Collaborative Transportation Management (CTM) aims to reduce inefficiency, improve services, and provide mutual outcome to all parties. CTM has raised significant interest of both researchers and practitioners. Sharing information is the most basic form of coordination in supply chains to integrate CTM models at strategic, tactical, and operational levels. However, little has been known about the state of the art of CTM models. This paper presents a comprehensive review on the current state of CTM models. The overview of the CTM models is organized by classifying the previous literatures on different collaborative structures and different levels of planning. This paper also presents the relevant solution techniques used for each planning level. A review on the current state of CTM models concludes by highlighting the unaddressed areas or the gaps existing in the current literatures and by suggesting directions for future research in CTM.

Disaster management includes distributing logistical assistance to disaster victims. The implementation of this distribution must occur at the right time, at an appropriate location, on target and be appropriate to the needs of the victims. This research aims to design an information system to improve the performance of disaster relief operations by managing the information while monitoring and evaluating humanitarian relief operations.Consequently, understanding the primary determinants of user acceptance behavior has become a vital aspect in the successful implementation of the information system. The Unified Theory of Acceptance and Use of Technology (UTAUT) model is a tool to investigate and give a better understanding of the factors that affect the potential users’ acceptance and use of an information system. This research used 131 different informants from different groups of potential users to measure performance expectancy, effort expectancy, social influence, and facilitating conditions. The results have shown strong relationships between four aspects of the measurements for the acceptance of all parties involved in humanitarian relief operations.

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The current dominating production and consumption model is based on the linear economy (LE) model, within which raw materials are extracted-processed-consumed-discarded. A circular economy (CE) constitutes a regenerative systemic approach to economic development which views waste as a valuable resource to be reprocessed back into the economy. In order to understand the circular strategy for a systemic change from an LE to a CE as a means of resolving the issue of plastic waste, this research aims to map current circular strategy trends across the system perspective contained in the literature relating to plastic CE literature. The novelty of the research lies in the mapping and review of the distribution of comprehensive circular strategies within the 9R framework across the entire system perspective (e.g. micro-meso-macro) down to its sub-levels in the literature on a plastic CE. The bibliographic mapping and systematic literature review iindicateed that the majority of the research focused on recycle (R8), followed by refuse (R0), reuse (R3), and reduce (R2). Certain circular strategies are more appropriate to handling certain plastic materials, despite CE's favoring of prevention and recycling over incineration. Recover (R9) is often used to process mixed and contaminated plastic. Recycling (R8) is the most popular circular strategy and the most applicable to plastic material with three recycle trends, namely; mechanical recycling, chemical recycling and DRAM (Distributed-Recycling-and-Additive-Manufacturing). Prolonging the product life through refurbishing (R5) is not applicable to plastic due to its material limitations. Reduce (R2) popularity as circular strategy reflects the preference to reduce consumption, either by launching campaigns to prevent waste or increasing production efficiency. Research on Rethink (R1) has largely focused on rethinking product design, consumer and organization behavior and perceptions of CE. Refuse (R0) strategy is an adoption of bio-based plastics which have a similar function to fossil-based plastics.

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Collaborative Transportation Management (CTM) is a collaboration model in transportation area. The use of CTM in today's business process is to create efficiency in transportation planning and execution processes. However, previous research paid little attention to demonstrate the ability for all agents in CTM to co-create value in services. The purpose of this paper is to increase the understanding of value co-creation in CTM area and learning processes in real systems based on value co-creation of CTM. Multiple case studies were used to analyze the value that was perceived by all agents in CTM in each collaboration stage and provided empirical evidence on the interactions among agents. Model-free reinforcement learning was used to predict how CTM could reduce transportation cost, increase visibility, and improve agility. The simulation results show that the input, feedback, and the experience of the agents are used to structure the collaboration processes and determine the strategies.

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The vehicle routing problem is investigated by using some adaptations of the variable neighborhood search (VNS).The initial solution was obtained by Dijkstra’s algorithm based on cost network constructed by the sweep algorithm andthe 2-opt. Our VNS algorithm use several neighborhoods which were adapted for this problem. In addition, a number oflocal search methods together with a diversification procedure were used. The algorithm was then tested on the data setsfrom the literature and it produced competitive results if compared to the solutions published.