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- W1964017936 abstract "This paper presents tight mathematical programming formulations for the dynamic demand joint replenishment problem (DJRP). Experimental studies using general-purpose software document the improved computational efficiency of the new formulations versus the earlier models of Boctor et al. (Boctor, F.F., Laporte, G. and Renaud, J., Models and algorithms for the dynamic-demand joint replenishment problem. Int. J. Prod. Res., 2004, 42, 2667–2678.) and Robinson and Gao (Robinson, E.P. and Gao, L., A dual-ascent procedure for multi-product dynamic demand coordinated replenishment with backlogging. Manag. Sci., 1996, 42, 1556–1564.). The findings encourage the development of specialized algorithms for their solution. The paper also evaluates the performance of the perturbation and dual-ascent heuristics for solving DJRP finding the perturbation heuristic is superior at relatively low set-up cost ratios and high joint set-up cost levels, while the dual-ascent heuristic strongly dominates at relatively high set-up..." @default.
- W1964017936 created "2016-06-24" @default.
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- W1964017936 date "2006-01-15" @default.
- W1964017936 modified "2023-09-27" @default.
- W1964017936 title "More on ‘Models and algorithms for the dynamic-demand joint replenishment problem’" @default.
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- W1964017936 doi "https://doi.org/10.1080/00207540500270562" @default.
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