Logistics Viewpoints

JULY 29, 2021

Machine learning is a process by which learning algorithms are applied to large sets of data to create predictive models. First, DCs are a controlled environment for collecting and aggregating historical and real-time data – and data is a key to effective AI. AI-Based Warehouse Optimization Examples.

Supply Chain Planning Software 187

Supply Chain Planning Software Optimization Software Supply Chain Design Software Modeling Software 187

Logistics Viewpoints

AUGUST 29, 2024

In this article, we will delve into strategic ways for warehouse managers to eliminate waste, with a focus on not only optimizing the use of cartons and packing, but labor resources and warehouse space as well. One effective method to optimize packing is the standardization of carton sizes. Product slotting is a complex problem.

Waste Reduction 148

Waste Reduction Optimal Sourcing Sourcing Strategies Resource Reduction 148

Logistics Viewpoints

JANUARY 23, 2024

This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.

Supply Chain Planning Software 141

Supply Chain Planning Software Supply Chain Software Supply Chains Scenario Planning 141

Logistics Viewpoints

JUNE 29, 2021

In a prior post , I wrote about the various ways data is transforming global supply chains. Data is the raw fuel of digital transformation and the linchpin to accelerating industry collaboration, automation, predictive insights and so many more cutting-edge capabilities (including those yet to be invented). So, what is quality data?

Data 156

Data Supply Chain Design Software Supply Chain Planning Software Digital 156

Logistics Viewpoints

AUGUST 1, 2024

By embracing collaboration, real-time data, and a focus on sustainability, companies can build resilience, improve margins, and gain a competitive edge. Top Challenges Faced by Companies: Customer Preferences: Example: An online fashion retailer faces the challenge of constantly changing customer preferences.

Supply Chain Design Software 163

Supply Chain Design Software Supply Chain Planning Software Supply Chain Design Scenario Planning 163

Logistics Viewpoints

NOVEMBER 4, 2024

Optimization is used in supply planning, factory scheduling, supply chain design , and transportation planning. In a broad sense, optimization refers to creating plans that help companies achieve service levels and other goals at the lowest cost. Without accurate data, companies face the garbage in, garbage out problem.

Supply Chain Planning Software 167

Supply Chain Planning Software Supply Chain Design Software Optimal Sourcing Supply Chain Software 167

AIMMS

JANUARY 24, 2019

Today, the steel manufacturing leader has an ambitious digital transformation agenda and is leveraging AIMMS technology to optimize operations in its home country. I belong to this second division and work mostly on mathematical modeling, simulation and supply chain analytics. . I work for the analytics department within Tata Steel.

Optimal Sourcing 116

Optimal Sourcing Supply Chain Software Optimization Software Supply Chain Planning Software 116

Logistics Viewpoints

FEBRUARY 20, 2024

Optimization and simulation are the two main branches of SCND. Optimization accounts for over 90% of all work that is being done by SCND teams. 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 Design Software 153

Supply Chain Design Software Sourcing Strategies Supply Chain Design Inventory Reduction 153

Logistics Viewpoints

AUGUST 23, 2021

Companies “seeking to increase data sharing and collaboration across their supply networks have faced three principal hurdles.” Those include trust issues, the operating model, and technology. The LevaData solution, for example, speeds up sourcing significantly. The remainder of this article will focus on the technology issues.

Collaboration 170

Collaboration Supply Chain Planning Software Optimal Sourcing Modeling Software 170

Logistics Viewpoints

JANUARY 21, 2021

Machine learning (ML) techniques can be applied to provide more accurate transit information and estimated arrival times (ETAs) by analyzing the historical shipment data in your transportation management systems. The model learns continuously and can adapt to changing conditions in the network.

Inventory Reduction 213

Inventory Reduction Supply Chain Planning Software Cost Reduction Logistics Network Optimization Software 213

Logistics Viewpoints

JUNE 10, 2024

The RISE with SAP offering includes an AI-powered cloud ERP that’s managed and optimized by SAP. When SAP refers to AI, it refers to generative AI based on large language models or AI based on machine learning. I might tell Alexa, for example, “Play the station Smooth Jazz!” This is a public Cloud solution.

SAP 166

SAP Supply Chain Planning Software Supply Chain Software Optimization Software 166

Logistics Viewpoints

JUNE 15, 2021

Optimize automation/robotics alongside human workers. As a DC planning tool, machine learning represents an alternative to traditional engineering and process modeling. For example, the traditional approach to workforce planning is to use an engineered labor standards system. Engineered Standards vs. Machine Learning.

Optimal Sourcing 147

Optimal Sourcing Supply Chain Planning Software Modeling Software Optimization Software 147

Logistics Viewpoints

JANUARY 4, 2021

The theory is that as more and more devices throughout the supply chain and manufacturing process become part of the ‘Internet of Things,’ they will produce an incredibly rich data stream that will send signals in real-time to trigger a wide variety of events. Digital Twin Model Builders. PlanIQ includes Amazon Forecast.

