Future Production Research Articles

Social risk assessment of the transition from internal combustion engine vehicles to electric vehicles: Material supply chains in China, Japan, and South Korea

In order to reduce carbon emissions, the production of internal combustion engine vehicles (ICEVs) is being transitioned to the production of electric vehicles (EVs). However, the social unsustainability of this process needs further testing. This study explored the social risk characteristics of the transition from ICEVs to EVs based on the Social Hotspots Database (SHDB), combining with the Social Life Cycle Assessment (SLCA) and the Marginal Analysis Method (MAM). Here, we revealed the differences in social risks in the material supply chains between China, Japan, and South Korea, which may create incentives for 100 % supply concentration in a hypothetical game. In terms of social risk, common substitution trends in the iron‑aluminum sector and synergy patterns in the copper-rubber sector were observed in the three countries. As a key factor influencing social risks, cost factor may change, and cost changes due to transition were mainly influenced by production adjustments and sourcing differences, reflecting differences in production capacity trends. This study makes it possible to consider ICEVs and EVs as two endpoints for transition activity in a SLCA exercise and provides valuable insights focusing on transition, aiding in material selection for future product design and underscoring the importance of proactive consideration of social sustainability indices.

Quantifying Residual Soil Moisture through Empirical Orthogonal Functions Analysis to Support Legume-Based Cropping Systems

AbstractThis study investigates spatiotemporal variability of residual soil moisture during the OND (October-November-December) season in Ethiopia and its implications for crop productivity. Employing advanced statistical techniques, we analyze spatial and temporal distribution of soil moisture across Ethiopia from 1981 to 2020, focusing on selected crops including legumes: chickpea, field peas, common bean, soybean and alfalfa, to assess the potential of residual moisture to support post-rainy season cropping. Results indicate pronounced east-west moisture gradients, with eastern regions of Ethiopia exhibiting lower moisture levels (< 60 kg.m-2) compared to western regions (> 150 kg.m-2). The central highlands, which are pivotal for agricultural activities, demonstrate significant variability in moisture (standard deviations > 25 kg.m-2), with implications on agricultural sustainability. The northern and southeastern tips of the country are particularly vulnerable to prolonged drought, where climate change and frequent dry spells exacerbate moisture deficits, consequently impacting crop productivity. Despite these challenges, promising opportunities for future crop production emerge in the southeastern region, which is characterized by increasing moisture trend over time ($$\:\tau\:=0.59$$). Findings further indicate that residual moisture adequately meets and supports crop water requirements in the western, central, and southwestern Ethiopia. In these regions, residual moisture supports more than 90% of cropland water requirements of various crops during the initial and late-season growth stages, whereas water requirement coverage drops to less than 20% during the mid-season growth stage. Therefore, by utilizing residual soil moisture alongside supplemental irrigation, Ethiopian farmers can meet crop water needs for double cropping and enhance resilience to climate variability.

Solid–Liquid Phase Equilibria of the Aqueous Quaternary System Rb+, Cs+, Mg2+//SO42− - H2O at T = 323.2 K

Sulfate-type salt lakes constitute over half of the total salt lakes in China and are rich in rare elements, such as rubidium and cesium. However, the complex interactions between ions make the separation and extraction process quite challenging. To address this, phase equilibrium studies were conducted on the sulfate system containing rubidium, cesium, and magnesium. Specifically, the phase equilibria of the aqueous quaternary system Rb+, Cs+, Mg2+//SO42− - H2O at 323.2 K were investigated using the isothermal dissolution method. The solubility, density, and refractive index of the system were experimentally measured. The results indicate that the system at 323.2 K belongs to a complex type with the formation of one solid solution (Rb, Cs)2SO4 and two double salts (Rb2SO4·MgSO4·6H2O, Cs2SO4·MgSO4·6H2O). The corresponding phase diagram consists of four quaternary invariant points, nine univariate curves, and six crystallization regions. Among these, the crystalline region for Cs2SO4·MgSO4·6H2O is the largest, while that for the single salt Cs2SO4 is the smallest. Moreover, the crystalline regions for the double salt and solid solutions are significantly larger than those for the single salt, highlighting the difficulty in separation of valuable single salts. A comparison of multi-temperature phase diagrams from 298.2 K to 323.2 K reveals that the crystalline form of MgSO4 changes from MgSO4·7H2O (298.2 K) to MgSO4·6H2O (323.2 K). As the temperature increases, the phase regions for Rb2SO4, Cs2SO4, (Rb, Cs)2SO4, and Cs2SO4·MgSO4·6H2O expand, while the phase region of Rb2SO4·MgSO4·6H2O contracts, indicating that the single salts (Rb2SO4, Cs2SO4) are more readily precipitated at higher temperature, which provides theoretical guidance for the future production and separation of Rb, Cs, and Mg from sulfate-type salt lakes.

