TY - JOUR
T1 - Stochastic sequential supply chain management system
T2 - with a solution approach using the systematic sampling evolutionary method
AU - Goshu, Natnael Nigussie
AU - Kassa, Semu Mitiku
N1 - Publisher Copyright:
Copyright © 2022 Inderscience Enterprises Ltd.
PY - 2022
Y1 - 2022
N2 - Supply chain management describes a complex sequence of strategies implemented by multiple decision makers to transform raw materials into products and deliver to the market. Mathematical formulations of such problems involve hierarchical games with some form of stochastic properties in the problem definition. Such kind of mathematical problems are generally known to be NP-hard and are challenging to solve. This paper considers a general form of supply chain management problem with various forms of model formulations and analysis. Moreover, a solution approach based on a systematic sampling evolutionary method is also proposed to solve any form of such problem definitions to obtain a Stackelberg equilibrium or Stackelberg-Nash equilibrium solution. The convergence of the solution approach is shown. The reliability of the proposed method is checked. In addition to this, the algorithm is implemented on carefully constructed stochastic supply chain management problems and solutions to these problems are presented.
AB - Supply chain management describes a complex sequence of strategies implemented by multiple decision makers to transform raw materials into products and deliver to the market. Mathematical formulations of such problems involve hierarchical games with some form of stochastic properties in the problem definition. Such kind of mathematical problems are generally known to be NP-hard and are challenging to solve. This paper considers a general form of supply chain management problem with various forms of model formulations and analysis. Moreover, a solution approach based on a systematic sampling evolutionary method is also proposed to solve any form of such problem definitions to obtain a Stackelberg equilibrium or Stackelberg-Nash equilibrium solution. The convergence of the solution approach is shown. The reliability of the proposed method is checked. In addition to this, the algorithm is implemented on carefully constructed stochastic supply chain management problems and solutions to these problems are presented.
KW - Nash equilibrium
KW - sample average approximation
KW - Stackelberg equilibrium
KW - supply chain management
KW - systematic sampling
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U2 - 10.1504/ijbpscm.2022.125690
DO - 10.1504/ijbpscm.2022.125690
M3 - Article
AN - SCOPUS:85140840026
SN - 1758-9401
VL - 13
SP - 264
EP - 288
JO - International Journal of Business Performance and Supply Chain Modelling
JF - International Journal of Business Performance and Supply Chain Modelling
IS - 3
ER -