ABSTRACT. In this study, we consider a periodic review inventory model using ABC and ORG classification methods, when the demand follows a Poisson process and the lead time for delivery is constant. The model optimizes the operational cost, consisting of order, inventory and discount cost subject to a service level constraint. In this study we use the window of fill rate, which is the probability to be served within a given tolerable time window as the service level. Two models are analyzed: In the first model all items are purchased simultaneously, whereas in the second model all items of the same group are purchased together. We present a methodology using the ARENA simulation package to demonstrate the model. We apply this model to an educational institution's procurement and logistics system and portray the model factors sensitivity analysis. In this application, the first model reduces the total cost by ten percent and the second model by fifteen percent.

ABSTRACT. This paper investigates potential benefits of an Information Sharing (IS) scenario in a two-stage supply chain where demand for an item is generated by the AR(1) process and inventory replacements are made according to an order-up-to level (OUT) policy. To quantify such benefits, the changes in the bullwhip ratio and the average on-hand inventory level are calculated. The analysis reveals that the choice of IS scenario depends simultaneously on three factors: (a) autocorrelation level, (b) relative length of lead times, (c) the size of probability for each member to face lead time demand at most equal to his OUT level.

ABSTRACT. Bundling two or more different products as a discount bundle is a common practice that could be frequently seen in various businesses (e.g. convenient stores and fast-food restaurants). In this paper, the demand to each product is assumed to be stochastic, and the manufacturer offers the retailers discounted bundles. The retailer buys the discounted bundle, separates its content, and sells its separate products for their full price. In that way the retailer increases profits while keeping the end-user demand distribution unchanged. The retailer's purchase policy is analytically analyzed, and the optimal solution is derived. A numerical example and a solution are provided for a mix of Uniform and Normal demand distributions to illustrate the solution methodology.

ABSTRACT. Determination of the critical spare parts is a crucial task in aviation during the process of forecasting spare parts demand. It is also extremely challenging task due to the fact that demand in the aviation industry is intermittent, i.e. it is small and highly variable in size. The aim of this paper is not to predict exact spare parts inventory levels by using traditional forecasting methods (e.g. Chroston’s), but rather to discover critical spare parts during the low and high season. In order to succeed in that aim, a text mining (TM) and association rule mining (ARM) techniques will be applied on a real-life dataset obtained from one European air carrier. Typical data mining steps; data familiarization, data pre-processing and transformation, model development and result interpretation, will be presented. Based on the insights obtained from results, conclusion and guidelines for further research will be delivered.

ABSTRACT. We study a single machine scheduling and due-window assignment problem. The objective function is of a minmax type, i.e., the goal is to minimize the largest cost among all scheduled jobs. We assume position-dependent job processing times in the most general way. A polynomial time solution procedure is introduced. We further allow job rejection, where the scheduler may decide not to process certain jobs, which are penalized accordingly. For this setting, a polynomial time solution is presented, provided that the processing times deteriorate, i.e., the (generally position-dependent) processing times are non-decreasing functions of the job position.

ABSTRACT. Horizontal collaboration in logistics is defined as the coordination of some operational activities among firms which are at the same level of the supply chain, i.e, they are competitors. Because of its importance in logistics costs, transportation is usually seen as the primal activity for which collaboration may be reached. Indeed, some successful cases have been reported in the forestry and energy area, but have occurred over limited ranges of time, and far from the breadth that would be consistent with the alleged benefits that it would bring. We attempt to explain this discrepancy. The rational we pursue in this paper is the following: until now, the OR models used to study the horizontal collaboration in transportation have not included competition between firms: contracts are signed, and both quantities and prices are fixed. Without competition, agreements always save on costs and it is then a matter of allocating costs savings wisely. In our model we consider a coalition formation game but prior to market equilibrium; that is, we propose a collaborative model in which, after the agreements are signed, the different firms and coalitions compete in multiple markets in Cournot fashion. When this happens, the formation of one set of coalitions affect prices and production levels of all other competitors, something that did not occur in the previous literature. Possible partnership among these firms are allowed and studied. One main result is that, as opposed to what has been found in the literature to date, forming coalitions that are beneficial to firms in the agreement is actually quite hard, which would explain why collaboration has not been observed as much as expected. Moreover, when such coalitions emerge, it is likely that they will attract opposition from antitrust authorities. We propose two models to respond the question of which coalitions will be formed in this setting, including at times the restriction that the agreement should be cleared by antitrust authorities.

