Planning Process Research Articles

Interaction Between Automation and Humans in Supply Chain Planning

Automation is transforming supply chain planning (SCP) processes, replacing human tasks with technological solutions. While automation offers efficiency gains, the interaction between humans and automated systems presents behavioral challenges. This study investigates how decision-makers in SCP processes learn to correct errors when interacting with automated demand forecasting systems versus human planners. Drawing from psychology and behavioral theories, we examine the effects of interaction type (automated system vs. human) on learning, operationalized as performance improvement over time. Further, we analyze whether this relationship is moderated by cognitive psychological traits (positive attitude towards technology, technology anxiety/dependence) and socio-psychological traits (social influence based on subjective norms, social influence based on image) of the human decision-maker. Our article contributes to supply chain management research by introducing automation-human interaction, providing a temporal learning perspective on performance, and integrating cognitive and socio-psychological moderators. Insights are offered on how to facilitate effective human-automation collaboration by managing socio-psychological influences. Limitations and future research opportunities, including cultural contexts and artificial intelligence, are discussed.

Coping with the uncertainties of make-to-order production: a new approach for determining reliable delivery times with the throughput diagram

Make-to-order companies have to deal with particular uncertainties in their offer processing. At the early stage of planning offers, it is particularly uncertain 1) which open offers will be accepted by customers and 2) what capacity these will require. Therefore, it is particularly challenging for make-to-order companies to determine and keep to binding delivery times, so that many companies have problems achieving a high delivery reliability. In this paper, we show a simple model-based procedure to determine delivery times using the throughput diagram with early available information such as the offer requests in the planning process. Simulation studies show that the procedure, especially in combination with a CONWIP order release and an EODD sequencing rule, achieves a high delivery reliability without sacrificing other logistic objectives such as utilisation. Furthermore, the procedure proves to be very robust against random deviations of the planning parameters.

Enhanced Multi-UAV Path Planning in Complex Environments With Voronoi-Based Obstacle Modelling and Q-Learning

To tackle the challenge of obstacle avoidance path planning for multiple unmanned aerial vehicles (UAVs) in intricate environments, this study introduces a Voronoi graph–based model to represent the obstacle-laden environment and employs a Markov decision process (MDP) for single UAV path planning. The traditional Q-learning algorithm is enhanced by adjusting the initial state of the Q-table and fine-tuning the reward and penalty values, enabling the acquisition of efficient obstacle avoidance paths for individual UAVs in complex settings. Leveraging the improved Q-learning algorithm for single UAVs, the Q-table is iteratively refined for a fleet of UAVs, with dynamic modifications based on the waypoints chosen by each UAV. This approach ensures the generation of collision-free paths for multiple UAVs, as validated by simulation results that showcase the algorithm’s effectiveness in learning from past training data. The proposed method offers a robust framework for practical UAV trajectory generation in complex environments.

Sustainable Planning & Optimization of Water Distribution System of Vikasnagar, Dehradun

This paper provides a comprehensive overview of the planning process for establishing a distribution network for water supply in Vikasnagar, Dehradun, focusing on the utilization of groundwater sources over surface water sources. It delves into the characteristics of groundwater source, discusses the infrastructure requirements, and addresses the projected water demand for Vikasnagar in the coming decades. Additionally, it highlights the current water scarcity issues faced by Vikasnagar and emphasizes the urgency of implementing sustainable solutions to ensure adequate water supply for the growing population. The sustainable provision of water in Vikasnagar remains a critical challenge due to the depletion of surface water sources. To address this issue, ongoing research endeavors are exploring the utilization of groundwater as a primary source to meet the region's ultimate water demand. Preliminary findings suggest the potential viability of groundwater as a dependable water source for Vikasnagar ultimate demand. However, challenges such as groundwater depletion, contamination risks, and socio-economic implications necessitate further investigation and intervention. In conclusion, ongoing research on groundwater-based water supply in Vikasnagar shows promising prospects for mitigating water scarcity challenges. However, to realize a sustainable water future for the region, concerted efforts must be made to address existing limitations and pave the way for innovative solutions that prioritize both environmental conservation and societal well-being.

