PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2019 | 10 | nr 1 | 14--28
Tytuł artykułu

Dry Port as a Lean And Green Strategy in a Container Terminal Hub: a Mathematical Programming Model

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Maritime freight transport represents an effective solution, allowing to ensure a low-impact service both under an economic and a sustainable perspective. As a consequence, in the last ten years, an increasing trend of goods transported by sea has been observed. In order to improve the terminal containers' performance, recently published scientific studies shown the applicability of the 'lean logistic' concept as a strategic key for ensuring a continuous improvement of the logistic chain for inter-/intra terminal containers' activities. According to this approach, the adoption of a dry port can positively affect terminal containers' performance, but this requires resources and investments due to inter-terminal activities (e.g. transport of the container from port to dry port and vice versa). The purpose of the study is to develop a mathematical programming optimization model to support the decision making in identifying the best containers' handling strategy for intermodal facilities, according to lean and green perspectives. Numerical experiments shown the effectiveness of the model in identifying efficient material handling strategies under lean and green perspective.(original abstract)
Rocznik
Tom
10
Numer
Strony
14--28
Opis fizyczny
Twórcy
  • Polytechnic University of Bari, Italy
  • Polytechnic University of Bari, Italy
  • Polytechnic University of Bari, Italy
Bibliografia
  • Meersman H., Van de Voorde E., Vanelslander T., Port congestion and implications to maritime lo-gistics, Maritime Logistics: Contemporary Issues, Dong-Wook Song and Photis Panayides, Eds. Emer-ald, pp. 49-63, 2012.
  • Ugochukwu P., Engström J., Langstrand J., Lean in the supply chain: a literature review, Management and Production Engineering Review, 2013, 3, 4, 87- 96, 2013.
  • Maleki M., Cruz-Machado V., An empirical review on supply chain integration, Management and Pro-duction Engineering Review, 2013, 4, 1, 85-96, 2013.
  • OECD, Capacity to Grow: Transport Infrastruc-ture Needs for Future Trade Growth, Internation-al Transport Forum: Corporate Partnership Board, 2016.
  • OECD, National Accounts of OECD Countries 2010, Main Aggregates, OECD Publishing, Paris, vol. 1, 2011.
  • Roso V., Woxenius J., Lumsden K., The dry port concept: connecting container seaports with the hinterland, Journal of Transport Geography, 17, 5, 338345, 2009.
  • Facchini F., Boenzi F., Digiesi S., Mummolo G., A model-based Decision Support System for multiple container terminals hub management, Producao, 28, e20170074, 2018.
  • Crainic T.G., Dell'Olmo P., Ricciardi N., Sgalam- bro A., Modeling dry-port-based freight distribution planning, Transportation Research Part C: Emerging.
  • Esmer S., Cetin I.B., Tuna O., A Simulation for Optimum Terminal Truck Number in a Turkish Port Based on Lean and Green Concept, The Asian Journal of Shipping and Logistics, 26, 2, 277-296, 2010.
  • Chandrakumara C., Gowrynathan J., Kulatungaa A.K., Sanjeevanb N., Incorporate LEAN and Green Concepts to Enhance the Productivity of Transshipment Terminal Operations, Procedia CIRP, 40, 301306, 2016.
  • Womack J., Jones D. Lean Thinking: Banish Waste and Create Wealth in Your Organisation, Simon and Shuster, Eds. New York, pp. 397, 1996.
  • Womack J., Jones D.T., Roos D. Machine That Changed the World: The Story of Lean Production, Productivity Press, 1991.
  • Olesen D., Powell D., Hvolby H.H., Fraser K., Using lean principles to drive operational improvements in intermodal container facilities: a conceptual framework, Journal of Facilities Management, 13, 3, 266281, 2015.
  • Notteboom T., Rodrigue J.-P., Port regionalization: towards a new phase in port development, Maritime Policy & Management, 32, 3, 297, 2005.
  • Garza-Reyes J.A., Lean and Green - A systematic review of the state of the art literature, Journal of Cleaner Production, 102, 18-29, 2015.
