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In this paper we present an exact numerical model for the evaluation of a three-echelon supply chain with multiple retailers. Poisson demand, exponentially distributed transportation times and lost sales at the retailers are assumed. The system is modeled as a continuous time Markov chain, and the analysis is based on matrix analytic methods. We analyze the infinitesimal generator matrix of the process and develop an algorithm for its construction. Performance measures for the system are calculated algorithmically from the stationary probabilities vector. The algorithm is used for an extensive numerical investigation of the system so that conclusions of managerial importance may be drawn.
Details
Deep learning;
Markov chains;
Random variables;
Optimization;
Decomposition;
Approximation;
Manufacturers;
Order quantity;
Inventory control;
Heuristic;
Suppliers;
Mathematical programming;
Machine learning;
Dynamic programming;
Costs;
Numerical models;
Genetic algorithms;
Wholesalers;
Supply chain management;
Retail stores;
Algorithms;
Linear programming;
Warehouses;
Systematic review;
Inventory;
Supply chains;
Markov analysis
; Koukoumialos Stelios 2
; Diamantidis Alexandros 3
; Ioannidis Evangelos 3
1 Department of Business Administration, University of the Aegean, 82100 Chios, Greece; [email protected]
2 Department of Business Administration, University of Thessaly, 41500 Larissa, Greece; [email protected]
3 Department of Economics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; [email protected]