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Product outsourcing policy for a sustainable flexible manufacturing system with reworking and green investment.
Bachar, Raj Kumar; Bhuniya, Shaktipada; Ghosh, Santanu Kumar; AlArjani, Ali; Attia, Elawady; Uddin, Md Sharif; Sarkar, Biswajit.
Afiliación
  • Bachar RK; Department of Mathematics, Kazi Nazrul University, Asansol 713340, West Bengal, India.
  • Bhuniya S; Department of Mathematics & Statistics, Banasthali Vidyapith, Rajasthan 304022, India.
  • Ghosh SK; Department of Mathematics, Kazi Nazrul University, Asansol 713340, West Bengal, India.
  • AlArjani A; Industrial Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.
  • Attia E; Industrial Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.
  • Uddin MS; Mechanical Engineering Department, Faculty of Engineering (Shoubra), Benha University, Cairo, Egypt.
  • Sarkar B; Department of Mechanical and Industrial Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-kharj 11942, Saudi Arabia.
Math Biosci Eng ; 20(1): 1376-1401, 2023 01.
Article en En | MEDLINE | ID: mdl-36650815
Production of defective products is a very general phenomenon. But backorder and shortages occur due to this defective product, and it hampers the manufacturer's reputation along with customer satisfaction. That is why, these outsourced products supply, a portion of required products for in-line production. This study develops a flexible production model that reworks repairable defective products and outsources products to prevent backlogging. A percentage of total in-line production is defective products, which is random, and those defective products are repairable. A green investment helps the reworking process, which has a direct impact on the market demand for products. A classical optimization solves the profit maximization model, and a numerical method proves the global optimal solutions. Sensitivity analysis, managerial insights, and discussions provide the highlights and decision-making strategies for the applicability of this model.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Servicios Externos Tipo de estudio: Prognostic_studies Idioma: En Revista: Math Biosci Eng Año: 2023 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Servicios Externos Tipo de estudio: Prognostic_studies Idioma: En Revista: Math Biosci Eng Año: 2023 Tipo del documento: Article País de afiliación: India