Abstract
In this paper, we study an integrated distribution-transportation problem for raw material in supply chain management. A bi-level model is proposed for dealing with this distribution-transportation planning problem. In this hierarchical system, leader is the retailer who wants to maximize total profit and decides the selection for supply location. The follower is the distributor, who responses to these information and will decide the quantities of the raw material. Then, a bi-level decision procedure based genetic algorithm is employed to handle the bi-level model. A case will be presented to prove the effectiveness of the proposed model and algorithm.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Ang J, Fukushima M et al (2012) Establishing Nash equilibrium of the manufacturer-supplier game in supply chain management. J Glob Optim, 1–16
Farahani R, Elahipanah M (2008) A genetic algorithm to optimize the total cost and service level for just-in-time distribution in a supply chain. Int J Prod Econ 111:229–243
Fernandes L, Relvas S et al (2013) Strategic network design of downstream petroleum supply chains: single versus multi-entity participation. Chem Eng Res Des 91:1557–1587
Groba C, Sartal A et al (2015) Solving the dynamic traveling salesman problem using a genetic algorithm with trajectory prediction: an application to fish aggregating devices. Comput Ind Eng 56:22–32
Jin Y, Wang S, Hu Q (2015) Contract type and decision right of sales promotion in supply chain management with a capital constrained retailer. Eur J Oper Res 240:415–424
Khajavi S, Partanen J, Holmström J (2014) Additive manufacturing in the spare parts supply chain. Comput Ind 65:50–63
Lee H, Billington C (1993) Material management in decentralized supply chains. Oper Res 41:835–847
Lee H, Padmanabhan V, Whang S (2006) Information distortion in a supply chain: the bullwhip effect. Manag Sci 50:1875–1886
Mawdesley M, Al-Jibouri S (2003) Proposed genetic algorithms for construction site layout. Eng Appl Artif Intell 16:501–509
Tsoukalas A, Rustem B, Pistikopoulos E (2009) A global optimization algorithm for generalized semi-infinite, continuous minimax with coupled constraints and bi-level problems. J Glob Optim 44:235–250
Validi S, Bhattacharya A, Byrne P (2015) A solution method for a two-layer sustainable supply chain distribution model. Comput Oper Res 54:204–217
Xu J, Liu Q, Wang R (2008) A class of multi-objective supply chain networks optimal model under random fuzzy environment and its application to the industry of Chinese liquor. Inf Sci 178:2022–2043
Yun Y, Gen M, Seo S (2003) Various hybrid methods based on genetic algorithm with fuzzy logic controller. J Intell Manuf 14:401–419
Zhu Q, Sarkis J, Lai K (2015) Reprint of “supply chain-based barriers for truck-engine remanufacturing in China”. Trans Res Part E: Logist Trans Rev
Acknowledgments
This research has been supported by the Scientific Research Staring Foundation of Sichuan University, People Republic of China (Grant No. 2015SCU11034).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhao, S., Li, Z. (2015). Integrated Distribution-Transportation Planning for the Raw Material Supply Chain Management. In: Xu, J., Nickel, S., Machado, V., Hajiyev, A. (eds) Proceedings of the Ninth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47241-5_21
Download citation
DOI: https://doi.org/10.1007/978-3-662-47241-5_21
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-47240-8
Online ISBN: 978-3-662-47241-5
eBook Packages: EngineeringEngineering (R0)