IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i23p4517-d988502.html
   My bibliography  Save this article

Controllable Energy Consumption in a Sustainable Smart Manufacturing Model Considering Superior Service, Flexible Demand, and Partial Outsourcing

Author

Listed:
  • Raj Kumar Bachar

    (Department of Mathematics, Kazi Nazrul University, Asansol 713340, West Bengal, India)

  • Shaktipada Bhuniya

    (Department of Mathematics and Statistics, Banasthali Vidyapith, Banasthali 304022, Rajasthan, India)

  • Santanu Kumar Ghosh

    (Department of Mathematics, Kazi Nazrul University, Asansol 713340, West Bengal, India)

  • Biswajit Sarkar

    (Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul 03722, Republic of Korea
    Center for Transdisciplinary Research (CFTR), Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, 162, Poonamallee High Road, Velappanchavadi, Chennai 600077, Tamil Nadu, India)

Abstract

The waste of energy in the present era is a dangerous signal for the future. All categories of consumers should come forward to moderate energy use and prevent wastage. This study focuses on a controllable energy consumption-based sustainable inventory model incorporating variable production rates, improved service, partial outsourcing planning, defective production, restoring reworkable items, disposing of non-reworkable items, and energy-saving steps. Reducing unusual energy consumption in production systems reduces carbon emissions and maximizes the system’s profit. An improved service level attracts customers, increases demand, and improves product reputation. Separate holding costs of reworked, defective, and perfect-quality items are considered for every lot delivered and reworked. The demand in the market is related to price and service. A traditional optimization technique examines the global optimization for the profit function and decision variables. Numerical illustrations as well as concave 3D graphs validate the analytical results and provide a sensitivity analysis for different parameters. The model is validated through special cases and comparison graphs.