ABSTRACT. In queuing theory, a vacation queue is one where the server (human or machine) suspends the service for a certain period of time due to system constraints and priorities, or due to a failure of the service system. The vacation period, as well as the vacation schedule, can be planned ahead or can be determined according to the status of the system. In existing models of vacation queuing, the server’s capacity before and after the vacation period is identical. In this work we present a different type of vacation queue where the capacity of the server deteriorates during the service period (e.g. due to fatigue of a human server or wear and ageing of machinery) and improves after the vacation period (e.g. following a recovery period for a human sever or servicing of machinery). Considering the various costs associated with the vacation queue, we analyze the effects of different vacation policies on the total cost. In particular, we consider the scheduling of vacation periods and their length as a function of the deterioration and improvement rates. The model proposed in this paper has a wide variety of applications in real-world queuing services as well as in other types of applications. As an example we illustrate an application of the model in sport, where a skilled player (the server) needs to be temporarily replaced by a less skilled player to facilitate recovery for optimum performance later in the game. Such a model can assist coaches in planning the game’s strategies.

ABSTRACT. In this research we focus on whether it is possible to introduce competition for the market in air traffic control in Europe and the likely outcomes. We develop a two-stage, network, congestion game in which multiple air navigation service providers bid to serve an airspace. Airlines subsequently choose their optimal flight paths such that they minimize their operating costs. The individual governments set up an auction in which they specify minimum service levels and the rules of the auction, such as the right to increase charges as a function of air service levels. The winners of the auctions are the service providers that bid the lowest charge. We test the likely equilibria outcome if the companies are for-profit or non-profit air navigation service providers. The results suggest that introducing competition for the market via outsourcing service provision may reduce charges by up to half the current levels. It would also appear that auctioning the service is likely to lead to defragmentation of the European system as companies win more than one auction. Finally, it would appear that for-profit companies are highly likely to invest in SESAR technologies thus encouraging technology adoption faster than appears to be occurring today. We note that it is important to ensure a sufficient number of competitors for the auction process to be successful over time. Without an auction process, non-profit companies would be strictly preferable to both the current state agency and to a government corporation.

ABSTRACT. High complexity in organization and technology together with the reduction of time and inventory buffers in the context of lean production increase the susceptibility of operational processes. As a result, process stability can no longer be guaranteed under economic aspects. The developed maturity model presents an analytical toolkit, which reflects the success factors of disruption management from the perspective of science and practice. Based on the maturity model, the status quo of disruption management is analyzed by a large-scale empirical study among German speaking companies.

ABSTRACT. The evaluation of the operational availability of a fleet of systems on an operational site is far from trivial when the size of the state space of a faithful Markovian model makes this issue unrealistic for many large fleet of systems. The main difficulty comes from the existence on the site of line replaceable units that may be unavailable from time to time when a breakdown occurs. In this paper, we present a simpler but approximate method which has given a quite good accuracy when tested on small cases. The main idea is to consider a non product form queuing network and to aggregate subsets of it as if they were parts of a product form queuing network. Nevertheless, the generalization to systems with multiple types of line replaceable units needs to be investigated further and tested with respect to the accuracy of the new approximate method.

ABSTRACT. The purpose of this article is to verify the trends and interrelations between the various subtopics of the Logistics area of knowledge. In order to do so, it has performed an analysis of co-occurrence of keywords in academic articles. Data from Web of Science database were divided by decade (from 1951 until 2017) and treated in Vosviewer software. It was observed an exponential growth of the field from the year 2000 with tendency to stagnation from 2017. Themes that have been relevant in the past have been replaced by new themes of interest and increasingly new themes are addressed.

ABSTRACT. The talk presents a novel approach to evaluate the joint effects of retail promotions on arrival traffic, conversion probabilities, and customer expenditures, key measures of promotions’ effectiveness. Retail researchers say that a store visitor converts if she makes a purchase before leaving the store. The conditional stages visit-conversion-expenditure is common in sales operations settings beyond sales in brick and mortar stores, for instance sales via call centers. More formally, the approach evaluates the effect of an intervention on three-dimensional time series with dependent components: counts of visitors, counts of converting visitors and expenditures. Assuming that the promotion did not occur, the approach uses the data outside the intervention interval to build counterfactual baselines for each of the three processes during the intervention. To evaluate the effects of the intervention, the approach compares the observations during the intervention to the corresponding baseline series. To compute the prediction distribution associated with the baseline, the approach uses a simple implementation of the bootstrap.

