An integrated location-inventory model for a spare part’s supply chain considering facility disruption risk and CO2 emission
Purpose: Managing the inventory of spare parts is very difficult because of the stochastic nature of part’s demand. Also, only controlling the inventory of the spare part is not enough; instead, the supply chain of the spare part needs to be managed efficiently. Moreover, every organization now aims...
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Format: | Article |
Language: | English |
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OmniaScience
2021-02-01
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Series: | Journal of Industrial Engineering and Management |
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Online Access: | http://www.jiem.org/index.php/jiem/article/view/3250 |
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author | Rubayet Karim Koichi Nakade |
author_facet | Rubayet Karim Koichi Nakade |
author_sort | Rubayet Karim |
collection | DOAJ |
description | Purpose: Managing the inventory of spare parts is very difficult because of the stochastic nature of part’s demand. Also, only controlling the inventory of the spare part is not enough; instead, the supply chain of the spare part needs to be managed efficiently. Moreover, every organization now aims to have a resilient and sustainable supply chain to overcome the risk of facility disruption and to ensure environmental sustainability. This paper thus aims to establish a model of inventory-location relating to the resilient supply chain network of spare parts.
Design/methodology/approach: First, applying queuing theory, a location-inventory model for a spare parts supply chain facing a facility disruption risk and has a restriction for CO2 emission, is developed. The model is later formulated as a non-linear mixed-integer programming problem and is solved using MATLAB.
Findings: The model gives optimal decisions about the location of the warehouse facility and the policy of inventory management of each location selected. The sensitivity analysis shows that the very low probability of facility disruption does not influence controlling the average emission level. However, the average emission level certainly decreases with the increment of the disruption probability when the facility disruption probability is significant.
Practical implications: Using this model, based on the cost and emission parameters and the likelihood of facility disruption, the spare part’s manufacturer can optimize the total average cost of the spare part’s supply chain through making a trade-off between productions, warehouse selection, inventory warehousing and demand allocation.
Originality/value: Previous research focuses only on developing a framework for designing an efficient spare parts planning and control system. The inventory-location model for spare parts is not addressed in the sense of risk of facilities disturbance and emission. This research first time jointly considered the probabilistic facility disruption risk and carbon emission for modeling the spare part’s supply chain network. |
first_indexed | 2024-12-13T16:22:25Z |
format | Article |
id | doaj.art-98224ea4d1694a4482b000db870c9e11 |
institution | Directory Open Access Journal |
issn | 2013-8423 2013-0953 |
language | English |
last_indexed | 2024-12-13T16:22:25Z |
publishDate | 2021-02-01 |
publisher | OmniaScience |
record_format | Article |
series | Journal of Industrial Engineering and Management |
spelling | doaj.art-98224ea4d1694a4482b000db870c9e112022-12-21T23:38:41ZengOmniaScienceJournal of Industrial Engineering and Management2013-84232013-09532021-02-011428711910.3926/jiem.3250622An integrated location-inventory model for a spare part’s supply chain considering facility disruption risk and CO2 emissionRubayet Karim0Koichi Nakade1Nagoya Institute of Technology, Nagoya, JapanNagoya Institute of Technology, Nagoya, JapanPurpose: Managing the inventory of spare parts is very difficult because of the stochastic nature of part’s demand. Also, only controlling the inventory of the spare part is not enough; instead, the supply chain of the spare part needs to be managed efficiently. Moreover, every organization now aims to have a resilient and sustainable supply chain to overcome the risk of facility disruption and to ensure environmental sustainability. This paper thus aims to establish a model of inventory-location relating to the resilient supply chain network of spare parts. Design/methodology/approach: First, applying queuing theory, a location-inventory model for a spare parts supply chain facing a facility disruption risk and has a restriction for CO2 emission, is developed. The model is later formulated as a non-linear mixed-integer programming problem and is solved using MATLAB. Findings: The model gives optimal decisions about the location of the warehouse facility and the policy of inventory management of each location selected. The sensitivity analysis shows that the very low probability of facility disruption does not influence controlling the average emission level. However, the average emission level certainly decreases with the increment of the disruption probability when the facility disruption probability is significant. Practical implications: Using this model, based on the cost and emission parameters and the likelihood of facility disruption, the spare part’s manufacturer can optimize the total average cost of the spare part’s supply chain through making a trade-off between productions, warehouse selection, inventory warehousing and demand allocation. Originality/value: Previous research focuses only on developing a framework for designing an efficient spare parts planning and control system. The inventory-location model for spare parts is not addressed in the sense of risk of facilities disturbance and emission. This research first time jointly considered the probabilistic facility disruption risk and carbon emission for modeling the spare part’s supply chain network.http://www.jiem.org/index.php/jiem/article/view/3250spare part’s supply chain network, location-inventory problem, queuing theory, facility disruption probability, co2 emission |
spellingShingle | Rubayet Karim Koichi Nakade An integrated location-inventory model for a spare part’s supply chain considering facility disruption risk and CO2 emission Journal of Industrial Engineering and Management spare part’s supply chain network, location-inventory problem, queuing theory, facility disruption probability, co2 emission |
title | An integrated location-inventory model for a spare part’s supply chain considering facility disruption risk and CO2 emission |
title_full | An integrated location-inventory model for a spare part’s supply chain considering facility disruption risk and CO2 emission |
title_fullStr | An integrated location-inventory model for a spare part’s supply chain considering facility disruption risk and CO2 emission |
title_full_unstemmed | An integrated location-inventory model for a spare part’s supply chain considering facility disruption risk and CO2 emission |
title_short | An integrated location-inventory model for a spare part’s supply chain considering facility disruption risk and CO2 emission |
title_sort | integrated location inventory model for a spare part s supply chain considering facility disruption risk and co2 emission |
topic | spare part’s supply chain network, location-inventory problem, queuing theory, facility disruption probability, co2 emission |
url | http://www.jiem.org/index.php/jiem/article/view/3250 |
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