Advance demand information and early fulfilment in inventory management with two demand classes

Sourish Sarkar, John P. Shewchuk

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)175-198
Number of pages24
JournalInternational Journal of Logistics Systems and Management
Volume25
Issue number2
DOIs
StatePublished - Jan 1 2016

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Inventory management
Advance demand information
Replenishment policy
Scenarios
Demand model
Production-inventory system
Inventory systems
Continuous review
Periodic review
Simulation optimization
Inventory replenishment
Inventory model
Model simulation
Kanban

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Management Science and Operations Research
  • Information Systems and Management

Cite this

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Advance demand information and early fulfilment in inventory management with two demand classes. / Sarkar, Sourish; Shewchuk, John P.

In: International Journal of Logistics Systems and Management, Vol. 25, No. 2, 01.01.2016, p. 175-198.

Research output: Contribution to journalArticle

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