TY - JOUR
T1 - Advance demand information and early fulfilment in inventory management with two demand classes
AU - Sarkar, Sourish
AU - Shewchuk, John P.
N1 - Publisher Copyright:
Copyright © 2016 Inderscience Enterprises Ltd.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - This paper investigates the use of advance demand information in three inventory models, each serving two demand classes. The first model is a periodic-review pure inventory system with advance demand information from both classes. The second model considers continuous-review production-inventory system, where only one class provides advance demand information. In the third model, both demand classes provide advance demand information, but one also accepts early fulfilment. An optimal inventory replenishment policy is characterised in the first model under certain conditions. In the remaining two models, simulation-optimisation methods determine optimal kanban-based early fulfilment policies. The presence of a small fraction of customers, who agree to provide advance demand information and accept early fulfilment, is shown to be more advantageous than having all customers provide the same amount of advance demand information but no early fulfilment. Managerial insights are drawn in certain scenarios.
AB - This paper investigates the use of advance demand information in three inventory models, each serving two demand classes. The first model is a periodic-review pure inventory system with advance demand information from both classes. The second model considers continuous-review production-inventory system, where only one class provides advance demand information. In the third model, both demand classes provide advance demand information, but one also accepts early fulfilment. An optimal inventory replenishment policy is characterised in the first model under certain conditions. In the remaining two models, simulation-optimisation methods determine optimal kanban-based early fulfilment policies. The presence of a small fraction of customers, who agree to provide advance demand information and accept early fulfilment, is shown to be more advantageous than having all customers provide the same amount of advance demand information but no early fulfilment. Managerial insights are drawn in certain scenarios.
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U2 - 10.1504/IJLSM.2016.078912
DO - 10.1504/IJLSM.2016.078912
M3 - Article
AN - SCOPUS:84986209048
SN - 1742-7967
VL - 25
SP - 175
EP - 198
JO - International Journal of Logistics Systems and Management
JF - International Journal of Logistics Systems and Management
IS - 2
ER -