Product outsourcing policy for a sustainable flexible manufacturing system with reworking and green investment

Author:

Bachar Raj Kumar1,Bhuniya Shaktipada2,Ghosh Santanu Kumar1,AlArjani Ali3,Attia Elawady34,Uddin Md. Sharif56,Sarkar Biswajit78

Affiliation:

1. Department of Mathematics, Kazi Nazrul University, Asansol 713340, West Bengal, India

2. Department of Mathematics & Statistics, Banasthali Vidyapith, Rajasthan 304022, India

3. Industrial Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia

4. Mechanical Engineering Department, Faculty of Engineering (Shoubra), Benha University, Cairo, Egypt

5. Department of Mechanical and Industrial Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-kharj 11942, Saudi Arabia

6. Department of Mathematics, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh

7. Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul 03722, South Korea

8. Center for Transdisciplinary Research (CFTR), Saveetha Institute of Medical and Technical Sciences, Saveetha University, Velappanchavadi, Tamil Nadu 600077, India

Abstract

<abstract><p>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.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

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