Tabu search heuristic for inventory routing problem with stochastic demand and time windows

  • Meilinda Fitriani Nur Maghfiroh Universitas Islam Indonesia
  • Anak Agung Ngurah Perwira Redi Sampoerna University
https://doi.org/10.30656/jsmi.v6i2.4813
Abstract views: 377 , PDF downloads: 2208
Keywords: Inventory routing problem, Stochastic demand, Time windows, Tabu search, Variable neighborhood descent

Abstract

This study proposes the hybridization of tabu search (TS) and variable neighbourhood descent (VND) for solving the Inventory Routing Problems with Stochastic Demand and Time Windows (IRPSDTW). Vendor Managed Inventory (VMI) is among the most used approaches for managing supply chains comprising multiple stakeholders, and implementing VMI require addressing the Inventory Routing Problem (IRP). Considering practical constraints related to demand uncertainty and time constraint, the proposed model combines multi-item replenishment schedules with unknown demand to arrange delivery paths, where the actual demand amount is only known upon arrival at a customer location with a time limit. The proposed method starts from the initial solution that considers the time windows and uses the TS method to solve the problem. As an extension, the VND is conducted to jump the solution from its local optimal. The results show that the proposed method can solve the IRPSDTW, especially for uniformly distributed customer locations.

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Published
2022-11-23
How to Cite
[1]
M. F. N. Maghfiroh and A. A. N. P. Redi, “Tabu search heuristic for inventory routing problem with stochastic demand and time windows”, j. sist. manaj. ind., vol. 6, no. 2, pp. 111-120, Nov. 2022.
Issue
Vol. 6 No. 2 (2022): December
Section
Research Article

Copyright (c) 2022 Meilinda Fitriani Nur Maghfiroh, Anak Agung Ngurah Perwira Redi

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