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Gresilient supplier assessment and order allocation planning

Mohammed, Ahmed, Harris, Irina, Soroka, Anthony, Naim, Mohamed, Yazdani, Morteza and Ramjaun, Timothy 2020. Gresilient supplier assessment and order allocation planning. Annals of Operations Research 10.1007/s10479-020-03611-x
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Abstract

Companies are under pressure to re-engineer their supply chains to ‘go green’ while simultaneously improving their resilience to cope with unexpected disruptions where the supplier selection decision plays a strategic role. We present a new approach to supplier evaluation and allocating the optimal order quantity from each supplier with respect to green and resilience (Gresilience) characteristics. An integrated framework that considers traditional business, green and resilience criteria and sub-criteria was developed, followed by a calculation of importance weight of criteria and sub-criteria using analytical hierarchy process (AHP). We evaluate suppliers using the technique for order of preference by similarity to ideal solution (TOPSIS). The obtained weights from AHP and TOPSIS were integrated into a developed multi-objective programming model used as an order allocation planner and the ε-constraint method was used to solve the multi-objective optimization problem. TOPSIS was applied to select the final Pareto solution based on its closeness from the ideal solution. The applicability and effectiveness of the proposed approach was illustrated using a real case study through a comparatively meaningful ranking of suppliers. The study provides a helpful aid for managers seeking to improve their supply chain resilience along with ‘go green’ responsibilities.

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Engineering
Business (Including Economics)
Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Publisher: Springer Verlag (Germany)
ISSN: 0254-5330
Funders: WEFO
Date of First Compliant Deposit: 22 April 2020
Date of Acceptance: 21 April 2020
Last Modified: 30 Jun 2020 14:43
URI: http://orca.cf.ac.uk/id/eprint/131164

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