Urban construction logistics has a big impact on cities. The topic of this paper is governance strategies for realising more sustainable urban construction logistics. Although not much research has been done in the field of governance of construction logistics, several authors have stressed the fragmented nature of the construction industry and the importance of collaboration in urban construction logistics as issues. A literature review was done to identify the barriers in collaboration. Based on these barriers the research objective was to determine which drivers for collaborative governance are needed to improve urban construction logistics. The methods for data collection were semi-structured interviews and a focus group. The collaborative governance model is applied as a strategy to overcome the barriers in collaboration and governance identified. Key findings are both formal and informal barriers hinder the governance of construction logistics. Based on a collaborative governance model we identified four for improving collaborative governance.
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Summary Project objectives This study fits into a larger research project on logistics collaboration and outsourcing decisions. The final objective of this larger project is to analyze the logistics collaboration decision in more detail to identify thresholds in these decisions. To reach the overall objectives, the first step is to get a clearer picture on the chemical and logistics service providers industry, sectors of our study, and on logistics collaboration in these sectors. The results of this first phase are presented in this report. Project Approach The study consists of two parts: literature review and five case studies within the chemical industry. The literature covers three topics: logistics collaboration, logistics outsourcing and purchasing of logistics services. The five case studies are used to refine the theoretical findings of the literature review. Conclusions Main observations during the case studies can be summarized as follows: Most analyzed collaborative relationships between shippers and logistics service providers in the chemical industry are still focused on operational execution of logistics activities with a short term horizon. Supply management design and control are often retained by the shippers. Despite the time and cost intensive character of a logistics service buying process, shippers tendering on a very regular basis. The decision to start a new tender project should more often be based on an integral approach that includes all tender related costs. A lower frequency of tendering could create more stability in supply chains. Beside, it will give both, shippers and LSPs, the possibility to improve the quality of the remaining projects. Price is still a dominating decision criterion in selecting a LSP. This is not an issue as long as the comparison of costs is based on an integral approach, and when shippers balance the cost criterion within their total set of criteria for sourcing logistics services. At the shippers' side there is an increased awareness of the need of more solid collaboration with logistics service providers. Nevertheless, in many cases this increased awareness does not actually result in the required actions to establish more intensive collaboration. Over the last years the logistics service providers industry was characterized by low profit margins, strong fragmentation and price competition. Nowadays, the market for LSPs is changing, because of an increasing demand for logistics services. To benefit from this situation a more pro-active role of the service providers is required in building stronger relationships with their customers. They should pay more attention on mid and long term possibilities in a collaborative relation, in stead of only be focused on running the daily operation.
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The aim of this research/project is to investigate and analyze the opportunities and challenges of implementing AI technologies in general and in the transport and logistics sectors. Also, the potential impacts of AI at sectoral, regional, and societal scales that can be identified and chan- neled, in the field of transport and logistics sectors, are investigated. Special attention will be given to the importance and significance of AI adoption in the development of sustainable transport and logistics activities using intelligent and autonomous transport and cleaner transport modalities. The emphasis here is therefore on the pursuit of ‘zero emissions’ in transport and logistics at the urban/city and regional levels.Another goal of this study is to examine a new path for follow-up research topics related to the economic and societal impacts of AI technology and the adoption of AI systems at organizational and sectoral levels.This report is based on an exploratory/descriptive analysis and focuses mainly on the examination of existing literature and (empirical) scientific research publica- tions, previous and ongoing AI initiatives and projects (use cases), policy documents, etc., especially in the fields of transport and logistics in the Netherlands. It presents and discusses many aspects of existing challenges and opportunities that face organizations, activities, and individuals when adopting AI technology and systems.
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Our country contains a very dense and challenging transport and mobility system. National research agendas and roadmaps of multiple sectors such as HTSM, Logistics and Agri&food, promote vehicle automation as a means to increase transport safety and efficiency. SMEs applying vehicle automation require compliance to application/sector specific standards and legislation. A key aspect is the safety of the automated vehicle within its design domain, to be proven by manufacturers and assessed by authorities. The various standards and procedures show many similarities but also lead to significant differences in application experience and available safety related solutions. For example: Industrial AGVs (Automated Guided Vehicles) have been around for many years, while autonomous road vehicles are only found in limited testing environments and pilots. Companies are confronted with an increasing need to cover multiple application environments, such restricted areas and public roads, leading to complex technical choices and parallel certification/homologation procedures. SafeCLAI addresses this challenge by developing a framework for a generic safety layer in the control of autonomous vehicles that can be re-used in different applications across sectors. This is done by extensive consolidation and application of cross-sectoral knowledge and experience – including analysis of related standards and procedures. The framework promises shorter development times and enables more efficient assessment procedures. SafeCLAI will focus on low-speed applications since they are most wanted and technically best feasible. Nevertheless, higher speed aspects will be considered to allow for future extension. SafeCLAI will practically validate (parts) of the foreseen safety layer and publish the foreseen framework as a baseline for future R&D, allowing coverage of broader design domains. SafeCLAI will disseminate the results in the Dutch arena of autonomous vehicle development and application, and also integrate the project learnings into educational modules.
With increasing labor shortages, sectors using mobile machines (automotive/industry/agrifood/logistics) have a rising need for productivity improvement. With evolving technology, mobile machine control has stepped from hydraulics to electronics using sensors and smart systems to support drivers and allowing intelligent and automated machine functions. Verification and validation costs of such complex functionality urge the need for virtual solution routes to limit the lead time, cost and safety issues of real-world testing. RAAK-mkb project Fast&Curious developed tools to enable model-driven development for the control of a wide range of vehicle systems. This included automatic code generation support from MATLAB/Simulink® into the Bodas RC30 family vehicle controllers from Bosch Rexroth (see www.openMBD.com). The solution has been adopted by several SMEs allowing them to start working in a model-driven way, helping them to do virtual verification&validation, lowering development time and costs. Meanwhile, Rexroth adopted MATLAB/Simulink for core vehicle functions development and currently develops Fast&Curious-alike automatic code generation support for their recent RC40 controllers. Virtuoso aims to further improve productivity on simulation level by creating an interface layer in Simulink to (automatically) test impact of hardware interface imperfections and failures, such as noise and short circuits, as well as to seamlessly switch between continuous (early development) and discretized (deployment-oriented) input/output behavior. Companies like Emoss and Jautomatisering are interested in such solutions, allowing them to adopt efficient, model-driven processes and supporting their engineers in the required hydraulics-to-software/electronics skill-shift. The solution connects well to future developments like robotization. Besides supporting development of vehicle automation and mobile robotics, MATLAB/Simulink also supports ROS (Robot Operating System) via co-simulation and co-deployment. ROS has become the standard in (mobile) robot control development and is used by many parties. Virtuoso further closes the gap between development and deployment and allows future integration in mobile robotics, foreseen as next step.