Suggested Citation

  • Raj Kumar Bachar & Shaktipada Bhuniya & Santanu Kumar Ghosh & Biswajit Sarkar, 2022. "Controllable Energy Consumption in a Sustainable Smart Manufacturing Model Considering Superior Service, Flexible Demand, and Partial Outsourcing," Mathematics, MDPI, vol. 10(23), pages 1-29, November.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:23:p:4517-:d:988502
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/23/4517/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/23/4517/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yanting Du & Guangdi Hu & Shun Xiang & Ke Zhang & Hongxing Liu & Feng Guo, 2018. "Estimation of the Diesel Particulate Filter Soot Load Based on an Equivalent Circuit Model," Energies, MDPI, vol. 11(2), pages 1-13, February.
    2. Gruson, Matthieu & Cordeau, Jean-François & Jans, Raf, 2018. "The impact of service level constraints in deterministic lot sizing with backlogging," Omega, Elsevier, vol. 79(C), pages 91-103.
    3. Esmaeili, M. & Shamsi Gamchi, N. & Asgharizadeh, E., 2014. "Three-level warranty service contract among manufacturer, agent and customer: A game-theoretical approach," European Journal of Operational Research, Elsevier, vol. 239(1), pages 177-186.
    4. Qin, Xuelian & Liu, Zhixue & Tian, Lin, 2021. "The optimal combination between selling mode and logistics service strategy in an e-commerce market," European Journal of Operational Research, Elsevier, vol. 289(2), pages 639-651.
    5. Rahimi, Mohammad & Baboli, Armand & Rekik, Yacine, 2017. "Multi-objective inventory routing problem: A stochastic model to consider profit, service level and green criteria," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 59-83.
    6. Kim, T. & Glock, C. H., 2018. "Production planning for a two-stage production system with multiple parallel machines and variable production rates," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 90347, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Kim, Joseph J., 2017. "Economic analysis on energy saving technologies for complex manufacturing building," Resources, Conservation & Recycling, Elsevier, vol. 123(C), pages 249-254.
    8. Niu, Baozhuang & Mu, Zihao, 2020. "Sustainable efforts, procurement outsourcing, and channel co-opetition in emerging markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    9. Chan, Chi Kin & Wong, Wai Him & Langevin, A. & Lee, Y.C.E., 2017. "An integrated production-inventory model for deteriorating items with consideration of optimal production rate and deterioration during delivery," International Journal of Production Economics, Elsevier, vol. 189(C), pages 1-13.
    10. Gahm, Christian & Denz, Florian & Dirr, Martin & Tuma, Axel, 2016. "Energy-efficient scheduling in manufacturing companies: A review and research framework," European Journal of Operational Research, Elsevier, vol. 248(3), pages 744-757.
    11. Glock, C. H., 2010. "Batch sizing with controllable production rates," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57823, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    12. Lee, Shine-Der & Lan, Shu-Chuan, 2013. "Production lot sizing with a secondary outsourcing facility," International Journal of Production Economics, Elsevier, vol. 141(1), pages 414-424.
    13. Eiamkanchanalai, Somkiat & Banerjee, Avijit, 1999. "Production lot sizing with variable production rate and explicit idle capacity cost," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 251-259, March.
    14. Gouiaa-Mtibaa, A. & Dellagi, S. & Achour, Z. & Erray, W., 2018. "Integrated Maintenance-Quality policy with rework process under improved imperfect preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 173(C), pages 1-11.
    15. Jodlbauer, Herbert & Reitner, Sonja, 2012. "Optimizing service-level and relevant cost for a stochastic multi-item cyclic production system," International Journal of Production Economics, Elsevier, vol. 136(2), pages 306-317.
    16. Xu, Jie & Lv, Tao & Hou, Xiaoran & Deng, Xu & Li, Na & Liu, Feng, 2022. "Spatiotemporal characteristics and influencing factors of renewable energy production in China: A spatial econometric analysis," Energy Economics, Elsevier, vol. 116(C).
    17. Xiang, Liu, 2022. "A large-scale equilibrium model of energy emergency production: Embedding social choice rules into Nash Q-learning automatically achieving consensus of urgent recovery behaviors," Energy, Elsevier, vol. 259(C).
    18. Kim, Taebok & Glock, Christoph H., 2018. "Production planning for a two-stage production system with multiple parallel machines and variable production rates," International Journal of Production Economics, Elsevier, vol. 196(C), pages 284-292.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Elena Barzizza & Nicolò Biasetton & Riccardo Ceccato & Luigi Salmaso, 2023. "Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review," Stats, MDPI, vol. 6(2), pages 1-21, May.
    2. 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).
    3. Daria Minashkina & Ari Happonen, 2023. "Warehouse Management Systems for Social and Environmental Sustainability: A Systematic Literature Review and Bibliometric Analysis," Logistics, MDPI, vol. 7(3), pages 1-33, July.
    4. Taniya Mukherjee & Isha Sangal & Biswajit Sarkar & Tamer M. Alkadash & Qais Almaamari, 2023. "Pallet Distribution Affecting a Machine’s Utilization Level and Picking Time," Mathematics, MDPI, vol. 11(13), pages 1-17, July.
    5. Rekha Guchhait & Biswajit Sarkar, 2023. "Increasing Growth of Renewable Energy: A State of Art," Energies, MDPI, vol. 16(6), pages 1-29, March.
    6. Ernesto A. Lagarda-Leyva & María Paz Guadalupe Acosta-Quintana & Javier Portugal-Vásquez & Arnulfo A. Naranjo-Flores & Alfredo Bueno-Solano, 2023. "System Dynamics and Sustainable Solution: The Case in a Large-Scale Pallet Manufacturing Company," Sustainability, MDPI, vol. 15(15), pages 1-21, July.
    7. Maksymilian Mądziel, 2023. "Vehicle Emission Models and Traffic Simulators: A Review," Energies, MDPI, vol. 16(9), pages 1-31, May.
    8. Taniya Mukherjee & Isha Sangal & Biswajit Sarkar & Qais Almaamari & Tamer M. Alkadash, 2023. "How Effective Is Reverse Cross-Docking and Carbon Policies in Controlling Carbon Emission from the Fashion Industry?," Mathematics, MDPI, vol. 11(13), pages 1-25, June.
    9. Sarkar, Biswajit & Kar, Sumi & Basu, Kajla & Seo, Yong Won, 2023. "Is the online-offline buy-online-pickup-in-store retail strategy best among other product delivery strategies under variable lead time?," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    10. Surendra Vikram Singh Padiyar & Vandana & Shiv Raj Singh & Dipti Singh & Mitali Sarkar & Bikash Koli Dey & Biswajit Sarkar, 2022. "Three-Echelon Supply Chain Management with Deteriorated Products under the Effect of Inflation," Mathematics, MDPI, vol. 11(1), pages 1-19, December.
    11. Emanuele Cutore & Alberto Fichera & Rosaria Volpe, 2023. "A Roadmap for the Design, Operation and Monitoring of Renewable Energy Communities in Italy," Sustainability, MDPI, vol. 15(10), pages 1-26, May.
    12. Davoudi, Zahra & Seifbarghy, Mehdi & Sarkar, Mitali & Sarkar, Biswajit, 2023. "Effect of bargaining on pricing and retailing under a green supply chain management," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    13. Sarkar, Mitali & Dey, Bikash Koli & Ganguly, Baishakhi & Saxena, Neha & Yadav, Dharmendra & Sarkar, Biswajit, 2023. "The impact of information sharing and bullwhip effects on improving consumer services in dual-channel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    14. Vandana & Shiv Raj Singh & Mitali Sarkar & Biswajit Sarkar, 2023. "Effect of Learning and Forgetting on Inventory Model under Carbon Emission and Agile Manufacturing," Mathematics, MDPI, vol. 11(2), pages 1-20, January.
    15. Saha, Subrata & Sarkar, Biswajit & Sarkar, Mitali, 2023. "Application of improved meta-heuristic algorithms for green preservation technology management to optimize dynamical investments and replenishment strategies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 209(C), pages 426-450.
    16. Taleizadeh, Ata Allah & Moshtagh, Mohammad Sadegh & Vahedi-Nouri, Behdin & Sarkar, Biswajit, 2023. "New products or remanufactured products: Which is consumer-friendly under a closed-loop multi-level supply chain?," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    17. Decai Tang & Jiannan Li & Shaojian Qu & Valentina Boamah, 2023. "Tripartite Collaboration among Government, Digital Technology Platform, and Manufacturing Enterprises: Evolutionary Game Model," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    18. Housheng Duan & Jiayan Xu, 2023. "Remanufacturing and Product Recovery Strategies Considering Chain-to-Chain Competition and Power Structures," Sustainability, MDPI, vol. 15(10), pages 1-26, May.

