MTS Logistics

MARCH 12, 2025

For example, numerous ports are still severely congested today. years on planning and operating through a hub model. So, planning in advance, choosing the right partners that present options, doing an actual cost analysis, and keeping customers educated will be the key to overcome the challenges faced in 2025.

Cost Reduction 86

Cost Reduction Reliability Scenario Planning Logistics Network Optimization Software 86

Logistics Viewpoints

FEBRUARY 7, 2025

ITR Economics analysis shows rising and unmet demand for electric power from sustainability initiatives, coupled with the proliferation of data center construction ($27.3 As supply chains transition to a more circular and sustainable model, M&A activity in this domain is expected to intensify.

Cost Reduction 78

Cost Reduction Inventory Reduction Price Reduction Supply Chain Planning Software 78

MTS Logistics

FEBRUARY 2, 2024

There are many different models that ensure success in any company, but for the purposes of simplicity, we have chosen one model: the 4 Ps of logistics (product, price, promotion, and place). For example, a company’s logo, the name of the company, packaging designs and methods, services provided, etc.

Modeling Software 111

Modeling Software Modeling Logistics Network Optimization Software Supply Chain Software 111

Logistics Bureau

NOVEMBER 12, 2024

Essential Steps to Using Warehouse Modeling Software for Design 1) Understand the Design Objectives and Constraints The first step in your review should be to determine and prioritise the objectives for your warehouse facility and operation. For example, is an SKU typically ordered by the pallet, carton, split carton, or individual unit?

Modeling Software 72

Modeling Software Supply Chain Design Software Supply Chain Planning Software Optimization Software 72

The Logistics of Logistics

APRIL 26, 2022

Michelle Sodomka, a Senior Director in charge of Open Sky Group ’s transportation management practice has 15 years’ experience in risk analysis and mitigation within the logistics industry. Shippers would access autonomous freight capacity in a service model and pay for this on a per mile basis.

Logistics Network Optimization Software 221

Logistics Network Optimization Software Trucking Freight Supply Chain Planning Software 221

Logistics Viewpoints

FEBRUARY 28, 2022

Lead times, for example, are a critical form of master data for planning purposes. In process industries the supply chain models used for optimization are much more complex than those used in other industries. The processing units in an oil refinery, for example, operate at high temperature and high pressure.

Supply Chain Planning Software 141

Supply Chain Planning Software Supply Chain Design Software Optimal Sourcing Supply Chain Software 141

Trinity Logistics

JANUARY 19, 2024

Foundational Model This is where the training/learning takes place, where you’re teaching the AI how to look at things and look at input. Large Language Model (LLM) This model is trained on vast amounts of text, can interpret what you’re asking of it, and can put a response in words that you can understand.

Supply Chain Software 127

Supply Chain Software Logistics Network Optimization Software Modeling Software Supply Chains 127

Logistics Bureau

NOVEMBER 14, 2018

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. The tools for determining Cost To Serve include standard spreadsheet applications, such as MS Excel, and network design modeling software.

Purchasing Skills 93

Purchasing Skills Cost Reduction Supply Chain Planning Software Supply Chain Design Software 93

Freightos

JUNE 17, 2024

In the first issue of our AI popup newsletter series, Matt Motsick, CEO of Rippey AI and a long-time logistics technology leader, explores buying or building AI models. Focus on Innovation : By outsourcing the underlying AI technology, companies can focus more on innovation and applying AI in unique ways within their business models.

Modeling Software 119

Modeling Software Optimization Software Logistics Network Optimization Software Cost Reduction 119

Logistics Bureau

DECEMBER 6, 2024

Looking to real-life examples for inspiration, we can ask, ‘Who does reverse logistics well?’ ’ Companies like Sears, Dell, and Zappos are often pointed to as models to follow for reverse logistics. IT vendor Dell, for example, handles requests for returns via its support organisation.

Reverse logistics 74

Reverse logistics Cost Reduction Vendor Strategies Inventory Reduction 74

Logistics Viewpoints

SEPTEMBER 19, 2024

Additionally, software vendors continuously invest in tuning the performance of their algorithms and models. For example, running a batch process that now takes 8 hours instead of 12 does not translate into supply chain agility. Planners spend considerable time preparing scenario planning and not the actual analysis.

Supply Chain Planning Software 119

Supply Chain Planning Software Scenario Planning Supply Chain Software Supply Chains 119

The Lean Thinker

FEBRUARY 4, 2021

We get into semantic arguments about “problem solving” as somehow different from “root cause analysis” and how the Improvement Kata is somehow distinct, again, from those activities. Nevertheless, you have to work diligently to see problems as they occur, respond to them, dig into causes (root cause analysis anyone?)

Modeling Software 195

Modeling Software Optimization Software Analysis Tools 195

EazyStock

JUNE 18, 2019

If you’re wondering what is the best way to manage inventory with hundreds or even thousands of SKUs, you’ve found your answer: ABC analysis (otherwise known as ABC classification ). In this post, we’re going to discuss how you can classify your inventory into three ABC categories and introduce the concept of XYZ analysis.

