- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
Technological advancement and rapid demand changes, lead to shorter life period and booming waste of electronic products. Recycling and reusing activities of electronic products has attracted much attention on the optimization of green supply chain (SC). This study employs system dynamics (SD) model to explore the effect of single strategy and combined scenarios on mitigating inventory amplification, i.e., bullwhip effect (BE) in three-echelon SC. Novel scenario simulation is designed to stimulate recovery activities of electronic waste, decrease solid material depletion and promote clean production. Main thread is as follows: establishing SD model in line with practical operation mechanism, testing the robustness of model, emulating the effect of single strategy and combined scenarios on mitigating BE and finally proposing optimal strategies on the optimization of green SC. Results show that positive recovery activities is an optimal solution in green SC among single strategies; simulated scenarios alleviate the BE largely especially the combination of higher recovery ratio and information transparency reinforcement. Initially, the emulated-mapping of this field helps graphically illustrate the potential optimizeddirections and stimulate individual recovery behaviors in green SC.
This study implements SD model to perform scenario simulation and explore optimal BE-mitigating strategies in the optimization of green SC. A series of validity tests convince the robustness of established SD model. Relevant results are shown as follow: Firstly, green SC refers to eco-management of both forward logistics and reverse logistics, especially the reverse logistics. As a typical phenomenon in green SC, BE leads to enormous inefficiencies such as excessive inventory investment, misguided capacity plans, ineffective transportation, invalid production schedules and so on. Through the mitigation of BE, we could mitigate inventory amplification, reduce the solid material depletion, optimize the whole green SC and obtain economicenvironmental value. Secondly, for single strategy, positive recovery activity is an optimal solution in green SC because of the recycling of electronic waste and reduction of solid material depletion; for the combined strategies (proposed scenarios), the combination of higher recovery ratio and transparency reinforcement proves to be more effective in alleviating the BE largely. Besides, the emulated-mapping of this field helps graphically illustrate the potential optimized-directions and stimulate individual recovery behaviors in green SC. Due to complication of SC structure, joint regulation is an effective method to mitigate rather than to remove BE, and remission efficiency in the superior proves to be more visible. Thirdly, SD model has been widely adopted to alleviate BE issues and reveals obvious advantages, such as investigating the influence of reverse activities on dynamic performance, approaching realistic operation, lower data sensitivity, handling complicated situation etc. The emulated results testify the robustness of SD model in the mitigation of inventory amplification. To summarize all the research content mentioned above and indicate the problems with lucubrate direction, future work can be extended to other aspects and systems. Take the following suggestion as reference.