Technology factors and ERP system efficiency in the Jordanian industrial firms: does company size matter?

The study was structured to investigate the impact of technological factors on the effectiveness of enterprise resource planning (ERP) in Jordanian industrial firms, using a descriptive-analytical approach. This study also examines company size as a moderator variable, which has been measured using the logarithm of total assets extracted from each firm’s annual report. The study’s target population consisted of all Jordanian industrial firms listed on the Amman Stock Exchange, totaling 55 firms. Managers participated as respondents, with 220 questionnaires distributed electronically, averaging four questionnaires per company. After data collection, 92 valid questionnaires were used for statistical analysis. The findings indicate a significant and positive relationship between technological factors (such as ease of use, perceived usefulness, and digital proficiency) and ERP system effectiveness in Jordanian industrial firms. However, the study revealed that trust, as one of the technological factors, did not significantly impact ERP system efficiency. Additionally, it was found that the moderating role of company size moderates positively the relationship between two technological factors (i.e., perceived usefulness and digital proficiency), and ERP system efficiency. The research suggests that industrial firms in Jordan should take into account technological factors, including factors like ease of use, perceived usefulness, and digital proficiency, to remain current with advancements that can improve the efficiency of ERP systems. This is important due to the positive influence it can have on the operational effectiveness of Jordanian industrial companies, aiding them in their planning and decision-making processes.

Finding harmony in the sea: Resolving conflicts by regional marine spatial planning

Ocean space is of paramount importance to coastal regions worldwide. However, rapid coastal development has led to competition in marine spatial allocation, exacerbating conflicts within maritime domains. Despite significant progress in establishing regulations for coastal governance in Taiwan, conflicts across diverse maritime industries due to a lack of marine spatial planning (MSP) institutions remain a persistent challenge. Potential conflict areas were identified via geographic information system (GIS) maps to assist maritime governance and used in several rounds of coordination meetings with stakeholders for zoning. A regional MSP framework for improving maritime governance is proposed based on a case study, which shows that even without legal MSP institutions, local or certain central government departments can act as the key authorities for implementing the bottom-up planning concept with strong engagement from local communities. The proposed planning process includes: (1) establishing and employing a monitoring system to promptly identify marine activities that can facilitate efficient enforcement; (2) continuous communication with stakeholders led by the local government to improve amendment regulations and aid compliance; and (3) prioritizing the preservation of traditional use rights with community self-management to accelerate regional MSP processes.

Flood vulnerability assessment in rural and urban informal settlements: case study of Karonga District and Lilongwe City in Malawi

AbstractFlood vulnerability assessment (FVA) informs the disaster risk reduction and preparedness process in both rural and urban areas. However, many flood-vulnerable regions like Malawi still lack FVA supporting frameworks in all phases (pre-trans-post disaster). Partly, this is attributed to lack of the evidence-based studies to inform the processes. This study was therefore aimed at assessing households’ flood vulnerability (HFV) in rural and urban informal areas of Malawi, using case studies of Traditional Authority (T/A) Kilupula of Karonga District (KD) and Mtandire Ward in Lilongwe City (LC). A household survey was used to collect data from a sample of 545 household participants. Vulnerability was explored through a combination of underlying vulnerability factors (UVFs)-physical-social-economic-environmental and cultural with vulnerability components (VCs)-exposure-susceptibility and resilience. The UVFs and VCs were agglomerated using binomial multiple logit regression model. Variance inflation factor (VIF) was used to check the multicollinearity of variables in the regression model. HFV was determined based on the flood vulnerability index (FVI). The data were analysed using Multiple Correspondence Analysis (MCA), artificial neural network (ANN) and STATA. The results reveal a total average score of high vulnerability (0.62) and moderate vulnerability (0.52) on MCA in T/A Kilupula of Karonga District and Mtandire Ward of Lilongwe City respectively. The FVI revealed very high vulnerability on enviroexposure factors (EEFs) ($$0.9$$ 0.9 ) in LC and$$(0.8$$ ( 0.8 ) in KD, followed by ecoresilience factors (ERFs) (0.8) in KD and$$(0.6$$ ( 0.6 ) in LC and physioexposure factors (PEFs) ($$0.5)$$ 0.5 ) in LC besides 0.6 in KD for the combined UVFs and VCs. The study concludes that the determinants of households’ flood vulnerability are place settlement, low-risk knowledge, communication accessibility, lack of early warning systems, and limited access to income of household heads. The study recommends that an FVA framework should be applied to strengthen the political, legal, social, and economic responsibilities of government for building the resilience of communities and supporting planning and decision-making processes in flood risk management.

