Yury Redutskiy

• Nevrlý, Vlastimír; Redutskiy, Yury; Poul, David & Šomplák, Radovan (2025). Incorporating rail transport into the waste flow and processing chain for sustainable waste handling. Expert Systems With Applications. ISSN 0957-4174. 296(Part B). doi: 10.1016/j.eswa.2025.129055. Full text in Research Archive Show summary

  Modern-day policies promote sustainable development and ubiquitous transition towards circular economy. In waste management, climate impacts may be mitigated by reducing waste production amounts, efficient waste processing and low-emission transport. While focusing on the latter, this research addresses integration of rail transport into existing waste flows and proposes a novel mixed integer programming model. The model’s design addresses important technical requirements and related conditions. The paper describes the trade-offs between the current operation of the transport network and the potential for intermodal approach to waste transportation. This framework is applied to a real example from a European Union country. It is concluded that the railway network configuration, the waste distribution density across the analyzed territory, and the distance from loading hubs from processing facilities play a significant role in the economic viability of rail transport. Among the specifics of rail transport, the model addresses route planning with passing through nodes twice, i.e., for unloading and reloading containers, as well as recommendation for reducing the loaded volumes at the last node on the route due to time–cost reasons.

• Redutskiy, Yury & Balycheva, Marina (2024). Energy Efficiency in Petroleum Supply Chain Optimization: Push Segment Coordination. Energies. 17(2). doi: 10.3390/en17020388. Full text in Research Archive Show summary

  Today, the world is transitioning from traditional energy to clean, renewable sources. The petroleum sector is to play a role in this transition by supporting material and energy needs related to developing new energy systems. It is, therefore, vital that in upcoming years, the petroleum sector runs in a smart and efficient way, which can be achieved by coordination and the meaningful integration of decision-making issues in petroleum supply chains (PSCs). The existing literature on PSC optimization reveals a research gap; specifically, there is an insufficient level of technological detail considered while planning capacities of new infrastructures and its impact on the efficiency of further operations, specifically in the push segment of the PSC. This paper proposes a mixed-integer nonlinear programming model for planning capacities and coordinating activities within the mentioned PSC segment. The infrastructure capacity planning model covers technological details such as hydraulics and pump systems’ operational efficiency. The results reveal that the proposed model and its technological decision-making criterion of minimizing energy consumption drive infrastructural choices and operational modes to achieve machinery performance close to the best efficiency point. Also, the computational results demonstrate how traditional (minimum-cost) approaches lead to inefficient energy use while producing and transporting hydrocarbons. The proposed framework aims to facilitate the preliminary design stage of projects undertaken by engineering contractors in the energy sector.

• Redutskiy, Yury; Balycheva, Marina & Dybdahl, Hendrik (2022). Employee scheduling and maintenance planning for safety systems at the remotely located oil and gas industrial facilities. Engineering Management in Production and Services. ISSN 2543-6597. 14(4), p. 1–21. doi: 10.2478/emj-2022-0028. Full text in Research Archive Show summary

  The safety of operations is vital in any process in the oil and gas sector, especially given that increasingly more hydrocarbon reserves are discovered in non-conventional remote and Arctic locations. Safety systems are designed as a part of a complex IT system for process control. The design of these systems is conducted in the form of an engineering project. This research presents a decision-making framework to facilitate formulating clear and comprehensive recommendations for the requirements specification developed for the safety systems. The contribution of this research to the strategic planning area of IT solutions for hazardous industrial facilities is integrating the problems of designing a safety system, planning its maintenance, and scheduling the employees to conduct the required maintenance. With this joint decision-making, it is possible to explore trade-offs between investments into the systems’ complexity and workforce-related expenditures throughout the solution’s lifecycle. The reliability modelling is conducted with the help of Markov analysis. The multi-objective decision-making framework is employed to deduce straightforward requirements to the safety system design, maintenance strategy, and workforce organisation. This research is relevant to managing the petroleum sector engineering projects with regard to the design of technological solutions.