Exploring the Visual Communication of Illustration Narrative in Brand Promotion Through the Symbolic Meaning of Thorn Elements

Abstract: In todays market, the use of visual representations is increasingly prevalent, with illustrations becoming a key promotion tool. Due to their ability to deliver immediate and powerful impact on viewers, illustrations are now a top choice for companies in advertising. Various styles and techniques of illustration have evolved, enriching the artistic language of advertising; different combinations of elements can evoke diverse reactions and interpretations among audiences. This paper aims to establish a framework for the use of illustration in advertising by analyzing a specific element and its symbolic meanings. It begins with a discussion of the fundamentals of symbolism in illustrations, followed by a detailed analysis of thorn as an artistic concept. The paper concludes by demonstrating how these strategies can be applied in market, offering guidance for future product design and promotions.

The genetic diversity and population structure of wild and cultivated Avena species in Ethiopia using a SSR markers

Oats are grains that can be consumed by both animals and humans. They have thrived in Ethiopia, where certain oat species are considered native to the region. This work represents the first investigation of the population structure and genetic diversity of Ethiopian and other country oats. This led the scientists to explore the genetic diversity and population structure of wild and cultivated Ethiopian oats (Avena) species as well as oat cultivated in USA, the Netherlands and Austria. This study's main objective looks to be to investigate the variation in genetic makeup of cultivated and wild oat species. Studying the population structure of the oat species in the germplasm of Ethiopia, USA, the Netherlands and Austria. We used nineteen fluorescent SSR (simple sequence repeat) markers since previous research had indicated that these markers had high PIC (polymorphism information content) values. Five species of Avena were studied among the 176 oat accessions: A. sativa (cultivated oats) and four wild oats, such as A. abyssinica, A. vaviloviana, A. fatua, and A. sterilis. The AMOVA investigation revealed significant genetic distinctions among populations, individuals, and within individuals, explaining 18 % of the variance within populations, 4 % among populations, and 78 % within individuals. The AMOVA analysis of Avena species demonstrated extensive variance, with 33 % variation among species and 67 % within each species, underscoring robust species differentiation. The study also discovered gene interchange between wild oat and cultivated populations, defining two Avena species: domesticated oats and wild oats. Using the STRUCTURE software at K = 2, PCoA, and UPGMA, a distinct genetic structure was displayed in the dataset. Despite variations in ploidy levels and genomes, A. sterilis and A. vaviloviana were determined to be more closely linked, whereas A. abyssinica and A. fatua demonstrated a close association. This research delivers valuable insights for scientists and can be employed in oat breeding programs to improve future oat yield and productivity.

An integrated prototyping tool to enhance interdisciplinary communication in smart product design

The increasing integration of smart products into society is noteworthy in the field of Prospective Ergonomics (PE), as they herald the emergence of novel products featuring yet-to-be-discovered interaction modalities. Literature highlights a lack of front-end prototyping approaches that transcend disciplinary skills and aid communication across diverse design fields, highly relevant in early-stage smart product development. This paper introduces an integrated, low-fidelity prototyping tool to enhance interdisciplinary communication and understanding of future products’ interactive and environmental qualities. A survey provides preliminary validation of the integrated tool’s format and content. Findings endorse the tool’s structure and flexibility in supporting understanding and communication of interactive and environmental qualities of smart product concepts across a range of design disciplines. As such we advance the discourse on PE by envisioning a low-fidelity prototyping tool to create intermediary objects supporting design efforts towards future products and their new and emerging interaction modalities.

