This document discusses production planning and factors that affect demand and production planning. It provides an example showing material quantities over time, including material in, processed, wasted, leftover, and available. Plant facilities production process, maintenance, and supply chain management impact production yields and performance. Finished goods demand seasonality and market factors are also important to consider in production and demand planning. The document emphasizes understanding the full production process cycle and related operational areas.
Presentation on challenges and opportunitues of industrial engineer in rmg in...HasanRabbi3
This presentation about Challenges and Opportunities of Industrial Engineering in RMG Sector. In this presentation we discuss about Industrial Engineering. This presentation give you a clear idea what Industrial Engineering doing their daily activities responsibilities and Challenges and opportunities. Actually this presentation help all over Textile Students, Apparel Students and Industrial Engineering Students. I hope Its makes a positive Impact on Industrial Engineering Students.
Presentation on challenges and opportunitues of industrial engineer in rmg in...HasanRabbi3
This presentation about Challenges and Opportunities of Industrial Engineering in RMG Sector. In this presentation we discuss about Industrial Engineering. This presentation give you a clear idea what Industrial Engineering doing their daily activities responsibilities and Challenges and opportunities. Actually this presentation help all over Textile Students, Apparel Students and Industrial Engineering Students. I hope Its makes a positive Impact on Industrial Engineering Students.
Product Vs Service
Concept of Production
Scope of POM
Transformation Process
Product Design & Product Process
History of POM
Issues in POM
Product Design / Process
By Mrs Sudha A Mujumdar, Founder Member & Hon Secretary, Quality Circle Forum of India, Ankleshwar Chapter presented at Gujarat State Center The Institution of Engineers, Ahmedabad on 12th Feb 2016
Modelling Production Performance of Small Scale Production PlantIJAEMSJORNAL
This paper is about development of a model to evaluate capacity utilization (CU) of small scale production plants. The model employed short term production function with key independent variables of: plant operators, capital, R&D, energy and machinery maintenance expenditure. CU of small scale plant is the output and dependent variable for this study. The developed model is tested on a small scalewater production plant. The output results show that the average CU is 74% for six months of operations. The model test results revealed that all the inputs are positively correlated (R>0.893) to CU, with major inputs are significantly contributing to CU. About 80% (R2=0.797) of the inputs are consumed to achieve CU of production process. The model estimated value was found to be close to actual recorded outputs (<2% difference). The model is found to be statistically significant at 95% confidence level with p-value less than 0.05. The developed model is useful for small scale plants in evaluating the production performance to achieve technical and economical sustainability. For further research in this topic, this study suggests building a model to optimize the contribution of inputs to CU of small scale production plants.
IMPROVING OSH & PRODUCTIVITY OF RMG INDUSTRIES BY IMPLEMENTING LEAN TOOLS AN...Karina Islam
The garment industry has played a pioneering role in the development of industrial sector of Bangladesh. The RMG sector is expected to grow despite the global financial crisis of 2009.As China is finding it challenging to make textile and foot wear items at cheap price, due to rising labor costs, many foreign investors, are coming to Bangladesh to take advantage of the low labor cost. Though Bangladesh produces garment with lowest cost but poor productivity. To survive and prosper in today's economic times, companies can no longer manage using financial measures alone, they have to track non-financial measures also such as customer satisfaction, brand preference, speed of response, employee satisfaction etc.Productivity can improve by applying lean tools like- 5s, JIT, Muda, Root Cause analysis, KPIs, VSM. For improving the ultimate productivity OHS of RMG sector of Bangladesh should be improved. In Ready Made Garments (RMG) sector of Bangladesh, the employees represent an organization's biggest and its most valuable asset. The company's productivity, and ultimately, its profitability depend on making sure all of its workers perform up to their full potential. This paper summarizes that how KPIs analysis improve productivity and OHS of RMG sectors. Appropriate indicators are first selected for KPI scoring then simulate the scores with the help of Adaptive Network-based Fuzzy Inference System (ANFIS) and finally illustrated how KPIs impacts on overall productivity.