  • de Oliveira Neto G.C., Lucato W.C., Production planning and control as a tool for eco-efficency improvement and environmental impact reduction, Production, Planning & Control, 27, 3, 148-156, 2016.
  • Parveen C.M., Kumar A.R.P., Narasimha Rao T.V.V.L., Integration of lean and green supply chain - impact on manufacturing firms in improving environmental efficiencies, International Conference on Green Technology and Environmental Conservation (GTEC), Chennai, India, December 15-17, pp. 143147, 2011.
  • Mason R., Nieuwenhuis P., Simons D., Lean and green supply chain mapping: adapting a lean man-agement tool to the needs of industrial ecology, Progress in Industrial Ecology: An International Journal, 5, 4, 302-324, 2008.
  • Garza-Reyes J.A., Villarreal B., Kuma V., Ruiz P.M., Lean and Green in the Transport and Logistics Sector - A Case Study of Simultaneous Deployment, Production Planning & Control: The Management of Operations, 27, 15, 1221-1232, 2016.
  • Carlo H.J., Vis I.F.A., Roodbergen K.J., Seaside operations in container terminals: literature overview, trends, and research directions, Flexible Services and Manufacturing Journal, 27, 224-262, 2015.
  • Bierwirth C., Meisel F., A follow-up survey of berth allocation and quay crane scheduling problems in container terminals European Journal of Operational Research, 244, 675-689, 2015.
  • Iris C., Pacino D., R0pke S., Larsen A., Integrated Berth Allocation and Quay Crane Assignment Prob-lem: Set partitioning models and computational results, Transportation Research Part E: Logistics and Transportation Review, 81, 75-97, 2015.
  • Türkogullari Y.B., Taskin Z.C., Aras N., Altinel I.K., Optimal berth allocation, time-variant quay crane assignment and scheduling with crane setups in container terminals, European Journal of Oper-ational Research, 254, 985-1001, 2016.
  • Agra A., Oliveira M., MIP approaches for the integrated berth allocation and quay crane assignment and scheduling problem, European Journal of Operational Research, 264, 138-148, 2018.
  • Venturini G., Iris C., Kontovas C.A., Larsen A., The multi-port berth allocation problem with speed optimization and emission considerations, Transportation Research Part D: Transport and Environment, 54, 142-159, 2017.
  • Steenken D., Vob S., Stahlbock R., Container terminal operation and operations research - a classi-fication and literature review, OR Spectrum, 26, 1, 3-49, 2004.
  • Carlo H.J., Vis I.F.A., Roodbergen K.J., Transport operations in container terminals: literature overview, trends, research directions and classification scheme, European Journal of Operational Research, 236, 1-13, 2014.
  • Zhen L., A Review on Yard Management in Container Terminals, Industrial Engineering & Manage-ment Systems, 12, 4, 289-305, 2013.
  • Carlo H.J., Vis I.F.A., Roodbergen K.J., Storage yard operations in container terminals: Literature overview, trends, and research directions, European Journal of Operational Research, 235, 412430, 2014.
  • Chen L., Langevin A., Lu Z., Integrated scheduling of crane handling and truck transportation in a maritime container terminal, European Journal of Operational Research, 225, 142-152, 2013.
  • He J., Huang Y., Yan W., Wang S., Integrated internal truck, yard crane and quay crane scheduling in a container terminal considering energy consumption, Expert Systems with Applications, 42, 5, 24642487, 2015.
  • Sha M., Zhang T., Lan Y., Zhou X., Qin T., Yu D., Chen K., Scheduling optimization of yard cranes with minimal energy consumption at container terminals, Computers & Industrial Engineering, 113, 704-713, 2017.
  • Wang Y., Jiang X., Lee L.H., Chew E.P., Tan K.C., Tree based searching approaches for integrated vehicle dispatching and container allocation in a transshipment hub, Expert Systems with Applications, 74, 139-150, 2017.
  • Gharehgozli A.H., Vernooij F.G., Zaerpour N., A simulation study of the performance of twin auto-mated stacking cranes at a seaport container terminal, European Journal of Operational Research, 261, 108-128, 2017.