Near-surface particulate backscattering observations with bio-optical Lagrangian drifters

Abstract Particulate matter concentration is an essential ocean variable (EOV) useful for understanding biogeochemical processes, improving ocean productivity estimates, and constraining coupled physical and biogeochemical numerical models. While direct observations of this parameter are difficult to obtain, the optical backscattering coefficient of marine particles (bbp) can be used as a reliable proxy. However, most in-situ multi-spectral bbp measurements are ship-borne or obtained from moored systems, thus with a limited spatial and temporal coverage. Utilizing Surface Velocity Programme (SVP) drifting buoys with self-contained backscatter sensors designed for extended deployment periods offers a promising solution for collecting data in challenging marine environments. In this study, we presented for the first time the integration of a commercially available, high-frequency and multispectral optical backscatter sensor into an SVP drifter, the so-called BO-SVP drifter designed to collect bbp measurements near the ocean surface. bbp measurements obtained by the BO-SVP drifter were reliable over a wide range of environmental conditions, showing a good agreement with independent datasets (relative bias < 10%; relative standard deviation < 36%). The BO-SVP drifter captures the satellite sub- and pixel scale variability by combining the Lagrangian approach and a high frequency sampling. This configuration enables the acquisition of measurements across numerous pixels in a single day, enhancing validation activities for ongoing and future satellite products and the quantification of associated uncertainties. The measurements acquired by these platforms can offer valuable insights into particle distribution at fine spatial scales, daily variability, and its relationship with water masses type and ocean dynamics.

Climate Change Impact on Photovoltaic Production From the Perspective of Climate Models: a Systematic Review

Objective: This study investigates how the researchers approached the theme the climate change impacts on photovoltaic production (PVP) from the perspective of simulations using climate models. Methodology: A comprehensive literature review was conducted to establish correlations between future PV production and climate change susceptibility on regional and global scales. Keywords related to the theme were used in the Web of Science database. Inclusion criteria selected only complete, free, English scientific articles related to the research theme, published between 1965 and 2023. Results and analysis: As a result, it generated a sample consisted of 58 articles on the impact of climate change on photovoltaic production, with 14 included in the final quantitative synthesis. A wide range of results was presented, stemming from both climate change models and models assessing the influence of weather-related factors on PV production. Patterns in the impacts of climate change on photovoltaic production were observed, and the main climate models used to estimate PVP were recognized, grouped, and discussed. Key databases, commonly used simulation periods, and equations linking meteorological variables to PVP were identified and examined. Conclusion: Numerous publications have emerged on the impacts of climate change on PVP, focusing on empirical equations that relate meteorological variables, cell temperature, and cell efficiency. Most studies adopted a forecast period until the end of the 21st century. The majority of the studies focused on Europe and Asia, with little research on impacts of climate changes on PVP in South and Central America.

Research on Electric Vehicle Powertrain Systems Based on Digital Twin Technology

As a critical component of electric vehicles, the powertrain has a significant impact on the overall performance of vehicles. In addressing the challenge of lengthy testing cycles, this study develops a para model of the powertrain, utilizing digital twin (DT) technology, thereby establishing a framework for simulation testing of multi-controller intermodulation. We establish functional definition coverage testing by designing specific functional requirement use cases, and we validate the failure mechanism via fault injection use cases. The results indicate that the DT testing platform can effectively simulate the operational interactions among various controllers within the powertrain system. In comparison to traditional field testing, the digital twin-based testing methodology offers enhanced operational efficiency and allows for the examination of testing conditions that are impractical to implement in real vehicles, particularly in the context of fault injection testing, thus facilitating the early detection of potential safety risks within the system. The advancement of this technical solution holds significant practical implications for the future mass production and development of electric vehicles.

Farmers’ willingness to introduce short-rotation tree plantations on agricultural land: A case study in southern Sweden

To meet climate targets, expanding Populus spp. tree cultivation is proposed as a potential biomass feedstock, especially on agricultural land that does not come into conflict with food production. However, biomass potential assessments typically overlook landowners' perspectives, risking a gap between theoretical potentials and realisation. Here, we test empirical consequences of two hypotheses based on a survey targeting southern Swedish farmers: 1) Relying exclusively on agricultural land cover data to identify abandoned agricultural land leads to an overestimation of the total agricultural land that can be utilised for future biomass production from Populus spp. feedstocks. 2) The absence of data on farmers' intentions to cultivate fast-growing tree species on agricultural land leads to overestimation of the potential biomass supply from Populus spp. in biomass assessments. Findings suggest that less than 50 % of farmers with unsubsidised arable land, which is often assumed to be abandoned, would consider cultivating these tree species on this type of land (26 % [7–48]). Furthermore, only 11 % [6–17] would consider cultivating Populus spp. on agricultural land overall during 2021–2030, indicating a generally low level of interest among farmers. However, higher rates were observed in forested areas. The projected near-future cultivation potential of 2.0 kha [1.1–3.0] suggests an at least threefold overestimation in previous theoretical assessments. This study highlights a disparity between biophysical land data and producer perspectives, showing that neglecting farmers’ perspectives risks overestimating the biomass supply, potentially leading to misguided expectations and inefficient policies. Our findings support targeted policy recommendations.

