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Gresilient supplier assessment and order allocation planning

  • S.I. : MOPGP 2017
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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.

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Abbreviations

TGR:

Traditional green resilience

QFD:

Quality function deployment

ANP:

Analytic network process

ANN:

Artificial neural network

DEA:

Data envelopment analysis

FAD:

Fuzzy axiomatic design

VIKOR:

VIseKriterijumska Optimizacija I Kompromisno Resenje

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Acknowledgements

The authors acknowledge the financial support from the European Regional Development Fund through the Welsh Government for ASTUTE 2020 (Advanced Sustainable Manufacturing Technologies) to facilitate this work. Also, the first author would like to express his gratitude to the Research Council (TRC) in the Sultanate of Oman for their support of this work.

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Authors and Affiliations

  1. Faculty of Transport & Logistics, Muscat University, Building 142, Al Ghubra North, Muscat, Oman

    Ahmed Mohammed

  2. Cardiff Business School, Cardiff University, Aberconway Building, Colum Dr, Cardiff, CF10 3EU, UK

    Irina Harris, Anthony Soroka, Mohamed Naim & Tim Ramjaun

  3. Management Department, Universidad Loyola Andalucia, Seville, Spain

    Morteza Yazdani

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  1. Ahmed Mohammed
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  2. Irina Harris
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Correspondence to Ahmed Mohammed.

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Mohammed, A., Harris, I., Soroka, A. et al. Gresilient supplier assessment and order allocation planning. Ann Oper Res 296, 335–362 (2021). https://doi.org/10.1007/s10479-020-03611-x

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