The inventory-routing problem subject to vehicle failure

•Introducing the concept of vehicle failure to the inventory-routing problems and modelling it.•Applying an adapted social-based algorithm with four scenarios to solve the model.•Embedding the “global war” procedure to in the algorithm to escape from local optima.•Suggesting a lower bound to improve...

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Published in	Transportation research. Part E, Logistics and transportation review Vol. 126; pp. 254 - 294
Main Authors	Jafarian, Ahmad, Asgari, Nasrin, Mohri, Seyed Sina, Fatemi-Sadr, Elham, Farahani, Reza Zanjirani
Format	Journal Article
Language	English
Published	Elsevier Ltd 01.06.2019
Subjects	Inventory management Meta-heuristic Time windows Vehicle failure Vehicle routing Inventory management Time windows Vehicle failure Meta-heuristic Vehicle routing
Online Access	Get full text
ISSN	1366-5545 1878-5794
DOI	10.1016/j.tre.2019.04.009

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Abstract	•Introducing the concept of vehicle failure to the inventory-routing problems and modelling it.•Applying an adapted social-based algorithm with four scenarios to solve the model.•Embedding the “global war” procedure to in the algorithm to escape from local optima.•Suggesting a lower bound to improve the validation process.•Providing insights for practitioners and academic related to this problem. The problem of vehicle failure is introduced to the field of inventory-routing problems and formulated. Since the model is NP-hard, we have designed an adapted social-based algorithm with four scenarios to solve it. We have embedded the “global war” procedure into the algorithm to reduce the chance of being trapped in local optimum and premature convergence. For validation, the following benchmarking methods are enlisted: (i) comparing with four other metaheuristic algorithms which are all calibrated and their effectiveness and efficiency evaluated; (ii) comparing with a suggested lower-bound. Sensitivity analyses of the algorithm provide insights for academics and practitioners.
AbstractList	•Introducing the concept of vehicle failure to the inventory-routing problems and modelling it.•Applying an adapted social-based algorithm with four scenarios to solve the model.•Embedding the “global war” procedure to in the algorithm to escape from local optima.•Suggesting a lower bound to improve the validation process.•Providing insights for practitioners and academic related to this problem. The problem of vehicle failure is introduced to the field of inventory-routing problems and formulated. Since the model is NP-hard, we have designed an adapted social-based algorithm with four scenarios to solve it. We have embedded the “global war” procedure into the algorithm to reduce the chance of being trapped in local optimum and premature convergence. For validation, the following benchmarking methods are enlisted: (i) comparing with four other metaheuristic algorithms which are all calibrated and their effectiveness and efficiency evaluated; (ii) comparing with a suggested lower-bound. Sensitivity analyses of the algorithm provide insights for academics and practitioners.
Author	Fatemi-Sadr, Elham Mohri, Seyed Sina Asgari, Nasrin Jafarian, Ahmad Farahani, Reza Zanjirani
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Snippet	•Introducing the concept of vehicle failure to the inventory-routing problems and modelling it.•Applying an adapted social-based algorithm with four scenarios...
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SubjectTerms	Inventory management Meta-heuristic Time windows Vehicle failure Vehicle routing
Title	The inventory-routing problem subject to vehicle failure
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