Cost Optimization of Reverse Logistics

Author(s):  
Sandra Yang ◽  
Atour Taghipour ◽  
Beatrice Canel-Depitre
2021 ◽  
pp. 097215092199601
Author(s):  
Avinash Pawar ◽  
Ashutosh Kolte ◽  
Sangvikar Balkrishan Vasudeo ◽  
Surbhi Jain

Today, reverse logistics (RL) is still considered as an emerging field, despite the fact that it has drawn increasing attention over the last decade and now there is a growing interest in the domain of RL than ever before. Although many firms have yet to recognize the capability of effective RL, some firms have realized the strategic importance of RL and initiated deployment of thoughtful investments in functions and systems of their RL practices. Nowadays, RL is considered as a crucial activity for the survival of companies. This article deliberates on RL, cost optimization (CO) and return strategies (RS), along with their implications for small and medium enterprises (SMEs). Information is collected from 420 SMEs using judgemental sampling. On the basis of the literature, the framework of the study is proposed and further analysis is performed using a reliability assessment, normality and adequacy examination, evaluation of the homogeneity of variances, development of the structural model with coefficients and testing of the model through fitment analysis. The outcome of the study highlights that there is no direct causal association between RL and CO; however, there is an indirect association through RS. It is observed that there is a significant cause-and-effect association between RL and RS, as well as a significant cause-and-effect association between RS and CO, in SMEs.


Author(s):  
Antonio Serrano Elena

This paper focuses in the use of search metaheuristic techniques on a dynamic and deterministic model to analyze and solve cost optimization problems and location in reverse logistics, within the field of municipal waste management of Málaga (Spain). In this work we have selected two metaheuristic techniques having relevance in present research, to test the validity of the proposed approach: an important technique for its international presence as is the Genetic Algorithm (GA) and another interesting technique that works with swarm intelligence as is the Particles Swarm Optimization (PSO). These metaheuristic techniques will be used to solve cost optimization problems and location of MSW recovery facilities (transfer centers and treatment plants).DOI: http://dx.doi.org/10.4995/CIT2016.2016.3163 


2016 ◽  
pp. 77-93 ◽  
Author(s):  
E. Dzhagityan

The article looks into the spillover effect of the sweeping overhaul of financial regulation, also known as Basel III, for credit institutions. We found that new standards of capital adequacy will inevitably put downward pressure on ROE that in turn will further diminish post-crisis recovery of the banking industry. Under these circumstances, resilience of systemically important banks could be maintained through cost optimization, repricing, and return to homogeneity of their operating models, while application of macroprudential regulation by embedding it into new regulatory paradigm would minimize the effect of risk multiplication at micro level. Based on the research we develop recommendations for financial regulatory reform in Russia and for shaping integrated banking regulation in the Eurasian Economic Union (EAEU).


2011 ◽  
Vol 3 (2) ◽  
pp. 118-120
Author(s):  
Salma Shaheen ◽  
◽  
Tazyeen Ahmad

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