On the power of lookahead in on-line vehicle routing problems
COCOON'05 Proceedings of the 11th annual international conference on Computing and Combinatorics
On the power of lookahead in online lot-sizing
Operations Research Letters
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This article describes our use of competitive analysis and the on-line model of computation in a product development setting; specifically, we use competitive analysis to evaluate on-line scheduling strategies for controlling a new generation of networked reprographic machines (combination printer-copier-fax machines servicing a network) currently being developed by companies such as Xerox Corporation. We construct an abstract machine model, the multipass assembly line, which not only models networked reprographic machines but also models several common manufacturing environments such as a robotic assembly line or a mixed product assembly line. We consider on-line algorithms with finite lookahead because these machines typically have limited knowledge of the future. We first prove some lower bounds on the performance of any online algorithm with finite lookahead. We then show that simple greedy algorithms achieve competitive ratios that are close to these general lower bounds. In particular, we show that lookahead improves the competitive ratio of these simple greedy algorithms from approximately 2 (with no lookahead) to being arbitrarily close to 1 (for large lookahead). This implies these simple greedy algorithms are realistic candidates for field use in future reprographic products.