Academic literature on the topic 'Inventory routing problem'

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Journal articles on the topic "Inventory routing problem"

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Yang, Xianfeng, and Lei Feng. "Inventory Routing Problem." Transportation Research Record: Journal of the Transportation Research Board 2378, no. 1 (2013): 32–42. http://dx.doi.org/10.3141/2378-04.

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Aydın, Nevin. "A Genetic Algorithm on Inventory Routing Problem." EMAJ: Emerging Markets Journal 3, no. 3 (2014): 59–66. http://dx.doi.org/10.5195/emaj.2014.31.

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Inventory routing problem can be defined as forming the routes to serve to the retailers from the manufacturer, deciding on the quantity of the shipment to the retailers and deciding on the timing of the replenishments. The difference of inventory routing problems from vehicle routing problems is the consideration of the inventory positions of retailers and supplier, and making the decision accordingly. Inventory routing problems are complex in nature and they can be solved either theoretically or using a heuristics method. Metaheuristics is an emerging class of heuristics that can be applied
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Kazemi, Seyed Mahmood, Masoud Rabbani, Reza Tavakkoli-Moghaddam, and Farid Abolhassani Shahreza. "Blood inventory-routing problem under uncertainty." Journal of Intelligent & Fuzzy Systems 32, no. 1 (2017): 467–81. http://dx.doi.org/10.3233/jifs-152175.

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Archetti, Claudia, Nicola Bianchessi, Stefan Irnich, and M. Grazia Speranza. "Formulations for an inventory routing problem." International Transactions in Operational Research 21, no. 3 (2014): 353–74. http://dx.doi.org/10.1111/itor.12076.

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Coelho, Leandro C., Jean-François Cordeau, and Gilbert Laporte. "The inventory-routing problem with transshipment." Computers & Operations Research 39, no. 11 (2012): 2537–48. http://dx.doi.org/10.1016/j.cor.2011.12.020.

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Lei, Jun Cheng, Yan Peng Wu, and Wen Fei Zeng. "Optimization Approach for Multi-Stork Inventory Routing Problem." Advanced Materials Research 268-270 (July 2011): 1637–40. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1637.

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Inventory routing problem is one of the key issues to achieve integrated management of logistics. Solving this problem effectively, we can improve vehicle utilization, and reduce distribution costs. This paper, concerning the problem in inventory routing of multi-variety, multi-vendor to multi-customers, proposed heuristic algorithm based on greedy rules. The core strategy of the algorithm is to choose circularly the current lowest unit cost routine ---Hamilton delivery routes. Simulation shows that the algorithm reduces the unloaded ratio of truck, raises the efficiency of truck delivery and
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Diabat, Ali, Claudia Archetti, and Waleed Najy. "The Fixed-Partition Policy Inventory Routing Problem." Transportation Science 55, no. 2 (2021): 353–70. http://dx.doi.org/10.1287/trsc.2020.1019.

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In this paper, we formally introduce a variant of the inventory routing problem (IRP) that we call the fixed-partition policy IRP (FPP-IRP). In contrast to the classical IRP in which delivery routes are arbitrary, the FPP-IRP partitions customers into mutually exclusive clusters that are fixed throughout the optimization horizon, and distribution is performed separately for each cluster. By restricting the flexibility inherent in the classical IRP, the FPP-IRP attains many potential advantages. First, partitioning reduces the operational complexity of the system and allows a simpler organizati
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Aziz, Nur Arina Bazilah, and Choong Jing Yee. "Inventory Routing Problem with Carbon Emission Consideration." MATEMATIKA 35, no. 1 (2019): 39–49. http://dx.doi.org/10.11113/matematika.v35.n1.1127.

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Inventory Routing Problem (IRP) has been continuously developed and improved due to pressure from global warming issue particularly related to greenhouse gases (GHGs) emission. The burning of fossil fuel for transportations such as cars, trucks, ships, trains, and planes primarily emits GHGs. Carbon dioxide (CO2) from burning of fossil fuel to power transportation and industrial process is the largest contributor to global GHGs emission. Therefore, the focus of this study is on solving a multi-period inventory routing problem (MIRP) involving carbon emission consideration based on carbon cap a
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Ramkumar, N., P. Subramanian, T. T. Narendran, and K. Ganesh. "A hybrid heuristic for inventory routing problem." International Journal of Electronic Transport 1, no. 1 (2011): 45. http://dx.doi.org/10.1504/ijet.2011.043113.

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Bard, Jonathan F., and Narameth Nananukul. "The integrated production–inventory–distribution–routing problem." Journal of Scheduling 12, no. 3 (2008): 257–80. http://dx.doi.org/10.1007/s10951-008-0081-9.

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Dissertations / Theses on the topic "Inventory routing problem"

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Maqueo, Rodrigo Rubio. "Dynamic-stochastic vehicle routing and inventory problem." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/10593.

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Solyali, Oguz. "An Integrated Inventory Control And Vehicle Routing Problem." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/2/12606445/index.pdf.