Generative Urban Design in the Field of Infrastructure: An Optimizing Solution for Connecting Fier and Vlora County by a 600 m Bridge over Selenica River, Albania

The way we think about infrastructure is being completely changed by parametric and generative design. Meanwhile the contemporary urban planning process is often viewed as a complicated and fragmented workflow. The main goal is to optimize solutions with tens of thousands of variations while concurrently taking into consideration various limits. This Paper will discuss and demonstrate the use of a generative urban design framework at the local scale. Although relevant to infrastructure, generative design is not limited to architecture. And on the other hand, the construction sector is becoming more specialized and complex. The close cooperation between structural engineers, architects, urban planners and other stakeholders is a major driving force behind modern projects. The building site is cut off from architects and engineers, particularly in the digital age. To ensure a three-dimensional scope of work, digital models are therefore necessary. The difficulty is that the structural model and architectural model do not match up exactly. A generative design is therefore explained in the case of a bridge design. Bridges are effective structures that provide a variety of topologies, materials, and geometries. This paper examines how the geometry and topology of a 600 meters long bridge can bring an optimal solution for connecting two nearby counties, Fieri and Vlora. The performance of the bridge can be examined by altering the geometrical parameters in addition to the topology. By adding more design factors and offering a fresh method for bridge optimization, the study aims in further developing the initial parametric model. Since the process of changing the design is quite quick and the analysis is displayed instantly, using parametric design to study alternative options for bridges could be highly helpful to designers. Keywords: generative design, bridge, geometry, typology, optimization, deflection.

Strategic Transportation Planning: Co-Site Planning at Coolwood SA Company

This technical report presents a meticulous exploration of the site planning endeavours undertaken by CoolWood SA, a distinguished entity in wood furniture production, as it endeavours to relocate its operations to Hasselt, Belgium. With over 15 years of industry expertise, CoolWood SA seeks to optimize spatial utilization and operational efficiency through strategic site planning. The report delves into the intricacies of site location, area adjustment, department allocation, external flow access to the warehouse, and current road infrastructure analysis. Utilizing a multifaceted approach, CoolWood SA collaborated with Afro International Transport Planning Consultants to employ various software tools and adhere to international standards throughout the planning process. Key findings include detailed area adjustments, department allocations aimed at enhancing operational efficiency, and analyses of internal circulation, parking requirements, and external traffic movement. Notable measures such as prioritizing employee safety, accommodating diverse transportation modes, and promoting cleanliness and hygiene within the facility are meticulously outlined. The report concludes with insights gleaned from sight distance analyses, swept analysis simulations, and overarching recommendations for CoolWood SA to elevate safety standards and facilitate industry growth. By implementing the proposed strategies and measures, CoolWood SA stands poised to navigate its relocation journey with precision and foresight

Database Version Control: AWS and RDS Integration with Python

This paper presents an automated approach for managing database versioning and upgrades through the integration of Amazon Web Services Relational Database Service (AWS RDS) metadata into MongoDB using Python. By leveraging this integration, the system streamlines the process of version control and upgrade planning, improving efficiency and reliability compared to manual methods. Through experiments, we demonstrate the effectiveness and scalability of our approach, offering a practical solution to enhance database management workflows.

