Facility Location Modeling in Supply Chain Network Design: Current State and Emerging Trends

Costa, Yasel; Melo, Teresa

doi:10.1007/978-3-030-89822-9_101-1

Cited by 1 publication

(1 citation statement)

References 147 publications

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“…The FLP is a classic optimization problem that determines the best location for a factory or warehouse to be placed based on geographical demands, facility costs, and transportation distances. The significance of the best location is determined by the nature of the problem in terms of the constraints and site optimality criteria [91]. Hospitals, fire stations, bus stops, train stations, petrol stations, blood bank centers, retail businesses, neighborhoods, libraries, parks, post offices, airports and landfills may all be located using FLPs.…”

Section: Graph Representations Of Automated Smart Locker System Optim...mentioning

confidence: 99%

Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping

Sawik

2024

Logistics

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Background: This publication presents a review, multiple criteria optimization models, and a practical example pertaining to the integration of automated smart locker systems, capillary distribution networks, crowdshipping, last-mile delivery and supply chain management. This publication addresses challenges in logistics and transportation, aiming to enhance efficiency, reduce costs and improve customer satisfaction. This study integrates automated smart locker systems, capillary distribution networks, crowdshipping, last-mile delivery and supply chain management. Methods: A review of the existing literature synthesizes key concepts, such as facility location problems, vehicle routing problems and the mathematical programming approach, to optimize supply chain operations. Conceptual optimization models are formulated to solve the complex decision-making process involved in last-mile delivery, considering multiple objectives, including cost minimization, delivery time optimization, service level minimization, capacity optimization, vehicle minimization and resource utilization. Results: The multiple criteria approaches combine the vehicle routing problem and facility location problem, demonstrating the practical applicability of the proposed methodology in a real-world case study within a logistics company. Conclusions: The execution of multi-criteria models optimizes automated smart locker deployment, capillary distribution design, crowdshipping and last-mile delivery strategies, showcasing its effectiveness in the logistics sector.

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Section: Graph Representations Of Automated Smart Locker System Optim...mentioning

confidence: 99%

Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping

Sawik

2024

Logistics

View full text Add to dashboard Cite

show abstract

Facility Location Modeling in Supply Chain Network Design: Current State and Emerging Trends

Cited by 1 publication

References 147 publications

Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping

Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping

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