Design and Mechanical Validation of Commercially Viable, Personalized Passive Prosthetic Feet

Abstract Current high-performance prosthetic feet work well for many users, but the low resolution of size and stiffness categories may limit walking performance for certain users. A line of prosthetic feet with a high resolution of sizes and stiffnesses, designed through amputee-specific personalization, could provide clinical and economic value. The lower leg trajectory error (LLTE) design framework facilitates the design of high-performance, amputee-specific prosthetic feet; however, previous foot prototypes were not designed to satisfy the economic, mechanical, and aesthetic requirements for commercial adoption. The aims of this work were to understand how a personalized, affordable prosthetic foot can align with the clinical-commercial ecosystem, innovate a viable future product, and inform other prosthesis designers of considerations required to connect innovation to real-world implementation. We evaluated needs by identifying how products, capital, and services flow between stakeholders, and we elucidated design requirements for a personalized prosthetic foot that can be manufactured, distributed, and clinically provided. Based on material properties and manufacturing process capabilities, computer numerically controlled (CNC) machining of Nylon 6/6 satisfies these requirements. We present a novel parametric foot architecture that can be CNC machined, fits within a commercial foot shell, and can be designed for individual users’ body characteristics and activity levels. Prototypes made using the new foot design behaved as anticipated (1–12% error in modeled displacement), satisfied industry-standard strength (ISO 10328) and mechanical performance (AOPA dynamic heel/keel) requirements, and elicited positive feedback from both amputees and prosthetists.

Divided Attention Has Limited Effects on Speech Sensorimotor Control.

When vowel formants are externally perturbed, speakers change their production to oppose that perturbation both during the ongoing production (compensation) and in future productions (adaptation). To date, attempts to explain the large variability across individuals in these responses have focused on trait-based characteristics such as auditory acuity, but evidence from other motor domains suggests that attention may modulate the motor response to sensory perturbations. Here, we test the extent to which divided attention impacts sensorimotor control for supralaryngeal articulation. Neurobiologically healthy speakers were exposed to random (Experiment 1) or consistent (Experiment 2) real-time auditory perturbation of vowel formants to measure online compensation and trial-to-trial adaptation, respectively. In both experiments, participants completed two conditions: one with a simultaneous visual distractor task to divide attention and one without this secondary task. Divided visual attention slightly reduced online compensation, but only starting > 300 ms after vowel onset, well beyond the typical duration of vowels in speech. Divided attention had no effect on adaptation. The results from both experiments suggest that the use of sensory feedback in typical speech motor control is a largely automatic process unaffected by divided visual attention, suggesting that the source of cross-speaker variability in response to formant perturbations likely lies within the speech production system rather than in higher-level cognitive processes. Methodologically, these results suggest that compensation for formant perturbations should be measured prior to 300 ms after vowel onset to avoid any potential impact of attention or other higher-order cognitive factors.

Research On the Impact of Pop Music In 2000s Films: Shaping Youth Culture Through Soundtracks

This research delves into the profound impact of pop music on youth-oriented films of the 2000s, examining aspects such as cultural representation, emotional connection, and financial gains. The introduction underscores the critical importance of this topic in understanding how media shapes youth culture and influences societal perceptions. By focusing on iconic films like "High School Musical" and "Mean Girls," the study illustrates how pop music is used to enrich narratives and captivate audiences, making it an integral part of the storytelling process. The analysis reveals several key issues, including cultural homogenization, the reinforcement of stereotypes, and the prioritization of commercialization over artistic integrity. These challenges highlight the need for a more thoughtful integration of music in films to avoid superficial portrayals and promote authenticity. To address these issues, the research recommends expanding the range of musical themes to reflect diverse cultures and experiences, breaking away from stereotypes to foster more nuanced character portrayals, and balancing commercial objectives with creative expression in future film productions. The conclusion emphasizes the significance of this research in guiding media practices toward greater cultural diversity in youth-oriented entertainment. By adopting these recommendations, filmmakers can create richer, more diverse content that resonates emotionally with audiences while also contributing positively to the cultural landscape.

