Positioning push–pull boundary in a hesitant fuzzy environment

Abstract

Nowadays, fierce competition enforces supply chain planners to develop market‐oriented production strategies. Customer order decoupling point (CODP) could increase the supply chain efficiency and responsiveness simultaneously. The right position of CODP in production industries will result in a pattern for trade‐off between responsiveness and operational efficiency. The purpose of this paper is to address the positioning problem of a push‐pull boundary in a fuzzy hesitant environment. To this end, a hybrid multi‐criteria decision‐making methodology of analytic network process (ANP) and VIKOR is proposed in a hesitant judgement environment to determine the position of CODP in a supply chain. Finally, CODP positioning in the apparel supply chain, as an industry‐based example, is analysed to show the applicability of the proposed method.

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

“…Hybrid methods of fuzzy MCDM: Pournamazi et al (2020) proposed a hybrid MCDM methodology of ANP and VIKOR in a hesitant environment to determine the position of customer order decoupling point in a SC. Kumar and Anbanandam (2020) used a datadriven method based on the intuitionistic fuzzy-set-based AHP and VIKOR to evaluate alternative transport firms.…”

“…Table 7 presents the details of papers mentioned above. Pournamazi et al (2020) addressed the positioning problem of a push-pull boundary in a fuzzy hesitant condition. Zheng et al (2017) proposed a fuzzy evidential influence diagram to evaluate an SC financial system.…”

Estratégia de produção e competitividade

“…Na literatura, foi possível observar que o OPP foi estudado do ponto de vista estratégico (Olhager, 2003), bem como os impactos do seu posicionamento na produção e cadeia de suprimentos. Além disto, foram propostos modelos matemáticos para avaliar a competitividade das empresas de acordo com o posicionamento do OPP adotado por elas (Fera et al, 2017) e para sugerir o posicionamento do OPP (Daaboul;Laroche;Bernard, 2010;Pournamazi;Ghasemy Yaghin;Jolai, 2021;Teimoury et al, 2012) incluindo a avaliação das características do pedido (Liu et al, 2016) e restrições de tempo e capacidade (Liu et al, 2016). A aplicação do OPP também foi estudada em sistemas híbridos MTO-MTS Sormaz;Weckman, 2016;Suer, 2018;Kerkkänen, 2007;Köber;Heinecke, 2012;Maier et al, 2021;Soman;Van Donk;Gaalman, 2004).…”