🌍 Mapping Water Balance (P - PET) Across Pakistan Using Google Earth Engine + Python 🇵🇰 Accurate assessment of water availability is critical for managing agriculture, drought resilience, and hydrological planning—especially in climate-vulnerable regions like Pakistan. Using Google Earth Engine and Python (geemap), I calculated monthly water balance (Precipitation minus Potential Evapotranspiration) for 2020 using: ✅ CHIRPS Daily Precipitation ✅ MODIS MOD16A2 Evapotranspiration ✅ Resampling, masking, and spatial harmonization 🔧 Tools Used: Google Earth Engine (GEE) Python + Geemap Remote sensing (CHIRPS & MODIS) 🎯 Key Insight: This workflow highlights regions with water deficits or surpluses—helping stakeholders visualize climate stress, optimize irrigation, or assess drought risk. 📊 Applications: Climate vulnerability mapping Drought early warning systems Sustainable water resource management 👨💻 Youtube video link: https://lnkd.in/d9atj8Pd #GoogleEarthEngine #Python #RemoteSensing #ClimateChange #Hydrology #WaterResources #Geospatial #MODIS #CHIRPS #EnvironmentalEngineering #SustainableDevelopment #GEE #geemap
Resource Availability Analysis
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Summary
Resource-availability-analysis is the process of assessing whether the necessary resources—such as materials, equipment, water, or staff—are on hand to meet the needs of a project, production plan, or maintenance schedule. This analysis helps organizations plan, schedule, and adjust activities to avoid delays or bottlenecks and is used widely in industries ranging from manufacturing to environmental management.
- Review current supply: Regularly check the status of materials, staff, or equipment to ensure you can meet upcoming project or maintenance needs without interruption.
- Balance workloads: Use planning tools or software to spread assignments evenly and prevent resources from being overloaded or sitting idle.
- Adapt schedules: Be ready to change plans or group tasks based on resource availability, so your team can keep up with changing demands or unexpected shortages.
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Capacity Planning and Leveling in SAP: Explained with Scenario and Tcodes Capacity planning and leveling are critical functions in production and process industries, enabling businesses to optimize resources, meet deadlines, and minimize waste. Let's break this down with a real-life scenario and relevant SAP Tcodes. --- Scenario: Efficient Production Planning in a Chemical Plant Imagine a chemical plant that produces multiple products using shared machinery and resources. The production manager faces challenges like: Overloaded resources during peak demand. Underutilized resources in off-peak periods. The need to group similar production orders to minimize setup time. Solution: Use SAP's capacity planning and leveling tools to optimize the use of plant resources. Step-by-Step Process with Tcodes 🔍 1. Analyze Capacity Availability Task: Check the available capacity for resources (machines, labor). Tcode: CM01 – Capacity Planning: Work Center View. Outcome: View capacity loads and identify bottlenecks. 🗂️ 2. Plan Production Campaigns Task: Group similar process orders to create uninterrupted production campaigns. Tcode: MD04 – Stock/Requirements List (to review material requirements). Outcome: Optimize campaigns based on material and resource availability. 📅 3. Schedule Process Orders Task: Schedule operations using forward or backward scheduling. Tcode: COR1 – Create Process Order. Outcome: Calculate start and finish dates for all operations. 📊 4. Perform Capacity Leveling Task: Adjust schedules to avoid overloads or underutilization. Tcodes: CM21 – Capacity Leveling: Planning Table (Tabular View). CM25 – Capacity Leveling: Planning Table (Graphical View). Outcome: Balance workloads using drag-and-drop in the graphical planning table. 🔄 5. Monitor and Adjust in Real-Time Task: Update plans dynamically as requirements change. Tcode: CO02 – Change Process Order. Outcome: Adapt to real-time production challenges. Key Benefits ✅ Optimized Resource Utilization: Avoid underloads/overloads. ✅ Improved Efficiency: Minimize setup and idle times. ✅ On-Time Delivery: Meet production deadlines effectively. Icons in Action 🏭: Represents the chemical plant. 🛠️: Work center (resource) in CM01. 📈: Graphical planning table in CM25. 🔄: Real-time adjustments in CO02. #CapacityPlanning #SAPPP #ProcessOptimization #SAPTcodes #ProductionEfficiency
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How to Check Material Availability in SAP Plant Maintenance (PM) In any maintenance planning process, confirming the availability of materials is a crucial step to ensure that scheduled work proceeds without delays. In SAP Plant Maintenance, there’s a straightforward way to check material availability within a maintenance order. Here’s a detailed step-by-step guide: 1. Access the Maintenance Order: First, open the maintenance order that requires materials. In the screenshot above, we’re working with the order for “Preventive Maintenance of OTP.” You can use the transaction code IW32 or manually navigate to the relevant order. 2. Open the Order Menu: Once the maintenance order is open, navigate to the top bar menu and select Order. This menu contains various functions related to processing and managing orders. 3. Navigate to the Availability Check: From the Order menu, select Functions > Availability. You’ll notice several sub-options under this menu that help manage resources. 4. Check Stock Material: To check whether the required materials are available, choose Check Stock Material. You can also use the shortcut Ctrl + F9 to access this directly. This step will generate a list showing the current stock status of all materials linked to the order. 5. Review Material Availability: The availability list will display all materials required for the maintenance order, including quantities on hand and potential shortages. Planners must confirm this step before releasing the order for execution. You may need to adjust your schedule or trigger a procurement process if materials are missing. Regularly checking material availability can avoid common pitfalls, such as delays due to missing components, and ensure smooth operations across all maintenance activities. #SAPPM #PlantMaintenance #MaterialAvailability #MaintenancePlanning #OperationalExcellence
