Pallet Pool System Research Articles

ESG 경제성 실증 연구: 수출용 Returnable Pallet Pooling 시스템 사례연구

This paper analyzes a case study on returnable pallet pooling systems based on the ESG Economic Analysis. ESG management is a key direction in the value-based services for sustainable business as well as to improve competitiveness. The success of the pallet pooling system as a case study for value-based services in sustainable business and ESGs is the most important factor of competitiveness in the export and logistics industry. As ESG is a mega trend in the business world, the export of returnable pallet pooling systems in ESG should provide us with useful insights into valued-based services for sustainable businesses and their environments. The successful case study of company “A”, which proved its economic feasibility by introducing a returnable pallet pooling system that can be reused, is empirically analysed. In this paper, Section II analyzes the literature reviews of the export returnable pallet pooling system. While Section III examines ESG analysis of the export returnable pallet pooling system. Lastly, Section IV analyzes the successful case study of the corporation “A”. In closing, conclusions about the paper are provided in Section V.

Empty Pallet Allocation Optimization in Shipbuilding Using a Pallet Pool System

Pallets are an important transportation tool in modern shipbuilding. With shipbuilding now trending towards larger ships, empty pallet allocation needs to meet the demands of having low costs and being sustainable for green shipbuilding. Thus, with the development of a pallet pool system, a new shipbuilding empty pallet pool allocation (SEPPA) pattern is proposed in this study. An integrated framework is developed that combines a mathematical planning model for a SEPPA pattern with a green allocation strategy. For the base case, the operation costs of the traditional shipbuilding empty pallet allocation (TSEPA) pattern and the SEPPA pattern are solved by applying an improved genetic algorithm for different pallet supply and demand situations. The results show that the SEPPA pattern is more cost-efficient than the TSEPA pattern. With increasing imbalances between supply and demand, the operation costs of the SEPPA pattern are lower than that of the TSEPA pattern. In general, the distribution of supply and demand will affect operation costs. Reasonable safety inventory intervals can reduce the operation costs of empty pallet allocation. This research may support decision making by shipbuilding pallet managers as they seek to minimize the costs of their pallet operations, by adopting practices and adapting strategies for their specific conditions.

Analysis of an evolutionary game of pallet pooling with participation of third-party platform.

Pallet pooling has been widely recognized as an important part of the green supply chain. The development of pallet pooling is an essential component for the transformation and upgrade of the logistics industry in China. Pallet pooling can, however, lead to a conflict over potential benefits among the players. One of the main problems of pallet pooling in China is the reasonable benefit allocation mechanism has not been formed. The pallet pooling system (PPS) with participation of the third-party platform (PPSWPTPP) is one of the pilot modes of pallet pooling in China. Based on evolutionary game theory and a penalty mechanism for breach of contract, this paper constructs a tripartite evolutionary game model of the PPSWPTPP. Eight propositions are set in two basic scenarios regarding whether pallet pooling is adapted to the logistics market to study the stability and dynamic evolution process of the players in the PPSWPTPP. Theoretical and numerical simulation results indicate that these will affect the smooth development of the PPS. The suitable setting of penalties and bonuses, the precise estimation of the pooling benefits, the intention intensity of the players to the pallet pooling, and whether to adapt to the logistics market demand are explored.

LCA기법을 이용한 플라스틱 파렛트 풀링시스템에 대한 환경성 평가

The plastic pallet is a resource-circulating product that minimizes the production of new products through a closed-loop circulation system as a returnable logistics transport tool that recovers plastic pallets that have been used once in the logistics industry and uses them repeatedly through a pooling system. In this study, the environmental impacts of repetition and reuse of plastic pallet evaluated using LCA. And the results were used to compare with single used plastic pallet. The system boundary was set to raw material extraction stage, product manufacturing stage, use(distribution) stage, cleaning stage, and disposal and recycling stage. And use(distribution) stage was analyzed by subdividing into production plants, users, destinations, collection centers, and washing centers. As a result of the analysis of environmental improvement effects, the plastic pallet pooling system showed an average decrease of 73.3% based on the six impact categories compared to single use, and the impact category of resource depletion among the impact categories decreased by 91.5%, showing the greatest effect, and 72.8% environmental improvement effect on global warming.

The Study of Pallet Pooling Information Platform Based on Cloud Computing

Effective implementation of pallet pooling system needs a strong information platform to support. Through the analysis of existing pallet pooling information platform (PPIP), the paper pointed out that the existing studies of PPIP are mainly based on traditional IT infrastructures and technologies which have software, hardware, resource utilization, and process restrictions. Because of the advantages of cloud computing technology like strong computing power, high flexibility, and low cost which meet the requirements of the PPIP well, this paper gave a PPIP architecture of two parts based on cloud computing: the users client and the cloud services. The cloud services include three layers, which are IaaS, PaaS, and SaaS. The method of how to deploy PPIP based on cloud computing is proposed finally.

Investigating the environmental and economic impact of loading conditions and repositioning strategies for pallet pooling providers

Pallets are fundamental assets critical to worldwide supply chain logistics. This research develops models for closed-loop pallet pooling providers to understand the environmental and economic impact of customer characteristics and design options. First, an analytical model is developed to quantify the effects of repair facility location and pallet service conditions on a pallet pooling system's economic and environmental performance. Next, a simulation model is developed to investigate two common operational policies, crossdocking and take-back, and to quantify the impact of pallet handling and loading conditions and customer network structures on several key performance indicators. Results indicate that pallet handling and loading conditions are the most important factors determining the cost and carbon equivalent emission of a pallet pooling operation. Better pallet handling and appropriate loading increase the percentage of pallets that can be repositioned with little or no repair. This increases the radius within which a closed-loop pallet pooling system is feasible. Under random handling/loading conditions and distances, a crossdocking approach satisfies demand with 28% fewer pallets than a take-back policy. This is due to a quicker reissue time under a crossdocking approach. However, associated costs and emissions of the two policies are nearly identical due to the increased transportation costs associated with crossdocking. The models and insights proposed in this work can help support decision making by pallet pooling providers to determine operational regions and customer selection, among other network design trade-offs.

Optimization of Empty Pallets Dispatching Based on Different Transportation Modes

Abstract In the pallet pool system, the differentiation of palletized freight volumes in different regions and seasonal transport of certain goods lead to the imbalance of pallets distribution among regions. It is necessary to improve the utilization of pallets through dispatching. The paper analyzes the factors which affect empty pallets dispatching, it includes carbon emission, transportation time and pallet type based on the pallet pool mode of enterprise alliance. On this basis, the optimization model is established with the goal of minimum total dispatching cost. Then, according to the different influences of railway and highway in transportation cost, the dispatching scheme is analyzed and the transportation mode of empty pallets dispatching is determined. Considering the characteristics of model, Cplex is used to solve it. Finally, a case is used to verify the feasibility and superiority of reasonable empty pallets dispatching in different transportation modes, and the transport characteristics of two transportation modes are analyzed. Moreover, the costs of pallets leasing and dispatching are compared.

Robust Control Optimization of Triple-echelon Closed-loop Pallet Pool System in Multi-uncertain Environment

Robust Control Optimization of Triple-echelon Closed-loop Pallet Pool System in Multi-uncertain Environment