Analysis of a dual-source production-inventory problem with quantity constraints

Bin Zhou, John Wang, Ruiliang Yan

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

In this paper, we study a production-outsourcing problem in which the firm has two supply sources. Demands are random variables and supply/production capacity is unlimited. We discuss the problem, analyse the firm's sourcing strategies, and compute the policies. The policies are then evaluated through extensive simulation studies that aim to provide important insights with respect to the performance under varied demand and cost parameters as well as different service level requirements of the firm.

Original languageEnglish
Pages (from-to)1-15
Number of pages15
JournalInternational Journal of Applied Decision Sciences
Volume4
Issue number1
DOIs
StatePublished - 1 Jan 2011

Fingerprint

Production-inventory
Sourcing strategy
Production capacity
Outsourcing
Costs
Simulation study
Service levels
Random variables

Keywords

  • Inventory and production system
  • Outsourcing
  • SCM
  • Supply chain management

Cite this

@article{61bdd422e241496a90e97964ad99ed0b,
title = "Analysis of a dual-source production-inventory problem with quantity constraints",
abstract = "In this paper, we study a production-outsourcing problem in which the firm has two supply sources. Demands are random variables and supply/production capacity is unlimited. We discuss the problem, analyse the firm's sourcing strategies, and compute the policies. The policies are then evaluated through extensive simulation studies that aim to provide important insights with respect to the performance under varied demand and cost parameters as well as different service level requirements of the firm.",
keywords = "Inventory and production system, Outsourcing, SCM, Supply chain management",
author = "Bin Zhou and John Wang and Ruiliang Yan",
year = "2011",
month = "1",
day = "1",
doi = "10.1504/IJADS.2011.038088",
language = "English",
volume = "4",
pages = "1--15",
journal = "International Journal of Applied Decision Sciences",
issn = "1755-8077",
publisher = "Inderscience Enterprises Ltd.",
number = "1",

}

Analysis of a dual-source production-inventory problem with quantity constraints. / Zhou, Bin; Wang, John; Yan, Ruiliang.

In: International Journal of Applied Decision Sciences, Vol. 4, No. 1, 01.01.2011, p. 1-15.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Analysis of a dual-source production-inventory problem with quantity constraints

AU - Zhou, Bin

AU - Wang, John

AU - Yan, Ruiliang

PY - 2011/1/1

Y1 - 2011/1/1

N2 - In this paper, we study a production-outsourcing problem in which the firm has two supply sources. Demands are random variables and supply/production capacity is unlimited. We discuss the problem, analyse the firm's sourcing strategies, and compute the policies. The policies are then evaluated through extensive simulation studies that aim to provide important insights with respect to the performance under varied demand and cost parameters as well as different service level requirements of the firm.

AB - In this paper, we study a production-outsourcing problem in which the firm has two supply sources. Demands are random variables and supply/production capacity is unlimited. We discuss the problem, analyse the firm's sourcing strategies, and compute the policies. The policies are then evaluated through extensive simulation studies that aim to provide important insights with respect to the performance under varied demand and cost parameters as well as different service level requirements of the firm.

KW - Inventory and production system

KW - Outsourcing

KW - SCM

KW - Supply chain management

UR - http://www.scopus.com/inward/record.url?scp=78751638860&partnerID=8YFLogxK

U2 - 10.1504/IJADS.2011.038088

DO - 10.1504/IJADS.2011.038088

M3 - Article

AN - SCOPUS:78751638860

VL - 4

SP - 1

EP - 15

JO - International Journal of Applied Decision Sciences

JF - International Journal of Applied Decision Sciences

SN - 1755-8077

IS - 1

ER -