On technical note : Solving inventory models by algebraic method

2021 ◽  
Vol 24 (7) ◽  
pp. 1533-1541
Author(s):  
Cenk Çalışkan
2018 ◽  
Vol 200 ◽  
pp. 130-133 ◽  
Author(s):  
Xu-Ren Luo ◽  
Chih-sheng Chou

2020 ◽  
Vol 68 (5) ◽  
pp. 1576-1584 ◽  
Author(s):  
Alexander Shapiro ◽  
Linwei Xin

The authors extend previous studies of time inconsistency to risk averse (distributionally robust) inventory models and show that time inconsistency is not unique to robust multistage decision making, but may happen for a large class of risk averse/distributionally robust settings. In particular, they demonstrate that if the respective risk measures are not strictly monotone, then there may exist infinitely many optimal policies which are not base-stock and not time consistent. This is in a sharp contrast with the risk neutral formulation of the inventory model where all optimal policies are base-stock and time consistent.


2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Daniel Yi-Fong Lin

Several researchers applied the algebraic method to solve the optimal solution of EOQ and EPQ models with linear and fixed backorder costs. However, there are questionable derivations in their solution procedure such that researchers provided further examinations. We study two papers that are considered the same inventory models under different notation and slightly different objective functions to provide detailed discussions for their questionable results and our improvements.


1983 ◽  
Vol 31 (5) ◽  
pp. 957-965 ◽  
Author(s):  
Awi Federgruen ◽  
Zvi Schechner

2020 ◽  
Vol 68 (4) ◽  
pp. 1063-1073 ◽  
Author(s):  
Jinzhi Bu ◽  
Xiting Gong ◽  
Dacheng Yao

Asymptotic analysis of constant-order policies for lost-sales inventory models with positive lead times and random supply functions.


Symmetry ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 931 ◽  
Author(s):  
Luo

Researchers have used analytic methods (calculus) to solve inventory models with fixed and linear backorder costs. They have found conditions to partition the feasible domain into two parts. For one part, the system of the first partial derivatives has a solution. For the other part, the inventory model degenerates to the inventory model without shortages. A scholar tried to use the algebraic method to solve this kind of model. The scholar mentioned the partition of the feasible domain. However, other researchers cannot understand why the partition appears, even though the scholar provided two motivations for his derivations. After two other researchers provided their derivations by algebraic methods, the scholar showed a generalized solution to combine inventory models with and without shortages together. In this paper, we will point out that this generalized solution approach not only did not provide explanations for his previous partition but also contained twelve questionable results. Recently, an expert indicated questionable findings from two other researchers. Hence, we can claim that solving inventory models with fixed and linear backorder costs is still an open problem for future researchers.


2010 ◽  
Vol 2010 ◽  
pp. 1-8 ◽  
Author(s):  
Cheng-Tan Tung ◽  
Yu-Wen Wou ◽  
Shih-Wei Lin ◽  
Peter Deng

Under a reasonable assumption, we derive an analytical approach that verifies uniqueness of the optimal solution for stochastic inventory models with defective items. Our approach implies a robust method to find the optimal solution.


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