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

Journal article

Authors/Editors

GANDA BOONSOTHONSATIT

Strategic Research Themes

Logistics & Management (Smart Healthcare)

Publication Details

Author list: Boonsothonsatit, Ganda; Chaopaisarn, Poti

Publisher: Inderscience

Publication year: 2022

Journal: International Journal of Logistics Systems and Management (1742-7967)

Volume number: 42

Issue number: 3

Start page: 427

End page: 439

Number of pages: 13

ISSN: 1742-7967

eISSN: 1742-7975

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134747325&doi=10.1504%2fIJLSM.2022.124192&partnerID=40&md5=284e93dcfec81b85df8b7b168549ddc1

Languages: English-Great Britain (EN-GB)

View on publisher site

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). © 2022 Inderscience Enterprises Ltd.. All rights reserved.

Keywords

order penetration point, small and medium-sized enterprises, supply chain performance measurement