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An eclectic approach for replenishment with non-linear decreasing demand

Research output: Working paper

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An eclectic approach for replenishment with non-linear decreasing demand. / Zhao, G Q; Rand, G K; Yang, J.

Lancaster University : The Department of Management Science, 2003. (Management Science Working Paper Series).

Research output: Working paper

Harvard

Zhao, GQ, Rand, GK & Yang, J 2003 'An eclectic approach for replenishment with non-linear decreasing demand' Management Science Working Paper Series, The Department of Management Science, Lancaster University.

APA

Zhao, G. Q., Rand, G. K., & Yang, J. (2003). An eclectic approach for replenishment with non-linear decreasing demand. (Management Science Working Paper Series). The Department of Management Science.

Vancouver

Zhao GQ, Rand GK, Yang J. An eclectic approach for replenishment with non-linear decreasing demand. Lancaster University: The Department of Management Science. 2003. (Management Science Working Paper Series).

Author

Zhao, G Q ; Rand, G K ; Yang, J. / An eclectic approach for replenishment with non-linear decreasing demand. Lancaster University : The Department of Management Science, 2003. (Management Science Working Paper Series).

Bibtex

@techreport{36ca05162b814df8845387ca5622622d,
title = "An eclectic approach for replenishment with non-linear decreasing demand",
abstract = "Following the pattern of our previous work, which has dealt with linear increasing and decreasing demand and non-linear increasing demand, a parametric eclectic model has been developed for a non-linearly decreasing demand pattern. Alternative replenishment plans can be generated if the parameter vector is adjusted within a certain range. Using the eclectic approach the best result is chosen. For 12 examples, calculations based on three established heuristics, Silvers method, CLUC, and CTPP produced an average percentage increase in cost above that of our eclectic heuristic algorithm of 4.8%, 3.4% and 3.2% respectively.",
keywords = "inventory, replenishment, non-linear decreasing demand, eclectic algorithm",
author = "Zhao, {G Q} and Rand, {G K} and J Yang",
year = "2003",
language = "English",
series = "Management Science Working Paper Series",
publisher = "The Department of Management Science",
type = "WorkingPaper",
institution = "The Department of Management Science",

}

RIS

TY - UNPB

T1 - An eclectic approach for replenishment with non-linear decreasing demand

AU - Zhao, G Q

AU - Rand, G K

AU - Yang, J

PY - 2003

Y1 - 2003

N2 - Following the pattern of our previous work, which has dealt with linear increasing and decreasing demand and non-linear increasing demand, a parametric eclectic model has been developed for a non-linearly decreasing demand pattern. Alternative replenishment plans can be generated if the parameter vector is adjusted within a certain range. Using the eclectic approach the best result is chosen. For 12 examples, calculations based on three established heuristics, Silvers method, CLUC, and CTPP produced an average percentage increase in cost above that of our eclectic heuristic algorithm of 4.8%, 3.4% and 3.2% respectively.

AB - Following the pattern of our previous work, which has dealt with linear increasing and decreasing demand and non-linear increasing demand, a parametric eclectic model has been developed for a non-linearly decreasing demand pattern. Alternative replenishment plans can be generated if the parameter vector is adjusted within a certain range. Using the eclectic approach the best result is chosen. For 12 examples, calculations based on three established heuristics, Silvers method, CLUC, and CTPP produced an average percentage increase in cost above that of our eclectic heuristic algorithm of 4.8%, 3.4% and 3.2% respectively.

KW - inventory

KW - replenishment

KW - non-linear decreasing demand

KW - eclectic algorithm

M3 - Working paper

T3 - Management Science Working Paper Series

BT - An eclectic approach for replenishment with non-linear decreasing demand

PB - The Department of Management Science

CY - Lancaster University

ER -