Product Vs Service
Concept of Production
Scope of POM
Transformation Process
Product Design & Product Process
History of POM
Issues in POM
Product Design / Process
By Mrs Sudha A Mujumdar, Founder Member & Hon Secretary, Quality Circle Forum of India, Ankleshwar Chapter presented at Gujarat State Center The Institution of Engineers, Ahmedabad on 12th Feb 2016
Modelling Production Performance of Small Scale Production PlantIJAEMSJORNAL
This paper is about development of a model to evaluate capacity utilization (CU) of small scale production plants. The model employed short term production function with key independent variables of: plant operators, capital, R&D, energy and machinery maintenance expenditure. CU of small scale plant is the output and dependent variable for this study. The developed model is tested on a small scalewater production plant. The output results show that the average CU is 74% for six months of operations. The model test results revealed that all the inputs are positively correlated (R>0.893) to CU, with major inputs are significantly contributing to CU. About 80% (R2=0.797) of the inputs are consumed to achieve CU of production process. The model estimated value was found to be close to actual recorded outputs (<2% difference). The model is found to be statistically significant at 95% confidence level with p-value less than 0.05. The developed model is useful for small scale plants in evaluating the production performance to achieve technical and economical sustainability. For further research in this topic, this study suggests building a model to optimize the contribution of inputs to CU of small scale production plants.
IMPROVING OSH & PRODUCTIVITY OF RMG INDUSTRIES BY IMPLEMENTING LEAN TOOLS AN...Karina Islam
The garment industry has played a pioneering role in the development of industrial sector of Bangladesh. The RMG sector is expected to grow despite the global financial crisis of 2009.As China is finding it challenging to make textile and foot wear items at cheap price, due to rising labor costs, many foreign investors, are coming to Bangladesh to take advantage of the low labor cost. Though Bangladesh produces garment with lowest cost but poor productivity. To survive and prosper in today's economic times, companies can no longer manage using financial measures alone, they have to track non-financial measures also such as customer satisfaction, brand preference, speed of response, employee satisfaction etc.Productivity can improve by applying lean tools like- 5s, JIT, Muda, Root Cause analysis, KPIs, VSM. For improving the ultimate productivity OHS of RMG sector of Bangladesh should be improved. In Ready Made Garments (RMG) sector of Bangladesh, the employees represent an organization's biggest and its most valuable asset. The company's productivity, and ultimately, its profitability depend on making sure all of its workers perform up to their full potential. This paper summarizes that how KPIs analysis improve productivity and OHS of RMG sectors. Appropriate indicators are first selected for KPI scoring then simulate the scores with the help of Adaptive Network-based Fuzzy Inference System (ANFIS) and finally illustrated how KPIs impacts on overall productivity.
Accompanying presentation for the free SCE Ltd. webinar highlighting a best-practice application of SCOR®, and summarizing the key steps to effectively utilize SCOR® in your company’s supply chain improvement initiatives.
We strongly urge attending the webinar (http://www.scelimited.com/education/free-scor-best-practice-case-study/) in order to get the most out of the presentation.
It is appropriate for anyone who is thinking about using the SCOR® framework, or those who are doing so and want exposure to additional expertise.
Topics covered:
+Principles of SCOR Application
+Metrics, Performance, and the Business Case
+Process and System – Work and Information
+Organizational Learning Plan
+Next Steps
Decision Optimization for ManufacturingOptimiser.com
The Production Planner and Scheduler Optimiser (PPSO) is an integrated scheduling application designed for today’s toughest challenges in manufacturing.
It is part of the Optimiser suite of optimization applications. The Optimiser scheduler balances competing goals like costs and delays while respecting limits on capacity, changeover times, and other challenges that make manual scheduling inefficient.
The PPSO aligns production plans with the corporate strategy. Whether the objective is to produce at the lowest cost, maximize production volume, meet specific customer deadlines, or a combination, PPSO is able to find the plan that does this.
All of this leads to improved profitability and long- term growth of our customers.
Digital machining is set to transform the future of manufacturing, the biggest benefits being a significant increase in optimization of processes and better, more fact-based decision making.
Application of value stream mapping tool to reduce wastes in bearing industryijmech
In today’s highly competitive business environment, companies require improvement in Production Lead
Times, costs and customer service levels to survive. Because of this, companies have become more
customers focused. The result is that companies have been putting in significant effort to improve their
efficiency.