Supply Chain Planning Software 204

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Modeling Software 204

Logistics Viewpoints

FEBRUARY 22, 2022

Meeting today’s logistics challenges of the three C’s – customer service, carbon, and cost – companies are not just looking at gathering data, but also how to better interpret and understand this data, and then use it to drive additional value. Analyze and track your carbon footprint using logistics data.

Data 113

Data Logistics Network Optimization Software Supply Chain Planning Software Cost Reduction 113

Logistics Bureau

OCTOBER 10, 2022

Before we look at the barriers to optimal inventory and the possible ways to eliminate or overcome them, let’s be clear on what inventory optimisation means—because misconceptions do abound. For example, you can optimise for cost, profit, or service, but not for all of them. Service as a Barrier to Optimal Inventory.

Inventory Reduction 124

Inventory Reduction Inventory Optimization Modeling Optimization Software 124

Logistics Viewpoints

FEBRUARY 28, 2022

Further, while artificial intelligence helps solve certain types of problems, Jay Muelhoefer – the chief marketing officer at Kinaxis pointed out – optimization and heuristics work better for other types of planning problems. Artificial intelligence is beginning to be used to update the data.

Supply Chain Planning Software 178

Supply Chain Planning Software Supply Chain Design Software Optimal Sourcing Supply Chain Software 178

AIMMS

APRIL 11, 2018

The first product of this partnership is TacticalOps, a Planning & Optimization solution for Food Manufacturers. I spoke with Luis Pinto, Partner at UniSoma, to understand the need for new planning and optimization solutions in the global food supply chain. I’ve seen the attitude towards optimization evolving yes.

Optimization Software 97

Optimization Software Supply Chain Planning Software Optimization Modeling Optimization 97

Talking Logistics

MARCH 27, 2019

Optimization is a ubiquitous term in the supply chain and logistics industry. We all talk about how we need to optimize our operations. In practice, however, relatively few companies are using optimization technology, particularly in transportation. Why is transportation optimization key today? Types of optimization.

Optimization Software 105

Optimization Software Optimization Modeling Optimization Supply Chain Planning Software 105

SYSPRO Smarter ERP

SEPTEMBER 27, 2021

Data is a crucial component of digital transformation in the manufacturing sector. However, data in itself is not a value driver. Many manufacturers aren’t maximizing the value from enriching data and missing out on opportunities to grow, optimize or manage risk. Create new revenue models.

Manufacturing Procurement 105

Manufacturing Procurement Data Modeling Software Optimization Software 105

Logistics Viewpoints

FEBRUARY 8, 2021

Led some supply chain planning supplier to create new digital twins – new supply chain models – that model this supply chain much deeper than it had been previously modeled. A more granular model means better planning – planning that more fully reflects the constraints that exist in these supply chains.

Supply Chain Planning Software 184

Supply Chain Planning Software Supply Chain Software Supply Chains Scenario Planning 184

IoT World Today

MAY 21, 2020

Increasing supply chain data visibility is a priority for logistics organizations looking to improve resilience. Supply chain recovery hinges on incorporating robust data analytics and other data-driven tools into business operations to increase efficiency, reduce costs and proactively manage risk.

Supply Chain Planning Software 145

Supply Chain Planning Software Supply Chain Software Supply Chains Sourcing Strategies 145

EazyStock

OCTOBER 20, 2020

Inventory Control Techniques that use Stock Optimization Best Practices. So we thought we’d focus on the lesser known topic of ‘stock optimization’ – this is an inventory control technique that’s becoming more popular with inventory managers to improve the efficiency of their supply chain. What is stock optimization?

Inventory Reduction 98

Inventory Reduction Optimization Software Inventory Optimization Modeling 98

FreightWaves SONAR

MARCH 9, 2021

Data for data’s sake lacks value, especially in the view of the supply chain. And across the market, submitted data becomes rapidly outdated. And in some industries, outdated data can have disastrous consequences. For instance, take the value added by more accurate data in the health industry.

Data 98

Data Reliability Supply Chain Planning Software Trucking 98

Logistics Viewpoints

MAY 22, 2023

If you have been through this process at least once, you already have a good idea of what supply chain design is about: optimization. When most people hear the word “optimization,” they immediately think about minimizing costs. But optimization is much more than that! First comes the data and how well we understand it.

Supply Chain Design Software 119

Supply Chain Design Software Supply Chain Design Supply Chain Software Modeling Software 119

Logistics Viewpoints

MAY 26, 2022

It’s time to focus on how we innovate and optimize our businesses and operations in this permanently altered world. There are lively debates about the meaning and prioritization of scale, globalization, outsourcing, and inventory optimization. Changes in our lives, economies and supply chains are ubiquitous and well embedded now.

