CHAPTER SIX: CONCLUSION AND RECOMMENDATIONS

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1.     CHAPTER SIX: CONCLUSION AND RECOMMENDATIONS

Conclusion

Towards the end of this research work, it can now be concluded that the researcher has proficiently documented a research study that is relevant in practical. The discussion on constraints regarding the container loading issues has been categorised through thorough identification. Additionally, the researcher has also competently analyzed how all these related constraints are taken under consideration in the literature sources like articles, peer-reviewed journals that has been published over the last few decades. Moreover, it can be inferred that significant investigation in terms of container loading field is considerably dealing with paradigm issues has scored the foremost consign, however problems in relevance to the concerned topic have frequently been mistreated in reality. In this research work, stability and orientation constraints has been considered quite often while others like loading priorities and shipment constraints are hardly approached. It has been very clear that container-loading issues in recent times are often featured by the realism that numerous constraints should be dealt with concurrently. In this research work, the literatures addressing this issue have been professedly reviewed.

Amongst the prospectivemodifications, the researcher has identified that only combining container loading as well as automobile routing issues are proficiently scrutinized in a considerable figure of journals. Taking under consideration a bit more the theoretical point of view it can be concluded that the perception of container loading has never been acutely convincing. Modelling approaches applied in a variety of problem types has been in acute scarce so far. Being specific, in regards to the consideration of pertinent constraints in practice, research works are still having the impression of being in its infancy stage. Computational outcomes on a typical data set reflect that the proposed modeling approach could outperform the most well known algorithm in all test data. 

In this paper, the strategic adoption of twp-phase actual number encoding strategy has been analysed whereby the design of cargo shipment has been extensively prioritized with the introduction, defining and solving the 3D flexibility container packing issue. The researcher has strategically modelled this container loading issue as a sequence of decision-making problem and afterwards proposed a multi-tasking framework depending on relevant learning outcomes for generation of a packing progression as well as orientations at the same time that can proficiently make use of correlation as well as mitigate disproportion in between the two concerning tasks. The researcher in due course has also adopted an intra-attention device for addressing of the repeated goods problem appropriately and therefore used the proposal of dynamic mutation operators that has been designed depending on genetic logs for acute prevention of weak convergence, which might outcome from changes in coding algorithm and thereby focused on learning a more reasonable orientation strategy.

Due to presence of huge practical impact, the researcher has strategically focused on the problem of packing cubical shaped goods in an orthogonal fashion considering least surface area in the container. The prevalent heuristic techniques for the classic 3D container loading does not turn out to be well because of this specific NP-hard issue and thereby designing a concerning heuristic specific to the aroused issue has become non-trivial. In this research work, instead of designing heuristics, the researcher has promisingly proposed a novel multitasking outline stringently depending on Selected Learning for apprehending a heuristic like procedure, which is effective in generation of the sequence as well as orientations of goods that are to be packed concurrently. The researcher has analysed numerous comprehensive experiments that are in relevance to real-world transaction order dataset and online tests.

The selected two methods that have been considered in this research work trades off the discrepancy as well as correlation between the tasks and radically outperforms only task Pointer Network as well as multi-task network devoid of selected learning.  The researcher through the implementation of dynamic mutation operator method and two-phase actual number encoding strategy has obtained an average cost reduction compared to the well-designed greedy algorithm that has been previously utilised in mitigating container-loading issue. With the utilization of weak and strong heterogeneous data, the researcher has proficiently analysed these approaches concurrently for testing the effectiveness of proposed methods. 

Recommendation

During pursuance of this research work and in due course analysing the various algorithmic implications for the betterment of container loading issue faced in various industries associated with logistics, the researcher has chalked out some strategic recommendations. These recommendations with proper investigation and implementation can be profitable and beneficial for mitigating the issue of container loading.

Firstly, a packing algorithm can be developed for solving this optimization issue in case of packing relevance to 3D model, where the competence swiftly diminishes because of the complexity of form that will outcome in extreme operational times. Furthermore, it can be strategically implemented on “3D CAD modeling system”. The packing algorithms should be poised depending on group technology methodology. An extensive analysis on the work performance of employees should also be evaluated. The developed program has to be competent for comparing similarity of objects, interfering consciousness and finally execution in between objects, positioning of decisions about objects, orientation comparativeness in between objects and most importantly loading simulation. The effectiveness of the projected algorithm should be checked up prior to its implementation and is necessary to be verified with the outcome by enforcing a genetic algorithm. Through the improvisation of 3D packing method by making use of group technology technique, storage optimization followed by loading as well as unloading ease can be ascertained. Moreover, inclusion of different engineering activities like analysis of work performance can be done by using such 3D model.

