graph-analytical modeling. Results. Based on the processing of statistics on the delay of wagons due to commercial marriages with grain cargo in the seaport, the conditional division of detained wagons due to and, consequently, the duration of delay of wagons into long and short. The characteristics of random values of the delay of the car are established and the dependence of the number of detained cars on the value of the total car traffic with grain cargo entering the transshipment is obtained. For short-term delays it is a polynomial dependence of the second degree, for long-term delays it is characterized by exponential dependence. Based on research, an additional track capacity has been established for the sedimentation of detained cars and recommendations have been developed for the number of such tracks and their length. Based on the rationing of the duration of shunting operations with delayed wagons, an additional working fleet of shunting locomotives for servicing delayed wagons was determined and recommendations for the location of wagon scales for commercial weighing of wagons in the process of processing grain wagons in the port. Practical significance. The obtained results can be used to determine the number of tracks and the total capacity of grain terminals in seaports. The duration of additional shunting operations to service the detained cars allows to clarify the calculation of the required locomotive fleet of grain terminals.

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Ceccato, Riccardo. "Last mile distribution using cargo bikes: a simulation study in Padova." European Transport/Trasporti Europei, no. 90 (February 2023): 1–11. http://dx.doi.org/10.48295/et.2023.90.3.

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The recent growth of e-Commerce has induced an increasing freight demand, which could lead to negative externalities, in particular in urban areas. To foster sustainable development of cities and increase their livability, many local authorities are implementing urban vehicle access regulations, such as low-emission zones, banning the circulation of polluting vehicles. These measures prompted the adoption of new sustainable freight transport solutions for last mile deliveries, such as cargo bikes. The aim of this paper is to describe the study for the implementation of such a system. The procedure was tested (1) to define the location of a transshipment facility where parcels are moved from vans to cargo bikes, (2) to estimate the environmental and economic sustainability of the system, and (3) to quantify the effects of uncertainty in the final results. The framework was applied to the city center of Padova (Italy), where two sets of delivery system were considered: the first with traditional vans starting from an existing urban consolidation center and the second with manual and electric cargo bikes starting from a micro-depot. In particular, demand of home deliveries was estimated for a typical weekday; routes of freight transport means were defined by an optimization procedure; these data were used as input to a Discrete Event Simulation model. A sensitivity analysis was carried out modelling the potential uncertainty associated with load/unload times and travel speed of means, due to traffic congestion. Several scenarios were tested considering three locations as potential transshipment points. Outcomes of the simulations were used to estimate key performance indicators, evaluating the environmental and economic effects of the two delivery schemes. Results highlighted the potentiality of cargo bikes as a sustainable delivery system, and the impacts of uncertainty on the ranking of alternative options (i.e. micro-hubs).

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