Waste Bank Innovation Management Using Digital Innovation System Management in Cicadas Village, Gunung Putri District, Bogor Regency

Urbanization has led to a concomitant rise in population, giving rise to various socioeconomic and environmental issues. Consequently, trash problems frequently arise in numerous developing nations like Indonesia. Several cities in Indonesia continue to grapple with their deteriorating garbage issues due to heightened output. Therefore, to establish an optimal waste management framework in a given area, developing a comprehensive plan or strategy that becomes the standard for waste management practices is imperative. Waste professionals deem Indoneeds to be more accurate, reliable, and unreliable in terms of amount and composition. These findings have significance for the appropriate planning and decision-making processes in dealing with waste problems at the national, provincial, and city/regency levels. The waste issue in Bogor Regency has once again garnered attention following the inability to transfer 2,400 tons of waste. The escalating nature of this scenario is becoming more worrisome due to the projected rise in trash generation by 2023. This study aims to assess and appraise the operations of a waste bank by implementing novel advancements at the Green Cikeas waste bank, which serves as a trailblazing waste bank in Cigales Village. Efficient administration of digital innovation systems can enhance waste management activities, thereby contributing to community satisfaction. This innovation has the potential to become a standard for digitalization since it introduces a digital innovation system management idea that can be used in any location and significantly enhance job efficiency. One of the primary objectives of managing digital innovation systems is to attain efficiency and optimization in various areas, such as the management procedures of the bank. This study also considers other viewpoints, encompassing management, human resources, economics, social, and environmental dimensions.

#1402 CCG-level coding for chronic kidney disease and regional kidney replacement therapy incidence: an ecological study in England

Abstract Background and Aims With ageing of the population both prevalence of chronic kidney disease (CKD) and incidence of kidney replacement therapy (KRT) are rising. Existing research suggests that adding a formal diagnosis-code for CKD to the health record in those affected is associated with better implementation of recommended care and fewer hospitalisations for cardiovascular diseases. Furthermore, reliable estimates of the future need of KRT cannot be extrapolated from previous years after the COVID-19 pandemic. This ecological study investigates whether coding for CKD is associated with KRT incidence at clinical commissioning group (CCG) level in England. Method KRT incidence rates for CCGs in England were calculated using UK Renal Registry (UKRR) data from 01/2019 to 12/2021. Data on the percentage of uncoded CKD patients (PUCP) who had laboratory evidence of CKD but lacked a diagnostic code were obtained from the Cardiovascular Disease Prevention Audit (CVDPREVENT), a national primary care audit that extracts routinely held general practitioner (GP) data. The PUCP was modelled both as a continuous and a categorical variable using quintiles with an equally large population in each quintile to investigate potential non-linear associations. Data on potential confounders and acute kidney injury (AKI) mortality as a marker for underlying population frailty were obtained from CVDPREVENT and the UKRR, respectively. A hierarchical conceptual framework was used to assess the association between the PUCP and KRT incidence, in which covariates were grouped into sociodemographic, healthcare quality and health status covariates. Poisson models assessed the association between PUCP and KRT incidence and effect modification by AKI mortality was investigated using a simplified model for which AKI mortality was recoded to a binary variable. Results The crude overall KRT incidence rate was 141.30/1 000 000, ranging from 84.54 to 204.05/1 000 000 in the different CCGs (Fig. 1A). The mean PUCP was 15.47% (SD 5.55), ranging from 3.68% to 30.28%, with no immediately identifiable association with KRT incidence (Fig. 1B). Univariable Poisson regression showed no evidence of an association between the crude PUCP as a continuous measure and KRT incidence (p = 0.886). However, when included as a categorical variable, there was strong evidence (p < 0.001) for a difference in the crude KRT incidence rates, indicating a non-linear association. After adjusting for all covariates, there was evidence for an association between the PUCP as a continuous measure and KRT incidence (RR 1.004, 95% CI 1.000-1.008, p = 0.029). However, the PUCP was also considered as a categorical variable and there was still evidence of a difference in rates (p = 0.030) with the CCGs in the lowest PUCP quintile having a lower KRT incidence than the others. Considering the PUCP as a continuous variable, there was some evidence (p = 0.033) for effect modification: in CCGs with low AKI mortality, there was no evidence of an association between the PUCP and KRT incidence (RR 1.001, 95% CI 0.996-1.005, p = 0.823), whereas a 7% increase in KRT incidence for every 10% increase in uncoded CKD patients was found in CCGs with high AKI mortality (RR 1.007, 95% CI 1.003-1.012, p = 0.024) (Fig. 2A). Considering the PUCP as a categorical variable, there was very strong evidence (p < 0.001) for effect modification by AKI mortality: In CCGs with low AKI mortality, there was no evidence that rates were different in higher quintiles of the PUCP compared to the lowest. However, in CCGs with high AKI mortality, KRT incidence rates from the second up to the fifth quintile of the PUCP were between 10.3% and 18.5% higher than in the first quintile (Fig. 2B). Conclusion At a geographical level in England, the data suggest that the prevalence of not having formally diagnosed CKD is non-linearly associated with a higher KRT incidence rate, especially in areas with a high AKI mortality. The PUCP can be seen as a proxy for care quality. Therefore, improved care quality might be associated with lower KRT incidence rates. After the COVID-19 pandemic, PUCP follow-up data may be the first way to estimate future KRT needs and support the planning process.

