Sustainable inventory management for a closed-loop supply chain with learning effect and carbon emission under the multi-shipment policy

被引:3
|
作者
Kausar, Amrina [1 ]
Hasan, Ahmad [2 ]
Jaggi, Chandra K. K. [2 ]
机构
[1] Univ Delhi, Shaheed Sukhdev Coll Business Studies, Dept Management Studies, Delhi 110089, India
[2] Univ Delhi, Fac Math Sci, Dept Operat Res, Delhi 110007, India
关键词
Reverse logistics; Multi shipment; Supply chain management; Learning effect; Carbon emission; Sustainability; LOT-SIZE MODEL; SINGLE-VENDOR; TIME-VALUE; BUYER; QUALITY; DEMAND; SYSTEM; PURCHASER; PRODUCTS; ACCOUNT;
D O I
10.1007/s13198-023-01978-1
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The key to the success of any supply chain is its strong coordination and sustainability among its supply chain partners. In recent epochs, the attention of big businesses is not only on gaining the maximum profit but also on attaining sustainability. To do so, the entrepreneurs are now focusing on sustainable cost-reducing practices. To achieve this, the present paper develops a closed-loop supply chain (CLSC) model in which the manufacturer produces and delivers the quantity to the retailer per the muti-shipment policy. The learning effect of holding reduces the retailer's holding cost at a constant rate. By adopting a multi-shipment policy, both the manufacturer and retailer can save their holding cost and maintain the product's freshness. Fresh products flow from the manufacturer to the retailer, fulfilling the customer demand. Further, this model also considers the carbon-emissions effect due to the production of items and their holding in the storage for better sustainability; the company collects the defective/used items and bifurcates them into remanufacturable and salvage options. Collecting such units has two benefits. The first is that if the units are remanufacturable, they can be utilized, which will reduce the load on raw material for manufacturing, and if they are not, then they can be disposed of properly. The developed model indicates that remanufacturing options for used items positively impact the environment and triple bottom line (TBL).
引用
收藏
页码:1738 / 1755
页数:18
相关论文
共 50 条
  • [41] A heuristic approach for multi-echelon inventory optimisation in a closed-loop supply chain
    Fokouop, Rodrigue
    Sahin, Evren
    Jemai, Zied
    Dallery, Yves
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2024, 62 (10) : 3435 - 3459
  • [43] A Sustainable Closed-Loop Supply Chains Inventory Model Considering Optimal Number of Remanufacturing Times
    Alamri, Adel A.
    SUSTAINABILITY, 2023, 15 (12)
  • [44] A closed-loop supply chain model with carbon emission and pricing decisions under an intuitionistic fuzzy environment
    B. Karthick
    R. Uthayakumar
    Environment, Development and Sustainability, 2023, 25 : 13859 - 13907
  • [45] Robust optimization of sustainable closed-loop supply chain network considering product family
    Hejazi, Taha-Hossein
    Khorshidvand, Behrooz
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024, 26 (04) : 10591 - 10621
  • [46] Integrated and dynamic design of sustainable closed-loop supply chain network considering pricing
    Nobari, A.
    Kheirkhah, A.
    SCIENTIA IRANICA, 2018, 25 (01) : 410 - 430
  • [47] ANALYSIS OF CARBON EMISSION REDUCTION AND PRICING FOR SUSTAINABLE CLOSED-LOOP SUPPLY CHAIN CONSIDERING THE QUALITY OF RECYCLED PRODUCTS
    Wan, P.
    Ma, L. X.
    Liu, J. N.
    APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2019, 17 (04): : 9947 - 9963
  • [48] A NEUTROSOPHICAL MODEL FOR OPTIMAL SUSTAINABLE CLOSED-LOOP SUPPLY CHAIN NETWORK WITH CONSIDERING INFLATION AND CARBON EMISSION POLICIES
    Kalantari S.
    Kazemipoor H.
    Sobhani F.M.
    Hadji Molana S.M.
    Decision Making: Applications in Management and Engineering, 2022, 5 (02): : 46 - 77
  • [49] Shipment Consolidation Policy under Uncertainty of Customer Order for Sustainable Supply Chain Management
    Kang, Kyunghoon
    Hong, Ki-Sung
    Kim, Ki Hong
    Lee, Chulung
    SUSTAINABILITY, 2017, 9 (09)
  • [50] Optimal Planning of a Closed-loop Supply Chain with Recovery Options and Carbon Emission Considerations
    Mohammed, F.
    Hassan, Adnan
    2020 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM), 2020, : 54 - 58