This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Our 2018- 2019 Network Design Survey showed that the majority of organizations are still relying on spreadsheets (nearly 60%) and gut feel (15%) to make network design decisions. In the context of disruptions like COVID-19, this can make considerable difference , as we’ve seen among AIMMS customers.
Additionally, most planning tools fail to incorporate the abstract data that’s required for this stage. How can you account for new products that don’t exist in master data? Product management in AIMMS IBP. Often, demand planners are located in supply chain, where there is more data affinity.
Poor data quality: 53% of respondents in a Supply Chain Insights survey cited this as a top challenge. . Lengthy time to plan/execute: a quarter of professionals surveyed complain that it takes too long to execute on network design efforts. . Not all tools are equally data- hungry and some are easier to use than others.
S till, most companies are “not very far” when it comes to implementing analytics and garnering benefits from data, as a recent survey from CSCMP suggests. I n many cases, organizations haven’t succeeded in making the organizational changes required to become data-driven. Source: CSCMP.
We put together a survey with our partners at Districon to better understand these challenges and offer ideas for improvement. Industries that deal with lots of daily fluctuations were among the most heavily represented in our survey. The survey shows that volatility may have something to do with this staggering disparity.
Data overload and quality issues are common problems faced by all organizations. This makes it really difficult to start getting value out of data with analytics. That’s why 60% of the time spent in analytical supply chain projects is spent collecting data. Data architecture to fit a multitude of your needs.
Data overload and quality issues are common problems faced by all organizations. This makes it really difficult to start getting value out of data with analytics. That’s why 60% of the time spent in analytical supply chain projects is spent collecting data. Data architecture to fit a multitude of your needs.
AIMMS is used by several organizations for this purpose. The Institute of Forest Management from the Technical University of Munich developed an AIMMS model that helps forest enterprises consider risks and strategies for carbon mitigation. The post 3 Supply Chain Trends to Keep an Eye on in 2020 appeared first on AIMMS SC Blog.
None of the respondents share data across multiple applications to manage inventory, network design and S&OP in an integrated way. These quiz responses are fairly consistent with a 2017 survey by Lora Cecere’s Supply Chain Insights, which revealed that 65% of companies use spreadsheets for network design.
Our 2018- 2019 Network Design Survey showed that the majority of organizations are still relying on spreadsheets (nearly 60%) and gut feel (15%) to make network design decisions. In the context of disruptions like COVID-19, this can make considerable difference , as we’ve seen among AIMMS customers.
S till, most companies are “not very far” when it comes to implementing analytics and garnering benefits from data, as a recent survey from CSCMP suggests. I n many cases, organizations haven’t succeeded in making the organizational changes required to become data-driven. Source: CSCMP.
You need technology to crunch the numbers, manage data and run optimization models for decision support. Supply Chain Insights research found that out of 110 survey respondents, 79 (72%) have a SCND process in place. Usability and the ability to import/export data are cited as the most important attributes they look for in SCND tools.
You need technology to crunch the numbers, manage data and run optimization models for decision support. . Supply Chain Insights research found that out of 110 survey respondents, 79 (72%) have a SCND process in place. Finding the optimum balance in this trade-off is often what makes SCND a challenging endeavor. ” .
Poor data quality: 53% of respondents in a Supply Chain Insights survey cited this as a top challenge. . Lengthy time to plan/execute: a quarter of professionals surveyed complain that it takes too long to execute on network design efforts. . Not all tools are equally data- hungry and some are easier to use than others.
53 % of survey respondents said it their planning process was “somewhat effective,” regardless of the technology used. To gather input for planning, more than half of professionals discuss with key stakeholders (like manufacturing and sales) and collect data. Over 280 professionals have completed our assessment since.
We put together a survey with our partners at Districon to better understand these challenges and offer ideas for improvement. Industries that deal with lots of daily fluctuations were among the most heavily represented in our survey. The survey shows that volatility may have something to do with this staggering disparity.
None of the respondents share data across multiple applications to manage inventory, supply chain network design and S&OP in an integrated way. These quiz responses are fairly consistent with a 2017 survey by Lora Cecere’s Supply Chain Insights, which revealed that 65% of companies use spreadsheets for supply chain network design.
AIMMS is used by several organizations for this purpose. The Institute of Forest Management from the Technical University of Munich developed an AIMMS model that helps forest enterprises consider risks and strategies for carbon mitigation. The post 3 Supply Chain Trends to Keep an Eye on in 2020 appeared first on AIMMS.
Additionally, most planning tools fail to incorporate the abstract data that’s required for this stage. How can you account for new products that don’t exist in master data? Product management in AIMMS IBP. Often, demand planners are located in supply chain, where there is more data affinity.
54 % of survey respondents said it their planning process was “somewhat effective,” regardless of the technology used. To gather input for planning, more than half of professionals discuss with key stakeholders (like manufacturing and sales) and collect data. Over 320 professionals have completed our assessment since.
” “I don’t want financial planning people spending their time importing and exporting and manipulating data, I want them to focus on what is the data telling us” – Adobe Inc.’s Analyses are often slow given that you can only work with a certain amount of data . They have also adopted an AIMMS-based solution.
” “I don’t want financial planning people spending their time importing and exporting and manipulating data, I want them to focus on what is the data telling us” – Adobe Inc.’s Analyses are often slow given that you can only work with a certain amount of data. They have also adopted an AIMMS-based solution.
We organize all of the trending information in your field so you don't have to. Join 84,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content