Logility

JUNE 28, 2022

With Starboard’s Digital Twin Technology, Logility Clients Can Better Answer “What if” Scenarios and Optimize Supply Chain Networks to Overcome Disruptions and Drive Growth. The solution is built for continuous use, eliminating the need for a consulting project to model potential resolutions to unexpected supply chain disruptions.

Optimal Sourcing 249

Optimal Sourcing Network Optimization Software Logility Supply Chain Network Software 249

ToolsGroup

AUGUST 25, 2022

BOSTON – (August 25, 2022) ToolsGroup , a global leader in AI-driven retail and supply chain planning and optimization software, has been named a leader in the Quadrant Solutions SPARK Matrix™ for Global Supply Chain Inventory Optimization. for Global Supply Chain Inventory Optimization, 2022. Source: [link].

Optimal Sourcing 222

Optimal Sourcing ToolsGroup Modeling Supply Chain Optimization 222

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.

Sourcing Strategies 261

Sourcing Strategies Supply Chain Design Software Modeling Inventory Reduction 261

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.

Modeling 177

Modeling Network Design Software Network Design Scenario Planning 177

Logility

SEPTEMBER 16, 2022

Why do we build logistics models? But I ask it because modeling often takes a detour into the land of debilitating detail. I am often asking clients whether they wish to: A) Model the precise general ledger costs for logistics? If I am making a good model, am I not accurately modeling my future logistics spend?

Modeling Software 130

Modeling Software Modeling Optimization Modeling Logistics Network Optimization Software 130

AIMMS

JANUARY 28, 2019

Our team determines which countries should get the most volume of this product, where it should be produced and which brewery each country should source it from. Can you tell me about HEINEKEN’s AIMMS-based Brewing Capacity Model? I understand your team took ownership of this model. How did the model come together? .

Modeling 293

Modeling Modeling Software Optimization Modeling AIMMS 293

AIMMS

NOVEMBER 9, 2020

Our second webinar delved deeper into the technology aspect, focusing on analytical capabilities and scenario modeling. Specifically, we looked at three use cases for scenario modeling using our cloud-based IBP app. The post IBP Scenario Modeling for Recovery, Restructuring and Resilience appeared first on AIMMS.

Modeling 156

Modeling Scenario Planning Optimization Modeling Modeling Software 156

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 284

Supply Chain Planning Software Modeling Optimal Sourcing Supply Chain Design Software 284

AIMMS

NOVEMBER 12, 2015

Source: Oliver Wight. 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.

Optimal Sourcing 156

Optimal Sourcing Modeling Optimization Modeling Modeling Software 156

Logility

NOVEMBER 2, 2022

This realization for supply chain leaders creates new questions about which strategies can genuinely optimize their operations while offsetting changing demand and supply disruption. Five Reasons for Adopting a Supply Chain Network Design and Optimization Solution. Second: Real-time analysis and visualizations.

Optimal Sourcing 130

Optimal Sourcing Network Design Software Network Optimization Network Design 130

Resilinc

MARCH 26, 2024

In this blog, we explore the different types of predictive AI models for supply chain risk management. Currently, Resilinc uses several predictive AI models in tracking purchase orders (POs) and commodities, autonomous mapping, risk-scoring models, and simulators. How does Resilinc use regression models?

Modeling 107

Modeling Supply Chain Risk Management Modeling Software Risk Management 107

Supply Chain Game Changer

AUGUST 30, 2022

Many businesses use some form of Total Cost of Ownership model to support their Procurement and sourcing decisions. In fact these models are not just used casually, but they often are designed to inform and make optimal sourcing choices. What is a Total Cost of Ownership Model?

Optimal Sourcing 103

Optimal Sourcing Purchasing Skills Manufacturing Procurement Negotiating Skills 103

SCMDOJO

DECEMBER 14, 2023

In the global world of businesses, companies often seek help from sourcing agencies to figure out how to get the things they need. But what’s a sourcing agency or sourcing agent and how does it make buying things easier? Let’s explore this world of sourcing agencies and understand what they do.

Purchasing Skills 104

Purchasing Skills Optimal Sourcing Negotiating Skills Sourcing Strategies 104

Resilinc

JULY 26, 2024

Learn the supply chain risk management maturity model stages from Supplier Risk Management to antifragility. Now, TechCo needs to implement supplier risk management strategies such as alternate sourcing to address potential risks associated with SemiSupply. Supplier Risk Management What is Supplier Risk Management (SRM)?

Supply Chain Risk Management 62

Supply Chain Risk Management Modeling Risk Management Modeling Software 62

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. . Jamshedpur plant (image source: Tata Steel).

Optimal Sourcing 291

Optimal Sourcing Optimization Software Supply Chain Software Supply Chain Planning Software 291

Logility

DECEMBER 15, 2023

From harvest to hands, the food & beverage (F&B) industry leaves no room for guesswork, especially without supply chain optimization software. This reality is compelling F&B companies to rethink their strategies and approach to supply chain optimization and demand planning.

Optimal Sourcing 173

Optimal Sourcing Supply Chain Planning Software Optimization Software Supply Chain Software 173

SCMDOJO

MAY 15, 2024

Supply chain design and optimization projects present significant challenges, ranging from complex network structures, and multiple databases to diverse business objectives. Introduction In today’s fast-paced and competitive business landscape, the optimization of supply chain networks is critical for enhancing operational efficiency.

