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A combined inventory routing and game theory approach for a real-world distribution problem

Manel Mateo, El-Houssaine Aghezzaf, Pau Vinyes
2009 2009 International Conference on Computers & Industrial Engineering  
In this paper, we develop a solution approach combining inventory routing and game theory and discuss it application to solve a real-world distribution and logistics problem.  ...  The approach is implemented for a real-life case and the obtained results are reported and discussed in this paper.  ...  Application of Game Theory Game theory can be adapted to this distribution problem in order to maximize the sales opportunities of the company and to increase its revenues (Chan and Lee, 2005; Ghiani  ... 
doi:10.1109/iccie.2009.5223945 fatcat:rzhmq2kd2nchxks7p2tgdjvo7i

Gamification Teaching Reform for Higher Vocational Education in China: A case study on Layout and Management of Distribution Center

Fan Wang, Yanli Wang, Xia Hu
2017 International Journal of Emerging Technologies in Learning (iJET)  
Increasing proportions of gamifying teaching and experiencing teaching is an effective way to solve this problem.  ...  a course entitled Layout and Management of Distribution Center.  ...  This game can guide the students to understand the vehicle routing problem, explore the distribution route planning method, and master the saving algorithm.  ... 
doi:10.3991/ijet.v12i09.7493 fatcat:mydy2ecipfef5bz7ouzsif5oby

Heuristic evaluation of the characteristic function in the Cooperative Inventory Routing Game

Victor V. Zakharov, Viacheslav A. Shirokikh
2017 Journal on Vehicle Routing Algorithms  
To solve the multi-depot Inventory Routing Problem for each coalition, the Dynamic Adaptation procedure for Large Neighborhood Search (ALNS) is applied.  ...  Keywords Inventory routing problem (IRP) · Cooperative inventory routing game (CIRG)and Characteristic function · Heuristic algorithm · ALNS · Time consistency · Dynamic adaptive large neighborhood search  ...  Thus, the common approach to solve such a hard computational problem as IRP is to use a heuristic algorithm.  ... 
doi:10.1007/s41604-017-0003-0 fatcat:2ueeb2dscfhxtoufwjqrj6f2ja

Current Order and Inventory Models in Manufacturing Environments: A Review from 2008 to 2018

Zohreh Momeni, Amir Azizi
2018 International Journal of Online Engineering (iJOE)  
The purpose of this paper is to provide a review on critical problems and factors in order and inventory models under supply chain management.  ...  Results of this paper acknowledge that order management and inventory control can help decision makers and researchers in solving some problems in manufacturing industries.</p>  ...  models based on real-world applica-tions and handling computational aspects to solve large-sized problems.  ... 
doi:10.3991/ijoe.v14i06.8055 fatcat:i6d6duzh6vhqzgyctmhbgldqqa

Teaching distribution planning: a problem-based learning approach

Alex Grasas, Helena Ramalhinho
2016 International Journal of Logistics Management  
The main issue in PBL activities is finding authentic and representative problems to develop transferable skills, and nowadays most logistics problems are solved using DSS.  ...  Purpose -The aim of this paper is to present a problem-based learning (PBL) activity that uses a decision support system (DSS) to teach one of the most fundamental topics in distribution planning: vehicle  ...  Acknowledgments The authors are thankful to Guillem Gimenez and Jaquelina Ogea for their collaboration in the project, and to Stephen J. Childe and Desirée Knoppen for their invaluable feedback.  ... 
doi:10.1108/ijlm-05-2014-0075 fatcat:ignhwacmnjbtfdiqrq2y6hyyse


Keyu Lu, Huchang Liao, Edmundas Kazimieras Zavadskas
2021 Technological and Economic Development of Economy  
In this regard, many scholars applied fuzzy techniques to solve decision making problems in SCM.  ...  However, due to the complexity of evaluated objects and the cognitive limitations of individuals, the decision information given by experts is often fuzzy, which may make it difficult to make decisions  ...  Disclosure statement The authors have no competing financial, professional, or personal interests from other parties that are related to this paper.  ... 
doi:10.3846/tede.2021.14433 fatcat:62hlbeiukbeplnfnwxehbevs5y

Synthesizing Expert Systems and Operations Research Techniques: system classification and review

H. Raghav Rao, B. P. Lingaraj, Maithili Rao
1994 Australasian Journal of Information Systems  
This paper surveys the synthesis of ES and OR and discusses and classifies various expert systems that synthesize the two for managerial problem solving.  ...  Expert system (ES) and operations research (OR) nave many fundamental characteristics that can be used to completnent and supplement each other.  ...  ACKNOWLEDGEMENT The authors would like to thank Ariyapadi Krishnaraj of SUNY at Buffalo for his excellent research assistance.  ... 
doi:10.3127/ajis.v1i2.421 fatcat:yiy24h5nxvaazeetcweimszk74

Special issue on optimization with uncertain information: a perspective of soft computing

