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Metaheuristic for Optimize the India Speed Post Facility Layout Design and Operational Performance Based Sorting Layout Selection Using DEA Method

  • S. M. VadivelEmail author
  • A. H. Sequeira
  • Sunil Kumar Jauhar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 941)

Abstract

Adoption of feasible location science is gaining more interest in the field of Facility Layout Design (FLD) problems among working researchers group. Many methods such as MCDM, Heuristics and Intelligent approaches are available to solve the FLD problems. However in reality, finding the feasible facility layout selection is subject to management as well as performances oriented selections. Here in India, speed post mail processing service industry is facing tremendous challenges like tumbling demands due to low production concern, gloomy trend in technology advancement, and fierce private couriers’ competition. Hence, the highly competitive operational performance is of much concern and attention is focused towards the direction of facility location science. This paper aims to examine the challenges of sustainable operational performance oriented layout selection by Data Envelopment Analysis (DEA) and proposes a genetic algorithm (GA) related to intelligent based approach, for finding the optimal total facility layout cost for a hypothetical South Indian speed post service office layout. In this paper, we used multiple-criteria facility layout selection problem using mathematical model generated with Data Envelopment Analysis (DEA).

Keywords

DEA Facility layout planning and design Genetic algorithm Mail processing operations Operational performance 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of ManagementNational Institute of Technology KarnatakaSurathkalIndia
  2. 2.Global Management Studies, Ted Rogers School of ManagementRyerson UniversityTorontoCanada
  3. 3.Department of Industrial EngineeringUniversidad Católica del NorteAntofagastaChile

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