Abstract
During the last two decades, global market competitiveness has reached higher levels between companies operating worldwide. A situation that results from the new growing trends of globalization, the effects of the COVID19 pandemic on the whole world, and sustainability challenges. So, to maintain a sustainable supply chain in the current context, many enterprises choose to invest in logistic collaborations with presumed partners. Hence, logistic collaboration seems to be an efficient solution for companies willing to share their resources in order to reduce transport costs, CO2 emissions, congestion along with traffic accidents. 73 scientific articles have been collected and studied as part of a systematic literature review about optimization of collaborative transport and distribution strategies. So, this study aims to analyze the existing literature on this topic to find gaps and opportunities for future research. The results highlight the most to the less studied types of collaboration and trending resolution techniques used.
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1 Introduction
In the last years, globalization is enhancing the development of new technologies, which both, have a huge impact on the worldwide economy. The transport and logistics sectors, playing an important role in the economic growth, are also affected. Since both enhance national and international trading, moreover uphold the economy’s recovery specifically during and after global economic crises such as the one caused by COVID19 pandemic. In addition to struggles related to globalization and digitalization, sustainability challenges are becoming more and more intense to be unignorable due to the establishment of laws, by many countries, concerning, environmentally, the reduction of carbon prints and the reduction of greenhouse gases, to prevent more of the global warming consequences on the planet. Many solutions were advanced by multiple firms along with research of the field, solutions that aimed to increase a firm’s profitability and its competitiveness, moreover sustain its development. As one of the solutions, many companies, particularly, choose to commit into collaborations.
Whether concerning freight transportation or passengers’ transportation in normal daily life or in case of emergencies, many organizations choose to combine their efforts in order to gain advantages they struggled to achieve alone. These alliances that concern particularly the transport of goods and people, are technically referred to as logistic collaborations or logistic pooling.
Since the existing review articles aimed to find research gaps and most studied research topics based on a categorization decision making levels, this paper aims to examine recent studies conducted on the optimization of collaborative transport and distribution strategies in the last decade, to establish the existing state of the art of the subject and find the emerging trends used in solving issues related to collaboration between organizations under sustainability challenges, also to identify research gaps and future research opportunities.
The remainder of this paper shall be organized into 5 sections. Research methodology, Sect. 2, explains the methodology used while elaborating this review. Section 3 shows the Results of the systematic review conducted. As Sect. 4, Discussion, is dedicated to discuss the findings of this study. Finally, the last section summarizes the whole work.
2 Research Methodology
Since this work concerns a state of the art on the subject of the optimization of collaborative transport and distribution strategies, a Systematic Literature Review is conducted. It includes 5 major steps. The first step revolves about the formulation of the search question then fixing the appropriate keywords for the review. The second step concerns the definition of both inclusion and exclusion criteria. The third step is a search step applied upon eligible databases. Whereas, papers are selected in the fourth step, discussed then the results are analyzed. Finally, reporting the results comes as in the last step. [1].
2.1 Aim of the Research and Keywords
The aim of this research, as mentioned above, is to examine the existing literature on the logistics and transport field concerning the optimization of collaborative strategies of transport and distribution. Thus, this review article answers the following questions: What are the trending technological solutions used among collaborating organizations nowadays? And what are the issues related to logistic coalitions that are yet to be studied?
After formulating the search questions of the systematic review, the choice of the keywords remains the second most crucial step, since they enable to focus, localize and limit the study. In this case, two categories of keywords were established. The first category, referred to as the main category which is related to the field of the search, includes: “optimization”, “logistics”, “supply chain”, “transport” and “distribution”. And the second category contains the vocabulary related to collaboration, it includes: “collaborative”, “cooperative”, “coalition”, “pooling” and “alliance”.
2.2 Inclusion and Exclusion Criteria
In order to select the most appropriate articles related to the search questions, a list of inclusion and exclusion criteria is established. The following table, Table 1, identify those criteria distinctively for the purpose of limiting the literature search.
2.3 Databases
Before selecting papers for the study, it is important to identify the source databases that are selected for the search. So, in this paper, many electronic resources are chosen, including: Web of Science, ScienceDirect, Scopus, Emerald Insight, Taylor & Francis, Wiley Online Library, IEEE Xplore, Google Scholar and Springer.
2.4 Papers’ Selection
The selection of papers for this review shall be done through the application of filters using inclusion and exclusion criteria after entering keywords of the search in the selected databases. Once the results are shown, it is important to identify the most relevant of the papers to focus on.
