Supply chain management, as a study, is one of the most important aspects of business. This has a significant impact on many businesses' operations. It is because the study of supply chain management involves several interrelated activities that include the planning and coordination of the entire product life cycle, from the development of a new product, to its manufacturing, distribution, and sale.
The success of a company depends on the ability to plan, manage, and execute its supply chains. It is important not only to have an efficient supply chain but to also be able deliver products and services efficiently and effectively at a reasonable cost.
As a result, the field of supply chain management is constantly evolving and developing new ideas and concepts to meet the needs of organizations worldwide. This is evident in the number of papers being published each year in this field, which has become a major source of knowledge for companies and research institutions worldwide (Felea & Albastroiu, 2013).
Supply Chain Papers that will help you make better decisions
Supply chain management is one of the most fascinating subjects to study. It includes topics like the management of a supplier base and effective inventory, as well as design and implementation logistics systems.
It is also important to have a thorough understanding of the risks that are present in the supply chains. Because the world is becoming more unpredictable, businesses must be prepared to deal with any disruption.
In addition to a strong focus on the impact of disruptions on operations, this field also addresses how to reduce or manage the effect that disruptions can have on the firm's finances and reputation. This can be achieved through a variety of techniques, like assessing the probability of disruptions or the cost if a single occurrence to determine the best way to build resilience.
Literature has paid considerable attention to the ripple effect of disruptions in supply chains. It is a phenomenon where the effect of a disruptive event on the overall performance of the supply chain affects other areas, such as production and sales.
Researchers have concentrated their efforts on quantifying the impact of disruptions, and on finding ways to reduce them. Some of these techniques are reorder point strategy, backward propagation, and Bayesian Networks.
This research is particularly valuable in the area resilience. It allows scholars to develop a body of extensive knowledge regarding disruptions in supply chains, and ways firms can mitigate or reduce their impact.
The field of supply-chain disruptions and resilience is also receiving considerable attention from the public sector. This is evidenced in the number of publications about this topic that are published both in professional and academic journals (Felea & Albastroiu, 2010; Wilding and Wagner, 2019).
FAQ
Is automation important for manufacturing?
Not only are service providers and manufacturers important, but so is automation. It enables them to provide services faster and more efficiently. It also helps to reduce costs and improve productivity.
How can we improve manufacturing efficiency?
First, determine which factors have the greatest impact on production time. We must then find ways that we can improve these factors. If you don’t know where to begin, consider which factors have the largest impact on production times. Once you have identified them, it is time to identify solutions.
What is the difference between Production Planning and Scheduling?
Production Planning (PP) is the process of determining what needs to be produced at any given point in time. This is done through forecasting demand and identifying production capacities.
Scheduling refers to the process of allocating specific dates to tasks in order that they can be completed within a specified timeframe.
Is it possible to automate certain parts of manufacturing
Yes! Since ancient times, automation has been in existence. The Egyptians created the wheel thousands years ago. Today, robots assist in the assembly of lines.
Actually, robotics can be used in manufacturing for many purposes. These include:
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Line robots
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Robot welding
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Robot painting
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Robotics inspection
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Robots that make products
There are many other examples of how manufacturing could benefit from automation. 3D printing is a way to make custom products quickly and without waiting weeks or months for them to be manufactured.
Statistics
- It's estimated that 10.8% of the U.S. GDP in 2020 was contributed to manufacturing. (investopedia.com)
- (2:04) MTO is a production technique wherein products are customized according to customer specifications, and production only starts after an order is received. (oracle.com)
- Many factories witnessed a 30% increase in output due to the shift to electric motors. (en.wikipedia.org)
- [54][55] These are the top 50 countries by the total value of manufacturing output in US dollars for its noted year according to World Bank.[56] (en.wikipedia.org)
- In the United States, for example, manufacturing makes up 15% of the economic output. (twi-global.com)
External Links
How To
Six Sigma in Manufacturing
Six Sigma refers to "the application and control of statistical processes (SPC) techniques in order to achieve continuous improvement." Motorola's Quality Improvement Department developed it at their Tokyo plant in Japan in 1986. Six Sigma is a method to improve quality through standardization and elimination of defects. Many companies have adopted this method in recent years. They believe there is no such thing a perfect product or service. Six Sigma aims to reduce variation in the production's mean value. This means that you can take a sample from your product and then compare its performance to the average to find out how often the process differs from the norm. If there is a significant deviation from the norm, you will know that something needs to change.
Understanding the dynamics of variability within your business is the first step in Six Sigma. Once you understand this, you can then identify the causes of variation. These variations can also be classified as random or systematic. Random variations occur when people make mistakes; systematic ones are caused by factors outside the process itself. For example, if you're making widgets, and some of them fall off the assembly line, those would be considered random variations. However, if you notice that every time you assemble a widget, it always falls apart at exactly the same place, then that would be a systematic problem.
Once you've identified where the problems lie, you'll want to design solutions to eliminate those problems. This could mean changing your approach or redesigning the entire process. Once you have implemented the changes, it is important to test them again to ensure they work. If they don’t work, you’ll need to go back and rework the plan.