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Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
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Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
2. This information is meant for educational purposes only. Any
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This is work in progress and subject to change. Void where
prohibited. Some assembly required. List each check separately by
assignment.
Batteries not included. Contents may settle during shipment. Use
only as directed. COUNT YOUR CHANGE. No other warranty
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This is not an offer to sell securities.
3. 7.1 Berekening
▸ Gegevens
4 machines
16 uur per dag
5 dagen per week
▸ Available time =
aantal machines * uren per dag * aantal dagen
4*16*5
320
4. 7.5 Berekening
▸ Gegevens
3 machines
8 uur per dag
5 dagen per week
Utilisatie = 80%
Efficiency = 120
▸ Rated capacity = available time (AT) * utilisatie * efficiency
3*8*5 * 0,75 * 1,2
108
8. 7 CASUS WESCOTT
1. Nature of problems?
2. Rough cut capacity, links to problems
3. New complete plan
9. 7 CASUS WESCOTT - NATURE OF PROBLEMS
1. What is the bottleneck?
2. What is quality of forecast?
3. Do we have overloading and why?
4. How is sales manager rewarded?
5. How do we quote new order (timeframe)?
6. Do we have enough materials?
7. Do we have high enough utilization?
8. Do we have master schedule?
9. What about lot sizes? What impact?
10. Balance lot site /setup time?
11. What are limitations of the production facility?
12. What ending inventories?
13. Strategic capacity planning (growth in sales)?
11. 7 CASUS WESCOTT SOLUTION?
1. MPS 10 weeks
2. Forecast (FC), Customer order (CO)
3. PAB
4. ATP
Projected Available Balance (PAB) blz. 114
= prior PAB + MPS – max (FC,CO) (no fence?)
Available to promise (ATP) blz. 112
▸ 1: Onhand – customer orders until next MPS
▸ 2-10 MPS – customer orders until next MPS
17. OBERVATIONS
▸ Total time: 2 workers 5 days 8 hours + 4*8 overtime = 5280 min
▸ Calculate lot time for A-E
A: 645 min
B: 550 min
C: 576 min
D: 3140 min
E: 4600 min
Total 9511 min
WEEK 1: ONLY A-D = 4911, 70 E orders not made
WEEK 2: E + 57 D, again order delay!!
Etc.... Complete Workout next week???
18. 7 CASUS WESCOTT FINAL RESULTS
1. Questions
1.What will in practice not be true?
2.What is future?
3.Do we have flexibility?
4.Is ATP usefull?
19. 8.9 MLT BEFORE/AFTER OVERLAP
Work centre 10 50+200*5 1050
Transit Time 30
Work centre 20 100 + 200*7 1500
2580 ~ 43 uur
After overlap (only lot 1 for center 10)
Work centre 10 50+75*5 425
Transit Time 30
Work centre 20 100 + 200*7 1500
32.25
Before overlap
Save= 10.25
20. 8.15 COMPLETE IN/OUTPUT REPORT
Period 1 2 3 4 5 6
Planned input 78 78 78 78 78 390
Actual input 82 80 74 82 80 403
Cum. var 4 6 2 6 13
Period 1 2 3 4 5 6
Period
Planned output 80 80 80 80 80 400
Actual output 87 83 74 80 84 406
Cum. var 7 10 -4 4 8
Period 1 2 3 4 5 6
Planned backlog 45 43 41 39 37 35
Actual backlog 45 42 34 34 36 37
21. 8.15 COMPLETE IN/OUTPUT REPORT
Period 1 2 3 4 5 6
Planned input 78 78 78 78 78 390
Actual input 82 80 74 82 80 403
Cum. var 4 6 2 6 13
Period 1 2 3 4 5 6
Period
Planned output 80 80 80 80 80 400
Actual output 85 83 74 80 84 406
Cum. var 7 10 -4 4 8
Period 1 2 3 4 5 6
Planned backlog 45 43 41 39 37 35
Actual backlog 45 42 34
24. WELDON: HOW MANY PEOPLE?
▸ Aannames
werknemer werk 35 uur per week, 48 weken per jaar
4 kwartalen van 12 weken
per kwartaal 12*35* 60 = 25.200 min
cyclus tijd Q1 = 25.200 / 98 K = 0,257
één product kost 1,6 std.min
dus aantal mensen nodig = 1,6 /0,257 = 6,2 mensen
Dus het wordt 6 of 7 mensen?
