Modeling for Human Resources Management by Data Mining, Analytics and Artificial Intelligence in the Logistics Departments

Graczyk-Kucharska, Magdalena; Szafrański, Maciej; Gütmen, Selma; Golińśki, Marek; Spychała, Małgorzata; Weber, Gerhard‐Wilhelm; Włodarczak, Zbigniew; Kuter, Semih; Özmen, Ayşe

doi:10.1007/978-3-030-61947-3_20

Cited by 7 publications

(5 citation statements)

References 25 publications

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“…Social Responsibility Considerations: While the model incorporates social responsibility aspects, such as driver working hours, further research can delve into more nuanced social factors, such as fair labor practices and ethical sourcing. It would be of great research interest to explore human resource management decisions related to the staffing of truck drivers and warehouse personnel within the current iteration of the problem (Graczyk-Kucharska et al 2020).…”

Section: Discussionmentioning

confidence: 99%

Modeling of sustainable integrated supply chains under the consideration of European Union regulations

Karakostas,

Sifaleras

2024

Cent Eur J Oper Res

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This work introduces a multi-period, multi-commodity, inventory-routing problem with strategic fleet scheduling decisions, under the consideration of speed limits, as well as strict European Union regulations on truck drivers’ working and driving time. To address the new problem, a mixed integer linear programming model was developed. Several artificial but realistic problem instances were randomly generated following relative guidelines from the open literature, to validate and assess the performance of the novel mathematical model. Furthermore, in an effort to produce useful managerial insights, several sensitivity analyses were performed considering different fluctuation rates on key model parameters.

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Section: Discussionmentioning

confidence: 99%

Modeling of sustainable integrated supply chains under the consideration of European Union regulations

Karakostas,

Sifaleras

2024

Cent Eur J Oper Res

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“…Integration of emerging technologies such as the internet of things into MWM to leverage real-time data for the prediction of the amount of waste collected and/or route optimization. For more information, please see Pardini et al (2019), Graczyk-Kucharska et al (2020) and Golpîra et al (2021).…”

Section: Discussionmentioning

confidence: 99%

A sustainable medical waste collection and transportation model for pandemics

Tirkolaee

Aydın

2021

Waste Manag Res

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We are currently experiencing a critical period for the prevention and control of the COVID-19 pandemic. COVID-19 related waste is a threat to global public environmental health. Medical waste management during this pandemic is one of the major issues facing public service organizations such as municipalities, which is of great importance in terms of logistics, environment and social aspects. The discussion of logistics operations is related to the collection, transportation and disposal of waste, which imposes high expenses. Many methods have been applied to develop and improve waste management policies in the literature. Apart from these studies, very few researchers have improved vehicle operations in waste management considering environmental aspects and the possibility of outsourcing. In this paper, by examining the gaps in the field, we try to explain and formulate the sustainable medical waste management problem for pandemics. Finally, by designing several practical examples with different scales, we solve the problem using CPLEX solver, compare different conditions and discuss the practical implications using the sensitivity analysis of demand parameter.

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“…In Brazil, several such facilities have been closed for safety reasons with an attempt to improve recycling methods, but the sites still continue to operate informally [59]. A lack of the required competencies in human resources for operating recycling centers could also be a concern; such concerns have been raised in the context of logistics, see, for example, [29].…”

Section: Limitations and Conclusionmentioning

confidence: 99%

Selectively closing recycling centers in Bavaria: Reforming waste‐management policy to reduce disparity

Schmidt,

Singh

2024

Networks

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Recycling centers sort and process collected waste in the interest of the environment, but also lead to damaging climate effects via released emissions and pollutants in their operation. Consequently, governments are closing such centers to fulfill climate and carbon neutrality goals. However, such closures risk populations being forced to travel further to facilities that collect waste, and can cause an unfair burden on the remaining open centers, thereby reducing participation in recycling. Using a facility location optimization model and mobility survey data within the state of Bavaria in Germany, we show how selective closures of these centers can still lead to high levels of recycling access. Our analysis ensures that even when 20% of facilities are closed smartly, the median travel distance by residents to their assigned recycling center increases by only 450 m. Additionally, we find Bavaria suffers from disparity in recycling patterns in rural and urban regions, both in terms of motivation to recycle and the locations of the facilities. We promote a policy that favors retention of recycling centers in rural regions by reserving 75% of open facilities to be in rural areas, while selectively closing facilities in urban regions, to remove these regional differences. Success of recycling campaigns depends on public perception of closures of such facilities and also on their ease of access. As policymakers gradually implement further closures, such data‐driven strategies can assist in being more transparent to the public thereby increasing the willingness to participate in such recycling programs.

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Modeling for Human Resources Management by Data Mining, Analytics and Artificial Intelligence in the Logistics Departments

Cited by 7 publications

References 25 publications

Modeling of sustainable integrated supply chains under the consideration of European Union regulations

Modeling of sustainable integrated supply chains under the consideration of European Union regulations

A sustainable medical waste collection and transportation model for pandemics

Selectively closing recycling centers in Bavaria: Reforming waste‐management policy to reduce disparity

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