IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i5p654-d1344663.html
   My bibliography  Save this article

Optimal Decisions on Greenness, Carbon Emission Reductions, and Flexibility for Imperfect Production with Partial Outsourcing

Author

Listed:
  • Bikash Koli Dey

    (Department of Industrial & Data Engineering, Hongik University, Wausan-ro 94, Mapo-Gu, Seoul 04066, Republic of Korea)

  • Hyesung Seok

    (Department of Industrial & Data Engineering, Hongik University, Wausan-ro 94, Mapo-Gu, Seoul 04066, Republic of Korea)

  • Kwanghun Chung

    (College of Business Administration, Hongik University, Wausan-ro 94, Mapo-Gu, Seoul 04066, Republic of Korea)

Abstract

Global emphasis on sustainable development is widespread, with industries playing a pivotal role in advancing global sustainability within the business and retail sectors. Consumer awareness of environmental concerns, such as pollution, prompts a focus on product biodegradability and eco-friendliness. Consequently, customers are drawn to products with higher green credentials. This study delves into the effectiveness of green attributes in retail industries, exploring the optimization of profit through a variable production rate and variable unit production cost, considering the selling price and the demand dependent on the product’s green level. In the long run, production systems may shift to an “out-of-control” state, resulting in the random production of imperfect items that must be remanufactured to maintain the industry’s positive brand image. To mitigate the impact of defective items, the industry opts to partially outsource a percentage of items, preventing shortages. However, this complex retailing system generates a significant amount of carbon emissions. This study introduces investments aimed at reducing carbon emissions to address this issue. In contrast with the existing literature, a green-level-dependent unit raw material cost is considered here for variable unit production cost. Ultimately, this study seeks to maximize the overall system’s profit by optimizing the selling price, order quantity, production rate, green level, and carbon emission reduction investments. The classical optimization technique is utilized to obtain analytic optimum results for the decision variables and total profit. Special cases and sensitivity analyses illustrate the real-world applicability and impact of green levels. Numerical findings indicate that considering the product’s green-level-dependent demand and unit production rate is 22.44 % more beneficial than nongreen products, partial outsourcing provides a 1.28 % advantage, and flexibility in the production rate yields a 69.60 % benefit over traditional systems without green elements. Additionally, technological investments to reduce carbon emissions result in a notable reduction of up to 4.53 % .