• Matušinec, Josef; Hrabec, Dušan; Šomplák, Radovan; Nevrly, Vlastimir & Redutskiy, Yury (2021). Cooking oils and fat waste collection infrastructure planning : a regional-level outline. Clean Technologies and Environmental Policy. ISSN 1618-954X. 24(1), p. 109–123. doi: 10.1007/s10098-021-02087-y. Full text in Research Archive Show summary

  Among the current trends in waste management and circular economy is the involvement of new fractions of waste for sorting and collection. One of them is fats and cooking oils, especially those coming from households. Now, the nascent fat waste recycling becomes promoted as regulations and waste recovery targets have been set in the European Union. The traditional manner of discarding household fat waste usually causes sewage problems. However, utilisation of this waste brings the potential for contributing to the energy supply and material recovery. This research presents a mathematical model for the optimal location of fat waste bins and containers in the given municipalities. The container network should comprise as few containers as possible, while the walking distance for the citizens towards the container is as short as possible. The objective of the proposed optimisation model is to minimise the total number of collection points (infrastructure cost). The collection points represent the citizens’ addresses in a municipality. The average walking distance towards a container is a novel feature in the model, which is pertinent to waste fractions with low production per person. Cluster analysis describes the variability between municipalities, and further, it is possible to use regression analysis to model the number of containers for any municipality or region. The proposed general decision support tool estimates the total cost and number of bins needed for any region or a country. The region from the Czech Republic, which was used as a study area, revealed the requirement for 609 containers, with only EUR 30,000 of investment cost. There are around 950 inhabitants assigned to a single collection point on average.

• Redutskiy, Yury; Camitz-Leidland, Cecilie Maria; Vysochyna, Anastasiia; Anderson, Kristanna Tunga & Balycheva, Marina (2021). Safety systems for the oil and gas industrial facilities : design, maintenance policy choice, and crew scheduling. Reliability Engineering & System Safety. ISSN 0951-8320. 210(June), p. 1–15. doi: 10.1016/j.ress.2021.107545. Full text in Research Archive Show summary

  The technology of oil and gas production is associated with significant hazards. Safety Instrumented Systems (SIS) are designed to ensure proper and safe operations in this sector. This research presents a framework that produces reasonable recommendations (requirements specification) for the SIS design and maintenance with consideration of the three key perspectives relevant to any petroleum engineering project, namely those of facility operators, engineering contractors, and the authorities. The contribution of this research to the area of engineering design is simultaneously addressing the decisions on the SIS design, organization of its maintenance, and employee scheduling for the remotely-located hazardous industrial facilities. These decisions are made based on the choice of maintenance policies incorporated into a Markov model of the system functioning. Another contribution of this research to the reliability modeling area is incorporating diverse redundancy into the modeling and decision-making framework. Thus, this research explores a trade-off between the capital investments into the SIS’s design complexity and the operational expenditures associated with system maintenance and expected losses due to potential hazards. The developed multi-objective decision-making framework requires a black-box optimization approach to produce results. This research is relevant to engineering departments and contractors specializing in designing technological solutions for the petroleum sector.

• Matušinec, Josef; Hrabec, Dušan; Šomplák, Radovan; Nevrly, Vlastimir; Pecha, Jiří & Smejkalová, Veronika [Show all 7 contributors for this article] (2020). Cooking oil and fat waste management : a review of the current state. Chemical Engineering Transactions. ISSN 1974-9791. 81, p. 763–768. doi: 10.3303/CET2081128. Full text in Research Archive Show summary

  Waste management is a continuously growing area connecting industry and academia nowadays. There are, however, still many issues and sub-areas requiring in-depth analysis and development of new approaches and solutions. One of them is the management of waste cooking oils and fats originated from households. While most of the solid waste is addressed within the circular economy proposal, the fat waste recycling consideration is still in its early stage, as the relevant European Union legislation has only recently been adopted. Disposing of oil and fat waste in a traditional way often leads to sewage problems. However, if utilised, this waste may be a valuable source of energy and material recovery. While maintaining the reverse supply chain viewpoint (from waste producers through the collection to treatment and utilisation), this paper reviews the current state of the waste cooking oils and fats management and identifies the drawbacks in existing collection and handling methods. The review shows that current approaches have shortcoming mainly due to poorly organised collection container networks and provides insights into the importance of effective prognosis of the cooking oil and fat waste whose collection and handling is still in the development. The Czech Republic current state and the future outlook is discussed and commented with regards to the expected growth of production and separation of these wastes. The review stresses the challenges of establishing and coordinating the supply chain segments, which will benefit from applying mathematical modelling to facilitate decision-making.

