ToolsGroup

AUGUST 29, 2017

There are supply chain and demand analytics models that describe the type of analytics being deployed (e.g., Now Gartner has created a different look at the issue by creating a five-stage maturity model for assessing the overall maturity level of your organization in using supply chain analytics. descriptive, prescriptive, etc.).

Modeling 189

Modeling Prescriptive Analytics Software Analytics Software Modeling Software 189

DELMIA Quintiq

JUNE 22, 2021

In this final blog on agility and why you should consider becoming an agilist to survive the new completion (of the continuous mention) of the application of enterprise decision management systems (EDMS) from Taylor and Raden cited in the first blog, I turn to the metric of agility and a new ROI metric of decision yield. The Takeaway.

Metrics 156

Metrics Supply Chain Planning Software Agile and Lean Supply Chain Optimization Software 156

ToolsGroup

JANUARY 9, 2018

A new report from Nucleus Research, Value Drivers of Single Model S&OP , concludes that the historical disconnect between planning and execution in S&OP is best bridged by a single unified data model that allows companies to continuously synchronize their strategic, tactical and execution plans.

Modeling 179

Modeling Scenario Planning Optimization Modeling S&OP 179

Supply Chain Shaman

NOVEMBER 21, 2024

Venture capitalists are high on Artificial Intelligence (AI), and over-exuberant professors with shiny new models are jockeying into position to get rich. Most of the answers will fall into categories: Engines: The improvement of the math in models to improve decisions. Building a software company is hard work. Ask for use cases.

Supply Chain Planning Software 365

Supply Chain Planning Software Modeling Software Modeling Supply Chain Network Software 365

Supply Chain Shaman

JANUARY 2, 2023

In traditional advanced planning applications (APS) for a manufacturing company, the forecasting model’s role is to generate a time-series forecast in the tactical horizon (outside of lead time). (An In traditional planning taxonomies, the tactical forecast is modeled, and the operational signal is calculated using consumption logic.

Supply and Demand 372

Supply and Demand Modeling Demand Planning Supply Chain Planning Software 372

Logility

AUGUST 5, 2021

This means routinely bringing together the C-suite, finance, supply chain, manufacturing, sales and marketing teams so everyone is seeing, working from and agreeing to an aligned plan that achieves optimal business outcomes. The SCOR model contains more than 150 key indicators that measure the performance of supply chain operations.

Metrics 130

Metrics Modeling Supply Chain Planning Software Supply Chain Design Software 130

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 279

Supply Chain Planning Software Supply Chain Planning Scenario Planning Modeling 279

Supply Chain Shaman

OCTOBER 11, 2023

The world of NoSQL unified data models is inconceivable to most. Software built on graph technology can model flow, but the transactional paradigms of historic practices hold development team’s hostage. The larger the global corporation, the more that the use of functional goals sub-optimizes growth, margin and inventory levels.

Supply Chain Planning Software 390

Supply Chain Planning Software Supply Chain Software Forecasting Software Supply Chain Network Software 390

DELMIA Quintiq

DECEMBER 28, 2020

Ultimately, what KPIs, as metrics and indicators derived from the set of plans are taken into account and prepared for each scenario. Here, planning solutions with optimization fit very well with this concept. Technology for Effective Planning. The best decision here takes into account the most viable option among all possible options.

Supply Chain Planning Software 296

Supply Chain Planning Software Scenario Planning Modeling Prescriptive Analytics Software 296

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 238

Supply Chain Planning Software Modeling Software Analytics Software Forecasting Software 238

Supply Chain Shaman

OCTOBER 29, 2014

The promise was the delivery of a decision support system that would allow the organization to optimize the relationships between cash, cost and customer service against the strategy. It was also the preference of the consulting partners because the projects were longer, more costly and better aligned with the consulting model.

Supply Chain Planning Software 311

Supply Chain Planning Software Modeling Demand Planning Software Optimization Software 311

Logistics Viewpoints

APRIL 21, 2021

What is the Perfect Delivery Metric? Improving on this metric will always involve a focus on people and processes, but often also includes implementing new, more robust, supply chain applications. The wrong metrics drive suboptimal behaviors and metrics can often be manipulated.

Sourcing Strategies 255

Sourcing Strategies How To Supply Chain Design Software Supply Chain Planning Software 255

Supply Chain Shaman

FEBRUARY 26, 2024

Can you describe the outside-in model? Based on the work with Georgia Tech, we are getting clear on which metrics matter by industry. As companies adopt a balanced scorecard, the functional metrics shift to a focus on reliability. Based on market conditions, the meat packer will shift to optimize the demand opportunity.