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In this study, we consider a logistics system, in which a single supplier delivers a product to multiple retailers over a finite time horizon. Supplier decides on the amount to order in each period and services retailers facing deterministic dynamic demand via a fleet of vehicles having limited capacity. Each retailer has specific minimum and maximum levels of inventory in an order-up-to level inventory policy setting. The problem is to simultaneously determine the quantity of product to order to the supplier, retailers to be visited, the quantity of product to be delivered to retailers and ro
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Alisan, Onur. "The Multiple Retailer Inventory Routing Problem With Backorders." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/2/12609681/index.pdf.

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In this study we consider an inventory routing problem in which a supplier distributes a single product to multiple retailers in a finite planning horizon. Retailers should satisfy the deterministic and dynamic demands of end customers in the planning horizon, but the retailers can backorder the demands of end customers considering the supply chain costs. In each period the supplier decides the retailers to be visited, and the amount of products to be supplied to each retailer by a fleet of vehicles. The decision problems of the supplier are about when, to whom and how much to deliver products
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Ozlem, Pinar. "The Inventory Routing Problem With Deterministic Order-up-to Level Inventory Policies." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606444/index.pdf.

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This study is concerned with the inventory routing problem with deterministic, dynamic demand and order-up-to level inventory policy. The problem mainly arises in the supply chain management context. It incorporates simultaneous decision making on inventory management and vehicle routing with the purpose of gaining advantage from coordinated decisions. An integrated mathematical model that represents the features of the problem is presented. Due to the magnitude of the model, lagrangean relaxation solution procedures that identify upper bounds and lower bounds for the problem are develop
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Song, Jin-Hwa. "Inventory Routing Investigations." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5028.

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The elimination of distribution inefficiencies, occurring due to the timing of customers' orders is an important reason for companies to introduce vendor managed inventory programs. By managing their customers' inventories, suppliers may be able to reduce demand variability and therefore distribution costs. We develop technology to measure the effectiveness of distribution strategies. We develop a methodology that allows the computation of tight lower bounds on the total mileage required to satisfy customer demand over a period of time. As a result, companies will be able to gain insight into
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Zerman, Erel. "Multi-item Inventory-routing Problem For An Fmcg Company." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608927/index.pdf.

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In this study, inventory&ndash<br>routing system of a company operating in Fast Moving Consumer Goods (FMCG) industry is analyzed. The company has decided to redesign distribution system by locating regional warehouses between production plants and customers. The warehouses in the system are all allowed to hold stock without any capacity restriction. The customers are replenished by the warehouse to which they have been assigned. Customer stocks are continuously monitored by the warehouse and deliveries are to be scheduled. In this multi&ndash<br>item, two-echelon inventory&ndash<br>distributi
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TAVARES, DIEGO MOAH LOBATO. "EXACT AND HEURISTIC APPROACHES FOR INVENTORY ROUTING PROBLEM VARIANTS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35787@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Esta pesquisa trata de duas variantes do conhecido Problema de Roteirização de Veículos com Estoque (do inglês Inventory Routing Problem – IRP). O problema nasce num contexto de um sistema de Vendor Managed Inventory (VMI) no qual o fornecedor é responsável pela gestão de estoques do cliente. Tal problema é a junção dos problemas de transporte e gestão de estoques, que correspondem aos maiores custos em uma operação logística. Destarte este trabalho apresenta um modelo matemát
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Cabo, Nodar Marta. "Exact and approximate algorithms for the inventory routing problem." Thesis, University of Southampton, 2003. https://eprints.soton.ac.uk/50599/.

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In this thesis we develop exact and approximate algorithms for the inventory routing problem (IRP). The inventory routing problem is one of deciding an optimal delivery policy for a set of customers through a given planning period. Customers can hold inventory and do not need deliveries every day. Deliveries are carried out by a fleet of homogeneous vehicles that must be routed to travel a minimum distance while visiting all customers scheduled for that day. Decisions concern which customers to be visited and how much to deliver to each of them must be taken. A new formulation for the IRP is p
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Rahimi, Mohammad. "Inventory routing problem under dynamic, uncertain and green considerations." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI049/document.

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La gestion des stocks et la maîtrise de la distribution sont les deux activités importantes dans le management de la chaîne logistique. L’optimisation simultanée de ces deux activités est connue sous l’intitulé du problème de gestion de stock et de tournée de livraison (Inventory Routing Problem, IRP). L’IRP traditionnelle est confronté aux différents problèmes, causé principalement par le manque d'informations complètes et/ou temps réel, tels que les changements de la demande, l’embouteillage soudain causé par un accident, etc. Le partage et la mise à jour d'information logistique peut amélio
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Guerrero, Rueda William Javier. "Models and optimization methods for the inventory-location-routing problem." Thesis, Troyes, 2014. http://www.theses.fr/2014TROY0002/document.

