Optimizing the exhaust emission from logistics and packing industries, by means of green logistics

Abstract

The product packing, is an essential process for preserving the product but it also emits higher percentages of green house gases to the atmosphere, while decomposing it. Therefore, it leads to a new science named ‘Green packing’, which deals with the process of identifying Eco-compatible materials for packing. This article aims at detecting: the high performing packing factor for green house gas emission and also to develop an optimized values for packing enterprises to mitigate the emission. The results achieved shows that packing material selection has a huge influence on green house gas emission.

Vehicle Exhausts Emission Process Parametric Optimization and Selection using the Fuzzy-Knapsack Dynamic Programming-EDAS Method for Logistics Application

“…This problem is even more compelling as governments in several countries experience increased health costs, which they have to subsidize for their citizens [6,11,27,28]. This health problem is largely associated with emissions from vehicles, which may be the cause of breathing difficulties, eye problems and lung disorders [3,5,12]. Country-wide studies between emission and health effects were conducted in some countries such as China [13,14,22,26,29], and Thailand [17].…”

“…Moreover, extensive studies in the academic and logistics domain reveal that the emerging interest in optimizing exhaust emissions in packaging industries has been limited [2,7]. However, the study by Benrajesh and Rajan [3], which appears as the major and representative study in this group, seems to focus on the optimal parametric determination side. It was initiated by the establishment of the key exhaust emission factors, introducing the diverse levels of these factors, and determining the signal-to-noise ratios and the average signal-to-noise ratios of these exhaust emission process parameters.…”

“…Unfortunately, there is no mature technical outcomes with a particular interest in analyzing the combined optimal solutions and display selection preferences of exhaust emission process from the standpoint of logistics and packing industry applications. Apart from the intuition used in practice, the newly suggested solution by Benrajesh and Rajan [3] terminates discussions at the optimal parametric setting determination. To the best of the present authors' knowledge, logistics and exhaust emission process from the standpoint of combined optimization and selection have not been considered in the relevant literature.…”

“…Also, the EDAS method has gained popularity for its success in engineering and logistic practice and analysis [19]. Admittedly, while Benrajesh and Rajan [3] limited their explorations to the Taguchi application alone, consideration of the robust choice and optimization attribute of the 0/1 knapsack dynamic programming scheme has been ignored. Further, the interactive features of the EDAS framework incorporating the factors using some special elements to distinguish beneficial from nonbeneficial parameters and subsequently classify parameters according to the order of importance is also ignored in previous studies [3,19].…”

“…Admittedly, while Benrajesh and Rajan [3] limited their explorations to the Taguchi application alone, consideration of the robust choice and optimization attribute of the 0/1 knapsack dynamic programming scheme has been ignored. Further, the interactive features of the EDAS framework incorporating the factors using some special elements to distinguish beneficial from nonbeneficial parameters and subsequently classify parameters according to the order of importance is also ignored in previous studies [3,19]. Besides, there is a potential interaction omitted previously among Taguchi's method elements of delta values and optimal parametric settings, the identified optimal values in a streamlined manner from the 0/1 knapsack dynamic programming method and their use as weight criteria for the EDAS method.…”