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Optimizing disaster...
Optimizing disaster relief goods distribution and transportation : a mathematical model and metaheuristic algorithms
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- Beheshtinia, Mohammad Ali (författare)
- Semnan Univ, Dept Ind Engn, Semnan, Iran.,Department of Industrial Engineering, Semnan University, Iran
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- Jozi, Ali (författare)
- Semnan Univ, Dept Ind Engn, Semnan, Iran.,Department of Industrial Engineering, Semnan University, Iran
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- Fathi, Masood (författare)
- Högskolan i Skövde,Uppsala universitet,Industriell teknik,Univ Skövde, Sch Engn Sci, Div Intelligent Prod Syst, Skövde, Sweden.;Univ Skövde, Sch Engn Sci, Div Intelligent Prod Syst, Hogskolevagen 1, S-54128 Skövde, Sweden.,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Division of Industrial Engineering and Management, Department of Civil and Industrial Engineering, Uppsala University, Sweden,Virtual Production Development (VPD)
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Semnan Univ, Dept Ind Engn, Semnan, Iran Department of Industrial Engineering, Semnan University, Iran (creator_code:org_t)
- TAYLOR & FRANCIS LTD, 2023
- 2023
- Engelska.
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Ingår i: APPLIED MATHEMATICS IN SCIENCE AND ENGINEERING. - : TAYLOR & FRANCIS LTD. - 2769-0911. ; 31:1
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Abstract
Ämnesord
Stäng
- The effective distribution of relief goods is critical in mitigating the impact of natural disasters and preserving human life. This study addresses a relief goods distribution problem, assuming the existence of multiple relief orders that must be delivered to various disaster-stricken regions from a network of warehouses using a fleet of diverse vehicles. The objective is to identify the most suitable warehouse for each relief order, allocate relief orders to vehicles, batch the orders in the designated vehicles, and devise routing plans to minimize the total delivery time. A mixed-integer linear programming model is formulated to tackle this problem. Owing to the problem's NP-hard nature, a metaheuristic algorithm, known as the Multiple League Championship Algorithm, is developed. Furthermore, two innovative variants of the MLCA , namely the League Base Multiple League Championship Algorithm (L- MLCA) and the Playoff Multiple League Championship Algorithm (P-MLCA), are introduced.Experimental results indicate that the P-MLCA outperforms the other two algorithms. The solutions derived from the P-MLCA are compared with the optimal solutions obtained by a commercial solver for small-scale problems. This comparative analysis demonstrates the promising performance of the P-MLCA in finding the optimal distribution of relief goods.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
Nyckelord
- Disaster-stricken regions
- mixed-integer linear programming
- multiple league championship algorithm
- order batching
- routing planning
- Virtual Production Development (VPD)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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