This paper present the practical application of Value Stream Mapping (VSM) tool implement in a bearing
industry. A value stream is an assortment of all actions (value added as well as non-value added) that are
required to bring a product through the essential flows, starting with raw material and ending with the
customer. For drawing current state value stream mapping, all relevant data has been collected and analyzed. Then analysis of current state map has been done for identifying non-value adding activities, in
other words waste and suggestions on how to remove or reduce different wastes. From the results achieved
by current VSM, it was observable that the two processes Annealing and CNC Machining have higher cycle
time and WIP. In order to increase their capacity, their cycle should be reduced.
By implementing some lean principles and changes in the production line, the future state map was created and the reduction the different types of wastes reduced. The total processing time was reduced from 409
seconds to 344 seconds.
Manufacturing Lead Time Reduction in Monoblock (SWJ) Pump Industry [irjet-v4 ...PERUMALSAMY M
Manufacturing lead time is the time required to produce product from its raw materials to final product.A company has to fulfill its customer needs to sustain in this competitive world. Lean has served the manufacturing sector with speed and quality. This project aims at lead time reduction in pump manufacturing company. Value Stream Map(VSM) served as an initiative for identifying bottlenecks process and waste in the manufacturing line; current state map is drawn by the observation made on the shop floor. The takt time is calculated for the demand to find out the bottleneck operations. After identifying the bottleneck operations line balancing is done. The Work In Process (WIP) inventory is reduced by balancing the workstation. Future state map is developed in the perspective of reduction of lead time and to match the takt time with bottleneck process. After line balancing implementation, the lead time for assembly of the SWJ pump is reduced 32 percent and work in process inventory is reduced 25 percent.
Coconut water extraction mass production machineLuis Cabrera
Coconut water extraction mass production machine, design production line for 500,000 coconuts per day, including production lines, factory layout, utilities, CIP, waste water plant
Manufacturing Production Planning AI - ERP systemLuis Cabrera
Artificial Intelligence integrated into an ERP computer system application in Plant Manufacturing Production Planning Process involving Engineering Maintenance, WH & Transport Logistics, Quality Assurance in Real Time decision making
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.
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.
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.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Production Planning Industrial Engineering Management E-Book
1. Industrial Engineering Management Systems Approach to the Enterprise Vision
L | C | LOGISTICS
ENTERPRISE SUPPLY CHAIN MANUFACTURING & COMMERCIAL LOGISTICS OPERATIONS ….
_____ _ PROCESS INNOVATION-OPTIMIZATION & ENGINEERING PROJECTS MANAGEMENT….
Industrial Engineering Management E-Book
INDUSTRIAL ENGINEERING MANAGEMENT FUNDAMENTALS AND HOW IT WORKS
January 2015
Expertise in Process Engineering Optimization Solutions & Industrial Engineering Projects Management
Supply Chain Manufacturing & DC Facilities Logistics Operations Planning Management
Chapter IV PRODUCTION PLANNING
2. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
Demand and Production Planning are directly related, and both affect each
other; when the demand is planned in excess of the production process in
place, or when it is planed short; materials or stocks on hand available will be
in excess or in shortage
Planning inventories both of raw materials and finished goods is complex, as it
depends on the production facility process in place
The ideal facility process should have zero breakdowns and or production
interruptions, which is almost impossible, that is why it is called ideal. Some
people will call it Excellence Operations; another word for ideal, but certainly
impossible to achieve in this century. Perhaps when Factories reach the level of
full automation
3. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
In the example below, it illustrates how over a period of time, there are
different production performances. See material in, material processed,
material left over from production, material wasted, and material available
for the next production cycle or working shift
The difference between material available and material in, is the excess
stocks on hand, or shortage, when the material left over from production is
zero
Notice that the plant facilities production process is the main contributor to
the production yields and performance rates
4. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
This includes all installed production machinery and equipment; the level of
reliability and technical skill of the maintenance engineering team and
technicians; the continuous and prompt response to a maintenance or repair
request, including materials supply, tools and spares required to keep the
machinery and equipment running in continuous operation.
