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The purpose of this paper is to present a taxonomy of transportation waste in construction production processes based on lean construction (LC) principles.

The research methodology used is case study and the main stages for the identification of the transportation waste in two construction projects were: mapping physical flows; measurement of transportation time; and monitoring of transportation waste events; assessment of the taxonomy.

The main contribution of this paper is the proposition of a taxonomy of transportation waste in construction production processes through the understanding of the transportation waste causes and consequences.

Although the literature reviewed addresses sources from different parts of the world, the case studies performed are limited to one country, Brazil. However, the studies were carried out in two different construction sites separated by more than 3,000 km.

All data collected during the taxonomy application can be organized in order to develop an improvement plan. Moreover, if data collected is disseminated, there is the potential to increase the efficiency and effectiveness of the construction sector.

Although the paper does not explore in depth the impact of the study on society or policy, the theme of waste minimization is focused on cost reduction, and one way to do that is through the flow management for waste minimization.

The paper discusses the concept of transportation waste of production in construction based on LC philosophy, through the understanding of its causes and consequences.

To address the absence of Lean in transportation logistics in the digital era, this study aims to investigate the application of Lean transportation (LT) tools to reduce waste and facilitate the digital transformation of dedicated road transportation in the offshore industry.

The study adopts action research with a multimethod approach, including a scoping review, focus groups (FG) and participant observation. The research is conducted within the offshore supply chain of a major oil and gas company.

Implementing LT’s continuous improvement tools, particularly value stream mapping (VSM), reduces offshore transportation waste and provides empirical evidence about the intersection of Lean and digital technologies. Applying techniques drawn from organisational learning theory (OLT), stakeholders involved in VSM mapping and FGs engage in problem-solving and develop action plans, driving digital transformation. Waste reduction in loading and unloading stages leads to control actions, automation and process improvements, significantly reducing downtime. This results in an annual monetary gain of US$1.3m. The study also identifies waste related to human effort and underutilised digital resources.

This study contributes to theory and practice by using action research and LT techniques in a real intervention case. From the lens of OLT, it highlights the potential of LT tools for digital transformation and demonstrates the convergence of waste reduction through Lean and Industry 4.0 technologies in the offshore supply chain. Practical outputs, including a benchmarking questionnaire and a plan-do-check-act cycle, are provided for other companies in the same industry segment.

This paper proposes to apply the lean philosophy principle of minimizing or eliminating non-value adding activities combined with 4D building information modeling (BIM) simulations to reduce transportation waste in construction production processes.

This study adopts design science research (DSR) because of its prescriptive character to produce innovative constructions (artifacts) to solve real-world problems. The artifact proposed is a set of constructs for evaluating the utility of 4D BIM simulations for transportation waste reduction. The authors performed two learning cycles using empirical studies in projects A, B and C. The construction process of cast-in-place (CIP) reinforcement concrete (RC) was selected to demonstrate and evaluate 4D BIM's utility. The empirical studies focused on understanding the current transportation waste, collecting actual performance data during job site visits and demonstrating the usage of 4D BIM.

In the first cycle, 4D BIM successfully allowed users to understand the CIP-RC process's transportation activities, which were modeled. In the second cycle, 4D BIM enabled better decision-making processes concerning the definitions of strategies for placing reusable formworks for CIP concrete walls by planning transportation activities.

In Cycle 2, three different scenarios were simulated to identify the most suitable formwork assembly planning, and the results were compared to the real situations identified during the job site visits. The scenario chosen demonstrated that the 4D BIM simulation yielded an 18.75% cycle time reduction. In addition, the simulation contributed to a decrease in transportation waste that was previously identified.

The original contribution of this paper is the use of 4D BIM simulation for managing non-value adding activities to reduce transportation waste. The utility of 4D BIM for the reduction of those conflicts considered three constructs: (1) the capacity to improve transportation activity efficiency, (2) the capacity to improve construction production efficiency and (3) the capacity to reduce transportation waste consequences.

This research studies a plastic recycling system from a reverse logistics angle and investigates the potential benefits of a multimodality strategy to the network design of plastic recycling. This research aims to quantify the impact of multimodality on the network, to provide decision support for the design of more sustainable plastic recycling networks in the future.

A MILP model is developed to assess different plastic waste collection, treatment and transportation scenarios. Comprehensive costs of the network are considered, including emission costs. A baseline scenario represents the optimized current situation while other scenarios allow multimodality options (barge and train) to be applied.

Results show that transportation cost contributes to about 7 percent of the total cost and multimodality can bring a reduction of almost 20 percent in transportation costs (CO₂‐eq emissions included). In our illustrative case with two plastic separation methods, the post‐separation channel benefits more from a multimodality strategy than the source‐separation channel. This relates to the locations and availability of intermediate facilities and the quantity of waste transported on each route.

This study applies a reverse logistics network model to design a plastic recycling network with special structures and incorporates a multimodality strategy to improve sustainability. Emission costs (carbon emission equivalents times carbon tax) are added to the total cost of the network to be optimized.

The improvement of routing operations performance has been of great concern for organisations. This has led to the development of alternative lean-based methods, however the literature research on the applications of lean thinking in the transportation sector is still considered rather limited. The purpose of this paper is to present a lean thinking and simulation-based approach to improve the efficiency of warehousing and routing operations.

The paper reviews the existing literature in the area of lean transportation and then presents and applies a novel approach to improve the vehicle routing operations of a Mexican firm. The proposed approach suggests the classification of wastes into those relevant to transport operations, their identification through a transportation value stream mapping study, and the use of the transportation overall vehicle effectiveness (TOVE) index for the measure of the overall performance of the transport operations.