Modeling 207

Modeling Supply and Demand Optimal Sourcing Supply Chain Planning Software 207

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 254

Supply Chain Planning Software Supply Chain Planning Scenario Planning Modeling 254

Supply Chain Shaman

MARCH 21, 2022

The supply chain is a complex non-linear system with many constraints increasing the need for strategic thinking, better modeling, and organizational alignment. Yet, transportation optimization products focus on managing price, not constraints. Let’s start with the COVID impact. There is a need for an overhaul.

Modeling 284

Modeling Supply Chain Planning Software Supply and Demand Supply Chain Design Software 284

The Logistics & Supply Chain Management Society

AUGUST 14, 2023

With its ability to derive insights from vast amounts of data and derive insights, generative AI has emerged as a valuable tool to optimize supply chain operations. AI models have grown tenfold, representing a step-change in AI capabilities, creating new use cases across the supply chain. Generative AI is all about scale.

Optimal Sourcing 244

Optimal Sourcing Supply Chain Planning Software Supply Chain Software Modeling 244

Logility

MARCH 21, 2024

During this time, the same AI tools that underwrite new technologies have been key in improving efficiency and optimizing all areas of logistics and supply chain processes including forecasting, supply planning, inventory management, manufacturing, network optimization, and more. trillion parameters.

Optimal Sourcing 224

Optimal Sourcing Supply Chain Planning Software Modeling Software Inventory Reduction 224

Supply Chain Shaman

JUNE 29, 2014

This analysis needed to be completed monthly and fed to newer forms of inventory optimization technologies. The advanced Llamasoft user has a model on a computer tablet (Sherpa product) that enables the visualization of S&OP trade-offs within the S&OP meeting. Mergers and Acquisitions and the Management of Global Operations.

Supply Chain Design Software 268

Supply Chain Design Software Supply Chain Design Network Design Software Supply Chain Planning Software 268

Supply Chain Shaman

JANUARY 2, 2024

” As I write, I think about the ironies: We talk about the bullwhip, but we do not measure it or use it in driving optimization. We talk about the move from functional metrics to a balanced scorecard, but we don’t use a balanced scorecard as an objective function. My question is “Will the work make a difference?”

Gartner 283

Gartner Supply Chain Planning Software Supply Chain Design Software Case Study 283

Supply Chain Shaman

JULY 12, 2021

As a strong proponent of maturity models, many discussions centered on the movement from program-based to functional metrics and how to drive alignment. Our discussions, influenced the model shown in Figure 1 from the Book Metrics that Matter. Metrics That Matter Model Evolution. Roddy loved beer.

Modeling 195

Modeling Optimization Modeling Metrics Supply Chain Optimization 195

The Logistics of Logistics

NOVEMBER 5, 2024

During his tenure in the industry, he built innovative pricing and forecasting models, leveraging internal and external data sources to improve internal decision-making and increase profitability. He leads a team of market experts who study every facet of the logistics industry to bring the best available insight to customers.

Optimal Sourcing 204

Optimal Sourcing Freight Analytics Software Forecasting 204

Supply Chain Shaman

FEBRUARY 13, 2020

Not all data is forecastable, and not all demand optimization engines are equal. The more forecastable the data set, the easier it is to find an optimizer. In addition, there is often a seasonal, new product launch and service supply chain logical model. To be successful, each logical supply chain model needs different tactics.

Optimal Sourcing 234

Optimal Sourcing Modeling Forecasting Supply and Demand 234

RFgen

NOVEMBER 27, 2024

By harnessing the power of data science and analytics, you can gain end-to-end visibility across your entire network, breaking down information silos and optimizing every stage of your operations. Route Optimization: Calculate the most efficient delivery routes based on several factors. Ready to get started? Let’s dive in.

Optimal Sourcing 82

Optimal Sourcing Supply Chain Optimization Modeling Inventory Reduction 82

ToolsGroup

APRIL 25, 2019

Without baseline metrics on what you want to improve on and why, how can you be confident your strategy is working? And because machine learning systems get smarter over time, having a consistent method of measurement is even more important to ensure you can accurately track how outcomes and ROI are improving against established metrics.

Supply and Demand 227

Supply and Demand Demand Planning Modeling Supply Chain Planning Software 227

Logistics Viewpoints

DECEMBER 18, 2024

Green Logistics: Optimizing transportation routes, consolidating shipments, and employing energy-efficient vehicles to reduce emissions. Advanced route optimization tools further support these goals. Internet of Things (IoT): IoT devices monitor vehicle performance and energy usage, enabling real-time optimization.

