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"LOGISTICS CHAIN"
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New Methodology for Evaluating Logistics Chains in Internal Logistics
In a globalized economy, effective management of international logistics chains is a key factor for maintaining competitiveness and successful trade. The present study updates the methodology for evaluating logistics chains based on the Logistics Performance Index (LPI) data developed by the World Bank, focusing on the Visegrad Four countries (Czech Republic, Poland, Slovakia and Hungary). The aim of the new methodology is to identify trends and changes in the field of modernization of transport infrastructure, efficiency of customs processes and implementation of digital technologies, including the application of Industry 4.0 solutions. In addition, the study also addresses the impact of environmental measures, such as the European Green Deal, on reducing the carbon footprint and supporting the sustainable development of supply chains. The results obtained indicate that investments in modernization technologies and digitalization of logistics services are essential for increasing efficiency and competitiveness logistics subjects in the international market. The proposed recommendations aim to strategically improve infrastructure and digital capacities, which has the potential to contribute to the sustainable development of logistics chains in a globalized economy.
Journal Article
Monitoring of vehicle degradation in fleets of companies involved in the logistics chain with a combination of roles
Companies operating transportation fleets can participate indistinctly in the roles of logistics operator and marketer in the supply chain. The objective of this study is to propose the vehicles degradation monitoring in a company which takes part with a combination of roles in the supply chain, thru the availability indicator, a control limit based on the impacts on the economic result of the vehicles operation and considering the subcontracting influence. This proposal permits to identify the vehicles that impact positively or negatively on the entity economic result and thus the detection of opportunities for improvement. The classification of the impact of the vehicle is done by the graphical method through the Rationality Status Chart. The proposal application to a real fleet allowed to identify the vehicles that negatively impact the economic results. Concordance analysis is used to validate the results, obtaining an almost perfect degree of general agreement.
Journal Article
Supply Chain Logistics, Trade Facilitation and International Trade: A Macroeconomic Policy View
Trade facilitation (TF) is the rubric that covers the research and policy analysis on impediments to global sourcing and multinational supply chains that are not the traditional border barriers such as tariffs or quotas. Trade‐facilitation research offers a macroeconomic perspective on how policymakers should change the environment facing business to promote international trade and economic growth, whereas the microeconomic perspective of supply‐chain logistics considers how a business should organize its operations given the policy environment. Four approaches to trade‐facilitation research that are oriented toward measuring the policy environment facing business are covered in this review: country benchmarking, country or product case study, deep econometric analysis of one type of trade facilitation and econometric analysis of multiple trade‐facilitation issues faced by businesses across multiple countries. All told, the research shows that the links between improved trade‐facilitation policies and business global sourcing through international trade are positive, although which policy reforms support more global sourcing is unique to each country, depending on the products and supply chains that the country is part of, and initial conditions. Even so, a key finding that spans the research is that unilateral policy reforms within a country can expand international trade more than multilateral trade negotiations, and that trade‐facilitation reforms tend to improve the country's supplier position more than its buyer activities. Moreover, adherence to International Organization for Standardization (ISO) and use of information technology are particularly important, confirming that ISO certification has become the “price of admission” for many supply chains.
Journal Article
A two-stage decision-support approach for improving sustainable last-mile cold chain logistics operations of COVID-19 vaccines
The COVID-19 pandemic has become a global health and humanitarian crisis that catastrophically affects many industries. To control the disease spread and restore normal lives, mass vaccination is considered the most effective way. However, the sustainable last-mile cold chain logistics operations of COVID-19 vaccines is a complex short-term planning problem that faces many practical challenges, e.g., low-temperature storage and transportation, supply uncertainty at the early stage, etc. To tackle these challenges, a two-stage decision-support approach is proposed in this paper, which integrates both route optimization and advanced simulation to improve the sustainable performance of last-mile vaccine cold chain logistics operations. Through a real-world case study in Norway during December 2020 and March 2021, the analytical results revealed that the logistics network structure, fleet size, and the composition of heterogeneous vehicles might yield significant impacts on the service level, transportation cost, and CO2 emissions of last-mile vaccine cold chain logistics operations.
Journal Article
A green vehicle routing model based on modified particle swarm optimization for cold chain logistics
Purpose
This paper studies green vehicle routing problems of cold chain logistics with the consideration of the full set of greenhouse gas (GHG) emissions and an optimization model of green vehicle routing for cold chain logistics (with an acronym of GVRPCCL) is developed. The purpose of this paper is to minimize the total costs, which include vehicle operating cost, quality loss cost, product freshness cost, penalty cost, energy cost and GHG emissions cost. In addition, this research also investigates the effect of changing the vehicle maximum load in relation to cost and GHG emissions.
Design/methodology/approach
This study develops a mathematical optimization model, considering the total cost and GHG emission. The standard particle swarm optimization and modified particle swarm optimization (MPSO), based on an intelligent optimization algorithm, are applied in this study to solve the routing problem of a real case.
Findings
The results of this study show the extend of the proposed MPSO performing better in achieving green-focussed vehicle routing and that considering the full set of GHG costs in the objective functions will reduce the total costs and environmental-diminishing emissions of GHG through the comparative analysis. The research outputs also evaluated the effect of different enterprises’ conditions (e.g. customers’ locations and demand patterns) for better distribution routes planning.
Research limitations/implications
There are some limitations in the proposed model. This study assumes that the vehicle is at a constant speed and it does not consider uncertainties, such as weather conditions and road conditions.
Originality/value
Prior studies, particularly in green cold chain logistics vehicle routing problem, are fairly limited. The prior works revolved around GHG emissions problem have not considered methane and nitrous oxides. This study takes into account the characteristics of cold chain logistics and the full set of GHGs.
Journal Article
Warehouse location optimization in fresh cold chain logistics based on PSO-GA
This study focuses on the site selection problem of fresh cold chain logistics warehouses, using a site selection model to minimize operating costs, improve distribution efficiency, and meet customer needs. The model covers warehouse location selection, special requirements for the fresh and cold chain, and organization of delivery routes. At the same time, a solution algorithm combining genetic algorithm and particle swarm optimization algorithm is proposed to solve the problem of location selection model. This hybrid algorithm encodes the layout problem of logistics points into a chromosome problem in genetic algorithms and utilizes particle swarm optimization to improve the efficiency of the search process and avoid early convergence difficulties. The results indicated that the improved algorithm was more effective than the ordinary genetic algorithm. After only 100 iterations, the objective function value of the algorithm decreased to approximately 31,500. The average total delivery cost of the model was reduced to 75.8369 million yuan, and the calculation was completed within 75 s, with significant efficiency. Therefore, this model can effectively assist logistics enterprises in accurately formulating economically effective distribution plans, achieving the optimal balance between cost and efficiency.
Journal Article