Remove 2018 Remove Metrics Remove Procurement Remove Warehousing
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2020 Requires Big Wings and Feet

Supply Chain Shaman

The design of the conference includes tours of several modern warehouses and centers of excellence. No metric should be measured in isolation, and functional metrics should be replaced with the balanced scorecard metrics shown in Figure 2. Average Inventory Levels by Industry over the Period of 2010-2018.

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Building the Business Case for Supply Chain Risk Management

GlobalTranz

On the other hand, only 8 percent of companies that were rated by their executives as less than significantly above average on supply chain-related metrics have the same performance. WHITE PAPER] The Top Supply Chain Trends that Will Impact Supply Chain Management in 2018. Without a doubt, managing supply chain is nothing but easy.

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How Machine Learning Is Redefining Supply Chain Management

IQMS

Key factors influencing inventory levels, supplier quality, demand forecasting, procure-to-pay, order-to-cash, production planning, transportation management and more are becoming known for the first time. Source: DHL, Artificial Intelligence in Logistics, 2018 (PDF, 45 pp., no opt-in). no opt-in). no opt-in).

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The Coming Age of Cognitive Supply Chains

Enterra Insights

” Alex Saric ( @alexsaric ), a procurement expert at Ivalua, told Eason, “There is a huge appetite to develop cognitive supply chains, which is only set to increase as more success stories come to light. 3] Mani Iyer, “ The cognitive supply chain: Why your firm needs one ,” Genpact Blog, 10 May 2018. [4]

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President Andrew Lynch On What We Must Do To Create Nationally Secure And Resilient Supply Chains

Zipline Logistics

Starting his career in carrier procurement and management within a Fortune 100 logistics company, Lynch has held positions of responsibility in all areas of third-party logistics. Forward-thinking brands are tracking crucial metrics to illuminate their supply chains and find control. Andrew Lynch x Authority Magazine Interview.

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Manufacturing Gains From Machine Learning

IQMS

The ten ways machine learning is revolutionizing manufacturing in 2018 include the following: Improving semiconductor manufacturing yields up to 30%, reducing scrap rates, and optimizing fab operations are is achievable with machine learning. Source: TIBCO Manufacturing Solutions , TIBCO Community, January 30, 2018.

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Supply Chain Digitization: Starting the Journey

Requis

Still others have invested in expensive enterprise resource planning systems, only to abandon them because they just don’t map to the natural workflows of procurement, asset management, and disposition. It’s easy to visualize how this information can save endless person-hours of running around warehouses. McKinsey, Supply Chain 4.0: