Purpose The purpose of this paper is to investigate models and methods for managing supply chain risks and delays in construction projects. Design/methodology/approach The study mainly employs quantitative analysis in order to identify disruptions in construction supply chains. It also uses paradigms of simulation modeling, which are suitable for risk assessment and management. Both qualitative and quantitative data were collected through a literature review and details of specific construction projects, respectively. A dynamic modeling method was used, and the model was provided with an event-based simulation. Simulation modeling was used to measure the performance of the system. Findings The study shows the benefits of applying the dynamic modeling method to a construction project. Using event-based simulation, it was found that construction delays influence both the magnitude and the probability of disruption. This method contributes to the existing theoretical foundations of risk management practices, since it also considers the time factor. This method supplements the Monte Carlo statistical simulation method, which has no time representation. Using empirical analysis, the study proposes increasing the safety stock of construction materials at the distribution center, so as to mitigate risks in the construction supply chain. Research limitations/implications The research considers a single case of a hypothetical construction project. The simulation models represent a simple supply chain with only one supplier. The calculations are based on the current economic scenario, which will of course change over time. Practical implications The outcomes of the study show that the introduction of a safety stock of construction materials at the distribution center can prevent supply chain disruption. Since the consideration of risks at all stages of construction supply chain is essential to investors, entrepreneurs and regulatory bodies, the adoption of new approaches for their management during strategic planning of the investment projects is essential. Originality/value This dynamic modeling method is used in combination with the Monte Carlo simulation, thus, providing an explicit cause-and-effect dependency over time, as well as a distributed value of outcomes.
The purpose of this study is to identify and analyze factors that support nearshoring of offshored European manufacturing located in China to Russia. The attention is paid to factors, such as labor cost, inflation, exchange rate, and labor productivity that are analyzed based on deterministic models to identify logical dependencies. This study shows that wage growth might deprive manufacturing in China from its main competitive advantage of cheap labor in the forthcoming years. The growing wage rates naturally contribute to the prime cost that is aggravated by the potential inflation, which, in turn, limit the margin in the selling price. The cumulative effect of other extra costs can aggregate such an amount that, in the foreseeable future, companies would need to relocate manufacturing to new locations. One option could be to nearshore manufacturing to Russia.
Purpose This research examines factors that determine the improvement of the Russian supply chain sustainability. The strategic business model incorporates ecological, social and economic aspects. Design/methodology/approach Considering Trans-Siberian Railway as a typical case, the study selected several cases or the parts of the primary rail connection with the affiliation of important neighbouring countries. The study uses quantitative analyses of a variety of size parameters (e.g. volumes of traffic, logistics costs, delivery distance and air pollutants). Findings The empirical findings stress that supply chains should favour in the future railway (or intermodal) connections for piggyback and containerised cargo. Herein lays the reason for the examination of all traditional factors affecting the modal choice and their complementation by the parameters to measure sustainability throughout the supply chains. The inclusion of the green practices positively affected the environmental, social and economic performance of the new approach. Research limitations/implications This research focuses on the delivery of cargo in containers and semi-trailers within wagons through the overland corridors. Despite the restrictive empirical findings within the national transport system, some elements can be representative of the international supply chains, provided that intermodal services are the most appropriate for the transportation over long distances. Practical implications Clients, media and regulatory bodies stress the consideration of environmental aspects at all stages of a global supply chain. Therefore, their adoption into strategic imperatives of local supply chains becomes inevitable. Originality/value An assessment of supply chains for longer distance transportation in Russia has not taken sustainability into account within cost analyses.
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