Resources

The amount of data, increasingly real time and near real time, that is bombarding businesses in this industry requires faster and more comprehensive data collection and analytics capabilities to support both current ways of doing business and future innovation.

The importance of understanding business intelligence analytics in real-time is constantly increasing as supply chain agility requirements rise, and because of this, thought leaders have begun to adopt supply chain analytics solutions.

Advanced analytics and decision support tools have proven to be a valuable resource for progressive supply chain professionals driving transformation in their organizations, despite this, many organizations still struggle to find the right technology to support their efforts.

From long-term, strategic decision-making to tactical production planning, supply chain modeling technology can enable food and beverage companies to reduce cost and risk and edge out the competition.

This paper provides the context for developing the Electronic Freight Management initiative and describes its approach, components, and products, it also discusses the benefits of using EFM concepts and the importance of adopting data standards to improve communication among supply chain partners.

If seaport tenants cannot safely and efficiently operate their businesses, including moving cargo on and off ships, repairing vessels, and ensuring that ships are adequately supplied, it is the seaport that will ultimately suffer through lost business as shippers move to other ports and volume declines.

Sustainability is driving innovation: from Silicon Valley companies to Washington, D.C., procurement agencies to suppliers in Shenzhen, and it has become a business necessity because it saves money, smooths operations, diminishes risk in supply chains and opens new business opportunities.

Before claiming that warehouse jobs provide a pathway to the middle class, we need to assess whether official industry wage models accurately measure what workers in this sector actually earn.

In this report, we examine Best-in-Class companies’ performance on their global logistics costs and how benchmarking and pricing transparency for shipping containers can improve their global cost structure.

Today, the global industry market is characterized by growth: growing complexity, growing risks, more and more crises and, as a result, a growing need for consumer trust.

Lean manufacturers continue to address throughput issues by automating systems and creating better processes to eliminate waste in all of its forms.

When selecting a WMS, the range of functions, the options for modification, the future-proofness of the software as well as the software producer’s project experience, support, know-how and training concept should be taken into consideration.

The more you know about the strengths and weaknesses of your existing logistic environment, the better you are prepared for selecting a suitable warehouse management system.

IIoT is only the first step in realizing true manufacturing intelligence, a connected manufacturing environment lays the framework for the utility of collecting data.

This study was conducted by analyzing the SmartDrive database of over 140 million analyzed driving events and the accompanying continuous telematics data, only trucking customers were included in this study, and data presented covers the period from August 2015 through July 2016.

In this paper, we speak about culture and cultures because in any given organization there coexist a dominant organizational culture as well as unique sub-unit cultures.

The latest update now confirms some familiar trends while also providing valuable glimpses of upcoming trends that are likely to shape the future of logistics, from the adoption of self-learning systems to leveraging the possibilities of smart energy logistics.

With the abundance of cloud, big data and analytics, social business, and mobile resources - often called the 3rd Platform - there is a surge to bridge digital technologies with operational, organizational, and business models.

How is global trade changing in 2016? Panjiva surveyed 350 global trade professionals on their outlook and concerns with the state of global trade.

The volume of data is skyrocketing as diverse data sources, processes and systems show unprecedented growth; companies are trying to capture and store everything, without first establishing the data’s business utility.