Title Gresilient supplier assessment and order allocation planning
Authors Mohammed, Ahmed , Harris, Irina , Soroka, Anthony , Naim, Mohamed , Ramjaun, Tim , YAZDANI, MORTEZA
External publication No
Means Ann. Oper. Res.
Scope Article
Nature Científica
JCR Quartile 1
SJR Quartile 1
JCR Impact 4.854
SJR Impact 1.068
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084067167&doi=10.1007%2fs10479-020-03611-x&partnerID=40&md5=8ba8528e76092e3f11edfd3504901025
Publication date 01/01/2020
ISI 000528132200001
Scopus Id 2-s2.0-85084067167
DOI 10.1007/s10479-020-03611-x
Abstract Companies are under pressure to re-engineer their supply chains to \'go\n green\' while simultaneously improving their resilience to cope with\n unexpected disruptions where the supplier selection decision plays a\n strategic role. We present a new approach to supplier evaluation and\n allocating the optimal order quantity from each supplier with respect to\n green and resilience (gresilience) characteristics. An integrated\n framework that considers traditional business, green and resilience\n criteria and sub-criteria was developed, followed by a calculation of\n importance weight of criteria and sub-criteria using analytical\n hierarchy process (AHP). We evaluate suppliers using the technique for\n order of preference by similarity to ideal solution (TOPSIS). The\n obtained weights from AHP and TOPSIS were integrated into a developed\n multi-objective programming model used as an order allocation planner\n and the epsilon-constraint method was used to solve the multi-objective\n optimization problem. TOPSIS was applied to select the final Pareto\n solution based on its closeness from the ideal solution. The\n applicability and effectiveness of the proposed approach was illustrated\n using a real case study through a comparatively meaningful ranking of\n suppliers. The study provides a helpful aid for managers seeking to\n improve their supply chain resilience along with \'go green\'\n responsibilities.
Keywords Green development; Supply chain resilience; Supplier selection; AHP; TOPSIS; Multi-objective optimization
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