This paper presents a multi-objective optimisation solution procedure for the design of the Shuttle-Based Storage and Retrieval System (SBS/RS). An efficient SBS/RS design should take into account multi-objectives for optimization. In this study, we considered three objective functions in the design concept which are the minimization of average cycle time of transactions (average throughput time), amount of energy (electricity) consumption and total investment cost. By also considering the amount of energy consumption as an objective function for minimization, we aimed to contribute to an environmentally friendly design concept. During the optimization procedure, we considered seven design variables as number of aisles, number of tiers, number of columns, velocities of shuttle carriers, acceleration/deceleration of shuttle carriers, velocity of the elevators lifting tables and acceleration/deceleration of the elevators lifting tables. Due to the non-linear property of the objective function, we utilized the Non-Dominated Sorting Genetic Algorithm II (NSGA II) genetic algorithm for facilitating the solution. Lastly, we searched Pareto optimal solutions to find out the optimum results. We believe that this study provides a useful and a flexible tool for warehouse planners and designers, while choosing a particular type of SBS/RS at the early stage of the warehouse design.

In this study, the authors have investigated warehouse processes to identify critical ones that are wasteful. The aim of this research study was to improve the efficiency of warehouse processes by reducing travel time and cost in replenishment and order picking. To achieve this objective, the authors have proposed a mathematical model and discrete event simulation study. For the simulation model, the Dijkstra algorithm has been selected to schedule forklifts driving and picking vehicles routes in internal transport. According to the extensive simulation analysis approximately 67 % of waste could be reduced in warehouses. Of course, this number depends significantly on a warehouse layout, operations and material handling equipment used in warehouses.

The aim of this research is forwarded for assessment of provision possibilities of the multi-componential and heterogeneous services in the fast-changing topology of cargo transportation processes. The mobile intelligent services in current transport means require the development of complex infrastructure for multi-compositional service support. Our objectives are related to the investigation in data-transfer capabilities for heterogeneous service support, which is offering some improvements for developing the infrastructure of transportation of vehicles and helping in the administration of transport processes. This research aims to develop an approach for the assessment of infrastructure for sustainable management of cargo transportation processes by roads. Such assessment is multi-layered by including the management possibilities of cargo transportation logistic processes and electronic (smart, mobile) services using current innovative software and hardware of information communication technologies (ICT). Special attention is paid for road safety, more environment cleanable, and paperless management by assessing the integration of potentials and prospects of wireless, vehicle ad-hoc communication networks (VANET), and other communication possibilities. Some requirements are revealed for such type of infrastructure for the provision of heterogeneous services. The results of the development of infrastructure demonstrate the capacities of the potential of wireless networks for the provision of high-level of multi-component, heterogeneous services.

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Nowadays the great attention has to be paid to warehouse. Theoretical analysis shows the need to optimise their activities. This encourages the search of more advanced solutions. Aiming to determine possible improvements, the operations of forklifts are examined in warehouses, and detail solutions are presented.For empirical study author created a simulation model and tested different scenarios. First of all, author examined the new routing method and suggested programming algorithm for forklift route optimization. In the first part of the study possible improvements for put-away activity are analysed, in the second part -improvements for replenishment activity are overviewed. Simulation results showed that the reduction of forklift travel distance is equal from 11.1 % to 35.6 %. Finally, the study ends with detail suggestions: author presented new routing method and forklift routing algorithm. Further, the theoretical results have to be tested in practise.

The primary purpose of the research is the improvement of the orders picking process without additional investments for the software, employees, tool and inventories. For problem-solving, the data about picking is exported and preprocessed from WMS. The BigData analysis and product clustering in Tableau software is delivered using the data, where the Product Allocation Problem (PAP) is solved. Picking time for reference scenario and new analysed one is calculated and compared. The presented research proves that standard data collected by WMS could be used for solving PAP for the reduction of total picking time. The method delivered by authors could be in a typical warehouse, where forklifts and employees do the order picking process. The plan after an upgrade could be used for automatic picking, and implemented WMS. For BigData analysis, Tableau is connected to WMS database. Such solution could be used for everyday analysis and planning the allocation of products. The presented method is easy to use; there is no need to invest in expensive software and automation of the picking process to achieve the high performance of the orders picking process. However, its application allows the increase of efficiency rates. Storekeepers can select more products at the same time. The presented research is original because of using simple methods and analysis of specific data, which until now are only used to calculate employee performance indicators.

Threats caused by linear economy pushes humanity for transition to circular economy model. At macro level benefits of circular economy are seen very clearly, due to that, governments set priorities to reduce the environmental impact of economic growth and encourage businesses and consumers to implement circular economy principles. However, implementation of circular economy at micro level, by businesses and consumers, still appears to be in early stages. The purpose of this article is to create holistic view of barriers and drivers of circular economy, which would help to understand ways for encouraging business and consumer to use circular economy principles. For this purpose, 28 circular economy barriers and 22 circular economy drivers described in scientific literature was analysed. The result of the analysis - created system of circular economic barriers and drivers, which shows: directions for required macro level support to promote the transition of micro and meso level to circular economy model; way for benefits generated by micro and meso level, to achieve a macro level environment. The results of the research are theoretical and refer to the direction of further research.

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