This document discusses demand and production planning. It provides an overview of demand planning techniques used to determine production levels and inventory needs. Demand is analyzed using statistical process control methods to set upper and lower limits. Forecasting incorporates factors like trends, seasonality and weighted averages. The Delphi method is used to discuss forecasts among teams. Forecasts are set for multiple periods to plan production and procurement. Demand planning should be led by dedicated analysts to thoroughly analyze data and agree on reliable forecasts used across the organization.
Forecasting is the process of making predictions of the future based on past and present data and analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. After gathering information about various aspects of the market and demand from primary and secondary sources, an attempt may be made to estimate future demand.
Forecasting is the process of making predictions of the future based on past and present data and analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. After gathering information about various aspects of the market and demand from primary and secondary sources, an attempt may be made to estimate future demand.
Interventions required to meet business objectives - from Forecasting Methods,
Forecast Accuracy / Error Reduction,
Integrate – Sales Forecast / Production to undertaking a CPFR
The presentation describes demand forecasting, characteristics of forecasting, subjective forecasting, time series based forecasting, forecasting errors and seasonal adjustments with examples.
Demand forecasting is essential for a firm to enable it to produce the required quantities at the right time and proper arrangements of all factors of production (Land, Labour, Capital, and Organisation). Demand Forecasting helps a firm to assess the probable demand for its products and plan its production accordingly.
Demand planning and inventories strategyLuis Cabrera
Simple technique to do your Demand Forecast and manage your inventories
It involves actual historical sales, Sales personnel, Marketing events planning, and provide you with a number within a range, to be used in you production planning, or your procurement planning. Good Luck. Luis Cabrera
Interventions required to meet business objectives - from Forecasting Methods,
Forecast Accuracy / Error Reduction,
Integrate – Sales Forecast / Production to undertaking a CPFR
The presentation describes demand forecasting, characteristics of forecasting, subjective forecasting, time series based forecasting, forecasting errors and seasonal adjustments with examples.
Demand forecasting is essential for a firm to enable it to produce the required quantities at the right time and proper arrangements of all factors of production (Land, Labour, Capital, and Organisation). Demand Forecasting helps a firm to assess the probable demand for its products and plan its production accordingly.
Demand planning and inventories strategyLuis Cabrera
Simple technique to do your Demand Forecast and manage your inventories
It involves actual historical sales, Sales personnel, Marketing events planning, and provide you with a number within a range, to be used in you production planning, or your procurement planning. Good Luck. Luis Cabrera
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Tridant for FMCG - Data Analytics and PlanningRana Banerji
Looking to transform your FMCG business into a more competitive organisation using analytics and planning. This documents shares details on some of initiatives that can be done using Big Data Analytics, AI, Forecasting, Planning, Data Visualisation and Predictive Algorithms
Optimizing New Product Development and Introduction (NPD&I) Through AnalyticsWill Ruiz
Optimizing new product development and introduction through analytics.
Lessons from highly innovative companies. Successful innovation not only requires a well-articulated
strategy and a clear understanding of latent or future consumer needs, it also demands the flawless execution of NPD&I processes.
Understanding how product design choices impact NPD&I
processes is key to a company's success in bringing new products to market, on time, and in the quantity necessary to meet the required shelf-fill rate.
To survive and thrive in an environment marked with
rapidly changing consumer preferences and shrinking
product lifecycles, CPG companies need to continually reinvent their NPD&I processes. Analytics can be of great help in
achieving this.
Leveraging Analytics to Manage Complexity in Highly Innovative Companies - A ...Will Ruiz
Nothing drives true top-line growth and competitive advantage more than innovation. It’s therefore not a surprise to see the topic rank high in any survey of senior executives of consumer goods companies. But with the continued drive to introduce new products into the market, many companies are realizing that managing a growing and significantly larger set of SKUs is adding complexity and cost to the business. This is especially true in highly creative companies where, on a yearly basis, new products with a relatively short lifecycle constitute a high percentage of the total saleable product portfolio. This whitepaper explores how consumer companies can leverage analytics to optimize their new product development and introduction processes, and proactively manage supply chain complexity.
SAP ERP1. Describe the Production Planning and Execution process.docxkenjordan97598
SAP ERP
1. Describe the Production Planning and Execution process (as implemented in SAP ERP) starting from sales and operations planning all the way to the receiving of the finished goods into stock. Use a diagram to show the linkages between the different modules.