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Cette thèse considère le problème consistant à intégrer les décisions de routage et stockage lors de la conception de la chaîne logistique. Le but est de sélectionner des dépôts parmi un ensemble de candidats pour desservir un ensemble de détaillants à l’aide d’une flotte de véhicules de capacité permettant visiter plus d’un détaillant par route. On cherche à déterminer la localisation de ces dépôts et les tournées des véhicules afin de maintenir leurs niveaux optimaux de stocks. La demande chez les détaillants est connue à l’avance. Des applications dans les domaines de la logistique humanitair
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Books on the topic "Inventory routing problem"

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Reiman, Martin I. Heavy traffic analysis of the dynamic stochastic inventory-routing problem. Sloan School of Management, Massachusetts Institute of Technology], 1996.

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Book chapters on the topic "Inventory routing problem"

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Campbell, Ann, Lloyd Clarke, Anton Kleywegt, and Martin Savelsbergh. "The Inventory Routing Problem." In Fleet Management and Logistics. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5755-5_4.

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Simić, Dragan, and Svetlana Simić. "Evolutionary Approach in Inventory Routing Problem." In Advances in Computational Intelligence. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38682-4_42.

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Jiao, Yang, and R. Ravi. "Inventory Routing Problem with Facility Location." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24766-9_33.

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Malekly, Hooman. "The Inventory Pollution-Routing Problem Under Uncertainty." In Green Logistics and Transportation. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17181-4_6.

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Al Shamsi, Ahmed, Ammar Al Raisi, and Muhammad Aftab. "Pollution-Inventory Routing Problem with Perishable Goods." In EcoProduction. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07287-6_42.

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Alkawaleet, Nasir, Yi-Fang Hsieh, and Yanxiang Wang. "Inventory Routing Problem with CO2 Emissions Consideration." In EcoProduction. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07287-6_44.

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Geiger, Martin Josef, and Marc Sevaux. "The Biobjective Inventory Routing Problem – Problem Solution and Decision Support." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21527-8_41.

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Touzout, Faycal A., Anne-Laure Ladier, and Khaled Hadj-Hamou. "Time-Dependent Travel-Time Constrained Inventory Routing Problem." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59747-4_10.

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Diniz, Pedro, Rafael Martinelli, and Marcus Poggi. "An Efficient Matheuristic for the Inventory Routing Problem." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53262-8_23.

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Yaşar Boz, Esra, Ahmet Reha Botsalı, and Tuba Ulusoy. "A New Approach to Location Routing Problem: Capacitated Periodic Location Routing Problem with Inventory." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62784-3_63.

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Conference papers on the topic "Inventory routing problem"

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Alves, Pedro Yuri A. L., Karina Valdivia Delgado, and Valdinei Freire da Silva. "Inventory Routing Problem with Time Windows." In the XIV Brazilian Symposium. ACM Press, 2018. http://dx.doi.org/10.1145/3229345.3229376.

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Cao, Jinxin, Jiachen Gao, Bing Li, and Xiangting Wang. "The Inventory Routing Problem: A Review." In 20th COTA International Conference of Transportation Professionals. American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482933.385.

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Phuaksaman, Chayathach, and Patcharapong Penpakkol. "Heuristics for Multi-Depot Inventory Routing Problem." In 2019 Research, Invention, and Innovation Congress (RI2C). IEEE, 2019. http://dx.doi.org/10.1109/ri2c48728.2019.8999895.

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Moin, Noor Hasnah, and Huda Zuhrah Ab Halim. "Solving inventory routing problem with stochastic demand." In PROCEEDING OF THE 25TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM25): Mathematical Sciences as the Core of Intellectual Excellence. Author(s), 2018. http://dx.doi.org/10.1063/1.5041635.

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Zheng, Weibo, and Hong Zhou. "Robust Inventory Routing Problem with Replenishment Lead Time." In 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2019. http://dx.doi.org/10.1109/ieem44572.2019.8978718.

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Wong, Lily, and Noor Hasnah Moin. "Enhanced ant colony optimization for inventory routing problem." In THE 22ND NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM22): Strengthening Research and Collaboration of Mathematical Sciences in Malaysia. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4932470.

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Ghani, Nor Edayu Abd, S. Sarifah Radiah Shariff, and Siti Meriam Zahari. "Optimization of location routing inventory problem with transshipment." In INTERNATIONAL CONFERENCE ON MATHEMATICS, ENGINEERING AND INDUSTRIAL APPLICATIONS 2014 (ICoMEIA 2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4915676.

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Zhenping Li, Lulu Jiang, and Chongyu Jiang. "An inventory routing problem with soft time windows." In 12th International Symposium on Operations Research and its Applications in Engineering, Technology and Management (ISORA 2015). Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/cp.2015.0614.

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Kawamura, T., T. Sato, and T. Shiina. "Multi-product Inventory Routing Problem Considering Demand Uncertainty." In 2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2022. http://dx.doi.org/10.1109/iiaiaai55812.2022.00123.

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Xie Binglei, An Shi, and Wang Jian. "Stochastic inventory routing problem under B2C e-commerce." In IEEE International Conference on e-Business Engineering (ICEBE'05). IEEE, 2005. http://dx.doi.org/10.1109/icebe.2005.112.

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Reports on the topic "Inventory routing problem"

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COLUMBIA UNIV NEW YORK. Analytical Analysis of Vehicle Routing and Inventory Routing Problems. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada358629.

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