    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. Dhahri, Akrem & Gharbi, Ali & Ouhimmou, Mustapha, 2022. "Integrated production-delivery control policy for an unreliable manufacturing system and multiple retailers," International Journal of Production Economics, Elsevier, vol. 245(C).
    2. Glock, Christoph H. & Grosse, Eric H., 2021. "The impact of controllable production rates on the performance of inventory systems: A systematic review of the literature," European Journal of Operational Research, Elsevier, vol. 288(3), pages 703-720.
    3. Herbon, Avi & David, Israel, 2023. "Optimal manufacturer's cost sharing ratio, shipping policy and production rate – A two-echelon supply chain," Operations Research Perspectives, Elsevier, vol. 10(C).
    4. 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).
    5. Mitali Sarkar & Li Pan & Bikash Koli Dey & Biswajit Sarkar, 2020. "Does the Autonomation Policy Really Help in a Smart Production System for Controlling Defective Production?," Mathematics, MDPI, vol. 8(7), pages 1-21, July.
    6. Habib Zare & Mahyar Kamali Saraji & Madjid Tavana & Dalia Streimikiene & Fausto Cavallaro, 2021. "An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    7. AlDurgam, Mohammad & Adegbola, Kehinde & Glock, Christoph H., 2017. "A single-vendor single-manufacturer integrated inventory model with stochastic demand and variable production rate," International Journal of Production Economics, Elsevier, vol. 191(C), pages 335-350.
    8. Du, Zhong & Fan, Zhi-Ping & Sun, Fenghao, 2023. "O2O dual-channel sales: Choices of pricing policy and delivery mode for a restaurant," International Journal of Production Economics, Elsevier, vol. 257(C).
    9. 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.
    10. Asif Iqbal Malik & Biswajit Sarkar, 2020. "Coordination Supply Chain Management Under Flexible Manufacturing, Stochastic Leadtime Demand, and Mixture of Inventory," Mathematics, MDPI, vol. 8(6), pages 1-32, June.
    11. Yu, Yunlong & Xiao, Tiaojun, 2021. "Analysis of cold-chain service outsourcing modes in a fresh agri-product supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    12. Mridha, Bablu & Sarkar, Biswajit & Cárdenas-Barrón, Leopoldo Eduardo & Ramana, G.V. & Yang, Liu, 2024. "Is the advertisement policy for dual-channel profitable for retailing and consumer service of a retail management system under emissions-controlled flexible production system?," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    13. Liu, He & Xu, Tianting & Jing, Shuai & Liu, Zhidong & Wang, Shouyang, 2023. "The interplay between logistics strategy and platform’s channel structure design in B2C platform market," European Journal of Operational Research, Elsevier, vol. 310(2), pages 812-833.
    14. Irfanullah Khan & Jihed Jemai & Han Lim & Biswajit Sarkar, 2019. "Effect of Electrical Energy on the Manufacturing Setup Cost Reduction, Transportation Discounts, and Process Quality Improvement in a Two-Echelon Supply Chain Management under a Service-Level Constrai," Energies, MDPI, vol. 12(19), pages 1-32, September.
    15. Luo, Huajiang & Zhong, Ling & Nie, Jiajia, 2022. "Quality and distribution channel selection on a hybrid platform," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    16. Sereshti, Narges & Adulyasak, Yossiri & Jans, Raf, 2024. "Managing flexibility in stochastic multi-level lot sizing problem with service level constraints," Omega, Elsevier, vol. 122(C).
    17. Abbas Hamze & Yassine Ouazene & Nazir Chebbo & Imane Maatouk, 2019. "Multisources of Energy Contracting Strategy with an Ecofriendly Factor and Demand Uncertainties," Energies, MDPI, vol. 12(20), pages 1-24, October.
    18. Xiaoyan Li & Xuedong Liang & Zhi Li, 2023. "The Strategy of Strengthening Efficiency and Environmental Performance of Product Changeover in the Multiproduct Production System," SAGE Open, , vol. 13(3), pages 21582440231, September.
    19. Chen, Jiguang & Hu, Qiying, 2015. "Optimal payment scheme when the supplier’s quality level and cost are unknown," European Journal of Operational Research, Elsevier, vol. 245(3), pages 731-742.
    20. A. Mor & M. G. Speranza, 2020. "Vehicle routing problems over time: a survey," 4OR, Springer, vol. 18(2), pages 129-149, June.

    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:10:y:2022:i:23:p:4517-:d:988502. 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.