Information Sharing in a Closed-Loop Supply Chain with Asymmetric Demand Forecasts

Joint Authors

Zhang, Pan
Xiong, Zhongkai

Source

Mathematical Problems in Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-03-22

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Civil Engineering

Abstract EN

This paper studies the problem of sharing demand forecast information in a closed-loop supply chain with the manufacturer collecting and remanufacturing.

We investigate two scenarios: the “make-to-order” scenario, in which the manufacturer schedules production based on the realized demand, and the “make-to-stock” scenario, in which the manufacturer schedules production before the demand is known.

For each scenario, we find that it is possible for the retailer to share his forecast without incentives when the collection efficiency of the manufacturer is high.

When the efficiency is moderate, information sharing can be realized by a bargaining mechanism, and when the efficiency is low, non-information sharing is a unique equilibrium.

Moreover, the possibility of information sharing in the make-to-stock scenario is higher than that in the make-to-order scenario.

In addition, we analyze the impact of demand forecasts’ characteristics on the value of information sharing in both scenarios.

American Psychological Association (APA)

Zhang, Pan& Xiong, Zhongkai. 2017. Information Sharing in a Closed-Loop Supply Chain with Asymmetric Demand Forecasts. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1192807

Modern Language Association (MLA)

Zhang, Pan& Xiong, Zhongkai. Information Sharing in a Closed-Loop Supply Chain with Asymmetric Demand Forecasts. Mathematical Problems in Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1192807

American Medical Association (AMA)

Zhang, Pan& Xiong, Zhongkai. Information Sharing in a Closed-Loop Supply Chain with Asymmetric Demand Forecasts. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1192807

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1192807