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Information Sharing in a Distributed Enterprise : Impact on Supply Chain Performance
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2005 |
| Abstract | Israel B. Owusu and Steinar Hauan Current process systems research in planning and scheduling for multisite planning [2] have provided large-scale optimization models and corresponding algorithms, typically for simple, multistage supply network. These have been successful in providing insight into inventory management policies, capacity planning, and investment decisions [6]. Modeling of larger enterprise networks, however, is constrained by computational resource requirements and the need to effectively incorporate dynamic supply chain scenarios into such models. Dynamics in a supply chain are primarily a result of demand uncertainty, and complicated further by the discrete nature of business decision-making in response to perceived exogenous market conditions such as product sales price [1,4,7]. The computational requirements for incorporating dynamic events and parameters into an enterprise simulation can be substantial. The resulting models, linear or nonlinear mixed integer problems are very large. While model formulations and algorithms that exploit problem specific structure can result reductions in problem size and improve solution times, the problem of incorporating dynamics and flexibility into enterprise modeling still remains [4]. Recently, scenario-based approaches and Monte-Carlo type simulations have been used to address some of these dynamic effects [3,9]. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.nt.ntnu.no/users/skoge/prost/proceedings/aiche-2005/non-topical/Non%20topical/papers/477e.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Algorithm Analysis of algorithms Automated planning and scheduling Computation Computational resource Decision Making Enterprise modelling Integer (number) Inventory Large Linear Models Mathematical optimization Monte Carlo method Multistage amplifier Nonlinear system Process architecture Requirement Scheduling (computing) Scheduling - HL7 Publishing Domain Simulation Systems theory |
| Content Type | Text |
| Resource Type | Article |
