A new comprehensive framework for ranking accepted orders and supplier selection in make-to-order environments

Rabbani, M, Ahmadi, G and Kian, R ORCID: https://orcid.org/0000-0001-8786-6349, 2009. A new comprehensive framework for ranking accepted orders and supplier selection in make-to-order environments. In: Kacem, I, ed., CIE 39 2009 International Conference on Computers and Industrial Engineering, Troyes, France, 6-8 July 2009. Proceedings. Institute of Electrical and Electronics Engineers (IEEE), pp. 919-924. ISBN 9781424441358

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Abstract

This paper presents a new decision making framework for supplier selection in a make-to-order-system (MTO) while establishing an information loop between "sale" and "purchasing" functions which play important roles in successful satisfying of customers. The order entry stage outputs, including accepted orders' requirements and their priorities are reflected into the supplier selection phase; and in return, the outputs of the supplier selection model are fed back into the sale department to revise the orders attributes according to the system's supplying capabilities. A ranking procedure using Fuzzy data-envelopment-analysis (DEA) and multi attribute utility model (Le. similarity to ideal solution TOPSIS) is applied to determine the relative ranking of accepted orders; in the next phase a goal programming supplier selection model focusing on three criteria of time, cost and quality is run to determine the best ability of the system in supplying required components and materials of the accepted orders.

Item Type:	Chapter in book
Creators:	Rabbani, M., Ahmadi, G. and Kian, R.
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Date:	2009
ISBN:	9781424441358
Identifiers:	Number Type 10.1109/ICCIE.2009.5223805 DOI 1212207 Other
Rights:	© Copyright 2019 IEEE - All rights reserved.
Divisions:	Schools > Nottingham Business School
Record created by:	Linda Sullivan
Date Added:	08 Nov 2019 14:36
Last Modified:	08 Nov 2019 15:50
URI:	https://irep.ntu.ac.uk/id/eprint/38183

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