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 115

Inventory Reduction Inventory Optimization Modeling Optimization Software 115

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 162

Supply Chain Design Software Supply Chain Planning Software Supply Chain Design Scenario Planning 162

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 166

Supply Chain Planning Software Supply Chain Design Software Optimal Sourcing Supply Chain Software 166

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

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 151

Supply Chain Design Software Sourcing Strategies Supply Chain Design Inventory Reduction 151

3PL Links

NOVEMBER 12, 2024

Optimize Inventory Management Inventory often represents one of the largest expenses in a supply chain. By leveraging predictive analytics and a just-in-time (JIT) inventory model, you can maintain optimal stock levels, which reduces storage costs and cuts down on waste from unsold items.

Cost Reduction 62

Cost Reduction Material Savings Supply Chain Software Supply Chain Planning Software 62

Log-hub

MAY 22, 2024

The concept of multi-tier supply chain analytics and optimization has become a critical component for companies aiming to maintain competitive advantage, ensure efficiency, and respond rapidly to market changes. AI can play an important role in inventory optimization. Here, standardization plays a vital role.

Optimal Sourcing 52

Optimal Sourcing Optimization Software Material Savings Supply Chain Planning Software 52

Log-hub

MAY 22, 2024

The concept of multi-tier supply chain analytics and optimization has become a critical component for companies aiming to maintain competitive advantage, ensure efficiency, and respond rapidly to market changes. AI can play an important role in inventory optimization. Here, standardization plays a vital role.

Optimal Sourcing 52

Optimal Sourcing Optimization Software Material Savings Supply Chain Planning Software 52

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

AIMMS

NOVEMBER 12, 2015

Optimization is a form of advanced analytics that helps you solve complex decision problems, enabling you to make the best use of your business’ limited resources.* You can do all of this and more with an optimization technology. JBS: A case for integrating optimization in S&OP and IBP. Source: Oliver Wight.

Optimal Sourcing 62

Optimal Sourcing Optimization Modeling Optimization Software Modeling Software 62

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 150

Supply Chain Planning Software Optimization Software Events Modeling Software 150

Stord

NOVEMBER 30, 2022

Atlanta, GA, November 16, 2022 – Stord , the Cloud Supply Chain leader, today announced Stord Parcel , a carrier-agnostic last-mile delivery solution with advanced modeling to automatically choose the most efficient and cost-effective carrier and service level that meets the expected delivery date for all packages.

Optimization Software 60

Optimization Software Optimization Modeling Optimization Negotiating Skills 60

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 118

Supply Chain Design Software Supply Chain Design Supply Chain Software Modeling Software 118

AIMMS

JUNE 16, 2020

How are companies leveraging scenario modeling for network design and optimization ? The good news is many of the survey’s respondents recognize the potential of more advanced optimization solutions. In the context of disruptions like COVID-19, scenario modeling can make considerable difference – Tweet this.

Scenario Planning 71

Scenario Planning Supply Chain Design Software Supply Chain Design Optimization Modeling 71

Globalior

APRIL 20, 2021

Optimizing the supply chain can mean many things and be done in many ways such as improving the picking processes, decreasing the processing time for shipping goods, improving inventory management , and much more. Supply chain optimization can be strategic or operational in nature. Ways to improve performance in the supply chain: 1.

Supply Chain Design Software 52

Supply Chain Design Software Supply Chain Software Optimization Software Optimization Modeling 52

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. . When did you join Tata Steel? .

Optimal Sourcing 116

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

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 101

Optimization Software Optimization Modeling Optimization Supply Chain Planning Software 101

Bringg

MARCH 24, 2021

Supply chain optimization ensures a smoother process and a more successful business model focusing on efficiency and profit. What is supply chain optimization? . Optimizing this process allows it to function at peak efficiency. A good example of such a strategic decision could be choosing a warehouse’s location.

Optimal Sourcing 62

Optimal Sourcing Supply Chain Planning Software Supply Chain Software Supply Chain Design Software 62

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 121

Supply Chain Planning Software Modeling Software Optimization Software Supply Chain Software 121

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 165

SAP Supply Chain Planning Software Supply Chain Software Optimization Software 165

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

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 170

Supply Chain Planning Software Scenario Planning Supply Chain Design Software Supply Chain Software 170

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 188

Supply Chain Planning Software Optimization Software Supply Chain Design Software Modeling Software 188

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 102

Supply Chain Planning Software Modeling Software Supply Chain Software Supply Chains 102

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 155

Supply Chain Planning Software Scenario Planning Supply Chain Design Software Supply Chain Software 155

Conger

FEBRUARY 22, 2023

Looking for a list of all CLARK forklift models? Because we’ve put together the complete list - over 80 CLARK forklift models (including old models)! Besides the actual models, you’ll also learn key information about each, like: Lifting capacities Fuel types Applications Key features, advantages, and benefits Let’s dive in!

Modeling Software 52

Modeling Software Optimization Modeling Modeling Manufacturing Procurement 52

Logistics at MPEPS at UPV

MARCH 19, 2021

This way of work optimizes space utilization and guarantee the maximum throughput, aiming at the automated management of internal logistics from the automated warehouse towards the production departments and vice versa. Coca-Cola supply chain partners – a global network model.

Supply Chain Software 52

Supply Chain Software Optimal Sourcing Examples Warehousing 52

GlobalTranz

JULY 14, 2021

Transportation management optimization can help, provided shippers know a few things about its value and where to start. Transportation Management Optimization #1: Shipment Pooling. Transit time should not be impacted in this model. Transportation Management Optimization #2: Shipment Aggregation. Continuous Moves.

Optimization Modeling 62

Optimization Modeling Optimization Software Optimization Material Savings 62

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 145

Optimal Sourcing Supply Chain Planning Software Modeling Software Optimization Software 145

AIMMS

NOVEMBER 12, 2015

Optimization is a form of advanced analytics that helps you solve complex decision problems that involve conflicting objectives and constraints, enabling you to make the best use of your business’ limited resources. You can do all of this and more with an optimization technology. Source: Oliver Wight. But how does it work in practice?

Optimal Sourcing 70

Optimal Sourcing Optimization Modeling Optimization Software Modeling Software 70

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

MTS Logistics

OCTOBER 29, 2024

Predictive analytics, fueled by vast datasets including historical sales, market trends, and weather patterns, enables businesses to optimize inventory levels with precision, reducing overstock or shortages and ensuring customer satisfaction through accurate demand forecasting. AI’s role in sustainability is particularly noteworthy.

Optimal Sourcing 79

Optimal Sourcing Supply Chain Planning Software Logistics Network Optimization Software Optimization Software 79

Ship Monk

FEBRUARY 9, 2024

A powerful order and inventory management system can track inventory levels in real time, help identify short and long-term trends, automate critical re-order points, optimize order size and cadence , generate customized reports and so, so much more. The amount of data available usually depends on the maturity of the product.

eCommerce 104

eCommerce Operations Inventory Reduction Modeling Software 104

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 157

Optimization Software Supply Chain Design Software Modeling Software Digital 157

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 152

Supply Chain Design Software Supply Chain Design Supply Chain Planning Software Supply Chain Software 152

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 150

Optimal Sourcing Supply Chain Planning Software Modeling Software Optimization Software 150

AIMMS

JUNE 20, 2017

Supply Chain Network Optimization is key to running an efficient and profitable operation today. But while the market has changed, network optimization hasn’t actually advanced much since the 1990s. Yet, network optimization is still just a richer version of the 90’s experience. Network optimization tools aren’t future-proof.

Network Optimization Software 84

Network Optimization Software Optimization Software Supply Chain Software Modeling Software 84