• Redutskiy, Yury (2018). Pilot study on the application of employee scheduling for the problem of safety instrumented system design and maintenance planning for remotely located oil and gas facilities. Engineering Management in Production and Services. ISSN 2543-6597. 10(4), p. 55–64. doi: 10.2478/emj-2018-0022. Full text in Research Archive Show summary

  The technology of production, transportation, and processing of oil and gas involves various hazardous processes. To mitigate the risk that these processes pose, the technological solutions work closely with the automated control and safety systems. The design and organisation of maintenance for the automated safety instrumented systems (SIS) have a significant bearing on the overall safety of operations in this industry. Over the past few decades, many hydrocarbon resources have been discovered in unconventional environments, such as remote, offshore, and arctic locations. Transportation of engineering personnel to these remote locations and back, and thereby, the organisation of the shift work poses additional challenges for the petroleum sector. Under such circumstances, the workforce-related costs play a considerable role in the overall cost of the technological solution and thereby the decisions regarding the workforce organisation should be addressed in the framework of evaluating and choosing the appropriate safety measures. That is why the research presented in this paper aims to address the lifecycle of the technological solution integrating the problems of SIS design, maintenance planning, and employee scheduling into a single decision-making framework to optimise the set of technical and organisational safety measures inherent in the SIS. The performance and maintenance of the SIS are described with a Markov model of device failures, repairs and technological incidents occurrence. The employee scheduling part of the mathematical model utilises the set-covering formulation of maintenance crews taking particular trips. A black-box optimisation algorithm is used to find reasonable solutions to the integrated problem of engineering design and workforce planning. The decisions include the choices of the components and structures for the safety system, the facility overhaul frequencies, the maintenance personnel size, as well as the schedules of trips and shifts for the crews.

• Redutskiy, Yury (2017). Modelling and design of safety instrumented systems for upstream processes of petroleum sector. Procedia Engineering. 182, p. 611–618. doi: 10.1016/j.proeng.2017.03.165. Full text in Research Archive Show summary

  The adequacy of the decision-making regarding the specification of Safety Instrumented Systems (SIS) deployed for hazardous processes, contributes to avoiding incidents and corresponding losses. This paper proposes an approach to mathematically and economically substantiated design of SIS. Markov analysis is used for the stochastic process of SIS failures and technological incidents occurrence. The model is used further for multi-objective optimization of SIS design. The research is relevant to engineering departments and contractors, who specialise in planning and designing the technological solution.

• Redutskiy, Yury (2017). Optimization of safety instrumented system design and maintenance frequency for oil and gas industry processes. Management and Production Engineering Review. ISSN 2080-8208. 8(1), p. 46–59. doi: 10.1515/mper-2017-0006. Full text in Research Archive Show summary

  Oil and gas industry processes are associated with significant expenditures and risks. Adequacy of the decisions on safety measures made during early stages of planning the facilities and processes contributes to avoiding technological incidents and corresponding losses. Formulating straightforward requirements for safety instrumented systems that are followed further during the detailed engineering design and operations is proposed, and a mathematical model for safety system design is introduced in a generalized form. The model aims to reflect the divergent perspectives of the main parties involved in oil and gas projects, and, therefore, it is formulated as a multi-objective problem. Application of black box optimization is suggested for solving real-life problem instances. A Markov model is applied to account for device failures, technological incidents, continuous restorations and periodic maintenance for a given process and safety system configuration. This research is relevant to engineering departments and contractors, who specialize in planning and designing the technological solution.

• Redutskiy, Yury (2017). Integration of oilfield planning problems : infrastructure design, development planning and production scheduling. Journal of Petroleum Science and Engineering. ISSN 0920-4105. 158(September), p. 585–602. doi: 10.1016/j.petrol.2017.08.066. Full text in Research Archive Show summary

  The oil and gas industry faces considerable technological challenges nowadays, mainly associated with nonconventional reserves and offshore environments. To ensure the economic efficiency of operations under such complicated conditions, industrial solutions called “smart fields” were introduced. A vital part of these solutions is strategic planning which aims to coordinate field development and hydrocarbons production operations to optimize the entire field lifecycle, given the chosen planning criterion (e.g., net present value of the project). Still, in many cases engineering design is conducted with a conservative approach of solving one problem at a time. In this study, a multi-period mixed integer nonlinear problem (MINLP) covering the relevant issues of both development and production phases, is introduced. The contribution of the proposed model to the area of oilfield development planning is related to the model’s simultaneously incorporating technological details regarding the infrastructure layout, pressures and flows in the gathering system, and artificial lift performance, all of which ultimately aims to provide realistic production scheduling results and cost evaluation. The composed model is used to study the benefits of joint development and production planning in comparison to planning these two phases of the project separately. This research is relevant to the engineering design departments and contractors for the preliminary design stage of the engineering project when the infrastructures layout and capacities are chosen, and rough estimates of costs and revenues are calculated.

