Optimal Cooperative Ordering Policy for Spare Parts Inventory with Two Supply Modes

WANG Shen;LI Qing-min;LI Hua;RUAN Min-zhi

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  • Sponsored by: China Association for Science and Technology (CAST)

    Editor-In-Chief: Xu Yida

    ISSN 1000-1093

    　

  • Hosted By: China Ordnance Society

    Published By: Acta Armamentarii

    CN 11-2176/TJ

Acta Armamentarii, a Chinese monthly journal, was first published in 1979. The journal is supervised by China Association for Science and Technology, sponsored by China Ordnance Society，and edited and published by Editorial Board of Acta Armamentarii. The Journal is included in all important domestic databases，and also collected by Engineering Index (EI, USA), Chemical Abstracts (CA, USA), Science Abstracts (SA, UK）, Abstract Journal (AJ, Russia), and Current Bibliography on Science and Technology(CBST).Acta Armamentarii has been selected into the journal Of Ordnance Science and Technology (Weapons Industry) Field Of High Quality Scientific and Technological Periodical Classification Catalogue (2022 edition), ranking T1, and the journal of Automotive Engineering Field of High Quality Scientific and technological Periodical classification Catalogue, ranking T2.
Acta Armamentarii ›› 2015, Vol. 36 ›› Issue (2) : 337-344. DOI: 10.3969/j.issn.1000-1093.2015.02.022
Paper

Optimal Cooperative Ordering Policy for Spare Parts Inventory with Two Supply Modes

  • WANG Shen1,2， LI Qing-min3， LI Hua1， RUAN Min-zhi3
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Abstract

In order to satisfy the demands of inventory system on the spare parts, an emergency order is implemented to cover the shortage of regular order and reduce equipment downtime in case of stock-outs. A cooperative-ordering model, which takes compound fill rate as the constraints and expected cost per unit time as objective function,is established to solve the joint optimization problem for multi-location order policy in the two supply modes. A heuristic algorithm is developed to optimize the proposed model on basis of Lagrangian factor and policy-iteration algorithm. The Monte-Carlo simulation model is presented to prescribe the demand and order behaviors. The analytical model is compared with genetic-algorithm-optimized simulation model in a set of designed experiments. The results show the analytical model derives near-optimal solution and operates with high efficiency.

Key words

operations research / spare parts / cooperative order / inventory / optimization

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WANG Shen， LI Qing-min， LI Hua， RUAN Min-zhi. Optimal Cooperative Ordering Policy for Spare Parts Inventory with Two Supply Modes. Acta Armamentarii. 2015, 36(2): 337-344 https://doi.org/10.3969/j.issn.1000-1093.2015.02.022

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