This approach has at least three strengths: first, it does not require building a statistical model for the promotion effect. Second, it controls for covariate effects, such as time of the day, day of the week, etc. Third, it measures the effects of the promotion directly on the quantities of interest, arrival counts, conversion probabilities, and expenditures.

An illustration with data from an actual store combines arrival data from video images and sales recorded at sales registers.

ABSTRACT. India is the second most populated country in the world, with nearly a fifth of the world's population. For many individuals living in India—and particularly those living in rural areas, who make up a majority of the country’s population—obtaining access to basic healthcare services is challenging. In particular, healthcare provisions for pregnant women in rural areas are based in centralized Rural Hospitals (RH) and in Primary Health Centers (PHC), and ambulances are used to transport individuals to these locations. However, a lack of ambulances, coupled with the fact that healthcare centers are highly dispersed and isolated, forces pregnant women to deliver their babies at home. This situation, in which women give birth under poor hygienic and sanitation conditions, and without access to medicine and necessary medical staff (i.e., doctors and nurses), results in high rates of infant and maternal mortality. To reduce these rates, it is necessary to substantially improve the operations of the process of transporting pregnant women to medical facilities. Accordingly, herein we seek to optimize: (a) the number and locations of the ambulances, as well as (b) their scheduling and routing. In our study, we focus on Mulshi Taluka in Pune District of Maharashtra, India, which is located in the hilly terrain of Western Ghats. To find a solution for the considered problem, we develop a new mathematical approach based on a combination of dynamic routing and scheduling rules with an optimal allocation algorithm.

ABSTRACT. With growing importance of natural gas as third most important fuel and fastest growing component of world primary energy consumption, its supply chains are becoming more complex in seeking of ways for simultaneous optimization and further expansion. To gain clearer insight into situation and relations between members of natural gas supply chain, to explore possibilities for optimization of its processes, to avoid multiplication of activities and to prevent the occurrence of failures or catastrophe in the system, practitioners and scientist use supply chain mapping techniques. Paper aims to present existing types of supply chain maps, its benefits, limitations and ways of use for natural gas supply chain mapping through case study method of mapping Croatian natural gas supply chain. The second objective is to identify key sources of the inefficiency of the process under regulated market conditions and to offer a conceptual simulation model that can serve to eliminate or minimize the inefficiencies resulting from the mismatch between the order (nomination) and the withdrawal of gas by the balance groups.

ABSTRACT. One of the goals declared in the EU white paper “European transport policy for 2010: Time to decide” is to reduce car travel by encouraging passengers to switch to more sustainable modes of transport. For medium to long distance trips of around 300 to 700 km, the target mode is high speed rail and the network has been expanding over the last two decades. A crucial element that enhances high speed rail and air travel choice is reasonable accessibility to residential centers. Estimating catchment areas are problematic, generally relying on simplistic assumptions with respect to spatial GIS data or sparse, inaccurate survey data. In this research, we estimate catchment areas based on the analysis of data generated from personal mobile devices. Anonymized mobile phone records are combined with data from the Google Maps Directions API and other sources to reconstruct trips and estimate the modal share between the Madrid and Catalonia regions in Spain. Based on a multinomial logit analysis, we are able to identify the impact of the length of access and egress times to the high-speed rail station or airport on the probability that passengers choose to drive between Madrid and Catalonia, which amounts to 50% of all trips. We note that passengers are less willing to accept longer travel times to airports than to high-speed rail stations and proximity to high-speed rail stations have a slightly more negative affect on the aviation market share than vice versa. Finally, proximity to high-speed rail stations attracts more passengers from the road mode than do access to airports.

ABSTRACT. Reducing the average processing time (APT) of loading and unloading operations is one of the most important objectives in a container terminal. One of the factors influencing APT is the interaction between quay crane operation and the yard trucks operation. When buffer operations involve no further delay, the system can be represented by the analytic M/M/C/N queueing model. Otherwise, an event-based simulation model is used. The main measure used in the analysis is the relative interaction delay (RID), defined as the difference between the APT per unit and its lower bound, divided by the lower bound. RID values range from 0 to 0.5. Buffers can reduce RID considerably, e.g. the RID of 0.5 reduces to 0.25 when using a buffer of size two. For given buffer size and number of servers, the RID reaches its peak when the ratio of supply to demand (θ) is one, and approaches zero when θ gets away from one. In practice systems are likely to operate near the balanced point between supply and demand (θ=1), and therefore the consideration of interaction effects is important. Other properties of RID are examined analytically and numerically. Simulation results for minor buffer slowdown (10%) are similar to the ideal case. Increasing the number of buffer spaces is helpful only until a specific value of θ, above which a reverse impact occurs, as the harm of buffer slowdown becomes higher than the benefit of the buffer. The specific θ threshold value decreases as the number of servers increases.