• Redutskiy, Yury (2017). Oilfield development and operations planning under geophysical uncertainty. Engineering Management in Production and Services. ISSN 2543-6597. 9(3), p. 10–27. doi: 10.1515/emj-2017-0022. Full text in Research Archive Show summary

  The oil and gas industry nowadays is challenged by dealing with nonconventional reserves and offshore environments. Decision-making associated with projects in the petroleum sector has to handle various technological issues, risks, and uncertainty. The Smart Fields approach was introduced to cope with complicated production conditions and make the production of hydrocarbons economically efficient. A significant part of this approach is proactive planning which implies taking into account the uncertainty, or lack of knowledge of the recoverable reserves, future hydrocarbon prices and various operational issues inherent in the projects. In this study, a multi-stage stochastic programming approach is employed to cover the relevant engineering issues of oilfield development and petroleum production while addressing the geophysical uncertainty related to the developed deposit. The proposed model covers such aspects as well drilling, gathering pipeline infrastructure planning, capacity selection for the infrastructure and the processing units, as well as planning the production operations with consideration of artificial lift efficiency. The model aims to optimise the entire field lifecycle, given the chosen planning criterion, that is an economic criterion of the project’s net present value. The contribution of the developed model to the area of planning in the petroleum industry is the detailed consideration of the technology: the flows and pressures in the planned infrastructure, reservoir behaviour, and the artificial lift performance. The goal of including these technological details is to apprehend the economic trade-off between investments, operating costs and the prospective revenues, given the lack of knowledge of the geophysical properties of the developed deposit. The stochastic modelling implemented in this study is relevant to the development projects in nonconventional environments, where several deposits of various sizes are present; however, not each deposit's properties get to be studied in detail.

• Redutskiy, Yury (2017). Conceptualization of smart solutions in oil and gas industry. Procedia Computer Science. 109, p. 745–753. doi: 10.1016/j.procs.2017.05.435. Full text in Research Archive Show summary

  Technological solutions called “smart wells” and “smart fields” have been applied in petroleum industry for nearly two decades. They aim to improve the knowledge of petroleum production processes, and thereby improve the efficiency of operations. Researchers and companies in pursuit of their goals tend to use one-sided implications and numerous synonyms when describing the substance of the term, which leads to an occasional confusion. In order to study the concept of smart field from a general perspective, a literature review has been conducted, and main characteristic attributes of such solutions have been revealed. Selected marketed products offered by engineering companies have been analyzed as examples of the technology implementations. A definition has been proposed along with its practical implications for the companies management. Additionally, an attempt has been made to place these solutions in a broad scientific context of intelligence and sustainability in contemporary business processes.

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• Redutskiy, Yury (2022). Risk Management for Hazardous Industrial Processes in the Arctic: Safety, Continuity of Operations, and Personnel Organization. Full text in Research Archive
• Redutskiy, Yury & Balycheva, Marina (2022). Key Aspects of risk management for hazardous industrial processes in the Arctic : safety, continuity of operations, and personnel organization. Arctic Review. ISSN 2686-9462. p. 52–56. Full text in Research Archive
• Gribkovskaia, Irina & Redutskiy, Yury (2022). Presentation of Norwegian-Russian collaboration project UTF-10023 Arctic Logistics. Full text in Research Archive
• Redutskiy, Yury (2022). Safety system design and maintenance planning for hazardous industrial facilities located in remote areas. Full text in Research Archive
• Redutskiy, Yury (2021). Arctic Offshore Oil and Gas industry: Logistical Challenges and Approaches to Their Solutions. Full text in Research Archive
• Redutskiy, Yury (2020). Employee scheduling for maintenance of automated safety systems for remotely located oil and gas facilities. Full text in Research Archive Show summary

