Manufacturing_Real-time production of
orders
1. Analysis background introduction
In the manufacturing industry, the waste of
resources in the production process and the waste of time caused by machine
failure maintenance are key issues that affect the operational efficiency and
cost control of enterprises. Enterprises hope to be able to monitor and analyze
production data in real time, find and solve resource waste and equipment
failure problems in time, optimize production processes, improve production
efficiency and reduce operating costs, so as to gain significant advantages in
fierce market competition.
This case comes from an intelligent freight
electricityAs a leading enterprise in the industry, ladder manufacturers are
facing the challenges of increasing order volume, increasing production
complexity and diversifying customer personalized needs. In order to maintain
its advantage in the fierce market competition and improve production
efficiency and the accuracy of order delivery, the company decided to introduce
the order real-time production dashboard for comprehensive monitoring and
analysis.
2. Statement of key issues
In order to meet the challenges, the
introduction of the order real-time production dashboard aims to achieve the
following goals
Real-time monitoring of production
progress: Track the production status of each order
in real time through the dashboard to ensure that each link is completed on
time and improve the overall production efficiency.
Optimize resource allocation:Use data analysis to optimize the allocation of manpower, equipment
and raw materials, reduce resource waste, and improve utilization.
Improve order visualization:Realize the visual management of the whole process from receipt to
delivery of orders, enhance transparency, and facilitate timely adjustment and
decision-making.
Prevent potential problems:Through real-time data monitoring, identify production bottlenecks
and potential failures in advance, and take preventive measures to reduce
downtime and production interruptions.
Improve customer satisfaction:Ensure that orders are delivered on time and with high quality,
enhance customer trust and satisfaction, and promote long-term cooperation.
3. Analyze the plan
In response to the above analysis goals, we
take the following actions:
3.1 Determine key data indicators.
Integration: contract data, sales order data, production record data
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Serial number
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Name of the indicator
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Paraphrase
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Analysis angle
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1
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Contract number
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The contract number is the unique mark of
each sales contract or order.The identifier is used to track and manage the
details of specific customer orders.
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Compare the contract number with other
production and sales dataLian, analyze the fulfillment of the order.
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2
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Production schedule
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The production schedule refers to the
date on which the order is arranged into the production plan, marking the
start of the production process.
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Production load management: Optimize the
production line load through the distribution of production dates to avoid
excessive concentration or sparseness.
Order priority setting: Determine the
order priority according to the scheduled production date to ensure the
timely production of key orders.
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3
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Expected shipping date
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The expected shipping date refers to the
expected shipping date after the order is completed, which is used to arrange
logistics and delivery.
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Production progress control: monitor the
production progress by predicting the shipping date, and adjust the
production plan in time to meet the delivery requirements.
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4
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Name of the process
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The process name refers to the name of
each specific step or operation in the production process.
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Evaluate the time consumption and
efficiency of each process, and find out the bottlenecks.
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5
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Responsible employees
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Responsible employees refer to employees
who are responsible for performing tasks in specific processes or production
links.
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Analyze the workload of each employee,
assign tasks reasonably, and avoid wasting human resources.
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6
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Start time
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The start-off time refers to the time
when the production of an order or process actually starts.
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Analyze the distribution of start-off
time to ensure the smooth and orderly production process.
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7
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Completion time
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The completion time refers to the time
when a production order or process is actually completed.
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Calculate the time from start to
completion and evaluate production efficiency.
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8
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Delay time (minutes)
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Delay time refers to the time difference
between the actual completion time and the planned completion time, expressed
in minutes.
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Based on the reasons for the delay, find
out the common delay factors in the production process and formulate
improvement measures.
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9
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The reason for the delay
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The reason for the delay refers to the
specific reasons for the delay in the completion of the order or process,
such as equipment failure, material shortage, shortage of personnel, etc.
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Find out the frequent bottlenecks by
classifying and counting the reasons for the delay.
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Ten
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Production line
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Production line refers to the combination
of production machinery and workers used to produce specific products or
product lines.
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Compare the production efficiency of
different production lines and identify the best practices of high-efficiency
production lines.
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11
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Workstat
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The workplace refers to the specific work
area or position on the production line, responsible for specific production
tasks or processes.
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Evaluate the production speed and quality
of each workstation, and find out the inefficient workstation for
optimization.
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12
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Product type
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Product types refer to different types or
models of intelligent freight elevator products produced by the company,
which may be classified according to function, size, customized needs, etc.
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Examine the complexity of different
product types in the production process, arrange production resources
reasonably, and improve production efficiency.
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Explanation: The indicators selected in
this case are common indicators in the analysis. In the analysis work, priority
should be given to the indicators that have the greatest impact on the business
to ensure that the purpose of the analysis is consistent with the business
objectives and key performance. Implement the order real-time production
dashboard, which canThe dataization and visualization of some indicators
provide strong support for decision-making and realize intelligent and refined
production management.
3.2 Power BI Visualization Scheme
Note: The DEMO page data is simulated data,
which is for reference only to the analysis angle and Power BI function
display, and does not involve any actual business data.
4. Analysis and interpretation
KPI shows the overall situation and
provides a macro perspective to reflect the overall operational performance of
the enterprise and the achievement of key production indicators.
Work order scheduling production process
process monitoring helps production managers to understand the schedule,
current status and progress of each process of work orders in real time, so as
to ensure the smooth and efficient production process.
The time point of process completion and
the reason for the delay are displayed, and the root cause of the delay in the
production process can be deeply understood, so as to take targeted improvement
measures to improve the overall production efficiency and on-time delivery
rate.
5. Application effect
Enterprises implement lean production
management through the order real-time analysis dashboard, and monitor the use
of resources and equipment status in the production process in real time. The
data covers the key management needs in the production process, helps
enterprises quickly find resource waste points on the production line, and
improves resource utilization by adjusting the production rhythm and resource
allocation.
For example, with the increase of orders on
a production line, the dashboard displays the load of each production line in
real time.Production managers dynamically adjust the personnel and equipment
resources of other production lines according to real-time data to ensure that
orders are completed on time.
In a word, real-time monitoring and
analysis of the status of the production line enables enterprises to realize
advance plans, reduce production interruptions caused by man-made causes, and
ensure the smooth progress of production plans.