ABSTRACT. We study the classical method of common due-date assignment and focus on minmax objective functions. In due-date assignment problems, the objective is to find the optimal due-date and job sequence that minimize the total earliness, tardiness and due-date related costs. We extend the single agent problem to a setting involving two competing agents and to a setting of multi-agent. In the two agents setting (herein agents A and B), the scheduler needs to minimize the maximum cost of the agent A, subject to an upper bound on the maximal cost of the agent B. In the general model of multi-agent scheduling, the scheduler needs to minimize the cost of each of the A-type agents, subject to an agent-dependent upper bound on the maximal cost of the B-type agents. We further generalize the problems to the method of common due-window assignment. For all studied problems, we introduce efficient polynomial time solutions.

ABSTRACT. In economics, a shortage is a situation in which the demand for a product or service exceeds its supply in the market. It is clear that parking slots, especially in the big cities, are in shortage. Given a choice, drivers prefer free parking, but free parking has substantial costs. The populations around bear the parking costs through higher taxes and retail prices. The trade-off is actually between paying for parking directly or indirectly. Paying directly for parking is more efficient and fair. This research proposes a model for managing parking demands by setting the right parking price. The right parking price is defined as the price for maximizing the revenue or for setting a given level of occupancy of the park slots. The research uses a queuing model and the concept of price elasticity to calculate the optimal parking price. The proposed model can be used by practitioners who want to set the right price for parking.

ABSTRACT. Overcrowding remains a common problem in hospitals’ emergency and hospitalization departments all around the globe. Many departments face lack of resources and inability to add more space to the already existing treatment areas. With fixed available space and limitation of the available budget there is a need to find the best allocation for the existing hospital’s resources, such as beds and treatments chairs. In our research we address two streams of patients: The first stream can be served only by beds while the second stream can be served by either arm-chairs or beds. Both streams have Poisson arrivals rate. We further assume different costs for transportation and renting of the resources. We programed the general description of this problem, then compared different strategies under various conditions in order to evaluate them and gain insights for better decision making. We used two “extreme” strategies: (I) a fully flexible system that changes resources for every change in the demand and (ii) a solid system, where the resources are fixed or can be change in intervals of days or shifts. In addition, we gave as an input to the program few “in-between” strategies for scenarios observed in two hospitals in Israel and gave insights about their potential of improvement. To conclude we discuss further options to extend this method to the entire hospital, the benefits and possibilities for actual application, and the barriers that are facing it.

ABSTRACT. The evolution and interdisciplinarity of Logistics and SCM presume inevitable changes in professionalism demands. A dialogue between enterprises, universities and research aimed at aligning the required skills is therefore necessary. In that regard, the Authors felt the need to reflect on the content and methodologies offered by universities to provide graduates with the technical and management tools necessary to effectively operate in logistics and SCM. Then, this research aims to identify and activate possible tools to encourage the creation a "bridges" between the University world and logistics environment. The methodology adopted by the Authors is summarized in: verified the presence of standards of competence. After establishing which standards to include and having justified selection criteria, the authors have prepared a matrix containing the main jobs associated with the main technical competences to these job descriptions. These competences were then aggregated and produced by matrix where the technical macro competences necessary to effectively work on the Logistics and SCM have been combined with the target of competences that can be developed by the programs of Italian universities. Considering all what we explained regarding business requirements in terms of jobs, competence areas and the training offer provided by Universities, it becomes clear that there is a major gap between the requested competence system and topics being taught. Assuming that one of the causes behind such a gap is a reduced information exchange between academy and the business, the Authors foster a systematic re-engineering of the contents of university curricula.

ABSTRACT. This article presents a proposal for a framework for the evaluation of innovation performance resulting from innovation capability of Brazilian low-tech small companies. It was built as a reference model and is based on three increasing levels of granularity: performance perspectives, performance parameters and evaluation parameters. This framework has potentially several applications, generating benefits from the provision of conceptual guidelines that can increase the competitiveness and innovation performance of small Brazilian companies through differentiations and innovations based on management mechanisms that are independent of formal research and development.