Yaodong Ni, Kai Yao, Xiangfeng Yang
2018 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.  ...  In the paper "A credibilistic goal programming model for inventory routing problem with hazardous materials," Hu et al. (2017) study a three-level supply chain problem with hazardous materials inventory  ...  distributions on the set of all real numbers.  ... 
doi:10.1007/s00500-018-3338-z fatcat:j2xey3wxizdnjfv4clucaju3t4

Advancements in Continuum Approximation Models for Logistics and Transportation Systems: 1996 - 2016 [article]

Sina Ansari, Mehmet Basdere, Xiaopeng Li, Yanfeng Ouyang, Karen Smilowitz
2017 arXiv   pre-print
Most studies use CA as an alternative to exact solution approaches; however, CA can also be used in combination with exact approaches. We also conclude with promising areas of future work.  ...  In this paper,we review recent studies that develop CA models for transportation, distribution and logistics problems with the aim of synthesizing recent advancements and identifying current research gaps  ...  Acknowledgement We woud like to thank Chrisitine Rhoades helped with collecting and summarizing some of the references.  ... 
arXiv:1706.05448v1 fatcat:vasl42e2hzeqxfx6vngnqjdp5q

The Vessel Schedule Recovery Problem (VSRP) – A MIP model for handling disruptions in liner shipping

Berit D. Brouer, Jakob Dirksen, David Pisinger, Christian E.M. Plum, Bo Vaaben
2013 European Journal of Operational Research  
EWO involves optimizing the operations of supply, production and distribution activities of a company to reduce costs and inventories.  ...  Multi-objective (MO) route selection problem is a combination of two combinatorial problems: MO shortest path problem (finding the efficient paths between the nodes to be visited) and MO traveling salesperson  ...  -Optimal Dynamic Tax Evasion: A Portfolio Approach Francesco Menoncin, Economics, Brescia University, Via S. Faustino, 74/B, 25122, Brescia, Italy,, Rosella Levaggi  ... 
doi:10.1016/j.ejor.2012.08.016 fatcat:c27kagfnxnhjfbil2rydhjhomm

Coupling soft computing, simulation and optimization in supply chain applications: review and taxonomy

Hanane El Raoui, Mustapha Oudani, Ahmed El Hilali Alaoui
2020 IEEE Access  
A review and taxonomy were performed to give an overview of the broad field of optimization/simulation approaches applied to solve supply chain problems.  ...  Our study may serve as a guide for researchers and practitioners to select the suitable technique to solve a problem and/or to identify the promising issues to be further explored.  ...  -Vehicle routing problem: Regarding logistics distribution, [108] used a simulation optimization approach for solving a practical Vehicle Routing Problem with Time Windows (VRPTW) for a distribution  ... 
doi:10.1109/access.2020.2973329 fatcat:lqlghzdqafd4zksd7ziwrvdjou

The Institute of Management Sciences Report of the Fifth Annual International Meeting

1959 Management science  
Ross, we have combined a graph theoretical approach with matrix theory and set theory to handle problems concerning redundancies, liaison persons, cliques, and strengthening and weaken- 340 FIFTH ANNUAL  ...  “THE COMBINED USE OF ANALYTIC, DYNAMIC PROGRAM, AND SIMULA- TION MODELS IN AN INVENTORY MANAGEMENT PROBLEM,” Herserr W.  ... 
doi:10.1287/mnsc.5.3.340 fatcat:sbtv53uxc5ccte6xxmhvju4sha


Marina Gorbina Tatiana Konovalenko
2019 Zenodo  
This article discusses the various modeling processes used to solve complex problems in management, to prevent significant difficulties and costs in conducting experiments in real life.  ...  Improving the management decision-making process and, accordingly, improving the quality of decisions made is possible through the use of a scientific approach, models and decision-making methods.  ...  The most common types of management science models are game theory, queuing theory models or optimal service models, inventory management models, linear programming models, simulation modeling, and economic  ... 
doi:10.5281/zenodo.3243560 fatcat:tmhqjmxkyrgyfeau3avh76jy7y

Simulation in manufacturing and business: A review

Mohsen Jahangirian, Tillal Eldabi, Aisha Naseer, Lampros K. Stergioulas, Terry Young
2010 European Journal of Operational Research  
The review is characterised by three factors: wide coverage, broad scope of the simulation techniques, and a focus on real-world applications.  ...  A structured methodology was followed to narrow down the search from around 20,000 papers to 281. Results include interesting trends and patterns.  ...  We would also like to thank Dr. Navonil Mustafee for his help with the methodology development and the implementation of the pilot literature-review.  ... 
doi:10.1016/j.ejor.2009.06.004 fatcat:73r4mtu2knbjdb2a3ivh7tlpem

Operations research - contemporary role in managerial decision making

2017 Journal of management and science  
However, for a large - scale system, both quantitative and qualitative (i.e. intuition, experience, common sense) analyses are required to make the most economical decisions.  ...  To survive and lead the today's highly competitive and demand drivenmarket, pressure is on management to make economic decisions.  ...  Theory, Inventory Control Models, Queuing Theory, Sequencing, Game Theory, Simulation, Replacement theory, Reliability, Markovian Models.  ... 
doi:10.26524/jms.2017.25 fatcat:li3yjf4ksre7fjduoz6t4k7l6q
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