Information sharing in a closed-loop supply chain with asymmetric demand forecasts
type: Item
instance of: scholarly article
title: Information sharing in a closed-loop supply chain with asymmetric demand forecasts
zbMATH Open document ID: 1426.90038
DOI: 10.1155/2017/9785759
author: Pan Zhang
author: Zhongkai Xiong
published in: Mathematical Problems in Engineering
publication date: 2018-11-05T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 90B05
Mathematics Subject Classification ID: 90B06
zbMATH DE Number: 6972724
Wikidata QID: Q59147918
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/9785759
OpenAlex ID: W2599253905
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description: scientific article; zbMATH DE number 6972724