Analysis 51

Analysis Inventory Reduction Inventory Procurement Solutions 51

Logistics Viewpoints

JUNE 8, 2022

I tend to use time series analysis as an anchor to my forecast, as I suspect many of you do. For example, in a recent CNBC interview Ben Bernanke noted that the Federal Reserve likely looked at the unemployment rate and total employment in early 2021 and inferred that there was plenty of slack in the labor market. Final Word.

Scenario Planning 123

Scenario Planning Analysis Events Purchasing Skills 123

Log-hub

FEBRUARY 12, 2025

The Future of Matrix-Based Optimization The Future of Matrix-Based Optimization AI and machine learning (ML) take matrix-based analysis to new heights. Read More Automation: Driving Efficiency with Matrices Automation: Driving Efficiency with Matrices Automation, powered by matrix-based models, enables smooth-running supply chain operations.

Supply Chain Planning Software 52

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Optimal Sourcing 52

Stord

JANUARY 7, 2019

The Wall Street Journal’s recent analysis of retailers’ logistical challenges highlights the appeal and success of alternative solutions to traditional warehousing in retail and beyond. All of these factors are stressors on traditional warehousing models. We’ve rounded up the key insights from the article below.

Price Reduction 78

Price Reduction Inventory Reduction Supply Chain Planning Software Supply Chain Software 78

Logistics Viewpoints

SEPTEMBER 19, 2023

The bullwhip effect is one example of this disruptive effect, when small changes in demand cause huge demand spikes downstream. Table 1 describes a few examples of these types of risks. Examples of disruptive risks are suppliers going out of business or shipwrecks that result in the loss of cargo containers.

Supply Chain Design Software 117

Supply Chain Design Software Supply Chain Design Supply Chain Planning Software Supply Chain Software 117

Logistics Viewpoints

MARCH 8, 2021

For example, go to the Walmart, turn right, and it is the third house on the left. On top of this cost network model, the solution allows for various scenarios to be kept and compared. LLamasoft has developed a supply chain design maturity model. This maturity model is quite detailed. Logistics can be a challenge.

Supply Chain Design Software 127

Supply Chain Design Software Supply Chain Planning Software Supply Chain Transformation Supply Chain Software 127

3PL Links

NOVEMBER 19, 2024

It is a model that is still very common in small companies, which only need support in the transactional phase. Data analysis and application of artificial intelligence are some examples of practices expected at this level of logistics outsourcing. It is more common in giant companies with a large capacity and breadth.

4PL 62

4PL Optimal Sourcing 3PL Sourcing Strategies 62

Ship Monk

FEBRUARY 9, 2024

Accurate data forecasting requires accurate data, robust data analysis tools, and people who understand how to use them. For example, if you’re introducing a new product and there are no similar products to draw historical data from, qualitative research is a must to reduce risk.

eCommerce 105

eCommerce Operations Inventory Reduction Modeling Software 105

Logistics Viewpoints

JULY 17, 2024

Some of the key measurements that are important to the company include MTBF (mean time between failures/stops), average uptime, MTTR (mean time to repair), and other real-time data and analysis information. For example, most stops are minor stops, and an average production line stops 20,000 times per year.

Digital 125

Digital Procurement Analytics Manufacturing Procurement Modeling Software 125

Logistics Bureau

MAY 31, 2021

For example: Compared to selling a product in-store, the cost to deliver that same item as a small parcel can be several times higher. The above examples reflect costs that include picking, packing, and last-mile delivery. The list above is not exhaustive but merely provides some notable examples of cost drivers.

Cost Reduction 98

Cost Reduction Purchasing Skills Expense Reduction Inventory Reduction 98

Logistics Viewpoints

FEBRUARY 22, 2022

Here are just a few examples of leveraging data to enable modern transportation orchestration: Do you need rapid and accurate evaluation of different transportation options? How about your need for a seamless corporate transportation analysis? Analyze and track your carbon footprint using logistics data.

Data 101

Data Logistics Network Optimization Software Supply Chain Planning Software Cost Reduction 101

Logistics Viewpoints

AUGUST 15, 2024

By modeling these potential disruptions, it becomes possible to understand the impact and develop the right alternative response plans to mitigate the impact. The digital twin, for example, can be subjected to numerous stress tests that mimic real-world conditions and observe how different variables interact and impact the entire network.

Scenario Planning 122

Scenario Planning Supply Chain Planning Software Sourcing Strategies Optimal Sourcing 122

SYSPRO Smarter ERP

NOVEMBER 8, 2021

For example: Japan earthquake 2016. Many of the current (pre-Covid) business models focused on partnering with suppliers and “make them part of your business” because the closer they are to the business the better they can understand the issues and respond. Supply chain disruptions. US-China trade war 2018. Suez Canal blockage 2021.