A Five-Step Framework for Creating Forests for the Future

Changing environmental conditions, disturbances, and escalating demands for forest ecosystem services require foresters to restore present forestlands with new forest generations that will exhibit ecological integrity, diversity, high adaptive capacity, and the ability to provide essential ecosystem services. Establishing such forests requires careful consideration of the forest landscape and site dynamics. In pursuit of these requirements, we developed a novel framework that enables the restoration of forest sites and promotes the desired features of the forest complex at the same time. This framework was designed with the methods of system engineering and was organized in the same way as the forest planning process. It was tested in the habitat type of Illyrian Fagus sylvatica forests belonging to the Natura 2000 network. The environmental, vegetation, and site conditions were investigated via field inspections, available forest management plans, and simple GIS analyses. Additionally, we established a seminatural stand composed of European beech, sessile oak, sycamore maple, silver fir, and some wild fruit tree species. The survival of planted species was assessed using census and simple random sampling, the performance of provenances by the Student’s test, while microhabitat factors were explored by a one-way ANOVA. The survival rate of key species was estimated to be 55.6%, while that of fruit species was estimated to be 94.5%. Our framework demonstrated satisfactory performance and contained sufficient benchmarks to facilitate consistent decision-making. In the discussion, we elucidate the framework’s primary features and attributes of the mixed stand, where we also expose some open issues to be addressed in the future.

Exploring strategic multi-leveraging of sport tourism events: An action-research study

Strategic planning of sport events should promote the maximisation of local communities' benefits. Among other dimensions of interest to the host destination's stakeholders, given the aim of sustainable development, sport events leveraging must integrate economic, social and environmental perspectives, justifying its multidimensional extensiveness. The general objective of this study was to stimulate and understand the process of planning and implementing strategic multi-leverage of international open water swimming events hosted in Portugal, in 2022, addressing the economic, social, environmental, partners and sport dimensions.This study employed a case study approach within an action-research methodology. The research design covered three action-research stages: planning, implementation and analysis. The data collection combined nominal group sessions, field observation, document analysis and interviews. The qualitative analysis used the triangulation of the data collected, and the content analysis was performed using the NVivo software.Actions were strategically planned targeting economic, social, environmental, partners, and sport dimensions, albeit with a prominent focus on economic and sport leverage. Excluding sport, the implementation of strategic actions ensured all dimensions' operationalisation. Six constraints (e.g. little adherence from local partners) and three drivers (e.g. commitment and authority of the leverage coordinating team) conditioned the strategic leverage implementation. The strategic planning of future sport events should outline actions that intensify the destination’s image, focusing the attention of stakeholders on valuing the natural attributes. This study strengthened knowledge about the multi-leverage approach applied to two sport events, reinforcing the need to implement cross-leveraging among the aforementioned dimensions to enhance the success of strategic leverage.