2.5 Results’ Reporting
Once the papers for the study are selected, the next step is to read them thoroughly, analyze them, then discuss their results. Above all, a descriptive analysis should be conducted, papers need to be classified, and studies are yet to be categorized according to the research methodology used. After that, an in-depth conclusion is to be made about the conducted analysis of the literature identified. This conclusion will help in determining the current trends in the topic, identifying research gaps along with future research opportunities.
3 Results
First, in the preselection phase, a number of 122 articles were selected, including articles that mainly discussed urban traffic, public transport, in addition to vehicle rooting problems. The first-hand chosen articles were analyzed to know about research advancements on those subjects and make comparison between collaborative and non-collaborative scenarios. These articles were eliminated from through the selection process, resulting in a total of 73 selected articles that are appropriate to the research theme.
3.1 Selected Papers
The Table 2 below contains research papers that were selected according to the research methodology described in the previous section. Information on the papers as per their title, their type, and the year of publishing are collected and presented.
3.2 Statistical Descriptive Analysis
After collecting all necessary data about the selected works for this review, the number of papers, dealing with the subject of the study “Optimization of Shared transport and distribution strategies”, is quantified per year in the time frame chosen between 2012 and the first trimester of 2022. This is shown in the Fig. 1 below.
As it is seen, the number of works that deals with Collaboration transport and distribution strategies and their optimization has been growing over the last decade, which proves the importance of the subject between the researchers and the scholars’ community. As per the type of the papers selected, it is remarked that a majority of 58 paper works tend to be research articles which is slightly less than 80% of the whole. While more than 20% of the remaining works are divided between: 8 conference papers, 7 review articles and one book chapter.
3.3 Categorization and Content Analysis
Since the statistical data analysis has been done, the next step of the systematic literature review needs to be conducted. It consists of a classification and categorization of the papers selected in Table 1. This categorization mainly distinguishes between papers based on the types of collaborations studied depending on the stakeholders engaging in, and the characteristics of those collaborations. In addition to that, another classification differentiates between these papers depending on the resolution techniques used in these studies.
3.3.1 Types of Collaboration
Business-to-business collaborations
Many researchers got interested in logistic collaborations between firms and collaborative supply chain, whether it being a vertical collaboration, a horizontal or a lateral one. Among those researchers, in this work [4], authors were interested in quantifying the benefits of implementing a collaborative strategy economically, socially and environmentally in integrated inventory, location and routing decisions. While in [67] the problem of selection of the optimal network design scheme for Collaborative Logistic Networks under uncertainty was studied. Others were interested in collaboration between firms operating in the food industry [42], where researchers quantified the effects of multi-stop transportation on food quality while taking in consideration the unloading time, both internal and external temperature for the transportation vehicles, driving speed and cooling rate.
Public-private collaborations
Some researchers got rather interested in logistic collaboration forms between public and private organizations. This work [16] shed light on this kind of collaborations under an emergency context. Based on game theory and logistical concepts, a framework is developed for public-private emergency collaborations. The developed framework unraveled the constraints of partnership for each of the public organizations and the firms, and its effects on both, especially the reputational ones. While in [8], authors got interested in the collaboration that can be formed during disaster cases, between humanitarian organizations and logistics service providers. It identified the benefits of such collaboration and the challenges that it faces. It also shows how crucial and efficient of a collaboration it is in saving human lives in case of disasters.
City logistics collaborations
The majority of researches done on collaborative logistics focused on city logistic collaborations and last-mile freight transport. Researchers studied Courier, Express and Parcel (CEP) carriers engaging in horizontal collaboration, and developed a blockchain decision framework for last-mile distribution in the context of micro-hubs [31]. Others proposed a new architecture for the management of Cooperative Intelligent public Transport Systems (C-ITS) in Smart cities. An architecture that enhances collaboration between participants to the eco-system’ mobility, that is constantly updated and that is sustainable [64].
3.3.2 Trending Resolution Techniques
Blockchain technology
Since its appearance in 2009, blockchain technology has been used in different field others than the environment where it was initially developed, that is cryptocurrency. It showed its benefits in the logistic and transport field for enabling safe tracking of goods and vehicles and many other advantages. It is now mainly used between firms committing in horizontal coalitions, as it keeps transparency of transactions and ensures that the shared informations between different stakeholders remain confidential supporting by then the trust among them. In this work [2], authors modeled a framework used in collaborative resource sharing context based on blockchain. Models were designed through UML diagrams and BPMN models, while smart contracts are to be verified and validated through an algorithm developed simultaneously. In this paper [54], authors explored the combination of Digital Twins and Blockchains as two highly useful technology in the Industry 4.0 era, and they proposed a framework applied for collaborative smart transportation.