Supply Chain Management plays a major role in the procurement, and can also
be a major bottleneck. Resulting in long production time down and continuous
machinery and equipment breakdowns due to lack of spare parts, and other
tools and equipment required
5. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING Another variable that plays an important role in the demand and production
planning is the finished goods demand seasonality, shipping lead time, market
positioning and competitiveness
That is why it is so important to understand the full production process cycle,
and all its related operational and support areas
See the following example that illustrates the above points
Material
Quantity In
Material qty
difference
Week of
Material
Available
Process
Raw
Material
Finished
Goods
Material
waste
Material
left over
360,187 27,181 23 to 26 July 375,187 348,006 221,457 13,481 13,700
437,888 45,345 28 Jul 02 Aug 451,588 406,243 242,209 45,345 0
556,225 57,919 04 to 09 Aug 556,225 498,306 366,682 57,919 0
402,592 22,278 11 to 16 Aug 402,592 380,314 245,261 22,278 -
713,734 42,870 18 to 23 Aug 713,734 670,864 439,074 12,870 30,000
749,905 51,969 25 to 30 Aug 779,905 727,936 482,416 13,470 38,500
769,297 67,922 01 to 06 Sep 807,797 739,875 492,196 30,922 37,000
747,859 54,334 08 to 13 Sep 784,859 730,525 479,480 29,334 25,000
6. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
Material
Quantity
In
Material qty
difference
Week of
Material
Available
Process
Raw
Material
Finished
Goods
Material
waste
Material
left over
833,945
15,476 15 to 20 Sep
858,945 843,469 551,723 15,476
-
901,647
31,011 22 to 27 Sep
901,647 870,636 643,334 23,012 7,999
925,117
11,126 29 Sep 04 Oct
933,116 921,990 614,936 11,127
-
1,092,540
46,487 06 to 11 Oct
1,092,540 1,046,053 522,584 38,487 8,000
1,080,009
67,698 13 to 18 Oct
1,088,009 1,020,311 770,186 22,698 45,000
882,400
143,449 20 to 25 Oct
927,400 783,951 705,401 80,449 63,000
1,104,100
99,508 27 Oct 01 Nov
1,167,100 1,067,592 533,345 66,508 33,000
1,000,632
48,375 03 to 08 Nov
1,033,632 985,257 492,212 48,375
-
Material
Quantity
In
Material qty
difference
Week of
Material
Available
Process
Raw
Material
Finished
Goods
Material
waste
Material
left over
833,945
15,476 15 to 20 Sep
858,945 843,469 551,723 15,476
-
901,647
31,011 22 to 27 Sep
901,647 870,636 643,334 23,012 7,999
925,117
11,126 29 Sep 04 Oct
933,116 921,990 614,936 11,127
-
1,092,540
46,487 06 to 11 Oct
1,092,540 1,046,053 522,584 38,487 8,000
1,080,009
67,698 13 to 18 Oct
1,088,009 1,020,311 770,186 22,698 45,000
882,400
143,449 20 to 25 Oct
927,400 783,951 705,401 80,449 63,000
1,104,100
99,508 27 Oct 01 Nov
1,167,100 1,067,592 533,345 66,508 33,000
1,000,632
48,375 03 to 08 Nov
1,033,632 985,257 492,212 48,375
-
7. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
When we study the process, we focus on the weighted moving average, weighted
moving standard deviation, weighted moving upper and lower limits, as well as the
weighted moving maximum and minimum value figures. Calculating the weighted
moving process
8. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
The value of the process tell us directly what is the %’s utilization of the total
capacity installed available; which can go between 60% to as high as 90% and
in some very particular installations up to 95%, with and average production
process performance between 76% to 86%
To calculate the plant facility production process performance, you need to
use a digital simulation model, probably in an excel spreadsheet. The will be
the topic for another module of this E-Book
In the meantime, observe the polynomial curve which plot the trend of the
production process performance, and the process range in regards to its
moving upper and lower process limits
9. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
18,298,847
Sum
18,700,246 17,269,509 11,117,062 1,044,340
-
173,604 47,733
std
162,981 145,846 139,897 93,847 15,105
Material
Quantity In
Material
Available
Material
Processed
Finished
Goods
Material
wasted
Material
left over
854,916 157,239
UPL
849,132 716,164 523,983 213,881 17,268
717,209 119,376
Wave
719,852 600,476 413,013 139,439 5,286
579,502 81,513
LL
590,571 484,787 302,043 64,997 -
706,675 120,066
process
714,604 609,189 431,349 152,491 9,690
938,317 181,900
max
938,317 844,322 675,734 300,196 37,000
432,900 60,993
min
469,900 408,907 260,309 56,995 -
Material
Quantity In
Material
Quantity In
Material
Available
Material
Processed
Finished
Goods
Material
wasted
Material
left over
21% process range 21% 19% 18% 21% 40% 78%
11. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
Coming back to the level of stocks on hand or inventory level, observe the
effect of lacking demand and production planning, been reflected in the
available stocks vs. the processed stocks
12. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
You can also see that there is no correlation between wasted or defect
materials and left over and available material. It means that the policy of high
stocks to protect from waste is not related to the actual production or
processing of materials into finished goods
13. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
Another important aspect to consider during your production and demand
planning is the current production process yield, as tis is an indicator on how
the overall plant facilities and materials are doing, to contribute to the final
production of finished goods
In the example below, you can see that the production and target yield moves
continuously and that their trend ratio is not uniform; in fact their correlation
is not a fit one
14. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
In the example below, you can see that the production and target yield moves
continuously and that their trend ratio is not uniform; in fact their correlation is
not a fit one
Sept 2014 Oct-14 Nov-14 Dec-14 Jan-15
Production Yield 0.241 0.236 0.221 0.220 0.200
Target Yield 0.260 0.259 0.252 0.258 0.237
ratio 0.928 0.912 0.876 0.854 0.844
In your analysis, you have to determine the cause of the trend, and understand
the changes happening either within your materials, and or in combination with
your plant facilities process performance, as both will dictate the process yield
or production yield, as well as the production rates.
Both, affecting directly and immediately your demand and production planning
15. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
Below observe the example where materials of various sizes affect your
production rates and yield; and its distribution is an indicator of what you can
expect to achieve with the available materials in different sizes
frequency measurement %
1 32 0.43%
1 36 0.43%
2 38 0.85%
4 39 1.70%
7 40 2.98%
4 41 1.70%
8 42 3.40%
15 43 6.38%
12 44 5.11%
13 45 5.53%
24 46 10.21%
14 47 5.96%
20 48 8.51%
25 49 10.64%
25 59 10.64%
9 51 3.83%
15 52 6.38%
10 53 4.26%
6 54 2.55%
5 55 2.13%
5 56 2.13%
3 57 1.28%
2 59 0.85%
2 60 0.85%
1 61 0.43%
2 62 0.85%
16. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
In our example below you can also see that it is required to monitor the
trend of your production process yield as frequent as possible; perhaps daily
if you have the means and data
Production 200
Jan-15 yield ml
5 207
6 243
7 173
8 199
9 182
10 193
12 198
13 208
14 198
17. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
Below is data regarding the production yield from seven monthsLC
Yield
Plant
Yield
std 18 21
average 219 228
max 236 278
min 152 168
t 1.646 1.646
UL 225 235
LL 213 221
process 211 226
18. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
The next data is a random sampling or “photograph” of
the material size. So that we can use it to extrapolate it
with the current production yield
sample circumference
std 4.38
average 46.99
max 61.00
min 30.00
t 1.646
UL 47.31
LL 46.67
process 46.49
229.83
ml
substance
19. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
Substance circumference
std 2.91
average 46.64
max 57
min 43
t 1.708
UL 47.64
LL 45.64
process 47.76
236.09
ml
water
20. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
sample 502 material
circumference
std 4.38
average 46.99
max 61.00
min 30.00
t 1.646
UL 47.31
LL 46.67
process 46.49
229.83
ml
substance
Production
Yield
LC
Yield
Plant
Yield
std 18 21
average 219 228
max 236 278
min 152 168
t 1.646 1.646
UL 225 235
LL 213 221
process 211 226
Substance left in material
5600 gr
1.024 density
5468.75 ml
502 material
10.89
ml
substance
229.83 ml - 211 ml - 10.890 = 7.94 ml lost in process …… where ????....
LC Yield calculation
Container ml * No of containers production / [material left from yesterday + quantity In –
material left today]
21. Systems Approach to the Enterprise Vision
Chapter IV
PRODUCTION PLANNING
In summary, if you do not have a proper demand and production plan in
place, the high risk of running high in over stocks or go into shortages of
stocks is only the result of lack of planning. The demand planning tools exist
and are available at least since the early 1960’s already over 50 year old;
nothing new or rocket science
Let’s now focus on the production system.