Motion Planning for the Robotic Fiber Positioners of the Large Sky Area Multiobject Fiber Spectrocopy Telescope

The Large Sky Area Multi-Object Fiber Spectroscopy Telescope (LAMOST) is one of the most effective multiobject spectroscopic instruments. Its survey efficiency is guaranteed by simultaneously positioning multiple fibers via 4000 robotic fiber positioners (RFPs). With the further updates to LAMOST, the new-generation RFPs will be smaller, and the number of RFPs will increase to 5000. The RFPs are densely packed with shared working space. Thus, they may collide with each other, leading to them damaged and reducing the survey speed. In this study, we propose a new motion planning algorithm that prevents the collision of RFPs. To simplify the collision avoidance problem, we transform the motion planning process from a dynamic one into a static one by selecting one of the RFPs in each collision pair as the waiting robot. Accordingly, we design a method for choosing the waiting robot, and use a rapidly exploring random tree to plan a collision-free path for the waiting robot. However, there may be blocks between the waiting robots and their neighbors. Therefore, we also design methods to resolve these blocks. Simulations suggest that the proposed algorithm can prevent 98.4% of the collisions. About 99.9% of the positioners can reach their targets without collisions. Although developed for LAMOST, we believe that our algorithm can also be used for other instruments with equal-arm theta-phi positioners, such as the Dark Energy Spectroscopic Instrument.

Reactive Gait Composition With Stability: Dynamic Walking Amidst Static and Moving Obstacles

Abstract This paper presents a modular approach to motion planning with provable stability guarantees for robots that move through changing environments via periodic locomotion behaviors. We focus on dynamic walkers as a paradigm for such systems, although the tools developed in this paper can be used to support general compositional approaches to robot motion planning with dynamic movement primitives (DMPs). By formulating the planning process as a switching system with multiple equilibria (SSME), we prove that the system's evolution remains within explicitly characterized trapping regions in the state space under suitable constraints on the frequency of switching among the DMPs. These conditions encapsulate the low-level stability limitations in a form that can be easily communicated to the planner. Furthermore, we show how the available primitives can be safely composed online in a receding horizon manner to enable the robot to react to moving obstacles. The proposed framework can be applied in a wide class of 3D bipedal walking models, and offers a modular approach for integrating readily available low-level locomotion control and high-level planning methods.

A Two-Layer SD-ANN-CA Model Framework for Multi-Typed Land Use and Land Cover Change Prediction under Constraints: Case Study of Ya’an City Area, Western China

Land use and land cover change (LUCC) prediction of cities in Western China requires higher accuracy in quantitative demand and spatial layout because of complex challenges in balancing relationships between urban constructions and ecological developments. Considering city-level areas and various types of land use and land cover, existing LUCC models without constraint or with only loose demand constraints were impractical in providing evidence of high accuracy and high-resolution predictions in areas facing fierce land competition. In this study, we proposed a two-layer SD-ANN-CA model to simulate and explore the LUCC trend and layout predictions for 2018, 2028, and 2038 in Ya’an City, Western China. The two-layer structure with an upper layer of the SD model and a lower layer of the ANN-CA model, as well as the advantages of all three methods of system dynamics (SD), artificial neural network (ANN), and cellular automata (CA), have allowed us to consider the macro-level demand constraints, meso-level driving factors constraints, and the micro-level spatial constraints into a unified model framework. The simulation results of the year 2018 have shown significant improvement in the accuracy of the ANN-CA model constructed in our earlier work, especially in types of forest land (error-accuracy: 0.08%), grassland (error-accuracy: 0.23%), and construction land (error-accuracy: 0.18%). The layout predictions of all six types of land use in 2028 and 2038 are then carried out to provide visual evidence support, which may improve the efficiency of planning and policy-making processes. Our work may also provide insights into new ways to combine quantitative methods into spatial methods in constructing city-level or even regional-level LUCC models with high resolution.

Are West Africa's policy, planning, and regulatory frameworks missing the harmonization piece of the power pooling-renewable energy puzzle?

