Title: Enabling manufacturer selection and an equitable order allocation amongst textiles and apparel manufacturers
Authors: Ismail W.R. Taifa; Steve G. Hayes; Iain Duncan Stalker
Addresses: Department of Materials, Faculty of Science and Engineering, The University of Manchester, Manchester, UK; Department of Mechanical and Industrial Engineering, College of Engineering and Technology, University of Dar es Salaam, Dar es Salaam, Tanzania ' Department of Materials, Faculty of Science and Engineering, The University of Manchester, Manchester, UK ' Institute of Management, University of Bolton, Bolton, UK
Abstract: Small and medium-sized textile enterprises (SMTEs) contribute to the UK economy. Anecdotal evidence indicates that many SMTEs fail to secure enough orders from British retailers. So, this paper reports on the methodological decision analysis model and the qualitative linear weighted point method (LWPM) to develop the pertinent critical success decision criteria and virtually distribute the bulk orders equitably. The relevant decision criteria are stated for the SMTEs. The criteria are crucial as they were consolidated from the textiles and apparel manufacturers only, contrary to other several studies that established generic decision criteria. The criteria consist of corporate social responsibility, economic and environmental factors. The results indicate the opportunity to execute order quantities equitably after having ranked the collaborating SMTEs. LWPM assisted to rank SMTEs in selecting the right manufacturers. Since the criteria are from the SMTEs only; the generalisability of the results to other industries may need further research.
Keywords: textile manufacturer selection; methodological decision analysis; decision criteria; equitable order allocation; balanced scorecard; BSC; linear weighted point method; LWPM; small and medium-sized enterprises.
International Journal of Management and Decision Making, 2021 Vol.20 No.1, pp.58 - 87
Received: 03 Jan 2020
Accepted: 29 May 2020
Published online: 23 Dec 2020 *