The results obtained from the case study indicate that the proposed approach is an effective alternative for the improvement of vehicle routing operations as the number of routes decreased from 30 to 22 and the distance travelled by 32 per cent. Similarly, the average number of clients served by each route increased by 23 per cent as well as the TOVE index increased from 6.9 to 19.3 per cent. The TOVE component measures of vehicle performance and operating availability efficiencies also increased significantly while quality issues, in the form of number of customers not served per route, were reduced from six to zero.

The improvement of routing operations performance has been traditionally addressed through operations research and mathematical modelling approaches. This paper presents an alternative and novel lean thinking and simulation-based approach to improve the efficiency of routing operations.

Although recent research acknowledges the importance of reducing the inefficient activities from road transportation, there is still a missing link in literature of how transportation extended wastes impact road haulers efficiency. The purpose of this paper is to investigate the relationship between waste reduction practices (WRP) and fleet operational efficiency (FOE) in road hauler firms.

A theoretical model was developed to assess this relationship. The authors test the model with a sample from logistics companies providing road haulage services in the Middle East, providing a contribution to extant literature from a different setting.

Results suggest that WRP have a positive and significant impact on FOE. A valuable scale for the measurement of operational efficiency was developed and validated, representing an index toward the most efficient organization.

The findings of this study serves as a tool for shippers to benchmark the efficiency levels of their motor carrier service providers against each other, considering that segmentation is a relevant issue to understand the choice in favor of a given provider to the detriment of another. Furthermore, road haulers can use the efficiency measurements as a basis for establishing future action plans to adopt waste reduction practices.

The research deals with a newly emerging stream of research on linking waste practices to road transport. The authors contribute to this developing body of research through filling a gap in the link between waste and road transport operational performance. The research is also different from recent literature in that the authors provide insights from a larger population, unlike other similar studies who used VSM and studied only a particular case. Thus, the work is important to generalize the findings, especially that the authors provide a perspective from a non-western perspective.

This paper analyzes the cost structure of the municipal waste collection in Japan. Since the municipality in Japan is responsible for dealing with the garbage generated by households, there is plenty of data regarding municipal waste in comparrison to private firms. Nevertheless, there is little research available which analyzes the end-of-life product logistics of municipal waste. This research aims to reveal some structural features of the end-of-life product logistics cycle. Based on more than 1,800 samples, this paper statistically shows that both waste collection and waste processing have a strong scale economy. In addition, this paper will also prove that the consignment to the private entity has made the cost of waste management cheaper in Japan.

The high costs of collection and transportation of municipal solid waste (MSW) on the overall waste management budget (sometimes more than 75 per cent) makes it an issue to be urgently addressed for improvement. The paper aims to focus on the optimisation of routing networks for waste collection/transportation.

The paper proposes herein the application of geographic information system (GIS) 3D route modelling for waste collection/transportation to optimise the route according to the minimum fuel consumption criterion to different municipalities of the island of Santo Antao of Cape Verde.

The optimisation for the lowest fuel consumption yields 52 per cent savings in fuel, when compared to that for the shortest distance, even travelling a 34 percent longer distance, which shows the importance of considering simultaneously the relief of the territory and the lowest fuel consumption criterion when optimising vehicle routes.

With such a supporting decision tool savings in fuel are huge, the efficiency of management systems is improved and the environmental impact during daily operation is reduced. The GIS 3D route modelling takes into account the effects of both the road inclination and the vehicle load.

The originality of the work lies in the chosen approach. To optimise vehicle routes the criterion of minimum fuel consumption rather than the commonly used shortest distance is used, since fuel consumption is the factor reflecting actual costs relative to MSW management.

The application of lean thinking in the transportation industry provides opportunities to streamline operations with a value-added orientation. Prior literature shows evidence of limited application of lean thinking in the transportation operations of the pharmaceutical industry. This study aims to close this research gap by investigating the application of lean thinking for improving pharmaceutical transportation performance.

This study conducted an action research approach at an Indonesian pharmaceutical distribution company. One cycle in one year was analyzed; empirical data were collected and analyzed through direct observations, interviews and the study of company data and documentation.

The application of lean thinking in waste elimination allowed the delivered project to achieve a remarkable 40% reduction in overall transportation costs, 75% reduction in total lead time, 200% improvement in truck productivity and 100% improvement in truckload capacity utilization.

This study can guide the pharmaceutical industry toward achieving excellence in transportation operations through lean thinking implementation.

There has been limited research on this topic, and this study is the first attempt to generate new and significant evidence of a real-life application of lean thinking within the field of pharmaceutical transportation.

This study aims to analyze lean wastes for the poultry sector in Turkey and link lean tools to this study, focusing on identifying each lean waste that affects poultry production and proposing solutions for preventing these lean wastes in the sector. The proposed solutions aim to improve processes by suggesting different lean tools and their applications for the poultry sector.

The study consists of two different applications. First, the waste relationship matrix (WRM) was created to reveal the relationship between seven lean wastes and their importance order. Then, after determining lean tools for eliminating lean wastes, the optimum weight ranking and consistency ratio of the most suitable lean tools were calculated for these wastes and ranked with the best-worst method (BWM).

Results showed that overproduction is the most critical waste that impacts other wastes, followed by defect waste. Due to the nature of the sector, these wastes not only result in economic loss for the company but also in food waste and loss and issues related to animal welfare. Furthermore, the Kaizen approach and 5S implementation are the methods to eliminate these wastes. Detailed discussion on the link between lean tools and lean wastes is provided for the poultry sector.

This is the first study that theoretically and empirically identifies the potential lean waste affecting the poultry sector and provides lean tools for eliminating these wastes. Sector-specific explanations and discussions are presented in the study to show the applicability of lean approaches in the poultry sector to eliminate waste. In addition, this study is the first to integrate the WRM and BWM.