This paper evaluates the impact of information sharing strategies on the performance of a supply chain. We consider three forms of information sharing strategies: (1) order information sharing where every stage of the supply chain only knows the orders from its immediate downstream stage; (2) demand information sharing where every stage has full information about the market demand; (3) inventor...

Supply chains are large-scale distribution networks in which multiple types of commodities are present. In this paper, the operations management in supply chains is posed as a tracking control problem. All inventory levels in the network should be kept as close as possible to the desired values over time. The supply chain state is disturbed due to client demand at the end nodes. A multiagent co...

today, companies need to make use of appropriate patterns such as supply chain management system to gain and preserve a position in competitive world-wide market. supply chain is a large scaled network consists of suppliers, manufacturers, warehouses, retailers and final customers which are in coordination with each other in order to transform products from raw materials into finished goods wit...

Thus Demand chain management (DCM) is emerging as an innovative concept of managing the supply chain. A typical business analytic service is expected to sense trends and insights from data, then model ‘what if’ scenarios to support better decision-making from the insights derived. It should also be able to deliver short term strategic engagements consistently for long term managed services. Rat...

Some companies concentrate on upgrading their supply chain operations. Others focus more on the demand side, seeking to improve the customer relationship processes. Yet the real key to market success is to effectively integrate the two initiatives. By doing so, you can offer customers a greatly enhanced value proposition. And this, in turn, leads to new T raditionally, supply chain management h...

The inventory control of the products which have intermittent demand is essential for many organizations since these items have a low lead time demand but a high price. Since the intermittent demand pattern is irregular, the estimation of the lead time demand is challenging. A modified Markov chain model (MMCM) has been proposed for modeling and estimating intermittent demand data, motivated by...

In this work, we provide an overview of our previously published works on incorporating demand uncertainty in midterm planning of multisite supply chains. A stochastic programming based approach is described to model the planning process as it reacts to demand realizations unfolding over time. In the proposed bilevel-framework, the manufacturing decisions are modeled as ‘here-and-now’ decisions...