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Multi-Objective Job Rotation in Rice Seed Harvesting With Equitable Injury Risk and Cost Allocation

Author

Listed:
  • Waranyoo Thippo

    (King Mongkut's University of Technology Thonburi, Thailand)

  • Chorkaew Jaturanonda

    (King Mongkut's University of Technology Thonburi, Thailand)

  • Sorawit Yaovasuwanchai

    (King Mongkut's University of Technology Thonburi, Thailand)

  • Charoenchai Khompatraporn

    (King Mongkut's University of Technology Thonburi, Thailand)

  • Teeradej Wuttipornpun

    (King Mongkut's University of Technology North Bangkok, Thailand)

  • Kulwara Meksawan

    (Chulalongkorn University, Thailand)

Abstract

This article presents a non-linear multi-objective optimization model with four different objectives for manual rice seed harvesting, aiming to ensure members' fairness and mutual benefits for a group of rice field owners responsible for seed planting and a group of workers tasked with harvesting rice seeds. The harvesting plan primarily focuses on minimizing the average injury risk to workers and secondarily balances this risk among workers. Simultaneously, the model seeks to minimize and equitably allocate wage costs for rice field owners. Worker characteristics, including age, gender, and body mass index are considered to influence injury risk differentially. The optimal solution involves rotating workers to different rice stalk types in several fields, all within appropriate work and rest periods. This approach serves to prevent musculoskeletal disorders and fatigue among the workers while helping rice field owners reduce their costs. This collaborative planning has the potential to enhance sustainability within the farming community.

Suggested Citation

  • Waranyoo Thippo & Chorkaew Jaturanonda & Sorawit Yaovasuwanchai & Charoenchai Khompatraporn & Teeradej Wuttipornpun & Kulwara Meksawan, 2024. "Multi-Objective Job Rotation in Rice Seed Harvesting With Equitable Injury Risk and Cost Allocation," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 15(1), pages 1-28, January.
  • Handle: RePEc:igg:jkss00:v:15:y:2024:i:1:p:1-28
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    References listed on IDEAS

    as
    1. Kai Li & Shuling Xu & Hong Fu, 2020. "Work-break scheduling with real-time fatigue effect and recovery," International Journal of Production Research, Taylor & Francis Journals, vol. 58(3), pages 689-702, February.
    2. Akkharawoot Takhom & Sasiporn Usanavasin & Thepchai Supnithi & Mitsuru Ikeda & Heinz Ulrich Hoppe & Prachya Boonkwan, 2020. "Discovering Cross-Disciplinary Concepts in Multidisciplinary Context Through Collaborative Framework," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 11(2), pages 1-19, April.
    3. Hironobu Matsushita & Carole Orchard & Katsumi Fujitani & Kaori Ichikawa, 2021. "A Systems Study on Interprofessional Collaboration in Healthcare: Testing the Japanese Version of the Assessment of Interprofessional Team Collaboration Scale II," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 12(3), pages 93-108, July.
    4. Jinfang Cai & Michitaka Kosaka, 2017. "A Collaboration-Based Spiral Model for Curriculum Development of Older Adult Education: A View from Service Science Perspective," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 8(2), pages 27-42, April.
    5. Kalyanmoy Deb & Kalyanmoy Deb, 2014. "Multi-objective Optimization," Springer Books, in: Edmund K. Burke & Graham Kendall (ed.), Search Methodologies, edition 2, chapter 0, pages 403-449, Springer.
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