  Aim. The development of hydrocarbon energy resources has been consistently moving into the area of nonconventional environments (such as offshore, deep sea, arctic, etc.). The technology of oil and gas production and processing is associated with substantial risks as the processes pose significant hazards. Safety Instrumented Systems (SIS) are designed within the framework of an engineering project to ensure proper and safe operations. The purpose of this research is to provide reasonable recommendations (requirements specification) for the safety systems design and organization of their maintenance with consideration of the three key perspectives relevant for any engineering project in the petroleum industry: those of facility operating companies, engineering contractors, and the government. Materials and methods. The contribution of this research to the area of strategic planning of the IT solution for the hazardous industrial facilities is integrating the problems of designing the SIS, planning its maintenance, and scheduling the employees to conduct the required maintenance in remotely-located areas. In addition to the decisions on the system’s components, structures, and the overhaul frequency, the model in this research aims to determine whether it is reasonable to organize and train local workforce (somewhat close the remote production site), as well as to determine the specifics of the shift work for the maintenance crews. These decisions are made based on the choice of maintenance policies incorporated into the Markov model of the safety system functioning. The model developed in this research explores a trade-off between the capital investments into the safety system’s particular devices and architectures and the operational expenditures associated with the system maintenance and workforce mobilization. This engineering design problem requires a black-box optimization approach to obtain the solution to the problem. Results. The outcome of the model aims to provide the recommendations for the safety systems design and organization of their maintenance, which may be used in requirements specification documentation, as well as a starting point of detailed engineering design. Conclusion. This research is relevant to engineering departments and contractors specializing in designing technological solutions for the petroleum sector projects. Keywords: engineering design, maintenance planning for remotely located facilities, Markov model, multi-objective optimization, oil and gas engineering project management, remote locations, risk management, safety instrumented system, strategic planning.

• Redutskiy, Yury; Matušinec, Josef; Šomplák, Radovan; Nevrly, Vlastimir & Hrabec, Dušan (2020). Infrastructure planning and implementation of cooking oils and fat waste collection: bin cost estimation. Full text in Research Archive Show summary

  Waste management is a continuously growing area connecting industry and academia nowadays. Among various research directions and initiatives within waste management, handling waste cooking oils and fats from households has recently been paid much attention. While most of the solid waste is addressed within the circular economy proposal, the fat waste recycling consideration is still in its early stage, as the relevant European Union legislation has only recently come into effect. If utilised, this waste may be a valuable source of energy and material recovery. This research develops and presents a mathematical model for the optimal location of cooking oil and fat waste bins and containers in the given municipalities. The cost-minimisation concerns evident for this problem setting prompt the decision-making to design a collection network in such a way that it includes as few containers as possible. At the same time, the issue of the walking distance towards these containers for the citizens should be taken into account. If the walking distance towards a container is long, the motivation for recycling decreases. Shortening of this distance is expected to result in larger amounts of the recycled fat waste. Therefore, the proposed optimisation model utilises two objective functions. The first one is minimisation of the number of collection points and the second one concerns the minimisation of the average walking distance. The developed decision-making framework includes cluster analysis, bi-objective optimisation, as well as regression analysis to develop a realistic estimate of the total cost and number of bins needed. The decision-making framework is applied to several case studies from the Czech Republic's municipalities.

• Redutskiy, Yury (2018). Risk Management Perspective on Workforce Scheduling for Safety Systems Maintenance for Oil and Gas Facilities Located in Poorly Accessible Regions. Full text in Research Archive Show summary

  Oil and gas resources development is nowadays associated with nonconventional environments such as deep-sea reserves, arctic locations and other remote and unpopulated areas poorly accessible by transportation. The hydrocarbon production technology is highly hazardous and associated with considerable risk for personnel, technological equipment, and environment. Safety Instrumented Systems (SIS) are put in place to ensure the proper and safe operations. In order for the SIS to perform its function, it requires periodic maintenance. This research highlights the importance of simultaneously addressing the issues of SIS design and maintenance planning for the remotely located oil and gas facilities. The decision-making model aims to determine the SIS’s components, structures, maintenance frequency, staffing size required for continuous and periodic maintenance, and the workforce shift schedules. This decision-making is based on the ALARP principle of risk-reduction, suggesting a trade-off between the complexity of SIS’s structures, its maintenance rates and the labor costs associated with service personnel travelling and staying in the remote regions. A Markov model is employed along with cost evaluations within a black-box optimization algorithm to optimize the SIS’s lifecycle. The model was run with the data from a real project implemented by a Russian company. This research is relevant to engineering departments specializing in designing the SISs for the petroleum sector projects.