Optimal Sourcing 192

Optimal Sourcing Material Savings Supply Chain Design Software Supply Chain Planning Software 192

The Logistics of Logistics

JUNE 14, 2024

Pull Logic uses the Product Availability Ratio (PAR) score to optimize inventory management and ensure customers have access to the products they want when they need them. Explore how accurate demand forecasting and inventory optimization ensure the right products are available for customers. Timestamps (00:00:00) Solving the $1.8T

Inventory Reduction 226

Inventory Reduction Inventory Inventory Management Software Modeling 226

Logistics Viewpoints

NOVEMBER 20, 2024

Meanwhile, advances in AI-driven route optimization reduce unnecessary mileage, cutting emissions and costs. Smart energy management systems further enhance efficiency by tracking and optimizing energy use in real-time. Reducing carbon emissions is a cornerstone of this effort.

Waste Reduction 228

Waste Reduction Sustainability Supply Chain Design Software Resource Reduction 228

DELMIA Quintiq

JULY 25, 2022

The complexity also extends to the optimization of a seemingly infinite number of variables and possibilities. Key capabilities required to support innovation in CPGR Supply Chains: End to end modeling and representation. New KPI’s are also being prioritized, including sustainability metrics. Optimization and analytics.

Modeling 156

Modeling Supply Chain Planning Software Supply Chain Optimization Supply Chain Planning 156

Supply Chain Shaman

JUNE 14, 2014

But companies often have diverging incentives and interests from their supply chain partners, so when they independently strive to optimize their individual objectives, the expected result can be compromised. ”. I think about this discussion with Keith often as I work on the Supply Chain Index and edit the chapters of Metrics That Matter.

Manufacturing Procurement 285

Manufacturing Procurement Optimal Sourcing Procurement Analytics Modeling 285

Supply Chain Shaman

MARCH 9, 2020

The answer is to increase modeling, evaluate sourcing strategies, and build the right push/pull decoupling points. Due to the lack of design of work processes, the output from the technology is sub-optimal. As a supply chain pioneer in the 1990s, I was vested in the concept of using optimization to make better decisions.

Supply Chain Design Software 308

Supply Chain Design Software Supply Chain Planning Software Optimal Sourcing Supply Chain Design 308

Logistics Viewpoints

JULY 23, 2024

Without sufficient data, AI models can’t uncover meaningful patterns, make accurate predictions, or provide valuable insights for informed decision-making in complex and dynamic environments. At the same time, feeding your AI models too much data can also be a problem. Data is the lifeblood of AI in the supply chain.

Optimal Sourcing 257

Optimal Sourcing Agile and Lean Supply Chain Supply Chain Software Modeling 257

Logility

MARCH 6, 2020

Ability to update constantly on the most recent data, and models that quickly ’find their level’ and adapt to regime changes. Machine Learning for demand forecasting is highly accurate; this is proven over and over again in Kaggle competitions and modeling benchmarking studies.

Forecasting 260

Forecasting Supply and Demand Forecasting Software Modeling 260

Logility

JULY 9, 2021

The quality of supply chain operations is critical to evolve business models, deliver new products and services, seize new opportunities, respond to market dynamics, and mitigate risks across strategic operations. Comparing a supply chain planning platform against an ERP system that offers supply chain management capabilities is a challenge.

Supply Chain Planning Software 205

Supply Chain Planning Software Supply and Demand Supply Chain Software Optimal Sourcing 205

Logistics Viewpoints

JANUARY 17, 2022

Their platform provides greater visibility into and control over how companies spend money, optimize supply chains, and manage liquidity. The Rule of 40 was popularized by venture capitalists in recent years as a key performance metric for SaaS firms. on this metric. They report that Coupa is at 58.2% GAAP versus Non-GAAP.

Logistics Network Optimization Software 235

Logistics Network Optimization Software Modeling Software Optimization Software Supply Chain Software 235

Logistics Viewpoints

DECEMBER 14, 2021

To keep customers like my dad satisfied, RGD and Quick-commerce companies need to invest in new technologies to optimize the supply chain and logistics operations. Inventory Optimization. Inventory Optimization involves decisions about the inventory level, the location, and the mix of products. Route Optimization.

Supply Chain Planning Software 212

Supply Chain Planning Software Forecasting Software Supply Chain Design Software Optimization Software 212

Kinaxis

SEPTEMBER 16, 2014

While there was always passionate discussions on companies and metrics, the end goal was to raise awareness of supply chain as a practice. However, they seem to fall under the conglomerate issue, where multiple business units may skew the summary metrics. There has been so much discussion on the “top” supply chain lists.

Supply Chain Planning Software 279

Supply Chain Planning Software Gartner Supply Chain Design Software Agile and Lean Supply Chain 279

Supply Chain Shaman

FEBRUARY 1, 2024

Optimization engines to improve functional metric performance resulted in an exploding number of planners. Through the use of a NoSQL unified data model, the company is able to now move data within 15-minute increments improving the data flow for inventory availability to improve allocation and ATP processing.

Supply Chain Planning Software 340

Supply Chain Planning Software Optimal Sourcing Manufacturing Procurement Waste Reduction 340