Approximation Algorithms for Stochastic Inventory Control Models
Published Online:1 May 2007https://doi.org/10.1287/moor.1060.0205
References
- Simple solution procedures for a class of two-echelon inventory problems. Oper. Res. (1990) 38:64–69Link, Google Scholar
- In process safety stock. Proc. 23rd IEEE Conf. Decision Control, Lecture Notes in Computer Science (1984) (Springer, Heidelberg, Germany) 839–842Crossref, Google Scholar
- A robust optimization approach to supply chain management. Proc. 14th IPCO, Lecture Notes in Computer Science (2004) (Springer, Heidelberg, Germany) 86–100Crossref, Google Scholar
- Markov chain models for multi-echelon supply chains. (1999) . Ph.D. thesis, Cornell University, Ithaca, NYGoogle Scholar
- Markov chain models for multi-echelon supply chains. (1999) . Unpublished manuscriptGoogle Scholar
- Optimal policies for multi-echelon inventory problems with Markov-modulated demand. Oper. Res. (2001) 49:226–234Link, Google Scholar
- Approximating the stochastic knapsack problem: The benefit of adaptivity. Proc. 45th Annual IEEE Sympos. Foundations Comput. Sci. (2004) (IEEE Computer Society, Washington, D.C.) 208–217Crossref, Google Scholar
- Optimal policies and approximations for a serial multiechelon inventory system with time-correlated demand. Oper. Res. (2003) 51:969–980Link, Google Scholar
- The stochastic single resource service provision problem. Naval Res. Logist. (2003) 50:869–887Crossref, Google Scholar
- Optimal centralized ordering policies in multi-echelon inventory systems with correlated demands. Management Sci. (1990) 36:381–392Link, Google Scholar
- Integrating replenishment decisions with advanced demand information. Management Sci. (2001) 47:1344–1360Link, Google Scholar
- A fully polynomial time approximation scheme for single-item stochastic lot-sizing problems with discrete demands. (2006) . Working paper, MIT, Boston, MAGoogle Scholar
- New policies for stochastic inventory control models—theoretical and computational results. (2005) . SubmittedGoogle Scholar
- Optimality of myopic inventory policies for several substitute products. Management Sci. (1969) 15:284–304Link, Google Scholar
- Approximate solutions of a dynamic forecast-inventory model. Manufacturing Service Oper. Management (2006) 8:407–425Link, Google Scholar
- The joint replenishment problem: New heuristics and worst-case performance bounds. Oper. Res. (1990) 38:723–771Link, Google Scholar
- The value of information sharing in two-level supply chains. Management Sci. (1999) 46:626–643Link, Google Scholar
- Provably near-optimal balancing policies for multi-echelon stochastic inventory control models. (2005) . SubmittedGoogle Scholar
- Approximation algorithms for capacitated stochastic inventory control models. (2004) Google Scholar
- Inventory planning with forecast updates: Approximate solutions and cost error bounds. Oper. Res. (2003) . ForthcomingGoogle Scholar
- Stochastic scheduling problems I: General strategies. ZOR-Zeitschrift Oper. Res. (1984) 28:193–260Crossref, Google Scholar
- Stochastic scheduling problems II: Set strategies. ZOR-Zeitschrift Oper. Res. (1984) 29:65–104Google Scholar
- Approximation in stochastic scheduling: The power of LP-based priority policies. J. ACM (1999) 46:924–942Crossref, Google Scholar
- A single-unit decomposition approach to multi-echelon inventory systems. (2001) . Working paper, Columbia University, New YorkGoogle Scholar
- Integrating replenishment decisions with advance demand information. Management Sci. (2001) 47:1344–1360Link, Google Scholar
- Stochastic optimization is (almost) as easy as deterministic optimization. Proc. 45th Annual IEEE Sympos. Foundations Comput. Sci. (2004) (IEEE Computer Society, Washington, D.C.) 228–237Crossref, Google Scholar
- A heuristic selecting lot-size requirements for the case of a deterministic time varying demand rate and discrete opportunities for replenishment. Production Inventory Management (1973) 14:64–74Google Scholar
- Inventory control in a fluctuating demand environment. Oper. Res. (1993) 41:351–370Link, Google Scholar
- Approximation in stochastic integer programming. (2003) . Technical report, SOM Research Report 03A14, Eindhoven University of Technology, Eindhoven, The NetherlandsGoogle Scholar
- Optimal policy for a multi-product, dynamic, non-stationary inventory problem. Management Sci. (1965) 12:206–222Link, Google Scholar
- Foundations of Inventory Management (2000) (McGraw-Hill, New York) Google Scholar

