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<p>Although supplier selection is crucial in project scheduling with material ordering (PSMO), it has received limited attention in the literature despite its significant impact on timely delivery, cost efficiency, sustainability, and overall project success. This study fills this gap by integrating a multi-objective mathematical model with advanced multi-criteria decision-making (MCDM) techniques to improve supplier selection in PSMO contexts. The proposed model aims to minimize total project cost and completion time while maximizing supplier performance across quality, environmental sustainability, and social responsibility. The LP-Metric method is utilized to solve the model and determine optimal supplier sets. Concurrently, several MCDM techniques including MARCOS, MABAC, MAIRCA, and VIKOR rank suppliers based on five criteria: cost, time, quality, environmental sustainability, and social responsibility. Criteria weights are calculated using Shannon Entropy, LOPCOW, WENSLO, and CRITIC methods. Comparative analysis shows that Shannon Entropy provides the most appropriate weighting, while MARCOS aligns most closely with the mathematical model’s outcomes; MABAC also demonstrates strong performance. The results indicate that selecting suppliers without these integrated approaches leads to significant deviations from optimal objective values, underscoring the necessity of a hybrid framework. This integrated methodology enhances supplier selection decisions by balancing economic and sustainability criteria, particularly in complex and dynamic construction environments. The findings offer practical insights for managers to refine procurement strategies, reduce project risks, and achieve more reliable and sustainable outcomes through data-driven decision-making.</p>

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Material ordering and supplier selection in sustainable project scheduling: a multi-criteria decision making and mathematical modelling approach

  • 期刊论文

  • 发表日期：

    2025年8月22日

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  • Sasan Mazaheri,
  • Farbod Zahedi,
  • Ali Heidari,
  • Omid Kebriyaii

摘要

Although supplier selection is crucial in project scheduling with material ordering (PSMO), it has received limited attention in the literature despite its significant impact on timely delivery, cost efficiency, sustainability, and overall project success. This study fills this gap by integrating a multi-objective mathematical model with advanced multi-criteria decision-making (MCDM) techniques to improve supplier selection in PSMO contexts. The proposed model aims to minimize total project cost and completion time while maximizing supplier performance across quality, environmental sustainability, and social responsibility. The LP-Metric method is utilized to solve the model and determine optimal supplier sets. Concurrently, several MCDM techniques including MARCOS, MABAC, MAIRCA, and VIKOR rank suppliers based on five criteria: cost, time, quality, environmental sustainability, and social responsibility. Criteria weights are calculated using Shannon Entropy, LOPCOW, WENSLO, and CRITIC methods. Comparative analysis shows that Shannon Entropy provides the most appropriate weighting, while MARCOS aligns most closely with the mathematical model’s outcomes; MABAC also demonstrates strong performance. The results indicate that selecting suppliers without these integrated approaches leads to significant deviations from optimal objective values, underscoring the necessity of a hybrid framework. This integrated methodology enhances supplier selection decisions by balancing economic and sustainability criteria, particularly in complex and dynamic construction environments. The findings offer practical insights for managers to refine procurement strategies, reduce project risks, and achieve more reliable and sustainable outcomes through data-driven decision-making.