Sustainability dimensions and PM2.5 in supply chain logistics

Hong, Jiangtao; Alzaman, Chaher; Diabat, Ali; Bulgak, Akif Asil

doi:10.1007/s10479-018-3077-7

Cited by 21 publications

(12 citation statements)

References 75 publications

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“…Simulation models have also been used to show the benefits of resource sharing in sustainable logistics systems (Hoffa-Dabrowska and Grzybowska, 2020). Besides, combined optimization and simulation have been increasingly used in sustainable logistics, e.g., infrastructure design (da Silva et al 2017) and network optimization (Hong et al 2019), to take advantage of the strengths of both methods.…”

Section: Industry 40 Enabled Sustainable Transportationmentioning

confidence: 99%

The application of Industry 4.0 technologies in sustainable logistics: a systematic literature review (2012–2020) to explore future research opportunities

Sun

Solvang

et al. 2021

Environ Sci Pollut Res

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Nowadays, the market competition becomes increasingly fierce due to diversified customer needs, stringent environmental requirements, and global competitors. One of the most important factors for companies to not only survive but also thrive in today’s competitive market is their logistics performance. This paper aims, through a systematic literature analysis of 115 papers from 2012 to 2020, at presenting quantitative insights and comprehensive overviews of the current and future research landscapes of sustainable logistics in the Industry 4.0 era. The results show that Industry 4.0 technologies provide opportunities for improving the economic efficiency, environmental performance, and social impact of logistics sectors. However, several challenges arise with this technological transformation, i.e., trade-offs among different sustainability indicators, unclear benefits, lifecycle environmental impact, inequity issues, and technology maturity. Thus, to better tackle the current research gaps, future suggestions are given to focus on the balance among different sustainability indicators through the entire lifecycle, human-centric technological transformation, system integration and digital twin, semi-autonomous transportation solutions, smart reverse logistics, and so forth.

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Section: Industry 40 Enabled Sustainable Transportationmentioning

confidence: 99%

The application of Industry 4.0 technologies in sustainable logistics: a systematic literature review (2012–2020) to explore future research opportunities

Sun

Solvang

et al. 2021

Environ Sci Pollut Res

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“…(3) Objective function and food source evaluation strategy: the artificial bee colony algorithm applied to the shortest path selection of cold chain logistics transportation needs to design a suitable objective function. e objective function considers three optimization goals: the shortest path length goal of cold chain logistics transportation, the shortest path safety goal of cold chain logistics transportation, and the shortest path smoothness goal of cold chain logistics transportation [12]. e objective function of each path designed after weighted synthesis is as follows:…”

Section: Improved Artificial Bee Colony Algorithmmentioning

confidence: 99%

Shortest Path Selection Algorithm for Cold Chain Logistics Transportation Based on Improved Artificial Bee Colony

Liu

2021

Scientific Programming

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Aiming at the problems of low shortest path selection accuracy, longer response time, and poor selection effect in current cold chain logistics transportation methods, a cold chain logistics transportation shortest path selection algorithm based on improved artificial bee colony is proposed. The improved algorithm is used to initialize the food source, reevaluate the fitness value of the food source, generate a new food source, optimize the objective function and food source evaluation strategy, and get an improved artificial bee colony algorithm. Based on the improved artificial bee colony algorithm, the group adaptive mechanism of particle swarm algorithm is introduced to initialize the position and velocity of each particle randomly. Dynamic detection factor and octree algorithm are adopted to dynamically update the path of modeling environment information. According to the information sharing mechanism between individual particles, the group adaptive behavior control is performed. After the maximum number of cycles, the path planning is completed, the shortest path is output, and the shortest path selection of cold chain logistics transportation is realized. The experimental results show that the shortest path selection effect of the cold chain logistics transportation of the proposed algorithm is better, which can effectively improve the shortest path selection accuracy and reduce the shortest path selection time.

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“…Hong et al [30] describe using Monte Carlo simulation for sustainable supply chain. Hong and the other focus in paper not only on economic aspect but also ecological-they pay attention for carbon emissions and PM2.5, which have a negative impact on human health.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation Modeling of the Sustainable Supply Chain

Hoffa-Dąbrowska

Grzybowska

2020

Sustainability

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The development of the global economy affects the environment in which we are living, often in negative ways, including pollutions, exhaust emissions, depletion of natural resources, and other concerns. Therefore, it is so important to use resources in a reasonable, sustainable manner and to be aware of the impact of our activities on the environment, which in the next stage translates into trying to limit negative impacts to the environment. Aspects of sustainable supply chain (SSC) have become more and more popular in the last years. Entrepreneurs pay more attention to the aspect of sustainable development in their activities, especially to exhaust emissions. The rational use of resources is also a very important topic. Not only economic aspects but also environmental and social topics are taken into account in company politics, which is characteristic of sustainable development. The main purpose of this article is to show the benefits of SSC. For this purpose, the simulation models showing the supply chain and the sustainable supply chain will be built. The benefits of SSC in economic and environmental aspects will be presented using a computer simulation tool. Using a simulation tool fits in with sustainability; thanks to modeling supply chains in their virtuality and analysis, many resources can be saved in reality (for example, thanks to the consolidation of freight).

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Sustainability dimensions and PM2.5 in supply chain logistics

Cited by 21 publications

References 75 publications

The application of Industry 4.0 technologies in sustainable logistics: a systematic literature review (2012–2020) to explore future research opportunities

The application of Industry 4.0 technologies in sustainable logistics: a systematic literature review (2012–2020) to explore future research opportunities

Shortest Path Selection Algorithm for Cold Chain Logistics Transportation Based on Improved Artificial Bee Colony

Simulation Modeling of the Sustainable Supply Chain

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