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Application of Reliability, Availability and Maintainability Simulation to process industries. The attached chapter ( part of valued book "Simulation Methods of Reliability and Availability of Complex Systems ") demonstrates the application of RAM analysis to process industries by providing a case study of a natural-gas processing plant. The approach employed in the chapter can be used to compare maintenance strategies, evaluate equipment performance, decide on appropriate spare inventory levels, plan for manpower requirements, prepare for turnarounds and evaluate their effectiveness, predict production, and obtain assistance in budgeting. The approach can also play an important role in the expansion of existing plants and in the design of new plants. #maintenance #reliability #availability #management
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🔔 Critical Path Method. Resource Loop Problem 🔔 The Critical Path Method (CPM) has pitfalls rarely explained in project management books. Knowing them and applying the method correctly or even using an alternative approach essential for successful delivery. The ultimate base for CPM calculation is an accurate estimation of activity durations. However, such an estimation may not be possible due to the Resource Loop problem: A: To calculate the critical path, the duration of each activity must be accurately estimated; B : To estimate durations accurately the availability of resources has to be known; C: To understand the resource availability the critical path has to be calculated; or A (Critical Path) driven by B (Activity durations) B (Activity durations) driven by C (Resource availability) C (Resource availability) driven by A (Critical Path) 💢 Volume-based Resource Critical Path An approach that addresses the resource loop problem is the Volume-based Resource Critical Path Method (RCPM). Instead of estimating activity in the duration units, Volume of Work (VoW) is used as a primary measure. VoW could be mesured in physical (m, m2, items) or virtual (effort hours, points) units. VoW drives resource demand. Resource demand and supply drive Resource Critical Path. Resource Critical Path drives activity durations. So, Activity durations depend on: - Volume of Work (Volume units) - Assignment of required skillset (demand) - Productivity (units per hour) of available resources (supply) Heuristic scheduling methods could be applied to calculate activity durations and the order of activities, considering resource availability. 💢 Points to consider 📌The Volume of Work can be measured in meters in cubic meters, tons, story points, work hours, percentages, pages, or other units. Unites is an informative data point only. The calculation method is the same regardless of the applied volume. 📌 Project materials constraints (consumable resources) may also impact activity durations. If relevant, material supply and demand must also be added to relevant activities and included in the calculation. 📌 As an exception, a project may have activities that are not dependent on resource availability. The duration of these activities can be estimated directly in hours. 💢 Summary The Critical Path Method requires accurate estimations. However, when resources are limited, accurate estimation is difficult as the estimators need to consider parallel activities. It creates the Resource Loop problem. Volume-based Resource Critical Path is an alternative approach that addresses the Resource Loop problem. #Planningandschduling #PredAptivePM #CPM #Waterfall #P6 #MSProject #Spiderproject #PMI #projectengineer #riskmanagment
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🔍 ERCOT's December 2024 CDR: Key Takeaways on Resource Adequacy The latest Capacity, Demand, and Reserves (CDR) report from ERCOT provides a December 2024 snapshot of expected resource availability, peak load, and peak net load. While it signals trends in resource adequacy, various market, policy, and technological factors will shape long-term outcomes. 📉 Declining Reserve Margins: Summer 2026: Peak Net Load margins turn negative. Summer 2027: Peak Load margins turn negative. Winter 2027/28: Both Peak Load and Peak Net Load margins turn negative. ⚡ Key Drivers of Declining Margins: 1️⃣ High Load Growth: Largely from new loads reported by Transmission Service Providers. 2️⃣ Switch to Effective Load Carrying Capability (ELCC): Lower wind/solar capacity contribution in risk hours. 3️⃣ Stricter Resource Inclusion Criteria: Fewer planned projects meeting eligibility. 4️⃣ Planned Retirements: Unconfirmed retirements affecting capacity forecasts. 🔋 Impact of Large Loads & Demand Flexibility With increasing large flexible loads (e.g., data centers, crypto mining), there is growing discussion on demand flexibility requirements to improve grid reliability. If implemented, this could positively impact reserve margins. As grid conditions evolve, these trends highlight the urgent need for strategic planning, flexibility, and investment in reliable capacity. 💡 What are your thoughts on these trends? Let's discuss in the comments!