Suggested Citation

  • Bikash Koli Dey & Hyesung Seok & Kwanghun Chung, 2024. "Optimal Decisions on Greenness, Carbon Emission Reductions, and Flexibility for Imperfect Production with Partial Outsourcing," Mathematics, MDPI, vol. 12(5), pages 1-29, February.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:5:p:654-:d:1344663
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/5/654/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/5/654/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Biswajit Sarkar & Kripasindhu Chaudhuri & Shib Sankar Sana, 2010. "A stock-dependent inventory model in an imperfect production process," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 3(4), pages 361-378.
    2. Fang, Zhen, 2023. "Assessing the impact of renewable energy investment, green technology innovation, and industrialization on sustainable development: A case study of China," Renewable Energy, Elsevier, vol. 205(C), pages 772-782.
    3. Arash Sepehri & Mohammad Reza Gholamian, 2023. "A green inventory model with imperfect items considering inspection process and quality improvement under different shortages scenarios," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3269-3297, April.
    4. Maher A. N. Agi & Hardik N. Soni, 2020. "Joint pricing and inventory decisions for perishable products with age-, stock-, and price-dependent demand rate," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(1), pages 85-99, January.
    5. Li, Hengyu & Chen, Huangen & Chai, Junwu & Shi, Victor, 2023. "Private label sourcing for an e-tailer with agency selling and service provision," European Journal of Operational Research, Elsevier, vol. 305(1), pages 114-127.
    6. Harpreet Kaur & Surya Prakash Singh & Abhijit Majumdar, 2019. "Modelling joint outsourcing and offshoring decisions," International Journal of Production Research, Taylor & Francis Journals, vol. 57(13), pages 4278-4309, July.
    7. Jafar Heydari & Kannan Govindan & Zahra Basiri, 2021. "Balancing price and green quality in presence of consumer environmental awareness: a green supply chain coordination approach," International Journal of Production Research, Taylor & Francis Journals, vol. 59(7), pages 1957-1975, April.
    8. Asim Paul & Magfura Pervin & Sankar Kumar Roy & Nelson Maculan & Gerhard-Wilhelm Weber, 2022. "A green inventory model with the effect of carbon taxation," Annals of Operations Research, Springer, vol. 309(1), pages 233-248, February.
    9. Kim, Hyunjung & Kim, Eungab, 2022. "A hybrid manufacturing system with demand for intermediate goods and controllable make-to-stock production rate," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1244-1257.
    10. Lin, Junyi & Naim, Mohamed M. & Tang, Ou, 2024. "In-house or outsourcing? The impact of remanufacturing strategies on the dynamics of component remanufacturing systems under lifecycle demand and returns," European Journal of Operational Research, Elsevier, vol. 315(3), pages 965-979.
    11. Friedrich, A. & Lange, A. & Elbert, R., 2022. "Make-or-buy decisions for industrial additive manufacturing," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 132840, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    12. Wang, Limin & Song, Qiankun, 2020. "Pricing policies for dual-channel supply chain with green investment and sales effort under uncertain demand," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 171(C), pages 79-93.
    13. Naghshineh, Bardia & Carvalho, Helena, 2022. "The implications of additive manufacturing technology adoption for supply chain resilience: A systematic search and review," International Journal of Production Economics, Elsevier, vol. 247(C).
    14. Bikash Koli Dey & Sarla Pareek & Muhammad Tayyab & Biswajit Sarkar, 2021. "Autonomation policy to control work-in-process inventory in a smart production system," International Journal of Production Research, Taylor & Francis Journals, vol. 59(4), pages 1258-1280, February.
    15. AlDurgham, M. & Adegbola, K. & Glock, C. H., 2017. "A single-vendor single-manufacturer integrated inventory model with stochastic demand and variable production rate," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 87594, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    16. Deng, Sijing & Xu, Jiayan, 2023. "Manufacturing and procurement outsourcing strategies of competing original equipment manufacturers," European Journal of Operational Research, Elsevier, vol. 308(2), pages 884-896.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Jin & Wang, Haoyu & Shi, Victor & Sun, Qi, 2024. "Manufacturer's choice of online selling format in a dual-channel supply chain with green products," European Journal of Operational Research, Elsevier, vol. 318(1), pages 131-142.
    2. Mohammed Alkahtani & Muhammad Omair & Qazi Salman Khalid & Ghulam Hussain & Imran Ahmad & Catalin Pruncu, 2021. "A COVID-19 Supply Chain Management Strategy Based on Variable Production under Uncertain Environment Conditions," IJERPH, MDPI, vol. 18(4), pages 1-23, February.
    3. Wakhid Ahmad Jauhari & I Nyoman Pujawan & Mokh Suef, 2023. "Sustainable inventory management with hybrid production system and investment to reduce defects," Annals of Operations Research, Springer, vol. 324(1), pages 543-572, May.
    4. Cai, Jianhu & Sun, Haining & Shang, Jennifer & Hegde, Gajanan G., 2023. "Information structure selection in a green supply chain: Impacts of wholesale price and greenness level," European Journal of Operational Research, Elsevier, vol. 306(1), pages 34-46.
    5. Mandal, Anindya & Pal, Brojeswar, 2023. "Investigating dual-channel green supply chain considering refurbishing process and product recycling with environmental awareness effort," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 204(C), pages 695-726.
    6. Datta, Alotosh & Sarkar, Biswajit & Dey, Bikash Koli & Sangal, Isha & Yang, Liu & Fan, Shu-Kai S. & Sardar, Suman Kalyan & Thangavelu, Lakshmi, 2024. "The impact of sales effort on a dual-channel dynamical system under a price-sensitive stochastic demand," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    7. Shen, Jiayu & Shi, Jianxin & Gao, Lingceng & Zhang, Qiang & Zhu, Kai, 2023. "Uncertain green product supply chain with government intervention," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 208(C), pages 136-156.
    8. Souad Bensid Ahmed & Adel Ouannas & Mohammed Al Horani & Giuseppe Grassi, 2022. "The Discrete Fractional Variable-Order Tinkerbell Map: Chaos, 0–1 Test, and Entropy," Mathematics, MDPI, vol. 10(17), pages 1-13, September.
    9. Sarkar, Biswajit & Seok, Hyesung & Jana, Tapas Kumar & Dey, Bikash Koli, 2023. "Is the system reliability profitable for retailing and consumer service of a dynamical system under cross-price elasticity of demand?," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    10. Ventura, José A. & Bunn, Kevin A. & Venegas, Bárbara B. & Duan, Lisha, 2021. "A coordination mechanism for supplier selection and order quantity allocation with price-sensitive demand and finite production rates," International Journal of Production Economics, Elsevier, vol. 233(C).
    11. Hota, Soumya Kanti & Sarkar, Biswajit & Ghosh, Santanu Kumar & Cheikhrouhou, Naoufel & Treviño-Garza, Gerardo, 2024. "What should be the best retail strategy to deal with an unequal shipment from an unreliable manufacturer?," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    12. Shuiwang Zhang & Qianlan Ding & Jingcheng Ding, 2023. "Return Strategy of E-Commerce Platform Based on Green and Sustainable Development," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    13. Sudip Adak & G. S. Mahapatra, 2021. "Effect of inspection and rework of probabilistic defective production on two-layer supply chain incorporating deterioration and reliability dependent demand," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(3), pages 565-578, June.
    14. Bikash Koli Dey & Hyesung Seok, 2024. "Intelligent inventory management with autonomation and service strategy," Journal of Intelligent Manufacturing, Springer, vol. 35(1), pages 307-330, January.
    15. Tong, Yang & Xiao, Tiaojun, 2024. "National or third-party manufacturer? Sourcing strategy of a dominant platform: Signaling game's perspective," Omega, Elsevier, vol. 124(C).
    16. Fangzhong Qi & Leilei Zhang & Kexiang Zhuo & Xiuyan Ma, 2022. "Early Warning for Manufacturing Supply Chain Resilience Based on Improved Grey Prediction Model," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    17. Dey, Bikash Koli & Sarkar, Mitali & Chaudhuri, Kripasindhu & Sarkar, Biswajit, 2023. "Do you think that the home delivery is good for retailing?," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    18. Herbon, Avi, 2021. "An integrated manufacturer-buyer chain with bounded production cycle length," Operations Research Perspectives, Elsevier, vol. 8(C).
    19. Wang, Qiang & Wu, Jie & Zhao, Nenggui, 2022. "Optimal operational policies of a dual-channel supply chain considering return service," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 199(C), pages 414-437.
    20. Shaohua Chen & Guomin Li, 2024. "Competition between New Energy and Fuel Vehicles with Behavior-Based Pricing Strategies When Considering Environmental Concerns and Green Innovation," Sustainability, MDPI, vol. 16(10), pages 1-34, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:5:p:654-:d:1344663. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.