• Redutskiy, Yury (2018). Safety system design and maintenance planning for oil and gas facilities located in remote areas. Full text in Research Archive Show summary

  Many hydrocarbon deposits have been discovered and, therefore, the facilities have been built in remote and arctic locations poorly accessible by transportation. The petroleum production technology is associated with considerable risks. Safety instrumented systems (SIS) aim to mitigate the risk of the hazardous operations the oil and gas facilities run. This research contributes to the area of engineering design by addressing the issues of SIS design and their maintenance for the remotely located facilities. The modelling in this research aims to ensure the safety of operations by simultaneously evaluating the decisions on the safety system’s components and structures, the facility overhaul frequencies, the servicepersons staffing size and the crew trips schedules for their shift work. The details of the SIS functioning and maintenance are incorporated into a Markov model used for safety quantification. The decision-making is done with the help of a black-box optimization algorithm. The objective function used in this research addresses the economic perspective on the lifecycle of the technological solution. The aim of the cost-minimization objective is to explore a trade-off between the capital investments into the complexity of the safety system, the operational expenditures associated with the system maintenance, and the expected losses in case a hazardous event occurs. The computational example used in this research adopted the data from a real project implemented by a Russian company. The results demonstrated that the suggested decision-making framework points to the reasonable SIS structures, which may be used as starting point for the further detailed SIS design. The transportation and the labor costs prove to play a considerable role in both lifecycle cost evaluation and the choice of the shift duration. The frequency of the planned shutdowns demonstrates to have a marginal bearing on the overall lifecycle cost evaluation. However, the overhaul frequency choice (once in 3 months, once in 6 months, or once a year) has a considerable impact on the solution’s reliability, and thereby on the magnitude of the expected losses should an incident occur. It also influences the expected facility downtime, which may be of consideration for the project periodic overhauls planning.

• Redutskiy, Yury (2017). Conceptualization of smart solutions in oil and gas industry. Full text in Research Archive Show summary

  Technological solutions called “smart wells” and “smart fields” have been applied in petroleum industry for nearly two decades. They aim to improve the knowledge of petroleum production processes, and thereby improve the efficiency of operations. Researchers and companies in pursuit of their goals tend to use one-sided implications and numerous synonyms when describing the substance of the term, which leads to an occasional confusion. In order to study the concept of smart field from a general perspective, a literature review has been conducted, and main characteristic attributes of such solutions have been revealed. Selected marketed products offered by engineering companies have been analyzed as examples of the technology implementation. A definition has been proposed along with its practical implications. Additionally, an attempt has been made to place these solutions in a broad scientific context of intelligence and sustainability in contemporary business processes.

• Redutskiy, Yury (2016). Modelling and design of safety instrumented systems for upstream processes of petroleum sector. Full text in Research Archive Show summary

  The adequacy of the decision-making regarding the specification of Safety Instrumented Systems (SIS) deployed for hazardous processes, contributes to avoiding incidents and corresponding losses. This paper proposes an approach to mathematically and economically substantiated design of SIS. Markov analysis is used for the stochastic process of SIS failures and technological incidents occurrence. The model is applied further for multi-objective optimization of SIS design. The research is relevant to engineering departments and contractors who specialize in planning and designing the technological solution.

• Redutskiy, Yury (2014). Offshore oilfield design. Full text in Research Archive Show summary

  We address modeling and optimization tools behind the Smart Oilfield technology, dominantly used for unconventional wells in offshore oil production. Decision upon location of the intra-oilfield pipelines network is made during the design phase of the oilfield development project. We apply a multi-stage combinatorial optimization algorithm for the pipelines structure design and for determining pipelines’ capacities. The algorithm is used to analyze how decisions made on different stages of the pipeline network design influence production efficiency during the phase of exploiting the reservoir.

• Redutskiy, Yury (2017). Strategic planning problems for smart solutions in oil and gas industry. Molde Univeristy College - Specialized University in Logistics. ISSN 9788279622246. Full text in Research Archive

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