Abstract
This paper presents a multi-criterion critical-to-life classification technique to supplement the cost and usage measures that are normally employed in hospital inventory management. A system dynamics model was developed employing (R, s, S) inventory control approach for a US private sector healthcare supply chain. Extensive simulation analyses were conducted to study the stock behaviour for low, medium and high usage critical-to-life items to maintain a range of service levels. The (R, s, S) design parameters were optimised according to the variability of item usage, the associated inventory level and supply lead-time. Our findings suggest that the proposed inventory classification technique allows for assigning a particular service level to each critical-to-life item to ensure its availability while minimising the cost and stock-out situations. The proposed simulation tool incorporating critical-to-life inventory classification facilitates hospital logistics managers to devise efficient inventory control strategies based on critical-to-life service level index.
| Original language | English |
|---|---|
| Pages (from-to) | 54-78 |
| Number of pages | 25 |
| Journal | International Journal of Intelligent Enterprise |
| Volume | 3 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 9 Dec 2015 |
| Externally published | Yes |
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Critical-to-life classification for managing inventory in a healthcare supply chain. / Al-Qatawneh, Lina; Hafeez, Khalid.
In: International Journal of Intelligent Enterprise, Vol. 3, No. 1, 09.12.2015, p. 54-78.Research output: Contribution to journal › Article
TY - JOUR
T1 - Critical-to-life classification for managing inventory in a healthcare supply chain
AU - Al-Qatawneh, Lina
AU - Hafeez, Khalid
PY - 2015/12/9
Y1 - 2015/12/9
N2 - This paper presents a multi-criterion critical-to-life classification technique to supplement the cost and usage measures that are normally employed in hospital inventory management. A system dynamics model was developed employing (R, s, S) inventory control approach for a US private sector healthcare supply chain. Extensive simulation analyses were conducted to study the stock behaviour for low, medium and high usage critical-to-life items to maintain a range of service levels. The (R, s, S) design parameters were optimised according to the variability of item usage, the associated inventory level and supply lead-time. Our findings suggest that the proposed inventory classification technique allows for assigning a particular service level to each critical-to-life item to ensure its availability while minimising the cost and stock-out situations. The proposed simulation tool incorporating critical-to-life inventory classification facilitates hospital logistics managers to devise efficient inventory control strategies based on critical-to-life service level index.
AB - This paper presents a multi-criterion critical-to-life classification technique to supplement the cost and usage measures that are normally employed in hospital inventory management. A system dynamics model was developed employing (R, s, S) inventory control approach for a US private sector healthcare supply chain. Extensive simulation analyses were conducted to study the stock behaviour for low, medium and high usage critical-to-life items to maintain a range of service levels. The (R, s, S) design parameters were optimised according to the variability of item usage, the associated inventory level and supply lead-time. Our findings suggest that the proposed inventory classification technique allows for assigning a particular service level to each critical-to-life item to ensure its availability while minimising the cost and stock-out situations. The proposed simulation tool incorporating critical-to-life inventory classification facilitates hospital logistics managers to devise efficient inventory control strategies based on critical-to-life service level index.
U2 - 10.1504/IJIE.2015.073491
DO - 10.1504/IJIE.2015.073491
M3 - Article
AN - SCOPUS:84951039310
VL - 3
SP - 54
EP - 78
JO - International Journal of Intelligent Enterprise
JF - International Journal of Intelligent Enterprise
SN - 1745-3232
IS - 1
ER -