  • Niu B., Xie T., Tan L., Bi Y., Wang Z., Swarm intelligence algorithms for Yard Truck Scheduling and Storage Allocation Problems, Neurocomputing, 188, 284-293, 2016.
  • Lin D-Y., Chiang C-W., The Storage Space Allocation Problem at a Container Terminal, Maritime Policy & Management, 44, 6, 1-20, 2017.
  • Le X.T., Knust S., MIP-based approaches for robust storage loading problems with stacking constraints, Computers & Operations Research, 78, 138-153 2017.
  • Dkhil H., Yassine A., Chabchoub H., Multi-objective optimization of the integrated problem of location assignment and straddle carrier scheduling in maritime container terminal at import, Journal of the Operational Research Society, 69, 2, 247-269, 2018.
  • Boysen N., Emde S., The parallel stack loading problem to minimize blockages, European Journal of Operational Research, 24, 618-627, 2016.
  • Ahmt J., Sigtenbjerggaard J.S., Lusby R.M., Larsen J., Ryan D. A new approach to the Container Positioning Problem, Flexible Services and Manufacturing Journal, 28, 617-643, 2016.
  • Gupta A., Roy D., de Kostner R., Parhi S., Optimal Stack Layout in a Sea Container Terminal with Automated Lifting Vehicles, International Journal of Production Research, 55, 13, 3747-3765, 2017.
  • Legato P., Mazza R.M., A simulation model for designing straddle carrierbased container terminals, Proceedings of the 2017 Winter Simulation Conference, 3-6 Dec. 2017, Las Vegas, NV, USA.
  • Gharehgozli A., Zaerpour N., Stacking outbound barge containers in an automated deep-sea termi-nal, European Journal of Operational Research, 267, 977-995, 2018.
  • Phan M-H., Kim K.H., Negotiating truck arrival times among trucking companies and a container terminal, Transportation Research Part E: Logistics and Transportation Review, 75, 132-144, 2015.
  • Phan M-H., Kim K.H., Collaborative truck scheduling and appointments for trucking companies and container terminals, Transportation Research Part B: Methodological, 86, 37-50, 2016.
  • Zhang X., Zeng Q., Yang Z., Optimization of truck appointments in container terminals, Maritime Economics & Logistics, in press.
  • Saglam B.B., Esmer S., Ates A., The dry ports: a review of the concept and its applications in Turkey, Proceeding of the European Conference on Shipping, Intermodalism and Ports (Econship), 24-27 June 2015, Yunanistan.
  • Nguyen L.C., Notteboom T., A Multi-Criteria Approach to Dry Port Location in Developing Economies with Application to Vietnam, The Asian Journal of Shipping and Logistics, 32, 1, 23-32, 2016.
  • Komchornrit K., The Selection of Dry Port Location by a Hybrid CFA-MACBETH-PROMETHEE Method: A Case Study of Southern Thailand, The Asian Journal of Shipping and Logistics, 33, 3, 141153, 2017.
  • Digiesi S., Mossa G., Mummolo G., Supply lead time uncertainty in a sustainable order quantity inventory model, Management and Production Engineering Review, 4, 4, 15-27, 2013.
  • Digiesi S., Mossa G., Rubino S., A sustainable EOQ model for repairable spare parts under uncertain demand, IMA Journal of Management Mathematics, 26, 2, 185-203, 2015.
  • Boenzi F., Digiesi S., Facchini F., Mossa G., Mum- molo G., Greening activities in warehouses: A model for identifying sustainable strategies in material handling, Annals of DAAAM and Proceedings of the XXVI International DAAAM Symposium, pp. 980-988, 2015.
  • Boenzi F., Digiesi S., Facchini F., Mossa G., Mummolo G., Sustainable warehouse logistics: A NIP model for non-road vehicles and storage configuration selection, 20th Summer School "Francesco Turco", pp. 263-270, 2015.
  • Facchini F., Mummolo G., Mossa G., Digiesi S., Boenzi F., Verriello R., Minimizing the carbon foot-print of material handling equipment: Comparison of electric and LPG forklifts, Journal of Industrial Engineering and Management, 9, 5, 1035-1046, 2016.