Supply Chain Planning Software 116

Supply Chain Planning Software Supply Chain Software Supply Chains Sourcing Strategies 116

Logistics Viewpoints

APRIL 4, 2024

Another example of data normalization is accounting for lost sales due to stockouts or waste of perishable products due to overstocking of inventory. For example, the demand for the Chocolate Peanut Butter Cup will behave much more similarly to the flavor of Chocolate than Rainbow Sherbert. Wouldn’t it be cool to know within minutes?

Scenario Planning 124

Scenario Planning Supply Chain Planning Software Supply Chain Software Supply Chain Design Software 124

TransAudit

FEBRUARY 13, 2025

Use tools to automate root cause analysis and reduce dependency on manual reporting. Examples include: Labor Planning: Optimize workforce productivity based on real-time data. Inventory Forecasting: Use predictive models to anticipate demand spikes. Process Automation: Automate supplier communications to prevent delays.

Supply Chain Software 59

Supply Chain Software Supply Chain Planning Software Supply Chains Inventory Reduction 59

Talking Logistics

MARCH 27, 2019

He cites as current examples capacity issues, the need for efficient supply chains, which Jim says, “are great until they break,” and customer empowerment, such as customers’ desire to have their orders delivered next day. Along with that, a key capability is ‘what if’ analysis. Types of optimization.

Optimization Software 119

Optimization Software Optimization Modeling Optimization Supply Chain Planning Software 119

Logistics Viewpoints

AUGUST 14, 2024

Processing and Analysis: Each vehicle processes received data to assess potential collision risks. For example, if a vehicle ahead brakes suddenly, the following vehicle receives an instant alert, enabling timely braking and preventing rear-end collisions. Real-time data exchange allows vehicles to react swiftly to hazards.

Modeling Software 120

Modeling Software Efficiency Optimization Software Logistics Network Optimization Software 120

Logistics Viewpoints

DECEMBER 14, 2023

Organizations must take the following steps to bring departments together to create truly resilient and sustainable supply chains: Leverage external data to sense market shifts Look to external causal factors and forecasting models to identify market shifts. Impact ESG at the point of decision Move from passive reporting to active impact.

Supply Chain Design Software 128

Supply Chain Design Software Supply Chain Planning Software Supply Chain Design Optimal Sourcing 128

AIMMS

JULY 15, 2019

A great example of this is one of our customers, a Europ ean chemical company with $300M in annual revenue who is growing fast and was ready to move from spreadsheets to something more robust. The extensively used National Energy Model is just one of them. . A focus on Digital Twins .

Supply Chain Planning Software 107

Supply Chain Planning Software Scenario Planning Modeling Software Gartner 107

Logistics Viewpoints

FEBRUARY 20, 2024

This article describes how to incorporate simulation techniques into optimization, build a stochastic optimization model, and end up with a more resilient supply chain model. Supply Chain Network Design Components SCND team’s first goal is to build a baseline model that represents the current state of the business.

Supply Chain Design Software 122

Supply Chain Design Software Sourcing Strategies Supply Chain Design Inventory Reduction 122

3PL Links

DECEMBER 3, 2023

Predictive Analysis in Logistics and Supply Chain: How to Apply | Image source: Pexels In logistics, predictive analysis is simply the process of identifying and forecasting patterns, trends, and behaviors in both human and machine learning approaches, data, and algorithms. This ratio increased to 54% in 2022.

Supply Chain Planning Software 48

Supply Chain Planning Software Optimal Sourcing Analysis Supply Chain Software 48

Trinity Logistics

AUGUST 22, 2024

Common Forms of AI Computer Vision Face recognition is one example of Computer Vision. Common applications include facial recognition, object detection, medical image analysis, and autonomous vehicles. Machine Learning (ML) Predictive analytics is one example of Machine Learning. Deep Learning is a subset of machine learning.

Modeling Software 118

Modeling Software Optimization Software Optimal Sourcing Logistics Network Optimization Software 118

EazyStock

JUNE 18, 2019

If you’re wondering what is the best way to manage inventory with hundreds or even thousands of SKUs, you’ve found your answer: ABC analysis (otherwise known as ABC classification ). In this post, we’re going to discuss how you can classify your inventory into three ABC categories and introduce the concept of XYZ analysis.

Analysis 40

Analysis Inventory Reduction Inventory Procurement Solutions 40

Logistics Viewpoints

AUGUST 29, 2024

Traditional slotting solutions require customized models, extensive engineering, measurement, and data collection. Dynamic Slotting involves the use of software and algorithms to perform velocity and affinity analysis, in a real-time, ever adapting fashion, through the use of artificial intelligence and machine learning.

Waste Reduction 117

Waste Reduction Optimal Sourcing Sourcing Strategies Resource Reduction 117

EazyStock

JANUARY 31, 2022

Inventory Management KPIs for Effective Inventory Analysis. But with a wealth of inventory KPIs available to choose from to include in your inventory analysis methods, which ones are the most important to ensure you’re on the right track to optimum efficiency? Managing inventory is a complex business. Inventory turnover ratio.

Inventory Reduction 52

Inventory Reduction Inventory Analysis Optimization Software 52