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When you want to drive down your logistics and transportation spend, the very first thing that you need is freight and transportation data. Without hard data, you can’t take action. When enterprises try to act in the absence of data, they are usually guessing and won’t get the results they need.
We conclude our ongoing series in talking about effective KPI management by giving you a real live Logistics KPIs management case study from Whirlpool's engagement with a logistics service level provider. We hope the following case study shows you the proverbial proof in the pudding of effective Logistics KPIs management. .
Whether that is the case or not, a brief study of the origins and progression of fleet route optimisation, covering the last three decades or so and looking forward to the near future, highlights in a spectacular way how technology, in particular, has revolutionised the business of logistics. But first, what is route optimisation?
Once this exercise is completed, your company can then assess the risk from tier-two suppliers onwards. Because capital costs are higher, however, company leaders must study the finances and determine if such a move would improve your ability to serve customers while remaining competitive.
If you’ve never done a benchmarking exercise before, read on. Case Study: An Automotive Parts Business. This exercise would involve you measuring particular functions or aspects of your business and comparing that against other parts of your business. You will find that companies are very reluctant to give out benchmarking data.
The first one arrived a few years ago when a growing number of companies started treating supply chain design as a continuous business process instead of a standalone project or a once-a-year exercise. In short, the manufacturer realized some time ago that it was setting inventory policies based on outdated lead time and forecast data.
For instance, if I wanted to know what the HEINEKEN canning capacity was in Asia, I would have to sum up 20+ Excel files to sum up the data for all the breweries. There was no global master data in place either. There was a need to centralize data collection and minimize the time spent on structuring and gathering data.
According to a study conducted by IBM and National Retail Federation (NRF), the retail and consumer goods industry is designating intelligent automation, also known as artificial intelligence, as the future of supply chain. Refined Analytics: Logistics is a data-intensive function. What more is required?
That’s far easier to do with solid data to inform you and your customer. Cost-to-serve analysis arms you with that data, strengthening your position in price discussions. View case study Learn more about cost-to-serve benefits. Are You Missing Insight Into Customer Profitability and Value?
Though late, but when they decided to run through past condition data they found a substantial evidence- A high copper concentration in the hydraulic oil. The oil sampling results had been showing increased copper levels but neither the field engineer who were reporting the data nor the bosses sitting in the head office caught the spike.
What do we need for a successful condition monitoring, heaps of operational data? Knowhow of slice and dice data analysis, possibly true but in my opinion these are not comprehensive enough. Here''s presenting the case study of how a seemingly workable condition monitoring exercise can possibly go wrong.
The manufacturer has access to the distributor’s inventory data and is responsible for generating purchase orders. Vendor Managed Inventory Model : The manufacturer receives electronic data ( usually via EDI or the Internet) that tells him the distributor’s sales and stock levels. Then we select the item to be studied.
Strategic failures emerge when ‘thinkers’ are separated from ‘doers’, ‘strategists’ from ‘planners’ and ‘soft data’ from ‘hard data’. The control of logistics resources, especially in capability development, is influenced significantly by the desire to attain and exercise power within the institution. Strategic failure.
Cloud & Big Data. Case Studies. |. « Collaborative Platform for Enterprise of Future | Main | Key Asset Management trends in Oil & Gas Industry » Importance of Proactive Master Data Maintenance in SAP SCM Support. These 3 master data elements contributed to almost 50-60% of planning issues. Banking Suite.
Once you have gathered the data relating to your customers’ needs, you should be able to see if a single logistics strategy will work for your entire customer base, or whether you need to take a segmented approach. Then, you can analyse your current supply chain capabilities using the research results and your data concerning customer needs.
Too much leads to resources being monopolised on gathering tons of data and a subsequent risk of “paralysis by analysis” Cost to Serve (CTS) is an approach that helps you avoid both extremes. If profits start to decline afterwards, your CTS data can offer valuable information about what changed and how to get back on track.
They must exercise caution while driving in poor weather conditions. Installing IoT sensors in trucks, which are integral in working with traffic data, can prevent accidents. A 2009 large truck causation study backs this claim. In a 2018 study, the NHTSA estimated $70.80-$316.18
They need skilled and ongoing maintenance, and as the data above shows, the stakes are too high for them to fail to support their millions of inhabitants and thousands of businesses, as well as their country’s economic health. The Future of Urban Mobility study by Arthur D. Data-driven approach.
In a research study we conducted last year (commissioned and published by BluJay Solutions), we asked supply chain and logistics professionals that question and “Warehouse Automation/Robotics” ranked in the top three, behind “Mobile Devices and Apps” and “Control Tower Visibility.”. Robots in the Warehouse.
Whether that is the case or not, a brief study of the origins and progression of fleet route optimisation, covering the last three decades or so and looking forward to the near future, highlights in a spectacular way how technology, in particular, has revolutionised the business of logistics. Let’s take a brief look at some of them.
Fleet operators need real-time data to make informed decisions about their business. Petty stated 75% of the private fleets in the study are operating as cost centers or, as he calls them, contribution centers. We can process the data and optimize it in several ways. They don't want to trust that to a carrier.
Though late, but when they decided to run through past condition data they found a substantial evidence- A high copper concentration in the hydraulic oil. The oil sampling results had been showing increased copper levels but neither the field engineer who were reporting the data nor the bosses sitting in the head office caught the spike.