ABSTRACT. Organizations have realized that an efficient supply chain will enable the organization to succeed and become a competitive advantage, and the most important factor in an efficient supply chain is the selection of vendors to suit this purpose and the needs of the organization. There are various methodologies that enable decision makers in the organization to make the optimal choice of vendors to suit their requirements. The process of selecting vendors is complicated by the fact that there are a large number of criteria involved in the examination and to determine who is the most suitable supplier to contact with. This study examines the methodology of evaluation of vendors in various organizations, which is composed of several factors. The objective was to identify the factors that affect the accuracy of the evaluation result against the satisfaction with the organization from the performance of the vendors. Mapping the factors with the critical mass will enable decision makers to invest efforts and give an emphasis to the influencing factors in order to obtain a more accurate evaluation result, which best reflects the satisfaction of the various departments in the organization. The result of the evaluation is a score that can be provided according to a methodology chosen by the organization, and it is supposed to reflect the level of satisfaction of the stakeholders in the organization from the contract with the supplier and to rank its performance to their satisfaction. The research methodology is based on survey data that includes 105 procurement managers, suppliers and project managers. A structural model is defined using Structural Equation Modeling (SEM) approach with integration of explanatory and confirmatory factor analyses. The results of the research show that there is actual realization and expression between the results of an assessment depending on the methodology used, the score obtained and changes in actual activity with the vendor.

ABSTRACT. Urban systems in the logistics dimension are concentrating areas. It concerns economy, communication, human resource management and goods. Apart from typical that limit the negative impact of transport on the environment, it is necessary to apply, such tools as legal or environmental regulations, and activities related to the so-called "Green" or "sustainable" Logistics. They include the use of standards specifying the permissible emission of pollutants, the use of hybrid engines, the use of ecological consumables such as eco-fuels and others. Particular attention should be paid to the availability, the possibility of providing supply, efficient mass communication, transfer of tourists, and unloading of transit traffic. The article aims to highlight the spatial and social consequences of improperly pursued logistics policy, the need to update infrastructure solutions connected with investment plans and to stress the importance of striving to preserve or improve the quality of life in the city as the main objective of its functioning.

ABSTRACT. Annual influenza epidemics cause great losses in human and financial terms. Vaccination is the most effective way of protecting people from being infected. However, the impact of vaccination on the disease spread is dependent on the chosen immunization strategy and on functional, end-to-end vaccine supply chains and logistics systems. This paper aims to determine optimal combination of the various immunization strategies that leads to decrease of the disease burden. A supply-chain based model is suggested to address this problem. Computational results show that the targeted vaccination significantly outperforms other strategies and prevails over them in terms of cost and efficacy.

ABSTRACT. The official framework of the earthquake preparation policy in Israel presumes that care for all casualties is of main interest and as so defined the necessity of deploying Emergency Treatment Sites (ETS) as part of disaster logistics. These treatment sites will provide medical first aid during the first 72 hours to moderate and light condition casualties. While authorities define only one kind of ETS, equipped and positioned in advance, defined here as static ETS, our optimization model suggests adding new mobile ETS that participate under command of the static ETS. These mobile ETS will be equipped and positioned only after an event occurs. The model is based on minimizing distance on network hierarchical location problem with "soft" constraints, where a set of destruction locations including casualties and sets of candidates static and mobile ETS are given. The destruction sites and number of casualties are based on Hazus software prediction for specific area and damage scenario while the candidate ETS locations are suggested according to emergency safety instructions. The research scenario assumes that a mobile ETS will be connected only to one destructions site and one static ETS within defined maximal distance. A static ETS can serve several sites. The model we developed will provide the best recommended locations for both static and mobile ETS, that can handle the maximum casualties at minimum duration under given restrictions. Those planed facilities can help minimizing uncertainty of policy makers at disaster logistics during the first hours, saving more lives.

ABSTRACT. Scheduling staff to cover work duties is an NP-hard problem. We in addition, take account of staff fatigue and autonomy, which is made possible through measures of fatigue, and priorities on leave requests. This work bridges academia and practice, and hopefully provides a demonstrator of a valuable contribution of mathematics/OR to the world. We in the UK have developed our ergonomic optimisation rostering tool for use in 24/7 emergency departments in our highly pressurised National Health Service (NHS). I will explain the difference between the current NHS rota system and a roster, and present some very satisfactory results and feedback on the improvement in doctors’ well-being. On the practical side, the mathematical program requires the formulation of a complex set of legislative and contractual rules, following legal advice. For completeness I should also mention barriers to use in the form of change management and commercialization issues. The rostering service is offered under Nightglass Medical Rostering Ltd..