Multi-agent-based frameworks
Another highly adopted resolution method consists of adopting multi-agent-based frameworks. In this work [39], researchers explore a new way for simulating combat along with military logistics effectiveness during times of peace. They propose a model for military logistics based on multi-agent model and profit-sharing reinforcement learning algorithm. Both the developed model and the proposed algorithm show their feasibility and validity through simulation experiments. The algorithm gives more accurate results for a high number of simulations, and the simulation results are proved to be highly consistent with actual war experiments according to military experts. Another work investigates the issue related to collaboration planning in logistics and proposes an agent-based approach embettering the management of collaborative logistics [37].
4 Discussion
Hence, after reporting the literature contents on the subject of “Optimization of collaborative transport and distribution strategies”, here we state the research gaps and the topics of literature on the subject had remained scarce, and consequently identify. First, we remark that collaboration strategies, in the literature, mainly focus on city logistics and road freight transport. However, a combination of transport means under a collaborative strategy is yet to be addressed. Due to the importance given to the multimodal transport for people and goods, it is necessary to study its effect while combined with a horizontal or lateral collaborative strategy especially in the industrial context. Second, the majority of research articles studying organizations engaging in logistic collaborations opt for optimizing routing planning under constant variables of the environment, making the obtained solutions less accurate to reality. Thus, it is necessary to solve the routing planning related problems in the real context under changing variables related to road conditions and uncertain demand variation. A benchmark realized on the non-cooperative cases in the literature may be helpful since more researches have been elaborated in this context. Third, little the problem of finding the most stable coalition is studied. It is hard to maintain coalitions under nowadays context, which makes it hard for organizations depending on it. Consequently, it is so important to be able to identify the most suitable formation and configuration of collaboration to engage in, whether it is a large one or rather a sub-coalition. Fourth, among the existent forms of logistic collaboration in literature, almost in all of them, partners consider collaborations under their mutual objectives. Nevertheless, the effect of their different strategies and opposite interests on the collaborations formed should be studied thoroughly. Fifth, practically all of the recent research on logistic collaborations propose blockchain frameworks that are supposed to alleviate issues mainly regarding informations’ privacy and confidentiality, to support trust among stakeholders. However, the developed framework architectures and models are yet to be technically applied in the industrial context. Sixth, the technological advancements have been proved to be theoretically very useful regarding resolution of issues faced among collaborating organizations, yet the existing literature has poorly explored if investments in acquiring those technologies is profitable on the medium and long terms. Since it is difficult to deal with consequential changes of digitalization, private organizations always prefer to invest on those that allow them the maximum benefits. It is crucial, then, to investigate their profitability on the long run. Lastly, public-private collaborations received less attention in the literature, which make this kind of collaborations a good research opportunity, since this collaboration can be very important in contexts of not only emergencies, but also in context of city logistics management, and others.
5 Conclusion
In this paper, we explored the existing literature dealing with “Optimization of collaborative transport and distribution strategies”. Under a systematic literature review, we were able to collect data about the most studied topics and the recent advancements in this research field. Topics of city logistics and last mile urban freight collaborations are the most studied amongst others. Also, horizontal collaboration and lateral collaboration have gained much more attention in the last decade being the new forms of collaboration mitigated to. And while recent applied laws on firms taxed their carbon prints, most of logistic collaboration solutions were addressed under a green or sustainable perspective. Hence, the resolution methods consisted majorly on modeling multi-agent-based frameworks or modeling decision making blockchain frameworks. In the end, it is concluded that blockchain technology should not only be studied theoretically but rather be put into use in real industrial context to better know its effects. Also, logistic collaborations between public and private organizations should be more studied in the future.
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This work has been supported by CNRST in the form of a Scholarship of Excellence.
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Chabba, Y., El Oualidi, A., Ahlaqqach, M. (2022). Optimization of Collaborative Transport and Distribution Strategies: Trends and Research Opportunities. In: Hamlich, M., Bellatreche, L., Siadat, A., Ventura, S. (eds) Smart Applications and Data Analysis. SADASC 2022. Communications in Computer and Information Science, vol 1677. Springer, Cham. https://doi.org/10.1007/978-3-031-20490-6_34
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