Supply Chain Software 173

Supply Chain Software Optimal Sourcing Supply Chain Design Software Logistics Network Optimization Software 173

Logistics Viewpoints

AUGUST 26, 2024

Blue Yonder, for example, has created a microservice for transportation optimization. Some clients may not want to buy a full-blown transportation management system, so Blue Yonder is willing to sell them a transportation optimization component and layer it on a legacy TMS or control tower.

Supply Chain Planning Software 152

Supply Chain Planning Software Optimization Software Events Modeling Software 152

Logistics Viewpoints

APRIL 29, 2021

Many companies are achieving this transformation by adopting modular, elastic DC technologies – including AI and robotics – that provide continuous warehouse optimization without replacing their current monolithic and static warehouse systems. Those systems and processes were designed to serve the current business model for 10 years or more.

Optimal Sourcing 96

Optimal Sourcing Optimization Software Supply Chain Design Software Supply Chain Planning Software 96

Logistics Viewpoints

APRIL 22, 2024

It analyzes new and historical order data, customer preferences, and transactions. GP describes Causal AI as a mixture of Knowledge AI and Data AI. Data AI empowers the system to analyze vast amounts of data, identify patterns, and generate probabilistic outcomes in near real-time. It’s a different way of working.”

Optimal Sourcing 152

Optimal Sourcing Supply Chain Planning Software Modeling Software Optimization Software 152

Logistics Viewpoints

JULY 10, 2024

ARC defines supply chain planning (SCP) products as including supply planning, demand planning/inventory optimization, and network planning. Supply Planning Supply planning systems create models that allow a company to understand capacity and other constraints it has in producing goods or fulfilling orders.

Supply Chain Planning Software 156

Supply Chain Planning Software Scenario Planning Supply Chain Design Software Supply Chain Software 156

Logistics Bureau

AUGUST 16, 2021

For example, signs that a company is moving in the right direction, talent-wise, might include: The deployment of staff in new roles, absent the traditional supply-chain-centric titles and instead, hybridizing across data-science and logistics skill sets. Bringing Production Closer to the Customer.

Supply Chain Planning Software 113

Supply Chain Planning Software Modeling Software Supply Chain Software Supply Chains 113

Logistics Viewpoints

MARCH 4, 2021

Supply chain planning involves interaction with different types of information based on internal and external data sources. These data sources are often spread across multiple platforms and come in various formats. Planners spend their precious time collecting and synthesizing the data to drive insights.

Supply Chain Planning Software 164

Supply Chain Planning Software Scenario Planning Supply Chain Software Optimal Sourcing 164

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. <br>- Use external data for forward-looking decisions.

Supply Chain Design Software 155

Supply Chain Design Software Supply Chain Planning Software Supply Chain Design Optimal Sourcing 155

Logistics Viewpoints

MAY 11, 2023

How the digital twin concept drives benefit By using advanced analytics and machine learning algorithms, digital twins can provide real-time insights and recommendations to optimize operations, reduce costs, and increase productivity. Physical change (i.e., changing the structure of the warehouse, modifying processes, etc.)

Optimization Software 159

Optimization Software Supply Chain Design Software Modeling Software Digital 159

Logistics Viewpoints

SEPTEMBER 19, 2023

Supply chain executives must evolve from cost and service as the key objectives for optimal demand-supply balancing towards the “quadfecta” of cost, service, resiliency, and sustainability. The bullwhip effect is one example of this disruptive effect, when small changes in demand cause huge demand spikes downstream.

Supply Chain Design Software 154

Supply Chain Design Software Supply Chain Design Supply Chain Planning Software Supply Chain Software 154

Logistics Viewpoints

APRIL 19, 2023

Second, what is autonomous planning in supply chain, and what are some practical examples? Autonomous Planning in Supply Chain At its core, autonomous supply chain planning entails making decisions to optimize the delivery of goods and services from supplier to customer without the need for human intervention.

Supply Chain Planning Software 147

Supply Chain Planning Software Optimal Sourcing Scenario Planning Manufacturing Procurement 147

Ship Monk

FEBRUARY 9, 2024

The process usually includes analyzing historical data for seasonal trends and product performance, as well as gathering current data on competitors, marketplace trends, future marketing plans and promotions. All of them rely on data, whether you’re using historical data or new findings gathered from consumer research.

eCommerce 105

eCommerce Operations Inventory Reduction Modeling Software 105

Logistics Viewpoints

MAY 9, 2024

Another example is commuting. A probabilistic approach delivers a new level of actionable insights based on key factors and the impact of each factor driven by more relevant data to support better decision-making. A basic form of probabilistic modeling has long been used in demand planning. Why Probabilistic, Why Now?

Supply Chain Planning Software 165

Supply Chain Planning Software Scenario Planning Supply Chain Software Modeling Software 165