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. By contrast, other supply chain optimization problems often require data that resides in disparate systems, some of which may be controlled by other entities or may not be accessible in real-time.

Supply Chain Planning Software 187

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

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 21, 2022

A network design model figures out where factories and warehouses should be located. The key solutions are demand forecasting/inventory optimization, supply planning, and network design. Each time horizon usually has its own model associated with it. Supply and network design models are constraint-based models.

Supply Chain Planning Software 171

Supply Chain Planning Software Scenario Planning Supply Chain Design Software Supply Chain Software 171

Supply Chain Brain

AUGUST 31, 2024

This eBook provides customer examples, actionable strategies and highlights real-world benefits such as improved inventory turnover and reduced production costs. Explore this exclusive resource and gather ideas on transforming your supply chain into a model of sustainability and innovation.

Inventory Reduction 104

Inventory Reduction Resource Reduction Cost Reduction Scenario Planning 104

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 1, 2024

Top Challenges Faced by Companies: Customer Preferences: Example: An online fashion retailer faces the challenge of constantly changing customer preferences. Supply side shifts: Example: A global coffee manufacturer experiences disruptions due to a natural disaster affecting one of its key suppliers in Brazil due to dry weather.

Supply Chain Design Software 163

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

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 Optimization Modeling Inventory 98

Logistics Viewpoints

JANUARY 21, 2021

ML looks into historical data (for example, transit time statistics of carriers) and data from impactful external factors (such as port congestion, weather or holidays) and uses this information to develop more accurate transit time estimates. 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 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

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

AUGUST 23, 2021

Those include trust issues, the operating model, and technology. The LevaData solution, for example, speeds up sourcing significantly. PO accepts, for example, are not real-time messages because a supplier needs time to figure out whether they can deliver the number of items requested by the requested delivery date.

Collaboration 170

Collaboration Supply Chain Planning Software Optimal Sourcing Modeling Software 170

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. More recently, many other cases have emerged.

Supply Chain Planning Software 167

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

Logistics Viewpoints

JANUARY 4, 2021

For example, using a 5G network, a parts tote could communicate that the tote is 80% depleted for this SKU which would trigger a re-order of the necessary parts. Digital Twin Model Builders. Infor makes the point that a graph database’s ability to infer relationships helps to keep the model up to date.

Supply Chain Planning Software 204

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

AIMMS

SEPTEMBER 28, 2020

In the report, you will find capabilities across five categories: technologies, competencies, frameworks, operating model strategies, and organizational models. These capabilities include Machine Learning and Prescriptive Analytics , and organizational models like Agile Teams. What to prioritize. Network Design.

Supply Chain Design Software 166

Supply Chain Design Software Supply Chain Planning Software Supply Chain Software Supply Chain Design 166

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

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

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. Lead times, for example, are a critical form of master data for planning purposes.

Supply Chain Planning Software 178

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

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 68

Modeling Software Supply Chain Design Software Supply Chain Planning Software Optimization Software 68

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

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! Let’s continue with this analogy.

Supply Chain Design Software 119

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

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

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

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

Log-hub

AUGUST 14, 2024

3 min read Supply chain optimization is crucial for businesses to enhance efficiency, reduce costs, and improve customer satisfaction. Here are some real-life examples of successful supply chain optimization across various industries. Sustainability and resource management are also critical concerns.

Supply Chain Planning Software 40

Supply Chain Planning Software Supply Chain Software Optimization Software Inventory Reduction 40

Logistics Bureau

NOVEMBER 28, 2024

For example, what is meant by quality? For example, you could make use of a double hub-and-spoke approach to distribution. With this distribution model, your products would be shipped straight from the production site to the network of urban warehouses, and from there to your end-customers. Quality or Cost: What does it Mean?