Strategic failures emerge when ‘thinkers’ are separated from ‘doers’, ‘strategists’ from ‘planners’ and ‘soft data’ from ‘hard data’. The control of logistics resources, especially in capability development, is influenced significantly by the desire to attain and exercise power within the institution. Strategic failure.
For instance, if I wanted to know what the HEINEKEN canning capacity was in Asia, I would have to sum up 20+ Excel files to sum up the data for all the breweries. There was no global master data in place either. There was a need to centralize data collection and minimize the time spent on structuring and gathering data.
Mini Case Study: Walmart. If your supply chain network design has not been under the microscope, and you care about business success, it’s probably time to consider the benefits of a design review and optimisation exercise. Mini Case Study: Whirlpool.
Strategic failures emerge when ‘thinkers’ are separated from ‘doers’, ‘strategists’ from ‘planners’ and ‘soft data’ from ‘hard data’. The control of logistics resources, especially in capability development, is influenced significantly by the desire to attain and exercise power within the institution. Strategic failure.
According to a 2019 Pew Research study, “ older Americans spend over half of their waking hours alone.” This type of telehealth allows patient data to be collected in one location and sent to a provider in another location. . Remote Patient Monitoring (RPM). RPM has many benefits. Wearables and Apps.
Physically, the long hours sitting behind the wheel, lack of exercise (or for many OTR drivers little physical movement at all) and easy access to unhealthy food and drinks all take their toll on driver health. The severity of those mental health conditions is obvious in data like this: 13.6% Loneliness is a big challenge for drivers.
Data and processes are fundamental to supply chain work. Understanding data and being able to draw actionable conclusions from it, using IT or other tools made available, is a capability of growing importance. As in other domains, data analysis and business intelligence requirements and opportunities are now on the rise.
However, we’re also seeing increased supplier collaboration, where customers are sharing inventory levels and demand data with their suppliers, which historically has been disconnected. Historically, this product ‘footprinting’ exercise was both tedious and expensive. It’s going to get bigger and bigger.
Once this exercise is completed, your company can then assess the risk from tier-two suppliers onwards. Because capital costs are higher, however, company leaders must study the finances and determine if such a move would improve your ability to serve customers while remaining competitive.
For instance, if I wanted to know what the HEINEKEN canning capacity was in Asia, I would have to sum up 20+ Excel files to sum up the data for all the breweries. There was no global master data in place either. There was a need to centralize data collection and minimize the time spent on structuring and gathering data.
In 1984, a study was conducted by the National Institute for Occupational Safety and Health (NIOSH) to determine the effectiveness of a lift truck safety training program. The instructor may give a lecture, show a PowerPoint slideshow, play videos, or host a question-and-answer exercise to discuss training topics.
Another trend is learning how to deal with the avalanche of data that supply chain managers have at their fingertips. Data from barcodes, RFID tags, GPS systems, and the Internet of Things (IoT) mean that managers not only have to be good analysts, but they also have to be good at understanding the supply chain system instinctually.
Recent studies have shown that among the challenges frustrating warehouse and distribution centre managers this year, rising energy and labour costs are two of the most often cited. A warehouse benchmarking exercise is an excellent way to start the quest for improvement opportunities.
If your supply chain network design has not been under the microscope, and you care about business success, it’s probably time to consider the benefits of a design review and optimisation exercise. SEE ALSO: 10 Reasons to Review Your Distribution Network Design.
If you’re already knee deep in design iterations and fulfillment provider RFPs, we hope you’ve already gone through this exercise. But before you jump onto the bandwagon, you’ll want to conduct a very thorough niche market study. What Problem is your Product or Brand Solving? We can’t all be first. Where are they advertising?
Administrative staff, managers, and executives though, may rarely need to concern themselves too much with the manual side of things, as long as they can rely on information technology to provide the data they need. Designing and Managing the Supply Chain: Concepts, Strategies and Case Studies, by David Simchi-Levi et al.
Watson Health 15 Top Health Systems Study 4. Where unavailable, latest available full-year data used. All raw data normalized to a 10-point scale prior to composite calculation. “Building a leading supply chain in healthcare is a very deliberate exercise that takes years of effort and lots of resources,” he said.
Then, you can analyse your current supply chain capabilities using the research results and your data concerning customer needs. You will need to find several companies against which yours directly competes and then somehow find a way to access their performance data. Be aware that benchmarking against competitors is no easy task.
Cloud & Big Data. Case Studies. |. These forms key contributors to an effective transformation exercise. They are an integral unit for success of any transformation exercise and should go hand in hand. Business Process Outsourcing. Customer Service. Finance & Accounting. Human Resources. Product Categories.
A two-month study suggests a 22% time-saving and a 33% reduction in errors over a typical eight-hour shift when using the technology, and employees have proved to be satisfied with the user interface, says Murauer – though there have been some reports of hardware-related discomfort to the nose and temples, she admits. .
For example, technology could have been used in the following ways to enable a business-aligned supply chain strategy: To transmit demand-data from the point-of-sale all the way up the supply chain to key strategic suppliers. To collaborate actively with suppliers and partners to create an aligned, end-to-end supply chain strategy.
Cloud & Big Data. Case Studies. |. The resulting solution set focuses on master data management, demand planning and replenishment management systems, and the sequence in which they must be implemented. Enterprise transformations are a multi-year exercise in the making. Business Process Outsourcing. Customer Service.
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