Optimal Sourcing 98

Optimal Sourcing Network Design Software Supply Chain Design Software Modeling 98

ToolsGroup

JANUARY 16, 2023

BOSTON — January 16, 2023 — ToolsGroup , a global leader in retail and supply chain optimization software, today introduced the launch of Inventory Hub®, a Dynamic Data Unification Platform that provides retailers with a “single source of truth” for inventory data across their enterprises. “As

ToolsGroup 156

ToolsGroup Real-time Visibility Optimal Sourcing Supply Chain Planning Software 156

The Logistics of Logistics

NOVEMBER 19, 2021

A New Model for Grocery Delivery with Sean Coakley. Sean Coakley and Joe Lynch discuss a new model for grocery delivery. Key Takeaways: A New Model for Grocery Delivery. In the podcast interview, Sean and Joe discuss the new model for grocery delivery, which might also be called the “revenge of the retailers.”.

Modeling Software 130

Modeling Software Modeling Optimization Modeling Logistics Network Optimization Software 130

Logility

SEPTEMBER 5, 2021

When it comes to supply chain modeling, one size does not fit all, but all of them benefit from strides made in the areas of artificial intelligence (AI) and machine learning (ML). Which supply chain model you use and how it is implemented can have an impact on the future of your business. The 6 Different Supply Chain Models.

Modeling 130

Modeling Optimization Modeling Modeling Software Optimal Sourcing 130

ToolsGroup

MAY 30, 2018

There has been a lot of discussion around this topic lately and I wanted to offer a few insights, including around the importance of the data model in high-quality decision making using digital twins. These are virtual counterparts to the physical world that model a product’s uniqueness and its lifecycle.

Modeling 168

Modeling Modeling Software Supply Chain Planning Software Optimization Modeling 168

Supply Chain Shaman

MAY 26, 2023

The basic frame of supply chain planning–functional taxonomies for optimization on a relational database–must be redesigned before supply chain leaders can reap the benefit of deep learning, neural networks, and evolving forms of Artificial Intelligence (AI). Or a unified data model across source, make, and deliver for planning?

Optimal Sourcing 345

Optimal Sourcing Modeling Supply and Demand Manufacturing Procurement 345

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 163

Optimal Sourcing Optimization Software Supply Chain Design Software Supply Chain Planning Software 163

Logility

MAY 25, 2022

the traditional supply chain model is falling short. Now more than ever, the conventional silos of planning, sourcing, and procurement teams must be connected into one cohesive network. A digital supply chain platform enables these interactions between planning, sourcing, and procurement ? Let’s face it ?

Optimal Sourcing 130

Optimal Sourcing Manufacturing Procurement Supply Chain Planning Software Supply Chain Design Software 130

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

Supply Chain Shaman

MAY 21, 2024

While changes in models (bottoms up and tops down forecasting, attribute-based modeling, and attach rate/platform modeling) can help, the problem is that even shifts in modeling techniques often do not help. Organizations are not aligned because of the focus of planners to optimize functional metrics.

Procurement Analytics 350

Procurement Analytics Metrics Optimal Sourcing Supply Chain Planning Software 350

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

AIMMS

JANUARY 28, 2019

Our team determines which countries should get the most volume of this product, where it should be produced and which brewery each country should source it from. Can you tell me about HEINEKEN’s AIMMS-based Brewing Capacity Model? I understand your team took ownership of this model. How did the model come together? .

Modeling 156

Modeling Modeling Software Optimization Modeling Capacity 156

Supply Chain Shaman

NOVEMBER 9, 2023

Use of optimization to consume planned orders into manufacturing scheduling and distribution requirements planning (including inventory optimization of safety stock). The focus is on functional optimization. We are continuing the testing in January, but no inside-out model beats an outside-in model so far.

Optimal Sourcing 352

Optimal Sourcing Supply Chain Planning Software Manufacturing Procurement Modeling 352

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

APRIL 18, 2023

During the pandemic, companies struggled with planning systems turning off the optimizers, and using the technology as a system of record. E-commerce models exacerbated this trend while supply variability challenged order reliability. Steps to Take Here are three steps to take: Adaptive Modeling. Build in-market sourcing.

Supply Chain Planning Software 390

Supply Chain Planning Software Supply Chain Design Software Optimal Sourcing Supply Chain Software 390

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. . Jamshedpur plant (image source: Tata Steel).

Optimal Sourcing 156

Optimal Sourcing Optimization Software Supply Chain Software Supply Chain Planning Software 156

ivalua

NOVEMBER 27, 2019

So what does “good” strategic sourcing look like? The primary difference between Strategic Sourcing and “good” Strategic Sourcing is contextualized flexibility. Procurement must be able to apply the general principals of Strategic Sourcing in a way specific enough to maximize the value of each spend category.

Negotiating Skills 147

Negotiating Skills Optimal Sourcing Sourcing Strategies Sourcing 147

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. ERP, CRM, SCM), external sources (e.g.,

Optimal Sourcing 269

Optimal Sourcing Agile and Lean Supply Chain Supply Chain Software Modeling 269

Logility

OCTOBER 22, 2019

Basic business forecasting models were developed in the early 1900’s. Economic forecasting using Keynesian models was developed in the 1930’s and spread to other industrialized countries after WWII. This post discusses the Demand Optimization Maturity Curve. IRI – Syndicated Data Source. Source: Logility, Inc.

Optimal Sourcing 105

Optimal Sourcing Modeling Supply and Demand Optimization Software 105

ThroughPut

MAY 24, 2024

Multi-Echelon Inventory Optimization (MEIO) is the solution, offering a sophisticated approach to optimizing stock levels, reducing costs, and improving service. What is Multi-Echelon Inventory Optimization? Statistical Data – historical data on demand, lead times, and forecast errors inform optimization decisions.

Optimal Sourcing 52

Optimal Sourcing Modeling Inventory Reduction Optimization Software 52

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. Prior to joining DAT, Adamo led the pricing and decision science teams at FedEx.

Optimal Sourcing 205

Optimal Sourcing Freight Analytics Software Forecasting 205