This document discusses facility capacity planning and measurement. It provides an overview of what facility capacity planning is, why it is important, and different types of capacity. It then discusses key measures for evaluating facility capacity planning such as capacity utilization, throughput time, resource availability, quality metrics, and cost metrics. The document concludes by outlining some ways to increase effective facility capacity, such as automating processes, improving equipment utilization, streamlining processes, training employees, and improving supply chain management.
SOLVED SMU MBA ASSIGNMENTS AVAILABLE....Naveen Kumar
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Production Planning and Control (Operations Management)Manu Alias
A presentation on operations management. The contents are, Production management and control - Meaning, Definition, functions, Objectives, Stages, Importance and limitations; Master Production Schedule (MPS) - Meaning, Objectives and fuctions.
Boost Equipment Performance, Save Money With Proactive MaintenanceJames Fitzgerald
Proactive, timely maintenance of plant equipment is critical to enabling manufacturers to meet a dizzying number of demands, from pressure to achieve target output levels, minimize labor costs, control parts spending and ensure maximum uptime. Manufacturers rely on their maintenance departments to help achieve these goals on a daily basis. However, a great number of manufacturers still use maintenance on a reactive basis rather than viewing it as strategic to operations. Myrtle Consulting helps manufacturers convert maintenance into a proactive, scheduled operation that is used strategically to control costs, maximize uptime, and maintain critical equipment. By following a few fundamental principles, plants can begin to establish a maintenance improvement program that supports operations and improves plant performance.
Production System optimization: Case Study of a Local Textile Companyjournal ijrtem
ABSTRACT : The manufacturing sector in Botswana has been rapidly growing in recent times. Glam Collections used as a case study organization in this research, is an SME textile manufacturing company with its base of operations in Gaborone, Botswana. The company manufactures a wide range of products in-house and supply to the local market. The company has been growing in terms of scale of production in recent times and this has necessitated it to obtain a larger base of operations which requires an overhauling of their current processes and operations. Hence this research main objective is to demonstrate how Muther’s Systematic Layout (SLP) has been effectively used for departmental layout evaluation and facility design. Lean manufacturing tools were employed in the research together with the SLP technique in order to map and analyze the business processes before the systematic layout could be carried out so as to remove waste in the current process flows and standardize the company operations.
SOLVED SMU MBA ASSIGNMENTS AVAILABLE....Naveen Kumar
Remaining Answers are available in Paid Assignments……..
Contact us for complete assignments…..
NAVEEN KUMAR: 09958511016 /09971164259
E-MAIL: naveenk31@yahoo.co.in / smuassignments2014@gmail.com
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ALL OF OUR ASSIGNMENTS ARE IN WORD FORMAT AND AS PER NEW GUIDELINES OF SMU………
Production Planning and Control (Operations Management)Manu Alias
A presentation on operations management. The contents are, Production management and control - Meaning, Definition, functions, Objectives, Stages, Importance and limitations; Master Production Schedule (MPS) - Meaning, Objectives and fuctions.
Boost Equipment Performance, Save Money With Proactive MaintenanceJames Fitzgerald
Proactive, timely maintenance of plant equipment is critical to enabling manufacturers to meet a dizzying number of demands, from pressure to achieve target output levels, minimize labor costs, control parts spending and ensure maximum uptime. Manufacturers rely on their maintenance departments to help achieve these goals on a daily basis. However, a great number of manufacturers still use maintenance on a reactive basis rather than viewing it as strategic to operations. Myrtle Consulting helps manufacturers convert maintenance into a proactive, scheduled operation that is used strategically to control costs, maximize uptime, and maintain critical equipment. By following a few fundamental principles, plants can begin to establish a maintenance improvement program that supports operations and improves plant performance.
Production System optimization: Case Study of a Local Textile Companyjournal ijrtem
ABSTRACT : The manufacturing sector in Botswana has been rapidly growing in recent times. Glam Collections used as a case study organization in this research, is an SME textile manufacturing company with its base of operations in Gaborone, Botswana. The company manufactures a wide range of products in-house and supply to the local market. The company has been growing in terms of scale of production in recent times and this has necessitated it to obtain a larger base of operations which requires an overhauling of their current processes and operations. Hence this research main objective is to demonstrate how Muther’s Systematic Layout (SLP) has been effectively used for departmental layout evaluation and facility design. Lean manufacturing tools were employed in the research together with the SLP technique in order to map and analyze the business processes before the systematic layout could be carried out so as to remove waste in the current process flows and standardize the company operations.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
2. Facility Capacity Planning
In capacity planning, a facility refers to the physical location where the production or service
delivery takes place. It could be a manufacturing plant, a warehouse, a data center, or a hospital,
among others.
Facilities play a crucial role in capacity planning because they are the primary determinants of how
much output a business can produce or how many customers it can serve at a given time.
A well-designed facility can maximize the use of resources, reduce bottlenecks, and increase
efficiency, while a poorly designed facility can hinder productivity and limit growth.
3. Needs of facility capacity planning
Facility capacity planning is an essential process for any organization that wants to ensure that it has the
resources to meet customer demand while maintaining efficiency and profitability. Here are some reasons
why facility capacity planning is important:
1. Optimize resource utilization: -Capacity planning helps organizations to determine the optimal
amount of resources needed to meet customer demand. By understanding their resource requirements,
organizations can ensure that they are using their resources effectively and efficiently.