Supply Chain Planning Software 80

Supply Chain Planning Software Supply Chain Software Supply Chains Optimization Software 80

AIMMS

FEBRUARY 1, 2021

To do this, we built two representative models of a business. When the models are built, running scenarios with these large businesses can be a lot of fun. We relaxed constraints to allow the model to add (and fund) more distribution centers and also close distribution centers, where they didn’t support an optimized solution.

Supply Chain Design Software 116

Supply Chain Design Software Supply Chain Software Supply Chain Design Optimization Software 116

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

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

JULY 12, 2022

For example, do all customers need to be serviced equally regardless of size? Concepts like customer stratification and hybrid delivery models can also dramatically improve delivery productivity and minimize the impact of elevated fuel prices. This approach will help to minimize fleet size and better optimize delivery distance.

Cost Reduction 172

Cost Reduction Material Savings Resource Reduction Price Reduction 172

Logistics Viewpoints

NOVEMBER 11, 2024

Developing Models : Building and scaling AI models in a manner that ensures they are reliable and understandable. These new data fabrics will need to go beyond traditional enterprise data fabrics, which are optimized for cloud environments, to be able to embrace complex supply chain data.

Supply Chain Planning Software 147

Supply Chain Planning Software Modeling Software Optimization Software Supply Chain Software 147

Logistics Viewpoints

APRIL 22, 2024

Causal AI utilizes sophisticated causal models to make decisions on multiple levels. A causal model graph represents a network of interconnected entities and relationships, enabling the system to understand how various factors influence each other to create an optimized outcome. BULK is one of those Influencing Attributes.

Optimal Sourcing 152

Optimal Sourcing Supply Chain Planning Software Modeling Software Optimization Software 152

Logistics Viewpoints

JANUARY 22, 2024

Omnichannel Retailers Leverage Optimization Historically, omnichannel software solutions were not capable of optimization. For an online order that needs to be delivered within 24 hours, for example, the rule might state that the goods should be shipped to the consumer from the closest location.

Supply Chain Software 157

Supply Chain Software Supply Chains Optimization Software Modeling Software 157

ShipLilly

JUNE 23, 2021

There are examples of artificial intelligence being used to achieve these goals. For example, an online movie platform can prepare a recommended list for users based on their profile and previous behavioral patterns. Function 2: Optimizing manufacturing processes. This is done using sensors that work automatically.

Optimal Sourcing 87

Optimal Sourcing Supply Chain Planning Software Supply Chain Software Supply Chain Design Software 87

Logistics Viewpoints

MAY 8, 2023

Meanwhile, inventory optimization and production scheduling are more of a black box. Customers that implement inventory optimization or production scheduling and then turn it off, Mr. When the plan gets dropped to the plant, the plant can’t produce that quantity of items nearly as quickly as thought. Here the model gets more complex.

Supply Chain Planning Software 131

Supply Chain Planning Software Scenario Planning Optimal Sourcing Production 131

The Lean Thinker

OCTOBER 8, 2019

In software development compromises must be made between optimizing the interface and workflows for various users. By identifying the primary persona, the team says “This person’s use of the software will be optimized.” Who Are You Optimizing Your Improvements For? First, it establishes priority of effort.

Buyer Training 210

Buyer Training Optimization Software Modeling Software Optimization Modeling 210

Logistics Viewpoints

MARCH 8, 2021

For example, go to the Walmart, turn right, and it is the third house on the left. The solution can answer questions like where should new production or distribution capacity be located to optimally accommodate anticipated growth in demand? In 2018, they implemented a LLamasoft inventory optimization solution.

Supply Chain Design Software 170

Supply Chain Design Software Supply Chain Planning Software Supply Chain Transformation Supply Chain Software 170

AIMMS

JUNE 5, 2019

Using Gartner’s supply chain CORE model (Configure, Optimize, Respond & Execute) you may find that when hitting the Execute time horizon, there’s simply no time for a human to make a great decision. An interesting example of this is the capability AIMMS has provided in the utility grid business for the last 15 years.

Supply Chain Planning Software 120

Supply Chain Planning Software Optimization Software Supply Chain Software Scenario Planning 120