Joint replenishment policy with backordering and special sale

2013 ◽  
Vol 46 (7) ◽  
pp. 1172-1198 ◽  
Author(s):  
Ata Allah Taleizadeh ◽  
Hadi Samimi ◽  
Babak Mohammadi
2018 ◽  
Vol 20 (3) ◽  
pp. 1665-1684 ◽  
Author(s):  
Young Hyeon Yang ◽  
Jong Soo Kim

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Wen-Tsung Ho

This work investigates the joint replenishment problem (JRP) involving multiple items where economies exist for replenishing several items simultaneously. The demand rate for each item is known and constant. Shortages are not permitted and lead times are negligible. Many heuristic algorithms have been proposed to find quality solutions for the JRP. In this paper, cycle time division and recursive tightening methods are developed to calculate an efficient and optimal replenishment policy for JRP. Two theorems are demonstrated to guarantee that an optimal solution to the problem can be derived using cycle time division and recursive tightening methods. Restated, cycle time division and recursive tightening methods theoretically yield the optimal solution in 100% of instances. The complexity of cycle time division and recursive tightening methods is justO(NlogN), whereNrepresents the number of items involved in the problem. Numerical examples are included to demonstrate the algorithmic procedures.


OR ◽  
1968 ◽  
Vol 19 (2) ◽  
pp. 203
Author(s):  
J. F. Waddington

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