Integrating fuzzy analytic hierarchy process into a multi-objective optimisation model for planning sustainable oil palm value chains

Tapia, John Frederick D.; Samsatli, Sheila

doi:10.1016/j.fbp.2019.10.002

Cited by 19 publications

(13 citation statements)

References 46 publications

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“…In the current study, the case study is the palm oil industry of Malaysia (as one of the main industries in Malaysia). Malaysian palm oil industry has very big portion in supplying the total biomass and is considered as the main alternative for renewable energies (Tapia and Samsatli 2020). On the other hand, the generated waste from this industry is of the main concerns of the Malaysian government (Loh and Choo 2013).…”

Section: Introductionmentioning

confidence: 99%

A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry

Fallahpour

Nayeri

Sheikhalishahi

et al. 2021

Environ Sci Pollut Res

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One of the major challenges of the supply chain managers is to select the best suppliers among all possible ones for their business. Although the research on the supplier selection with regards to green, sustainability or resiliency criteria has been contributed by many papers, simultaneous consideration of these criteria in a fuzzy environment is rarely studied. Hence, this study proposes a fuzzy decision framework to investigate the sustainable-resilient supplier selection problem for a real case study of palm oil industry in Malaysia. Firstly, the resilient-based sustainable criteria are localized for the suppliers' performance evaluation in palm oil industry of Malaysia. Accordingly, 30 criteria in three different aspects (i.e. general, sustainable and resilient) are determined by statistical tests. Moreover, a hyper-hybrid model with the use of FDEMATEL (fuzzy decision-making trial and evaluation laboratory), FBWM (fuzzy best worst method), FANP (fuzzy analytical network process) and FIS (fuzzy inference system), simultaneously is developed to employ their merits in an efficient way. In this framework, regarding the outset, the relationships among the criteria/sub-criteria are obtained by FDEMATEL method. Then, initial weights of the criteria/sub-criteria are measured by FBWM method. Next, the final weights of criteria/sub-criteria considering the interrelationships are calculated by FANP. Finally, the performance of the suppliers is evaluated by FIS method. To show the applicability of this hybrid decisionmaking framework, an industrial case of palm oil in Malaysia is presented. The findings indicate the high performance of the proposed framework in this concept and identify the most important criteria including the cost in general aspects, resource consumption as the most crucial sustainable criterion and agility as the most important resilient criterion.

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Section: Introductionmentioning

confidence: 99%

A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry

Fallahpour

Nayeri

Sheikhalishahi

et al. 2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…In this arena, mathematical modeling and optimization techniques can aid in comprehending and formulating strategies for the needed transformation of future food supply chains that can sustainably provide food and non-food commodities simultaneously (FAO, 2014;Zhu et al, 2018). For example, Tapia and Samsatli (2020) developed an optimisation model for multi-product oil palm supply chains that ensures sustainable land and water use and biodiversity protection. It may be technically feasible to integrate BAF production with food production from 1-G feedstocks but the policies and management have to be systematically assessed and sustainably implemented (Sims et al, 2015).…”

Section: First-generation (1-g)mentioning

confidence: 99%

Bio-aviation Fuel: A Comprehensive Review and Analysis of the Supply Chain Components

et al. 2020

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“…We adopted the calibration scales developed by Promentilla et al [30] and Ishizaka and Nguyen [31] which using the scaling method of Saaty's 9-point scale for pairwise comparison [32]. The priority weights are derived from the following optimisation model developed by Promentilla et al, [33] and Tapia and Samsatli [29] by maximising λ in Eq. ( 1), which includes the overall judgement consistency, subjected to the respective membership functions.…”

Section: Biomass Value Chain Model Developmentmentioning

confidence: 99%

Modelling and optimisation of oil palm biomass value chains and the environment–food–energy–water nexus in peninsular Malaysia

Rubinsin

Daud

Kamarudin

et al. 2021

Biomass and Bioenergy

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Integrating fuzzy analytic hierarchy process into a multi-objective optimisation model for planning sustainable oil palm value chains

Cited by 19 publications

References 46 publications

A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry

A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry

Bio-aviation Fuel: A Comprehensive Review and Analysis of the Supply Chain Components

Modelling and optimisation of oil palm biomass value chains and the environment–food–energy–water nexus in peninsular Malaysia

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