There are two basic types of innovation and of innovation management which we typically distinguish: Innovations within the existing business model:
Inventory ManagementLogistics I. Research firm Gartner recently released a write-up highlighting what many supply chain professionals have been weighing for some time: ERP and supply chain management SCM have gone hand-in-hand for quite some time, but the IoT revolution will allow us to enhance those solutions by intelligently connecting people, processes, data, and things via devices and sensors.
Think of it as SCM 2. This deeper intelligence can come to life in many different ways when it comes to supply chain data and intelligence — from automation of the manufacturing process to improved visibility within the warehouse.
The logistics ecosystem has many players, and thus, many moving parts. Products are handled and transferred between the manufacturer, suppliers, the distribution center, retailer, and customer.
This many nodes in the supply chain calls for an agile and informed supply network in regards to product whereabouts and other specifications.
These are the backbone of IoT as it relates to the supply chain. By tapping the data gathered by these technologies, detailed visibility of an item is provided all the way from the manufacturer to the retailer. Data gathered from GPS and RFID technologies not only allows supply chain professionals to automate shipping and delivery by exactly predicting the time of arrival; they can monitor important details like temperature control, which impact the quality of a product in-transit.
IoT will bring all of this together in the following way: By putting an RFID chip in a pallet, for example, and a combined integrated device in the shipment vehicle, data is transferred into the cloud, and the devices can identify the pallet and not only share its position using GPS coordinates, but also bring in other data like weather conditions, traffic conditions, and driver-specific data i.
Combining real-time sensor data with environmental data can provide intelligence of higher order to all the stakeholders in the ecosystem. This allows the stakeholders to be socially aware and make efficient decisions that drive overall productivity.
This moves the supply chain process from a reactive mode to a proactive one by offering information well before any activity happens.
For example, providing information about a traffic jam and potential delay before the trip starts has much higher value than getting that alert when one is already stuck in the traffic. This context-aware intelligence can enhance the supply chain visibility by implementing IoT.
Clearly this scenario can be applied to others in the supply chain — from the manufacturer to the end user, the Internet of Things means richer data and deeper intelligence for all parties in a supply network. Know about product issues in time to find a solution. Optimize fleet routes by monitoring traffic conditions.
Monitor the cold chain — according to the Food and Agriculture Organization of the United Nations, about one third of food perishes in transit every year.
Monitor inventory to reduce out-of-stock situations. Embedded sensors provide visibility into customer behavior and product usage. Reduce redundancies — deadhead miles account for up to 10 percent of truck miles, according to the EPA, and 28 percent for private fleet trucks, according to the National Private Truck Council.
Deeper intelligence into supply and demand will not only benefit manufacturers, distributors, and retailers, but also consumers, as their demands can be better met with this deeper level of intelligence. Related Articles Inventory Replenishment: The World is Your Warehouse, 2.case STUDY Zara is the flagship brand of the Spanish retail group, Inditex SA, second and third day it starts to look stale, but customers may such long supply chain lead times that for them it would seem a lost cause for .
supply chain and logistics in the purely conceptual field (Larson and Halldorsson, ), a broader view reveals a similar approach to that of logistics in supply chain management, this being the approach taken in this paper.
The Zara case study is one of the best know cases in supply chain education related to retail supply chain planning. Topics in this case are sourcing, outsourcing, production planning and control, lead-times, information management and more.
Supply Chain Management and Retailing Supply Chain Forum An International Journal Vol. 11 - N°4 integrated and considered as part of the supply chain rather than separate (and enabled by technology and information when Zara requires a different set of skills, competencies, approaches, and techniques from.
Zara Case Solution,Zara Case Analysis, Zara Case Study Solution, What is your evaluation of the geographic/brand portfolio? The diverse portfolio of the company has been the main reason for a large customer base for Indi.
Case Study Created by Paulina, Lauren, Victoria, William, Robin H&M use Kaizen theory which means they continuously look to improve their supply chain and business IT plays a big part in the continuous improvement, individual stores are linked with the logistics and procurement departments and the central warehouses.