Two stage heuristic algorithm for logistics network optimization of integrated location-routing-inventory

Wang, H. and Lim, M.K. (2018) Two stage heuristic algorithm for logistics network optimization of integrated location-routing-inventory. In: Wang, S., Price, M., Lim, M. K., Jin, Y., Luo, Y. and Chen, R. (eds.) Recent Advances in Intelligent Manufacturing. Series: Communications in computer and information science, 923. Springer: Singapore, pp. 209-217. ISBN 9789811323959 (doi: 10.1007/978-981-13-2396-6_19)

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Abstract

To reduce the cost of logistics, optimize logistics warehousing layout and logistics distribution efficiency, logistics network of the integrated location-routing-inventory was studied. In this paper, we present a model of integrated Location-Routing and Inventory problem (ILRIP) that considers the selection of warehouses location, the inventory of products, and vehicle routing. Aiming at the characteristics of proposed model, a two-stage optimization problem is designed, and two main objective functions are established to minimize the expected total cost of inventory and location selection and distribution costs with time windows. Considering multiple constraints, the multi-objective optimization problems is designed. We solve the developed mathematical model by genetic algorithm (GA), then we code in MATLAB, a case study is proposed to prove industrial practicality of the model.

Item Type:Book Sections
Additional Information:eISBN: 9789811323966.
Status:Published
Glasgow Author(s) Enlighten ID:Lim, Professor Ming
Authors: Wang, H., and Lim, M.K.
College/School:College of Social Sciences > Adam Smith Business School > Management
Publisher:Springer
ISBN:9789811323959

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