As increased commodity and energy prices are fueling inflation and the geopolitical shift has caused supply disruptions, supply chain managers must plan for volatility and uncertainty. Integrating cost optimization into supply chain operations helps determine the optimal combination of cost, resilience, and quality that best contributes to business growth. From this blog post, learn what supply chain cost optimization is and how to make it work.
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In today’s dynamic world and highly competitive market, customers expect low-cost, on-time deliveries, and reliable service tailored to their needs. To maintain a high service level and fulfill the demand, companies do capacity planning for their supply chains. In this post, we explore what capacity planning is, and look at examples of how to account for throughput and storage capacity in a supply chain.
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Volatile supply and demand make it necessary to keep certain inventory levels to satisfy customers. Therefore, increasing a supply chain inventory level will increase customer service and revenue, but it comes at a cost. To reduce the inventory level and the costs associated with them across the entire supply chain, managers use multi-echelon inventory optimization.
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To help you gain deep insights into your company’s supply chain operations, we currently offer anyLogistix 2.x. However, we’re also preparing something new – anyLogistix 3. Read more and see it for yourself!
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We have just released anyLogistix 2.15.2, a new version that includes some minor enhancements and many quality improvements and bug fixes.
The release also includes a couple of new example models answering popular questions that users ask our Support team and illustrating some modeling tricks.
The specific requirements of cold chain logistics in pharma became a global concern during the COVID-19 pandemic. Vaccines needed rapid worldwide distribution at an unprecedented scale. Simulation modeling played a key role in successfully meeting the challenge.
This article shows how the consultancy company Skkip created an appropriate cold chain solution and benefitted from using anyLogistix software in their work.
This article introduces the broad field of supply chain analytics and its main approaches, gives an example workflow for end-to-end supply chain analysis, and compares supply chain tool anyLogistix with traditional Excel-based analysis methods.
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Meet anyLogistix 2.15! The new version offers a range of improvements, including scenario import and export with external databases.
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Creating and maintaining a result-oriented, efficient supply chain can be tricky since it brings together procurement, production, transportation, sales, and financial sides of your business. This is where optimization can help.
In this article, you'll explore what ‘supply chain optimization‘ means, look at the typical supply chain management and optimization problems, and go through a practical example to learn how to solve those problems.
Sustainability has become an increasingly pressing issue in supply chain over the last few years. Rethinking and re-planning the activities of companies from a sustainable perspective is no longer a voluntary choice – they have become a duty – and companies are now called upon to question their environmental impact.
This supply chain sustainability case study, based on the dairy sector of the Italian food industry, presents several scenarios for increasing supply chain sustainability that can be mapped to suit different industries.