The diagram above shows the role of the application functionality, Production Planning and Control, within the SAP ERP system. The Production Planning and Control application deals mostly with quantity and time-based planning and controls the production process. Within the Production Planning and Control system, various modules are interconnected to facilitate data exchange and document flow, and to increase functionality. The diagram below shows a breakdown of these main modules within Production Planning and Control.
Sales and Operations Planning contains some of the higher level planning. For example, it includes the overall planning at the company level. The main function of Sales and Operations Planning is to determine the quantities to be produced. To this end, Sales and Operations Planning is a forecasting and planning tool where sales and production goals can be set on the basis of historical, existing, and estimated future data. Consequently, Sales and Operations Planning is mostly useful for medium and long-term planning. Additionally, Sales and Operations Planning gives the user the ability to do rough-cut planning to come up with an idea of the different types of resources and production capacities required to meet the goals set by the Sales and Operations Planning function itself. Once the goals are set, and the production quantities are determined, it is time to utilize the next module, Demand Management.
The main function of Demand Management is to pick up where Sales and Operations Planning left off by calculating the independent requirements for production. To do this, once the data from Sales and Operations Planning is transferred to Demand Management, requirement dates and requirement quantities can be determined in accordance with planning strategy. The planned independent requirements will then, in turn, be given individual dates and will go on to facilitate production planning.
The next step in the process is Material Requirements Planning, or MRP. MRP is the main function of production planning. It will take the demand program that was created within Demand Management and integrate that information with things like lead times, lot sizes, and scrap quantities. MRP will create the planned orders at every bill of materials level to cover the requirements. The long-term planning part of this step is used to determine how a change in the planned independent requirements will affect capacity utilization, stocks, and external procurement.
The next step in the Production Planning and Execution Process is to create the planned orders that will ultimately be integral to the production process. It is important to know that the planned orders are not binding a.
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
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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
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
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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.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
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numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
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using an iterative solution technique with calculations of heat
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NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...
Demand Forecast & 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 III DEMAND & PRODUCTION PLANNING
2. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
About Demand Plan Forecasting Techniques
Demand Planning, Analysis, Design, Development and Implementation of
Inventories Strategy
Abstract: In the background of every strategy is the set of Goals provided by
the enterprise, and the Objectives which measure how close those goals have
been achieved. At the front end is the Strategy which will lead specific
actions into how to get those Goals and at the same time meet the
Objectives
If a Goal for Inventories is to have sufficient inventories to support the business operations, with an
objective of say having zero shortages and almost zero surplus, and yet maximum inventory turns over
a specific period of time
The strategy is to tell how to achieve that, and in doing so, we make use of the Demand Plan concept
in order to determine how to quantify the level of inventories required to meet the Objectives and
ultimately the Goals
3. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
Background:
The industry (Manufacturing & Retail) requires information in regards to
how much to produce & how much to have on display and available with
the purpose to sell and avoid been short of stocks or over stocks. Both
cost money in lost sales due to lack of available stocks and cost of carrying
inventories
Demand Plan:
Is a concept used to help to make a decision in regards to how much to
produce or how much inventory to carry for retail sales
4. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
Manufacturing: most production plans start with an existing customer order,
either from their own marketing-sales staff or from an OEM customer, to
produce under their customer product brands; in any case, it is required to
prepare an annual budget for the company in order to calculate the financial
resources required by the company to operate throughout the year, and so,
an estimated monthly plan is needed, which includes the production capacity
required vs existing available capacity and at the same time analyze how best
utilize existing facilities, upgrade and extend these facilities; all based on an
annual budget plan
Retail: marketing sales services requires to estimate their market
participation and see how much they can sustain or expand their market
share based on existing conditions; in this respect they need to analyze their