  • Digiesi S., Mascolo G., Mossa G., Mummolo G., New models for sustainable logistics: Internalization of external costs in inventory management: Internalization of External Costs in Inventory Management, Part of the SpringerBriefs in Operations Management book series, Eds. Springer, Cham, 2016.
  • Ranieri L., Digiesi S., Silvestri B., Roccotelli M., A review of last mile logistics innovations in an ex-ternalities cost reduction vision, Sustainability, 10, 3, 782, 2018.
  • Hakam M.H., Solvang W.D., Container Ports Sustainability - A Literature Review, Proceedings of 4th IEEE International Conference on Cognitive Infocommunications, Budapest, December 2-5, 2013.
  • Konstantzos G.E., Saharidis G.K.D., Loizidou M., Development of a model for assessing Greenhouse Gas (GHG) emissions from terminal and drayage operations, Operational Research, 17, 3, 807-819, 2017.
  • Yu H., Ying-en G., Jihong C., Lihua L., Caimao T., Ding L., CO2 emission evaluation of yard tractors during loading at container terminals, Transportation Research Part D: Transport and Environment, 53, 17-36, 2017.
  • Saharidis G.K.D., Konstantzos G.E., Critical overview of emission calculation models in order to evaluate their potential use in estimation of Greenhouse Gas emissions from in port truck operations, Journal of Cleaner Production, 185, 1024-1031, 2018.
  • Sim J., A carbon emission evaluation model for a container terminal, Journal of Cleaner Production, 186, 526-533, 2018.
  • Peng Y., Wang W., Liu K., Li X., Tian Q., The Impact of the Allocation of Facilities on Reducing Carbon Emissions from a Green Container Terminal Perspective, Sustainability, 10, 6, 1813, 2018.
  • Dulebenets M.A., The green vessel scheduling problem with transit time requirements in a liner ship-ping route with Emission Control Areas, Alexandria Engineering Journal, 57, 331-342, 2018.
  • Innes A., Monios J., Identifying the unique challenges of installing cold ironing at small and medium ports - The case of Aberdeen, Transportation Research Part D: Transport and Environment, 62, 298-313, 2018.
  • Zhu L., Qin C., Peng C., Analysis on energy saving and emission reduction of clean energy technology in ports, IOP Conference Series: Earth and Environmental Science, vol. 121, 2018.
  • Awad-Nunez S., Gonzaelez-Cancelas N., Camarero- Orive A., Application of a model based on the use of DELPHI methodology and Multicriteria Analysis for the assessment of the quality of the Spanish Dry Ports location, Procedia - Social and Behavioral Sciences, 162, 42-50, 2014.
  • Wei H., Sheng Z., Dry ports-seaports sustainable logistics network optimization: considering the environment constraints and the concession cooperation relationships, Polish Maritime Research Special Issue, 24, 143-151, 2017.
  • Paixao A.C., Marlow P.B., Fourth generation ports - a question of agility?, International Journal of Physical Distribution & Logistics Management, 33, 4, 355-376, 2003.
  • Ulewicz R., Jelonek D., Mazur M., Implementation of Logic Flow in Planning and Production Control, Management and Production Engineering Review, 7, 1, 89-94, 2016.
  • Marlow P.B., Paixao Casaca A.C., Measuring lean ports performance, International Journal of Transport Management, 1, 4, 189-202, 2003.
  • Wang T.-F., Cullinane K., The Efficiency of European Container Terminals and Implications for Sup-ply Chain Management, Maritime Economics & Logistics, 8, 82-99, 2006.
  • Murty K.G., Liu J., Wan Y., Linn R., A decision support system for operation in a container terminal, Decision Support System, 39, 309-332, 2005.
  • Brinkmann B., Operations Systems of Container Terminals: A compendious Overview, Handbook of Terminal Planning, Bose, Eds. Jurgen W., 25-39, 2011.
  • Kim K.H., Evaluation of the number of rehandles in container yards, Computers & Industrial Engineering, 32, 4, 701-711, 1997.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171550771

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.