The brain of the entire production system, focus their activities on total
flexibility to pull-in, push-out or cancel materials from vendors in order to
respond fast to their non negotiable production changes required by
marketing-sales customers
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PRODUCTION PLANNING
The materials procurement planner and buyer analyst skills are based on a
back to back order and/or blank order, together with a weekly, daily, per
shift, product sequence order demand rolling forecast model
A sound MRP-I covering work in progress stocks from receiving, loading into
production lines, finished products, scraps, waste and ready to be loaded;
An MRP-II covering sanitation and engineering maintenance schedules,
production lines capacity availability, updated machines break down status
and availability status reports
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Together with a sound policy on inventory turns, which will support a high
manufacturing planned yield, though great coordination is need to be carried out
between Quality Assurance, Quality Control, Sanitation, Engineering, Production
and Warehousing management
To be able to produce in full, and on time, with minimum wastes, scraps, at a high
level of production efficiency with balanced lines, minimum risk of product
contamination, and machines breakdown, it is required that accurate materials
usage ratios are calculated and analyzed at all times, as Bill of Materials ratios
unexpected changes makes the great difference, generating stocks excess or
shortages, the results are unfulfilled delivery orders
Machines production loading and actual production rates available need to be
measured continuously to be able to plan accurately on real production yields,
setting up realistic production schedules, and furthermore, the planning function
needs to coordinate sanitation and maintenance operations very tightly, together
with production and procurement planning schedules, or else major breakdown
and production available time down, contribute to production shortages
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These tools are complemented by materials purchase orders status covering
Finished Goods demand Bill of Materials kits and computer real time stocks
on hand reports
A balance between buffer inventories’ cost of capital Vs transport cost is
required to support the continuous replenishment, there are situations
where the additional transport cost is less than the excess buffer inventory’s
cost of capital and this is the factor to decide quantities and schedule when
to ship materials from vendors
The buyer skills to negotiate and communicate directly with vendors is
important to get their immediate response and actions to match the
Enterprise manufacturing flexibility by implementing effectively purchase
orders pull-in, push-out and cancellations without charges or complains at
all
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A major contribution to increase revenue gross margin is to get extended credit
terms to equal them as a consignment supply terms, and to continuously seek for
additional discounts, materials quality improvements without minimum quantities
or any other commercial contractual constraint, and with higher vendor materials
quality yields
Also the ability to get materials on consignment without any extra charges from
their best price obtained from vendors
Transportation efficiencies from traffic and warehousing operations contribute
directly to manufacturing operations and its work in process Finished Goods or WIP
Traffic control assures the in-flow of arriving materials and the out-flow of ready to
ship finished goods to warehouse or distribution center, reducing inventories
shortages
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Transportation can be planned as a just in time delivery mode, with careful
estimation of the delivery window time; milk run transportation mode,
where efficiency is achieved in the loading and downloading operation,
containers stock control, and transportation time cycle;
there is also the cost per part delivery mode which focus on weight, quantity
and trips frequency to get the best utilization of the adequate truck size and
engine power
Warehouse efficiency assure the materials loading on time, accuracy and
WIP control as well as the stocks custody,
IQA police the in-bound materials quality yields consistency continuously
from all vendors as per BOM specifications, minimizing scraps within the
manufacturing operation cycle in all the production lines
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The production planner analyst prepares the MRP-I Demand plan
requirements, based on MRP-II production capacity constraints, production
lines equipment maintenance engineering schedules and confirmation of on
time materials available from vendors and stocks
Working out production plans per working shift, to meet production lines
work orders, packaging and raw materials loadings schedules
Maintenance schedules are reported to production planner analyst
Finally the FG warehouse check on storage space constraints, and FG
forwarding traffic controller plans all transport requirements and schedules,
including transportation costs
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Demand Plan
Process
Integrated Actual
Production Lines
Max/Optimal CAP
Demand
Statistics
Statistical
Forecast
Marketing
Events
schedule
Forecast
Delphi
Technique
Production
lines CAP
rates/sku
Related sku’s
Integrated BOM
Requirements