Sound policy, planning and quality regulation are cornerstones to co-creating national markets conducive to the implementation of an efficient regional electricity market. This study examines the policy, planning and regulatory substance and processes in the West African Power Pool, focusing on four countries, namely Burkina Faso, Côte d’Ivoire, Ghana, and Mali. Through its specialized institutions, the region seeks to leverage shared resources and complementarities to scale up sustainable electricity generation and enhance cross-border electricity trade. The study, however, reveals half-hearted renewable energy (RE) policies, weak RE investment planning and inconsistent regulation on the one hand, and on the other hand, a lack of harmonization of regulatory frameworks which are often misaligned with the regional vision. This translates into missed opportunities to attract the necessary investments in sustainable power infrastructure, particularly from the private sector, and to mutually develop a regional market capable of tackling the long-standing challenge of access to reliable and affordable electricity amid the climate crisis. This can be reversed if countries are fully committed and duly equipped to improve their policies and planning processes, and adjust and harmonize their regulatory frameworks under the guidance, support, and leadership of the regional entities.

A Systemic Approach to the Product Life Cycle for the Product Development Process in Agriculture

For a long time, a company’s Product Development Process (PDP) was seen as supporting the operations department, although PDP decisions and mistakes have a considerable impact on market performance. This is critical even in agriculture where bad habits and practices in the PDP can lead rural producers to great losses. Therefore, this research investigates the effect of the PDP on the market performance of rural products (bananas) in the southern region of Brazil, based on two analyses: (i) how sustainability practices support the PDP phases and (ii) how the phases of the Product Life Cycle Assessment (LCA) mediate sustainability practices and PDP phases. This study presents a quantitative analysis using Confirmatory Factor Analysis (CFA) and hierarchical ordinary least squares (OLS) regression of data obtained from a survey of 110 rural producers who directly participate in the banana production and planning process in southern Brazil. Our results show that sustainability practices support the PDP, and we confirm that the product development and post-development phase has an effect on market performance. In addition, we identify that in the pre-development phase of the PDP, dealing with rural products (bananas), the maturity stage of the LCA mediates sustainability. In the PDP development phase, we conclude that rural families who develop economic and environmental practices with their products, which are in the market growth phase may have reduced results. As for the post-development phase of the PDP, we conclude that when companies invest in environmental and social practices, there is a complete mediation of the effect, where these practices lose strength if the product is in the introductory and maturity phases in the market. In an original matter, our study contributes to demonstrating the value of the product life cycle for the Product Development Process in agriculture using sustainability practices through a systemic approach, filling the gap in the literature due to a lack of integrated research on these areas seen.

НАРИСИ ІСТОРІЇ МІСТОБУДУВАННЯ В УКРАЇНІ І СВІТІ

Introduction. The article examines the nutritional dynamics and peculiarities of the development of the environment in Ukraine, which requires an integrated approach to address the challenges and problems of this problem. The foldability and rich profile of this galus poses system requirements that require support and legislative security at the edge. Also, we are talking about developing a strategy for the development of local development, which is based on the idea of ensuring harmony between the economic, social and environmental development of the place. The main essence lies in the creation of such a local environment that would satisfy the needs of the current generation, without reducing the ability of future generations to take control of their lives. It is important that the main aspects of the development of strategies for the development of local development include, first of all, economic stability, so that they are aimed directly at creating minds for economic growth and development, ensuring the stability of financial, economic and investment processes in localities. Social inclusion plays an important role, and development strategies are aimed at ensuring accessibility and equal access to infrastructure, housing, lighting, health care and other social services for all levels of the population. Problem statement. Urban planning is a complex, multi-level and multi-disciplinary process that has a systemic nature. The main task of urban planning is to create such a material environment in which human needs should be satisfied as best as possible. In contrast to previous years, the urban planning process has been streamlined and has become more integrated into public production. The specificity of this type involves a whole series of competencies affecting many fields of knowledge. Urban planning activity involves planning, development of territories, careful development and implementation of urban planning documentation regarding both the expansion of cities and the construction of new ones. At the same time, many questions arise regarding architectural solutions, harmonious placement of buildings in the surrounding landscape. The process of urban planning always heralds socio-economic development: infrastructure and architectural projects implemented within the framework of urban planning can contribute to economic growth, attracting investment and creating jobs, while the process of social integration is underway, creating conditions for communication and interaction between different social and cultural groups .