ABSTRACT. In 1989, in Poland, a political transformation followed by a great social, and economic changes took place. With the restoration of property rights and the introduction of the free market rules, the construction of multi-family housing estates intensified, chaotically coinciding with the existing urban structure. In Cracow, the landscape of the historic city with an amazing development potential has begun to deteriorate due to the formation of architecturally inconsistent housing estates In order to improve the quality of the space, the principles of sustainable development have been applied. However, theoretical assumptions were not always reflected in the practice. The article raises the question whether housing estates created in the authoritarian system were more friendly to man and the environment, closer to the principles of sustainable development than multi-family housing units that are being created nowadays. The analysis of multi-family housing buildings created in two selected time intervals provides the opportunity to examine whether the "old" housing estates may have features worth imitating and whether new objects of this type should be further implemented in accordance with the developers' vision. On the basis of the analyses, it can be stated that under the guise of shaping friendly spaces, we obtain objects that have been removed from the environment and isolate the inhabitants from the rest of the society.. The article aims to compare two ways of creating architecture: before and after the period of political transformation in Poland, in order to determine patterns of building multi-family housing estates in accordance with the principles of sustainable development, useful in the future.

ABSTRACT. Medium-sized cities [1] like Oświęcim are shrinking. They face many problems: the ageing inhabitants, the outflow of young people, high level of migration, insufficient development of entrepreneurship, polluted environment and the decrease of the resources. Currently, the attention of local governments of small and medium-sized cities is directed at undertakings that increase their attractiveness and minimalise the environmental damage. These activities are focused on improving the quality of the environment, spatial arrangement, and the quality of life [2]. The author analyses the city of Oświęcim with regard to the aspects mentioned above, trying to prove that the town of Oświęcim follows the path of sustainable development. There are many issues included in the principles sustainable development: - architectural and spatial aspects: improvement of the quality of public space, revitalisation and modernisation of buildings and technical infrastructure, reduction of their environmental impact, increase in the number of safe and friendly green spaces -social aspects: activities aimed at maintaining social balance in a given area, logistics of the investment process, including forecasting market needs and satisfying customer expectations - economic and ecological aspects: green logistics as optimisation of the potential of a given place and its use in the proper manner

ABSTRACT. In 1989, in Poland, a political transformation followed by a great social, and economic changes took place. With the restoration of property rights and the introduction of the free market rules, the construction of multi-family housing estates intensified, chaotically coinciding with the existing urban structure. In Cracow, the landscape of the historic city with an amazing development potential has begun to deteriorate due to the formation of architecturally inconsistent housing estates In order to improve the quality of the space, the principles of sustainable development have been applied. However, theoretical assumptions were not always reflected in the practice. The article raises the question whether housing estates created in the authoritarian system were more friendly to man and the environment, closer to the principles of sustainable development than multi-family housing units that are being created nowadays. The analysis of multi-family housing buildings created in two selected time intervals provides the opportunity to examine whether the "old" housing estates may have features worth imitating and whether new objects of this type should be further implemented in accordance with the developers' vision. On the basis of the analyses, it can be stated that under the guise of shaping friendly spaces, we obtain objects that have been removed from the environment and isolate the inhabitants from the rest of the society. The article aims to compare two ways of creating architecture: before and after the period of political transformation in Poland, in order to determine patterns of building multi-family housing estates in accordance with the principles of sustainable development, useful in the future.

ABSTRACT. The article discusses the purpose of Green Logistics and its importance in implementing the primary objectives of Green Architecture as one of the determinants of sustainable development. The reduction of costs and energy inputs in the construction business has a direct impact on the economic sector and contributes to the environmental protection. The article aims to indicate the possible benefits resulting from the implementation of the Green Architecture principles based on the assumptions of Green Logistics favouring the pro-environmental attitude. As we witness numerous environmental threats and energy crises, sustainable development and the favourable Green Logistics became a priority for economic growth, including construction, a sector that receives a large part of the capital. Therefore issues such as cost control, control of energy indicators of the facilities, use of the climate specificities, appropriate technology or local, but improved building materials- biomaterials are not without significance.