Identifying shader sub-patterns for GPU performance tuning and architecture design

GPUs are increasingly playing vital roles in the modern technology industry. Improving the GPU performance involves optimizing its architectural design and fine-tuning its software code. However, to achieve this, engineers must investigate codes from as many GPU-related applications as possible to identify code portions that need fine-tuning. Moreover, this effort requires engineers to have good domain knowledge, and their work is made more arduous because the source codes of applications are normally confidential. To this end, we introduce ShaderAnalyzer, a solution leveraging graph mining and machine learning to analyze GPU-executed low-level machine codes and identify their fine-tuning opportunities. Our approach includes representing machine code with graph structure and subsequently identifying frequently occurring substructures within the codes. Optimizing the execution of these substructures can enhance the overall performance of the GPU. In addition, our model leverages these frequent patterns to further facilitate engineers’ tasks by selecting representative patterns to predict and investigate low-efficiency ones. We conduct comprehensive experiments to evaluate the performance of our solution, and the results have been validated by our industry partners. ShaderAnalyzer is an end-to-end framework that helps engineers identify code segments with the highest potential for performance gains after fine-tuning and offers valuable insights for hardware architects in future products design.

The Protective Effect against Lung Injury of Phytosome Containing the Extract of Purple Waxy Corn Tassel in an Animal Model of PM2.5-Induced Lung Inflammation.

Lung inflammation caused by fine particulate matter (PM), particularly PM2.5, poses a significant public health challenge, with oxidative stress and inflammation playing central roles in its pathophysiology. This study evaluates the protective effects of phytosome-encapsulated extract of purple waxy corn tassel (PPT) against PM2.5-induced lung inflammation. Male Wistar rats received PPT at doses of 100, 200, and 400 mg/kg BW for 21 days prior to exposure and continued to receive the same doses for 27 days during PM2.5 exposure. Significant reductions in inflammatory markers, including cyclooxygenase-2 (COX-II), various interleukins (IL-1β, IL-6, IL-8), tumor necrosis factor-alpha (TNF-α), and nuclear factor kappa B (NF-κB), were observed, indicating that PPT effectively regulates the inflammatory response. Additionally, PPT improved oxidative stress markers by reducing malondialdehyde (MDA) levels and enhancing antioxidant enzyme activities such as superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GSH-Px), thereby restoring lung antioxidant defenses. Notably, the study revealed that PPT modulates epigenetic mechanisms, as evidenced by decreased histone deacetylase (HDAC) activity and upregulation of sirtuins in lung tissue. These epigenetic modifications likely contribute to the reduction in inflammation and oxidative stress, suggesting a multifaceted protective role of PPT that involves both direct biochemical pathways and epigenetic regulation. The interplay between reduced inflammatory signaling, enhanced antioxidant capacity, and epigenetic modulation underscores PPT's potential as a therapeutic agent for managing respiratory inflammation-related diseases and its promise for the development of future functional food products.

Advanced photovoltaic technology can reduce land requirements and climate impact on energy generation

Future changes in solar radiation and rising temperatures will likely reduce global solar photovoltaic potential, but advancing photovoltaic technologies could counteract these effects. We investigate the potential of photovoltaic to satisfy energy demands given climate change and technological development. We find that conventional photovoltaic will require 0.5 to 1.2% of global land area to meet projected energy demands by 2085 without accounting for climate change effects. When considering climate impacts, this requirement increases to 0.7–1.5% of the global land area. However, utilising advanced photovoltaic technologies can reduce this area to 0.3–1.2%, effectively mitigating climate impacts. Regional climate change impacts vary substantially, resulting in photovoltaic potential decreases of up to 3% in Latin America and the Caribbean, and by up to 8% in South Asia. Our results suggest that technology-driven increases in future global photovoltaic energy production can more than compensate for the climate related reductions.

Comparative analysis of thermoelectric properties in bulk 2H and monolayer MoS2: a first-principles study at high temperatures

The pursuit of high-efficiency heat-to-electricity conversion is one of the indispensable driving forces toward future renewable energy production. The two-dimensional (2D) transition metal dichalcogenide, such as molybdenum disulfide (MoS2), is at the forefront of research due to its outstanding heat propagation features and potential applications as a thermoelectric material. Using the first-principles density functional theory coupled with the semi-classical Boltzmann transport equation within the constant relaxation time approximation, we present the thermoelectric and energy transport in the bulk 2H and monolayer MoS2 material system. In order to advance the underlying physics, we calculate several crucial transport parameters such as electrical conductivity, electronic thermal conductivity, Seebeck coefficient, and power factor as a function of the reduced chemical potential for different doping types and temperatures, in addition to the electron energy dispersion relation of the material system. Our comprehensive study employs the Shankland interpolation algorithm and the rigid band approximation to attain a high degree of accuracy. This thorough investigation reveals the high Seebeck coefficient of 1534 and 1550 μ V/K at 500 K for the bulk 2H and monolayer MoS2, respectively. Furthermore, the ultrahigh power factor values of 9.21 × 1011 and 3.69 × 1011 Wm −1 K −2 s −1 are shown at 800 K in the bulk 2H and monolayer MoS2, respectively. Based on the power factor results, our in-depth analysis demonstrates that the bulk 2H MoS2, when compared to monolayer MoS2, exhibits great potential as a promising semiconducting thermoelectric material for advanced high-performance energy device applications.