Idem einde 2e jaar
25.200 / 230.000 = 0,11 min
Aantal; mensen 1,6 / 0,11 = 14,55 (14 of 15 man)
25. Casus Weldon hand tools
1.1 1.2 1.3 1.4 2.1 2.2 2.3 2.4 T
FC 98 140 140 170 140 170 200 230 1288
Wrk 7 9 9 11 9 11 12 14
Max.prd 110250
Over
12250 1750 1750 3250 1750 3250 4750 6250 35000
Kan dit efficiënter?
27. Casus Weldon hand tools
A: Long-Thin voor
▸ Snel eenvoudige taak leren
▸ Automatisering
▸ Lagere utilisatie dan 1 std.min
▸ Tooling niet voor elke
medewerker
A: Long-Thin tegen
▸ Saai werk
▸ Verlies door balancing
▸ 1 stop -> line stop
▸ Inflexibel
B: short-fat
Geen allocatie verlies
Robuust
Flexibel
B: short-fat tegen
Werktijd langer dan 1 std.min
Tools iedere werker
logistiek
28. Casus Apix – 1 key issues & sympoms
Issues:
• 80% nauwkeurige voorraad
• Gelijkmatige productie A?
• Lot sizing
• MRP werkt alleen als data ok
Symtoms
• Planning niet goed
• Pieken in deelproducten?
• Onderdelen vraag springerig
36. 40
0
35
0
30
0
25
0
20
0
15
0
10
0
50
40
0
35
0
Traditional view of inventory-related costs
30
0
25
0
20
0
15
0
10
0
50
Order quantity
Costs
Economic
order
quantity
(EOQ)
Total
costs
Holding
costs
Order
costs
36
37. Economic Order Quantity – EOQ
EOQ =
2퐶표퐷
퐶ℎ
want:
Co = order cost per bestelling. Dus per jaar zijn de kosten:
aantal bestellingen x Co , Het aantal bestellingen per jaar =
D (totale inkoop)/EOQ(order grootte per bestelling). Dus totale
Ordering costs = CoD/EOQ
Ch = Holding kosten per stuk =
inkoopprijs per stuk x jaarpercentage waaruit voorraadkosten
bestaan. Gemiddelde voorraad is de halve bestelhoeveelheid, dus
totale Holding Costs = Ch x EOQ/2
37
38. Economic Order Quantity – EOQ -
continued
EOQ =
2퐶표퐷
퐶ℎ
want:
EOQ is optimale balans tussen voorraad (holding) kosten en bestel
(order) kosten. Op dat punt geldt:
Total Ordering costs = Total Holding costs, dus
CoxD/EOQ = Ch x EOQ/2
Afgeleid:
CoxD = Ch x (EOQ)2/2 (beide kanten met EOQ vermenigvuldigd)
(EOQ)2 = (CoxD)/(Ch /2) (EOQ2 naar links gebracht, rest rechts van =teken)
(EOQ)2 = (2CoxD)/(Ch) (noemer uit noemer wordt bij teller gezet)
EOQ = √(2CoxD/Ch) (wortel van rechterkant om de EOQ te krijgen) 38
40. 6.13
Item A B C D E F G H J
Low Level
Code
3 3 3
Item A B C D E F G H J
Low Level
Code
3 1 2 2 2 3 3
Item A B C D E F G H J
Low Level
Code
0 0 3 1 2 2 2 3 3
47. RANDY SMITH - OBSERVATIES
• Wat zijn A,B,C?
• 1236 duur, cyclisch
• 1241 goedkoop, leverbetrouwbaarheid
• 1235 goedkoop, andere plaats
• 1246 kwaliteitsprobleem
• 1253 kwaliteitsprobleem
48. 10.1
month 1 2 3 4
Dem 255 219 231
Fc 235
month 1 2 3 4 5
Dem 255 219 231 228
Fc 235 226
EOQ formule gaat er van uit dat de voorraad tot 0 kan dalen. Elke bestelling komt er EOQ bij (ideale voorraadkosten). Gemiddeld is de voorraad dan tussen de 0 en de EOQ, wat versimpeld kan worden naar de helft van de EOQ.