Market-driven Supply Chains in a Digital World - Calls for Papers - Elsevier
Buy The Relationship-Driven Supply Chain: Creating a Culture of Collaboration throughout Get your Kindle here, or download a FREE Kindle Reading App. Download FREE eBook - 8 Supply Chain Trends impacting your Tech vendors such as IBM, Google, and Amazon have released ML and Predictive Analytics for Supplier Selection and Supplier Relationship Management (SRM) And in January , McKinsey's research arm estimated AI-driven job. Building trust in the supply chain is essential to driving flow; and when However, this is where the relationship between manufacturer and.
Lack of collaboration is often the cornerstone of conflict, blame, and mistrust between a manufacturer and suppliers.
Missed shipments tend to lead to finger-pointing, followed by over-buffering on both sides to guard against further disruptions, which often results in further exacerbation of the negative bull-whip effect.
Cost-effective supply chain collaboration between manufacturer and suppliers is paramount. Without that constraint addressed, all other benefits are pointless.MACKLEMORE FEAT LIL YACHTY - MARMALADE (OFFICIAL MUSIC VIDEO)
Start with right-sizing inventory and just-in-time replenishment practices. It is safe to say that with forecasts, they can be relatively accurate at a high level i.
Creating Trust Throughout the Supply Chain Using Demand-Driven Methods
However, this is where the relationship between manufacturer and suppliers exists. The article argues that what separates best-in-class companies from those that struggle with accuracy is how they root out and learn from forecasting errors.
From an inventory perspective, today more manufacturers are viewing excessive inventory as a huge financial liability rather than an asset. This methodology greatly reduces reliance on forecast and therefore reduces the impact of forecast error. A common and highly effective way to implement a demand-driven methodology is through an electronic Kanban system. In leveraging an eKanban systemmanufacturers and supply chain professionals start driving good replenishment signals to the supplier, fostering trust and reducing noise.
How does real-time collaboration and visibility impact the financial statements and key performance indicators? See article in Plant Services magazine.
Create a collaborative, transparent environment for all suppliers. Among the key challenges for firms are how to transform their traditional supply chains with linear information flows to a dynamic, integrated digital network and how to communicate, aggregate, analyze and act upon the abundant information provided Mussomeli and Gish Collecting data through an IT infrastructure along the supply chain Wu et al.
Two Delphi studies Kache and Seuring ; Brinch et al. Marketing applications of digital supply chain processes enable companies to quickly adjust their customer strategies and offerings, to better forecast demand on a micro-segment basis or to rearrange individual product assortments based on predicted customer behavior. Applications in supply processes, ranging from logistics to operations, manufacturing and sourcing, can all be designed in a way to fulfill these new, data-driven value propositions more effectively and efficiently.
Logistics applications can for example improve productivity by avoiding delays through preventive maintenance, tracking inventory in motion or optimizing fuel efficiency, all of which support a more sustainable, flexible and transparent flow of materials and end products throughout the chain.
Automated control and virtual monitoring in operations and manufacturing applications support decisions ranging from inventory management to maintenance optimization, quality management and facility location. They enable the design of a leaner supply chain with more consistent processes and higher product quality. Finally, analytics in sourcing applications may inform negotiations with suppliers by leveraging factual evidence of customer preferences and buying behaviours.
Examples such as these point to the abundant opportunities for increasing supply chain responsiveness to changing market conditions in these information-enriched ecosystems.
Creating Trust Throughout the Supply Chain Using Demand-Driven Methods | Synchrono
Although many firms in supply chains see the merits of digitalized supply and demand networks, unresolved issues prevent their full exploitation. Some of the most pressing issues have been investigated in the pre-digitalised markets but the concepts need to be readdressed in the emerging digital era. For example, Kache and Seuring find that although companies identify customer behavior analytics as the biggest corporate-level opportunity, many appear to ignore that a narrow focus on customer interaction overlooks the impact along the supply chain.
Similarly, Sanders found that only leading companies are able to coordinate the often hyper-specialised process applications in a functionally linked manner and as part of a coordinated overarching business strategy.
Hence, supply chain integration Stevenson needs to be readdressed. Likewise, end-to-end supply chain visibility has been recognized as an important driver for competitive advantage for more than 20 years Mason-Jones and Towill Still, the abundant information among all nodes also raises important governance questions Hu and Monahan This is likely to be exacerbated by the fact that the number of network parties may increase since transaction costs decrease through information technology Mussomeli and Gish Linked to the IT-driven information flows is the issue of collaboration Barratt Although agreement can be traced on the need for more structured collaboration models which enable participatory decision and co-creation Hu and Monahanjust what these models may look like remains an open question.
We want to encourage research contributions that build on established knowledge in the area of market-driven supply chains and investigate them in the new context of our increasingly data-driven world. To that end, we seek manuscripts that draw on multiple methodologies including qualitative, quantitative, case study or triangulation of methods.