• Corpus ID: 14175097

ReportInventory Matching Problems in the Steel Industrycompiled by :

  title={ReportInventory Matching Problems in the Steel Industrycompiled by :},
  author={Rajiv Jayant and KalagnanamMilind and W. and DawandeMark and TrumboHo and Soo},
This report is an e ort to consolidate two di erent avors of a surplus inventory matching problem encountered in the steel industry: Surplus Un nished Inventory Matching, and Surplus Finished Inventory Matching. This report is compiled from two other reports that describe the heuristic solution approaches developed for a real world application of these problems [1, 2]. The focus here is to motivate these problems from an operations planning point of view. The initial sections of this report… 


The Surplus Inventory Matching Problem in the Process Industry
A network-flow--based heuristic that yields solutions within 3% of optimal (or the best known feasible solution) is proposed and has been successfully deployed and is now used daily in the mill operations.
Solving Multiple Knapsack Problems by Cutting Planes
The inequalities that are described here serve as the theoretical basis for a cutting plane algorithm that is applied to practical problem instances arising in the design of main frame computers, in the layout of electronic circuits, and in sugar cane alcohol production.
Functional description of MINTO : a mixed integer optimizer
This paper documents MINTO by specifying what it is capable of doing and how to use it and provides a variety of specialized application routines that can customize MINTO to achieve maximum efficiency for a problem class.
Computers and Intractability: A Guide to the Theory of NP-Completeness
Horn formulae play a prominent role in artificial intelligence and logic programming. In this paper we investigate the problem of optimal compression of propositional Horn production rule knowledge
Knapsack Problems: Algorithms and Computer Implementations
(1991). Knapsack Problems: Algorithms and Computer Implementations. Journal of the Operational Research Society: Vol. 42, No. 6, pp. 513-513.
Fundamentals of Data Structures, Computer Science Press, Inc
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