Serial inventory systems with markov-modulated demand: Derivative bounds, asymptotic analysis, and insights

Operations Research

Volumn 65, Issue 5, 2017, Pages 1231-1249

  Chen, Li ^a   Song, Jing Sheng ^b   Zhang, Yue ^c  

^a The Samuel Curtis Johnson Graduate School of Management   (United States)

^b DUKE UNIVERSITY   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Asymptotic analysis; Derivative; Markov modulated demand; Multiechelon inventory systems

Indexed keywords

ASYMPTOTIC ANALYSIS; COMPUTATIONAL COMPLEXITY; DERIVATIVES; INVENTORY CONTROL; LAPLACE TRANSFORMS; OPTIMIZATION; SUPPLY CHAINS;

APPROXIMATION TECHNIQUES; CENTRAL LIMIT THEOREM; DERIVATIVE ANALYSIS; MARKOV-MODULATED DEMAND; MULTIECHELON INVENTORY SYSTEM; NEAR-OPTIMAL PERFORMANCE; OPTIMALITY EQUATION; RATE OF CONVERGENCE;

HEURISTIC METHODS;

EID: 85030109950     PISSN: 0030364X     EISSN: 15265463     Source Type: Journal    
DOI: 10.1287/opre.2017.1615     Document Type: Article

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