customers purchase behavior, trends, and figure it out what changes or
modifications need to provide to their existing marketing sales services and
finished products, and so an annual budget plan is also required
5. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
Plant Manufacturing Marketing Services: focus on full capacity utilization and
existing production capability, production yields, process reliability,
production rates, production process flow and its productivity measurements
The bottleneck is measured in how much the Plant/Factory can produce
within a given time frame or a schedule
On the other hand, when the level of customers sales orders are below the
existing capability of the plant/factory, demand is measured based on the
capability of the Plant/Factory Marketing Services resources, the sales effect
generated from their campaigns, their customers portfolio, and their
performance to sustain a balance between the Plant/Factory performance
and the Plant/Factory capability, becoming a critical responsibility of top
management
6. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
Retail Marketing Services: focus on their sales performance, campaigns,
territory & distribution channels coverage, including their market share within
it
To determine their demand, they gather intelligent market information,
regarding market participation, product acceptance, price, quality,
competitiveness and summarize it with an estimated figure, based on their best
market knowledge and their customer preferences, market moves and trends
The bottle neck is reflected in the existing gap between actual sales vs
estimated sales, lost sales due to shortages and capital losses due to surplus
inventories
7. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
Demand Process:
Every item is purchased, used or consumed based on multiple criteria’s as
perceived by the user/consumer benefits, including total ownership cost,
acceptance, popularity, performance vs expectations, easiness, flexibility,
reliability, and a great number of other consumer preferences attributes; and
so, every item has a life cycle which can last for a short time or a very extensive
period of time
The life process of any item can be analyzed over time within an upper limit, a
lower limit process boundary, and an average measured value, within the
boundaries, indicating its performance. When the item performance fluctuates
at random, within the upper and lower process boundaries, we can say that the
behavior within the process is under control, on the other hand when the
fluctuations are outside the upper and lower process boundaries, we say the
behavior is out of the process control
8. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
When the range between upper and lower limits boundaries is big
statistically speaking, we can say the item behaves unpredictable, when the
range between boundaries is closed to the average value, we can say the
item behaves very predictable
There is also a series path which follows cycles, and the cycles are also
predictable, these are translated as seasonality, trend, and randomness
factors from other non measured parameters affecting the item behavior,
such as innovation technology, marketing campaigns, design, packaging,
pricing, and many others like company mergers, bankruptcy, new market
entry barriers, competitive advantages among companies and products
The important point here is to understand that an item demand behavior is
part of the item life cycle process; which lead us to use the concept from
Statistical Process Control SPC where:
9. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
UL = average value + standard deviation/ square root of the N observations
LL = average value – standard deviation/ square root of the N observations
Where for a given N observations of an item Xi,….,N
We calculate its average value and it standard deviation
Then we can plot the Upper Limit boundary and the Lower Limit over a N
period of time observations, and the item Xi,…,N graph can be observed
Demand Trend or behavior: marketing events have a direct effect on each
period, and so demand behavior follows that collateral effect, for example a
change on pack size, premium packing, sales discount, a change of season,
and many other factors will generate certain trend or behavior. In this
respect a weighted average value is better than an arithmetic average value,
where the last 6 observations have more meaning; and so it is calculated as:
WA = (X6 + X5 + 2X4 + 2X3 + 3X2 + 3X1) / 12
10. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
Where X1 is the last new observation and X6 is the last 6th
observation, and
so in SPC we replace the plotting of the average value by the weighted
average value
UL= WA + standard deviation / square root of N
LL= WA – standard deviation / square root of N
Marketing Sales Forecast: is the figure provided by the expected sales for
the coming period and can be measured as follows:
Besides the provided marketing sales forecast figure, there is also the additional sales expected value
due to special marketing campaign events, or as a down effect due to last period campaign results and
so this adjustment is measured in % of +/- future sales for the coming forecasted period
Ratio of Accuracy = SUM (Xi,…,N) actual sales / SUM(Xi,…,N) marketing sales forecast figures
0 <= RA<= 1
11. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
DELPHI Method: within the forecasting process, there is room for discussion
for each sales figure for each item or group of items among the sales
marketing team members, and/or the production-manufacturing and
procurement planning team members; reviewing the reliability of stocks
supply, based on lead time & other supply and production factors. This final
reviewed figure is to be considered the minimum expected sales forecast
Sales Target Marketing Sales Forecast for the following period: with the 3
found forecast values, the minimum sales forecast, the weighted average, the
adjusted marketing sales forecast, we now proceed to calculate what we call
the marketing sales forecast target Tfo
Tfo = [(minimum sales forecast value + 4{weighted average} + adjusted
marketing sales forecast) / 6] * (1+/-% adjustment for future sales)
12. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
Inventory Planning: is based in the Upper Limit of our SPC using weighted
average values UL>= Tfo
If Tfo>UL the inventory level should not be greater than <= UL + Alpha *
standard deviation/square root N
Where Alpha = 0.1, 0.2, 0.3
Where 0.1 is for high risk and 0.3 is for moderate risk of getting over stocks
With the official sales target, then it follows to distribute the gross figure
into all sales distribution channels & territories as per their corresponding
sales target share, or if within manufacturing, distribute the target sales
forecast among their customers portfolio share
Inventories then have to be planned & deployed as per the distribution
points of the organization
13. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
This is the basic way to plan for the manufacturing-production inventories to
support their marketing sales counterpart, which is different from OEM
customers sales orders placed and paid in advance by a letter of credit or other
financial instrument
Procurement planning, base their purchases based on the Demand Plan Inventories, considering
existing stocks, outstanding orders, and other redeployment of available stocks
Digital Demand Planning Tools:
There is always at least a computer spreadsheet to be used, or a standalone computer with some
computer program to perform all calculations, and print outs
14. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
In today’s technology, using a Server-Client Network configuration, and
web/internet technology, it is easy to write a computer program, where all
users can remotely key in their corresponding data, get the results in real
time, online, attend web-conferences, and see simulation runs of several
sales forecasting figures scenarios, with questions and answers before
getting to the final Sales Target Marketing Forecast, and finalizing on the
level of required inventories
Demand Plan cycles are broken down into 52 weeks and 13 periods of 4
weeks each
In the Analysis, Design, Development and Implementation of Inventories
Strategy, it is important to understand basic concept like the ones
mentioned, before going into the darkness of abstraction and economics
speculations
15. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
There are many statistic forecast techniques, time series and a great variety
of other quantitative methods used to generate a forecast.
One effective technique is always the following:
Where Xi represent the last six periods (days, weeks or months)
n=6
Xi = X6, X5, X4, X3, X2, X1
Wi = 3,3,2,2,1,1
X°= ∑(Xi*Wi) / ∑(Wi)
σ° = ∑( X°-Xi)2
UL(X°) = X° + 2.05 * (σ°/√n) or X°+ (0.8369)* σ°
Demand (Xn+1) = Range [X° and UL (X°)]
The range value is to be discussed using the DELPHI approach or brainstorming with Marketing and Sales
management, including promotions, main clients expected orders, competitor’s moves, price strategies
and other activities affecting sales for the period (n+1)
16. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
In every Company, there are always many SKU’s and because there
is much data to be analyzed, it is most appropriate to have a
“Demand planner analyst” to take care of this important task, and
then use the result information to generate the official Demand
Forecast for the period (n+1)
Once these figures are agreed by Marketing and Sales, then
procurement and production can use these figures as confirmed
quantities to be supplied to Sales for their distribution efforts for the
period (n+1)
17. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
Once these figures are agreed by Marketing and Sales, then procurement
and production can use these figures as confirmed quantities to be
supplied to Sales for their distribution efforts for the period (n+1)
There are other techniques but, using a double smoothing approach, it is
always possible to calculate an estimated forecast for n+2, n+3
λ(n+2)=0.05, 0.1, 0.15, 0.2, 0.25, 0.3
Seasonal growth or contraction factor {λ(n+2)} = 1{+/-} λ(n+2)
λ2 = 1{+/-} λ(n+2)
λ(n+3)=0.05, 0.1, 0.15, 0.2, 0.25, 0.3
Seasonal growth or contraction factor {λ(n+3)} = 1{+/-} λ(n+3)
λ3 = 1{+/-} λ(n+3)
α= 0.1, 0.2, 0.3
18. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
Forecast Reliability (α) = (1-α)
Demand (n+2) =[ X° *(1-α) + α *UL(X°)] * 1{+/-} λ2
Demand (n+3) =[{UL (X°)+4* Average (Xi)+Demand (n+2)}/6]*λ3
i=1,n
n=6
The demand values founded for n+2, n+3 are to be discussed and agreed
as well with Marketing and Sales during the same DELPHI session where
demand forecast for n+1 are to be brainstormed
19. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
Demand Forecast is the most important value to be analyzed
and to be used by most departments affecting all aspects of
production costing, production planning, procurement
planning, cash flow, inventory shortages or added higher
inventory financial cost, marketing events effectiveness due to
availability of products
20. Systems Approach to the Enterprise Vision
Chapter III
DEMAND & PRODUCTION PLANNING
Demand plan is so important, to be left to be worked out
alone or only by the company brand mangers or sales
managers or marketing managers
Normally their time is used more focused on other key
accounts management activities, brand and
advertisement promotional activities, and a great number
of top management meetings where a great number of
changes are made to the sales forecast made in a hurry
without real analysis and rationale at all
21. 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
THANK YOU
Chapter III DEMAND & PRODUCTION PLANNING