A system dynamics model for improving the reverse supply chain using the IoT in the household appliances sector

被引:0
作者
Cortes-Pellicer, Pascual [1 ]
Alarcon, Faustino [2 ]
Perez-Perales, David [2 ]
机构
[1] Univ Politecn Valencia, Dept Business Management, Valencia 46022, Spain
[2] Univ Politecn Valencia, Res Ctr Prod Management & Engn CIGIP, Valencia 46022, Spain
关键词
Household appliances; Internet of Things; Reverse logistics; Supply chain management; System dynamics; Smart homes; CIRCULAR ECONOMY; BIG DATA; THINGS; IMPACT; SIMULATION; MANAGEMENT; INTERNET; METHODOLOGY; FRAMEWORK;
D O I
10.1007/s10479-025-06505-y
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
The Internet of Things (IoT) is a global platform of Internet-connected smart devices that allows manufacturers to sensorize marketed products. Such products can provide manufacturers with feedback about relevant information, such as their status, use and location, which contributes to significantly reduce uncertainty in the time, quantity and quality of the products recovered during the reverse logistics (RL) process. This sensorization is especially simple in connected appliances given the ease of installing sensors inside. This work shows the convenience of using the IoT in the RL process of the household appliances sector by analyzing the impact on recovery management. To do so, it proposes a simulation model based on system dynamics. The main findings indicate that the IoT permits more reverse supply chains' inventory by significantly increasing collected products' average value. This, in turn, allows for more backorder demand to be met and improves the client service level. In light of all this, we conclude that the average RL process profit made with an IoT model is significantly better than the RL process without such a model. With this simulation model, it should also be noted that interoperability and communication improve throughout the supply chain, which allows better decision making.
引用
收藏
页数:29
相关论文
共 67 条
  • [51] System Dynamics modelling of a production and inventory system for remanufacturing to evaluate system improvement strategies
    Poles, Roberto
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2013, 144 (01) : 189 - 199
  • [52] Prez-Perales D., 2018, Industry 4.0: A classification scheme, P343, DOI [10.1007/978-3-319-58409-638, DOI 10.1007/978-3-319-58409-638]
  • [53] Designing a hybrid system dynamic model for analyzing the impact of strategic alignment on project portfolio selection
    Rad, Farzad Haghighi
    Rowzan, Seyed Mojtaba
    [J]. SIMULATION MODELLING PRACTICE AND THEORY, 2018, 89 : 175 - 194
  • [54] Impact of big data on supply chain management
    Raman, Seetha
    Patwa, Nitin
    Niranjan, Indu
    Ranjan, Ujjwal
    Moorthy, Krishna
    Mehta, Ami
    [J]. INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2018, 21 (06) : 579 - 596
  • [55] Bottom-up approach based on Internet of Things for order fulfillment in a collaborative warehousing environment
    Reaidy, Paul J.
    Gunasekaran, Angappa
    Spalanzani, Alain
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2015, 159 : 29 - 40
  • [56] System dynamics modeling for sustainable supply chain management: A literature review and systems thinking approach
    Rebs, Tobias
    Brandenburg, Marcus
    Seuring, Stefan
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 208 : 1265 - 1280
  • [57] The Internet of Things and the circular economy: A systematic literature review and research agenda
    Rejeb, Abderahman
    Suhaiza, Zailani
    Rejeb, Karim
    Seuring, Stefan
    Treiblmaier, Horst
    [J]. JOURNAL OF CLEANER PRODUCTION, 2022, 350
  • [58] IMPERFECTION WITH INSPECTION POLICY AND VARIABLE DEMAND UNDER TRADE-CREDIT: A DETERIORATING INVENTORY MODEL
    Roy, Sankar Kumar
    Pervin, Magfura
    Weber, Gerhard Wilhelm
    [J]. NUMERICAL ALGEBRA CONTROL AND OPTIMIZATION, 2020, 10 (01): : 45 - 74
  • [59] Systematic review studies: a guide for careful synthesis of the scientific evidence
    Sampaio, R. F.
    Mancini, M. C.
    [J]. REVISTA BRASILEIRA DE FISIOTERAPIA, 2007, 11 (01): : 83 - 89
  • [60] Network design for reverse logistics
    Srivastava, Samir K.
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2008, 36 (04): : 535 - 548