A hybrid evaluation approach using fuzzy TOPSIS and MSGP for catering food reverse logistics provider selection in airline industry Online publication date: Thu, 26-Jan-2023
by Yan-Kai Fu; Chin-Nung Liao
International Journal of Shipping and Transport Logistics (IJSTL), Vol. 16, No. 1/2, 2023
Abstract: Reverse logistics provider selection is an important issue in catering food for airline industry. In previous research, the catering food industry generally lacked a formal reference method for reverse logistics provider's selection in catering products. The objective of this paper is to develop an integrated approach, combining techniques for order preference by similarity to ideal solution (TOPSIS) and multi-segment goal programming (MSGP) model to select reverse logistics provider. In addition, this method will guide decision makers (DMs) to evaluate reverse logistics provider by taking into account the tangible and intangible resource under catering company logistics strategic. The advantage of this approach is its consideration of both qualitative and quantitative criteria which allows DMs to set multiple segment aspiration levels for reverse logistics provider selection. A case study of application is also presented by using a catering food manufacturer.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Shipping and Transport Logistics (IJSTL):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com