Secondly, a three-dimensional knapsack issue to container loading can be strategically presented and implemented. The packing has been so far considered orthogonal in this research and concerning other previous research as well; boxes has been rectangular in shape, which can easily be rotated freely. Enforcement of a mixed integer linear programming model can be proposed for mitigation of this problem, and it should priory considers some convenient constraints like rotation of boxes, vertical stability as well as replacement of boxes. For solving a large instance in a even-handed time, a heuristic algorithm can be acutely proposed depending on the simulated annealing technique. The methodology should be based on progression triple representation. This proposed recommendation can be securely considered in finding a high deployment of the container and this will eventually decrease transportation cost as well as goods traffic during focusing on incrementing the constancy of the load. In practice, there should be some managerial implications as well which will help in appropriate decision-makers for being more cost-efficient in recent future.

Thirdly, researches carried out following heuristic algorithms have been more advanced, even though the problem to satisfy numerous constraints concurrently is yet addressed, however not pleasingly. Soft constraints, which are although of substantial application in reality, have still not been dealt with extensively. It can be recommended that multi-objective strategies are appearing as a convincing set of resolution methods that might be effective to resolving the most concerning issue of container loading in logistics further.

Fourthly, with the purpose of allowance of a reasonablecontrast based on newly developed algorithms, problem generators as well as confronting sets of test issue occurrences should be availed for utilization in case of numerical experimentations. It can be recommended that Test problem sets can be effectively revised that are currently in use, which seems to be obsolete and on necessity does not reflect the inevitability of including practically relevant constraints in container loading. These related problems are necessary to be addressed with the purpose of allowing modeling as well as solving pragmatic container loading issue in day-to-day practice. It should be made acutely clear that the field of container loading are not offering an outsized research challenges that are diverse and intriguing previously.

Limitations in this research

It will be very vague that a research study has been pursued and there have been no limitations in the proceedings of its acute completion. Study limitations are able to exist because of constraints in terms of research design and methodology. These factors have highly influenced the key findings of this research study. However, the researcher has been reluctant of discussing the limitations faced in this study in papers with the perception that by highlighting the limitations may possibly perhaps undermine the value of the research in the perspective of reviewers as well as readers. The limitation faced by the researcher in this project has been briefed below with specification:

Intense lack of previous research works in the field of container loading has been a concerning challenge that has limited the strategic analysis of key aspects related to the research topic. Referencing as well as citing prior to research studies has constituted the basis of the literature review for this thesis or research study and these aforementioned studies has provided only the theoretical foundations of the formulated research question that the researcher has been investigating.

Furthermore, there is lack of timethat restricted the researcher for in-depth understanding and analysis of previous research works. As the researcher has to complete the project within a less time, the researcher has opted for secondary data collection and analysis method. This could have been more accurate and presentable to the readers if the researcher could have applied quantitative data analysis methods, which could not be possible due to lack of time and money as well. The lack of moneyhas also restricted the researcher to register in paid websites for accessing most recent journals. The foundations and strategies that has been reflected and pursued in this research work is only dependent on the freely available scholarly articles, which lacks documentation of most recent implications followed in contemporary process of solving container loading issue. 

Future scope

For the future research, boxes along with the non-integer dimensions should be taken under consideration. This will opportune in addition of more flexibility in the solution approach. Furthermore, irregular shaped and non-rectangular boxes should also be considered in the future proceedings of this research work.

This research work can be further developed depending on the techniques, instruments and methods used for collection of data. After the completion of the analysis of research findings followed by the discussion section, the researcher has realized that the approach by the enforcement of which the researcher have collected the necessary information. The behaviours following which the researcher have measured the concerned variables related to container loading problem has significantly limited the researcher’s capability of conducting a thorough analysis on the outcomes. For instance in this research work, the researcher has realized that he should have concerned with and addressed the research question with conductance of a survey process which would have been another feasible perspective. In such instance, the researcher has acknowledged the deficiencies by stating the necessity for future researchers to improvise their specific techniques for collection of information, which is accurately inclusive of these related missing elements.

While pursuing this research study, it is imperative of having a satisfactory sample size with the purpose of concluding the research result with acute validation. In future research work extending from here, consideration of the larger sample size will opportune in gaining results that are more precise. As the researcher in this research study has followed secondary data collection method there has been no consideration of sample size in the respondent’s selection process. In case the sample size has been chosen too small in future, it will be easier said than done in identification of significant relationships from the collected data. Normally, implementation of statistical tests will require an outsized sample size for ensuring that the sample has been considered as a representative of a population which will eventually opportune in generalization of statistical data to a larger population.

 

 

 

 

 

 

 

 

 

 

 


 


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