Title: Order penetration point-based supply chain performance optimisation for SMEs (OPPO)

Authors: Ganda Boonsothonsatit; Poti Chaopaisarn

Addresses: Graduate School of Management and Innovation, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand ' Centre of Excellence in Logistics and Supply Chain Management, Department of Industrial Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand

Abstract: This paper aims to develop order penetration point-based supply chain performance optimisation for SMEs (OPPO). OPPO supports identifying critical performance measures and their root-causes, figuring out their intricate interrelations, and optimising their conflicts in consideration of their relative preferences. It provides the best-fitted solution for Pareto-optimal results. The OPPO development covered nine performance measures which were causally linked for identifying a few of critical performance measures and their root-causes. Their conflicts in consideration of their relative preferences were optimised using weighted max-min fuzzy goal programming (WMM-FGP) for providing Pareto optimality. As a result, supply chain cost and customer lead time were identified as critical performance measures. Their Pareto optimality in consideration of their relative preferences suggests the best-fitted product lot-size and position of order penetration point (OPP).

Keywords: supply chain performance measurement; order penetration point; optimisation; small and medium-sized enterprises.

DOI: 10.1504/IJLSM.2022.124192

International Journal of Logistics Systems and Management, 2022 Vol.42 No.3, pp.427 - 439

Received: 12 Jan 2020
Accepted: 15 Apr 2020
Published online: 18 Jul 2022 *

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