2. Anticipate future demand: -Capacity planning allows organizations to forecast future demand and
adjust their production or service delivery accordingly. This helps organizations avoid overproduction or
underproduction, which can lead to waste or lost business opportunities.
3. Improve customer satisfaction: -When organizations have the capacity to meet customer demand
promptly, they are better able to provide high-quality customer service, which can lead to increased
customer satisfaction.
4. 4. Increase efficiency: By optimizing their facility capacity, organizations can reduce the risk of
bottlenecks and other inefficiencies in their production or service delivery processes. This can result
in increased productivity, reduced costs, and improved profitability.
5. Plan for growth: Capacity planning can help organizations plan for future growth by
identifying when and how much additional capacity will be needed. This can help organizations
make informed decisions about investments in new facilities, equipment, or resources.
5. Types of capacity
A)Design Capacity represents maximum rate of output that can be achieved under ideal conditions.
b) Effective Capacity is maximum rate of output which can be practically achieved under constraints
of time consumed in set-up, oiling & cleaning, defective items, etc. Effective capacity is always
lesser than design capacity.
c) Actual Capacity is the maximum output rate which is actually achieved under constraints of
machine breakdowns, labor in efficiencies & absenteeism, defective products, late deliveries of
materials by supplier, and so on. Actual capacity can be equal to or less than the effective capacity.
6. Measures of Performance
Efficiency = Actual Output / Effective Capacity
Capacity Utilization = Actual Output / Design Capacity
Design capacity is constant.
7. There are several measures of performance that can
be used to evaluate the success of facility capacity
planning.
1. Capacity utilization: Capacity utilization measures the degree to which a facility's resources are being used.
It is calculated by dividing actual output by maximum output capacity. Higher capacity utilization indicates
that the facility is being used efficiently and effectively.
2. Throughput time: Throughput time measures the time it takes to complete a process, from start to finish.
Lower throughput times indicate that processes are being completed more quickly, which can improve
efficiency and productivity.
3. Resource availability: Resource availability measures the availability of resources, such as labor and
equipment, to support production or service delivery. Higher resource availability indicates that the facility
is well-equipped to meet customer demand.
8. 4. Quality metrics: Quality metrics, such as defect rates or customer satisfaction scores, can be used to
evaluate the quality of the products or services being produced. Higher quality indicates that the facility is
meeting customer needs and expectations.
5. Cost metrics: Cost metrics, such as cost per unit or cost per customer, can be used to evaluate the cost-
effectiveness of the facility's operations. Lower costs indicate that the facility is operating efficiently and cost-
effectively
9. Ways of Increasing Effective Capacity
1. Automate processes: Automation can increase the speed and efficiency of production processes,
allowing for increased output with fewer resources. Automation can also improve quality by
reducing human error.
2. Improve equipment utilization: By optimizing the use of equipment, organizations can increase their
output without adding new equipment or facilities. This can be done by scheduling maintenance
and downtime more efficiently, reducing setup times, and increasing the speed of equipment.
3. Streamline processes: By analyzing processes and identifying areas of waste and inefficiency,
organizations can streamline their operations to reduce the time and resources required to produce
goods or services. This can be done by eliminating unnecessary steps, improving communication
between departments, and simplifying workflows.
10. 4. Train and develop employees: Investing in employee training and development can improve their
skills and knowledge, which can lead to increased efficiency and productivity. By empowering
employees to take ownership of their work and providing them with the tools and resources they need,
organizations can increase their output without adding new resources.
5. Improve supply chain management: By optimizing their supply chain, organizations can reduce lead
times and increase the reliability of their suppliers, allowing for more efficient production and
delivery of goods or services.
11. Example
Each kit contains meat, cheese, bread, and juice, so a complex BOM is needed to make each one easier to
produce. This would include the various food varieties as well as the arrangement and wrapping of trays.
Additionally, it's possible that these facilities would produce some kit components internally while sourcing
others through subcontracting.
Due to the complexity of the finished product and the ever-changing nature of the foods offered, accurate
BOMs, precise calculations of the labor and machine capacity, and quick and frequent changeovers are
necessary. Capacity Requirements Planning (CRP), which uses MRP inputs and inventory to produce a
capacity plan, is an option for businesses with MRP systems in place.
This kind of operation could also use the rough-cut planning method known as Capacity Planning Using Overall
Factors, which creates a capacity plan by using production standards and the master schedule. To create
precise and useful capacity plans, MTS production facilities would need to fully utilize all the steps that are
necessary.
12. A factory that manufactures opulent limousines would serve as an illustration of this kind of
manufacturing. The factors for each finished unit would need to be added up in order to create a
capacity plan because each finished unit is a unique iteration (repetition of a process).
The definition of a workload and the documentation of equipment capabilities would be crucial
factors for an ETO.
Although standards cannot be established for generic products because each limousine is unique,
an accurate understanding of welder capacity, paint booth dwell time, and other crucial processes
along the line may be more crucial to an ETO than other steps in calculating capacity.