Max/Optimal CAP
Required
Materials
Planning
Inventory
Level
Required
Production
Lines
Layout
Integrated
Capacity
Analysis
Requirements
Schedule
Analysis
Vendor’s Materials
Requirements
Max/Optimal CAP
Commercial
Terms
Strategic
Alliance
Issues
SQA-IQA
Process
& Cost
Safety & JIT
Inventory
Transport
Cost
Analysis
Admin WH &
Transport
Operations
Cost Analysis
Integrated
Cost
strategy
Analysis
Integrated
Production
Master Plan
Optimal
Production
Master Plan
Production
schedule &
Production
Lines Balance
Material’s
BOM
Requirements
Planning
Materials
Inventory
Level
schedule
WH &
Transport
Throughput
Planning
Integrated
Manufacturing
& Materials
Operations
Cost Analysis
Demand Plan
CAP Production
Master Plan
Optimization
Demand
Production
Requirements
Production
Processes
Optimization
Production
Lines
Optimization
Materials
BOM
Requirements
Inventory
Optimization
Warehousing
Transportation
Optimization
Review Strategy for
Production CAP,
Inventories, Vendors,
Warehousing, Transport
Demand Plan
Forecast
Inventory
stock
on hand
Production
Master Plan
at Max/
Optimal CAP
Production
ERP-MRP
system
Outstanding
Inventory
and arriving
schedule
Demand Plan
Production
Master Plan
Vendors
Strategic
Alliance
Optimization
Issues
Simulation
Demand
Plan
variances
Simulation
Production
Master Plan
Variances
Simulation
Production
Schedule
Variances
Simulation
Production
Lines CAP
Variances
Simulation
Materials
Requirements
Plan
Variances
Simulation
Integrated mfg
& materials
operations
cost variances
Materials
ERP-MM
system
Integrated WH’s-DC &
Transport Actual CAP
Simulation
WH’s-DC &
Transoport
variances
About MRP-II and MRP-I
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Each production batch as in all processes has a start and an end of it,
with several steps to be followed either in parallel or in sequence order.
It all starts with the arrangement of direct bulk and indirect materials, or
components, mixing or assembling them to BOM or bill of materials
specifications accuracy
Followed by the packing of individual finished goods as per SKU’s
specifications
And then becoming WIP or work in process finish goods product, prior
to get them pack arranged in the best way to handle them and put them
away to storage for later delivery
Batch production is accomplished with restrictions based on equipment
CAPACITY or capacity available per batch volume, BOM processing
time, and required man-hours
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MRP-II or manufacturing resources planning requires an accurate updated
data on the CAPACITY of each equipment involved in the batch production
process, its objective is to accomplish a production line time balance, with
minimum scraps or waste, equipment idle time, sub-inventories waiting
time, inventory queues, and minimum required man-hours
It is important that all this standard equipment CAP data are kept as accurate
as possible in order to obtain high yield on each production batch plan
When upgrading production line equipment CAP, is required that the BOM
processing time is reviewed as well, in order to keep the batch equipment
production line balanced
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MRP-II is the tool used to keep the batch production line cycle time balanced
at all times during the production plan
Demand Plan tells the production planner what is required within a pre-
determined period of time
Then a master plan is to be elaborated to cover the given demand plan
period
The master plan is then the backbone of the production plan to detail, per
sku’s volume to be produced per day, per shift, per production line, per
sequence almost to the hour
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MRP-I is the tool used to plan and distribute within a given demand period,
the master plan volumes per each sku’s
However, as simple as it is the concept and objectives of this tools; the
practical side of producing an MRP-II and MRP-I tool is rather complicated due
to the fact that there are 10’s or 100’s if not 1000’s of variables to be
considered, its interaction, linkage and multiple combinations available to
come up with the most optimal production plan
To make it even more complicated, there are parameters behaving with
constant values, but others within ranges still acceptable within the
equipment CAP
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For instance, available over time, working days, manpower, equipment variable
production speeds per batch cycle per different sku
On the other hand these can also become the limitations such as no more
available over time, working days, production equipment speeds, and an
arrange of many other factors affecting the planning of production volumes
per sku
MRP-II and MRP-I take for a fact that materials, equipment and manpower
requirements are available, including energy, power and water among many
other HVAC and Plant Facilities supporting equipment and, another elements
required to make the sku’s production plan happen as per schedule
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A preliminary step towards the understanding of Enterprise
batch production cycles, is the need to study the process and
design a dynamic simulation sketch model of the production
In this way, you can shorten the time to go through the pain and
judgment of identifying variables and parameters, which are
critical to design, and building MRP-II and MRP-I tools
35. Industrial Engineering Management Systems Approach to the Enterprise Vision
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