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. 2021 Mar 20;304(1):339–352. doi: 10.1016/j.ejor.2021.03.030

Table 5.

Notations used in model.

I Forecast horizon.
N Time period for which inventory model is valid.
V Node set in a supply chain network.
|V| Cardinality of the set V.
n Time period such that nN.
Fn(n+i) Demand forecast in period n for the period n+i.
d^n Estimated demand in the period n.
v Node in supply chain network.
ΔFn(n+i) Forecast deviation in the period n for period n+i.
E[ΔFn(n)] Expected value forecast deviation over forecast horizon Inn.
tv Node processing lead time.
ωv,v Service time of the node v for node v.
λv,[v,v] Inventory replenishment time of node v when node v and node v are its predecessor node and successor node respectively on a specific path.
vs NVS node.
vd PHC node.
Vd Set of demand node such that vdVd.
pvd Path connecting the demand node vd .
lvpvd Lead time for the node v for the path pvd.
d^vnpvd Estimated demand at the node vth at time n due to lead time along the path pvd.
P Set of all valid path in the supply chain network.
d^vΩnpvd Estimated demand at the node vth at time n due to lead time along the path pvd in disruption scenario Ω.
D^vn Cumulative demand at the node v in the nth time period.
D^vΩn Cumulative demand at the node v in thenth time period in disruption scenario Ω.
in(v) Set of nodes in the higher echelon connected to node v .
out(v) Set of nodes in the lower echelon connected to node v .
Qvz Maximum order that can be placed by node v at node z such that zin(v)
Qvnz Actual order size by the node v to the node z at nthtime period.
jv Age of the inventory when at the node v.
Su Set of initial supply nodes.
Invjvn Number of jv aged inventory at the node v at nth time period.
INvn Total inventory at the node v at nth time period of all ages.
INvΩn Total inventory at the node v at nth time period of all ages in disruption scenario Ω.
qzvjvn Number of jv age inventories in the order Qvnz.
ρv Ordering cost of the node v.
IN*vΩn Total inventory at the node v at nth time period of all ages when all the nodes place maximum orders after the initiation of disruption scenario Ω.
hv Inventory holding cost at the node v.
hv Excess inventory holding cost at the node v.
Ovnz Binary variable whose value depends on whether an order is placed by node v to the node v such that zin(v).
Spv Space available for inventory storage at node v.
Spv Total additional space available at node v by incurring extra cost for allocating strategic inventory reserves.
bvnzjvpvd Binary value variable whose value depend on whether any jv age inventories supplied by node z to node v in time period n has been allocated to path pvd such that zin(v).
Ψ Expiration constant in terms of number of time periods.
S Disruption scenario set.
S Set of critical disruption scenarios.
Ω Disruption scenario such that ΩS.
δvΩ Disruption recovery time for the node v for the disruption scenario Ω.
lvΩpvd Lead time of the node v for the path pvd in disruption scenario Ω.
Ω No disruption scenario.
TΩ Time period at which disruptionΩ is initiated.
yvΩ Binary variable (0,1) whose value depends on whether a node v has been disrupted in scenario Ω.
qv Total strategic inventory reserve allocated at node v.
q*vd Maximum strategic inventory reserve to be allocated on the path connectingvd.
lvΩpvd Lead time of the node v for the pathpvd in disruption scenario Ω.
Cv Fixed cost of creating an excess fixed inventory space from Spv to Spv.
α Design parameter for service level.
M Large number (Model constant).
Kvdv Maximum service level loss at the demand node vd due to disruption at the node v.
ηH1 Efficiency of heuristic H1.
Φvz Transportation cost per unit from zth node to vth node