The carbon footprint is highly uncertain and directly impacts demand forecasting, with uncertainty arising from both positive and negative perspectives. This duality highlights the contrasting viewpoints of decision-makers during the decision-making process. This study employs generalized...

Multi-objective optimization problems (MOPs) are common in real-world applications, including scheduling, vehicle routing, and engineering design. A key challenge in solving MOPs is balancing convergence and diversity, as these problems often involve conflicting objectives and complex...

Sustainable Supplier Selection and Order Allocation (SSSOA) are critical strategic decisions in supply chain management. The decision-making process becomes complex under uncertainty, especially in a multi-supplier, multi-item, and multi-period environment. This study proposes a four-stage...

Multi-Criteria Decision-Making (MCDM) methods, particularly TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and VIKOR (VIsekriterijumska optimizacija i KOmpromisno Resenje) (Multicriteria Optimization and Compromise Solution), are extensively used in logistics for...

Civil Helicopter Emergency Medical Services (CHEMS) are vital for improving emergency healthcare access, particularly in remote or congested areas. While widely implemented in high-income countries, CHEMS remain underutilized in low- and middle-income countries (LMICs) due to financial,...

Food insecurity remains a global challenge that demands efficient and equitable logistical solutions, especially in the distribution of food aid. This study addresses the Two-Echelon Vehicle Routing Problem (2E-VRP) in foodbank logistics by proposing a novel multi-objective optimization...