Analysis of Antioxidants from Three Parts of Polygonum Chinense Based on Online Extraction High Performance Liquid Chromatography Antioxidant Analysis System.

In the current study, a rapid online extraction combined with high-performance liquid chromatography (HPLC) antioxidant analysis approach was developed to explore the antioxidant ingredients in three different parts of Polygonum Chinense. A total of 22 chromatographic peaks were found, among which 8 components were found for the first time. And among these 22 peaks, 19 of them were demonstrated as antioxidants. Furthermo, all three parts from Polygonum Chinense exhibited antioxidant activity (13.19, 3.89, and 19.85 mg CE/g extract, for the leaf, stem, and flower, respectively) and the antioxidant activity values of the leaf and flower were more than 3 times that of the stem. The leaf, flower, and stem of Polygonum Chinense had 17, 13, and 15 antioxidant components, respectively. Among them, neochlorogenic acid (2) and quercetin-3-O-malonylglucoside (18) were considered as the main antioxidants in the leaf of Polygonum Chinense. In terms of flower, geraniin (10) and quercetin-3-O-malonylglucoside (18) were proved as the major antioxidants. This is the first report on the antioxidant components from different parts of Polygonum Chinense. It provides foundational scientific data for the continued exploration of chemical and pharmacological study of Polygonum Chinense, beneficial for the future product development and quality evaluation improvement of Polygonum Chinense.

The production of climate security futures in the West African Sahel

Abstract Much has been written and said about the consequences of climate change on security in the West African Sahel. Sceptics argue that claims about the links between global warming and conflict dynamics rest on limited evidence and questionable assumptions. Others work on the institutionalization and operationalization of climate security. This implementation seems inevitable, if slow, difficult, and at times vague, as there is simply no consensus on what climate security implies in practice and what it is meant to achieve. What is climate security, and whose climate security are we talking about? This article analyses climate security as a structure of knowledge and a set of epistemic relationships that inform practices and relationships. It draws on participant observations of a Dakar-based research group that travelled to Bamako, Ouagadougou, and Niamey. At the intersection of research, policy, and programme implementation, this case study provides a unique look into the emergence of climate security relations and practices. The findings point to the rising structural force of climate security and how it can overcome both research uncertainties and sensitive diplomatic relations. The article shows that there is more to climate security than the focus on the conflict-climate nexus lets on.

PULPO: A framework for efficient integration of life cycle inventory models into life cycle product optimization

AbstractThis work presents the PULPO (Python‐based user‐defined lifecycle product optimization) framework, developed to efficiently integrate life cycle inventory (LCI) models into life cycle product optimization. Life cycle optimization (LCO), which has found interest in both the process systems engineering and life cycle assessment (LCA) communities, leverages LCA data to go beyond simple assessments of a limited number of alternatives and identify the best possible product systems configuration subject to a manifold of choices, constraints, and objectives. However, typically, aggregated inventories are used to build the optimization problems. Contrary to existing frameworks, PULPO integrates whole LCI databases and user inventories as a backbone for the optimization problem, considering economy‐wide feedback loops between fore‐ and background systems that would otherwise be omitted. The open‐source implementation combines functions from Brightway2 for the manipulation of inventory data and pyomo for the formulation and solution of the optimization problem. The advantages of this approach are demonstrated in a case study focusing on the design of optimal future global green methanol production systems from captured CO2 and electrolytic H2. It is shown that the approach can be used to assess sector‐coupling with multi‐functional processes and prospective background databases that would otherwise be impractical to approach from a standalone LCA perspective. The use of PULPO is particularly appealing when evaluating large‐scale decisions that have a strong impact on socioeconomic systems, resulting in changes in the technosphere on which the background system is based and which is often assumed constant in standard LCO approaches regardless of the decisions taken. This article met the requirements for a gold‐gold JIE data openness badge described at http://jie.click/badges.