File Name: supply chain design and analysis models and methods .zip
A literature review and gap analysis indentifies key limitations of industry best practice when modelling of supply chains. To address these limitations the paper reports on the conception and development of an integrated modelling methodology designed to underpin the analytical design of complex supply chains.
The term supply chain modeling refers to different processes used over the years to define, determine and understand an organization's supply chain. It recognizes that there are many types of businesses, each of which has unique supply chain requirements. Some need to be agile to take advantage of unpredictable demand, while those in highly competitive markets strive for efficiency. As companies grow, their supply chains become complex and difficult to manage. A point is reached where it becomes increasingly difficult to make the right supply chain decisions due to inflexibility of the supply chain model — a point where the model no longer reflects the current realities of the market or the supply chain, itself.. It's at this point that many supply chain managers are turning to another form of supply chain model.
The increased competition in the global market has obliged firms to maintain high customer service levels while at the same time, to reduce cost and maintain profit margins [ 1 ]. In this context, firms need to be able to produce and deliver a variety of customized products at low cost, high quality and short lead time [ 3 ], while possessing high reliability and flexibility to ever-changing requirements [ 4 ]. On the other hand, the competitiveness of a company is continuously tested and determined by its participation in networks of customers, distributors, partners and suppliers [ 5 ]. This trend of globalization has forced individual firms to compete as part of supply chain SC links, that is, the SC of the enterprise versus the SC of its competitors [ 6 ], [ 7 ]. Therefore, the ultimate success of a company depends on its managerial capability to make strategic alliances with other reliable partners, to efficiently handle the flow of products up to the end consumers [ 8 ]. From here the idea that that the ultimate success of any enterprise is coupled with the destiny of its SC [ 9 ], [ 10 ], [ 11 ]. This changes the focus of competitiveness from the local manufacturing company to the international SC [ 12 ], [ 13 ].
Our simulations integrate agent-based modeling techniques with DES by using the four entity classes listed below. This enables simulations to show both the overall state of an entire supply chain network as well as the state of each individual entity within the supply chain moment by moment as simulations play out over time. Simulations can be paused and re-started as needed to investigate specific developments in particular parts of a supply chain. Simulation data is saved and can be downloaded for further analysis and reporting purposes. SCM Globe tracks the flow of products through a network of facilities a supply chain , and calculates related operating costs and key performance indicators over any number of hours, days, weeks or months.
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