By Iftekhar A Karimi, Rajagopalan Srinivasan
Vol. 1. half A -- v. 2. half B
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Extra info for 11th International Symposium on Process Systems Engineering
And B. Dietrich. 2001. Moving Toward Dynamic Available-to-Promise. In: Gass, S. and Jones. T. ) Supply Chain Management Practice and Research: Status and Future Directions. 1-19. C. Graves. 1995. Principles on the benefits of manufacturing process flexibility. Management Science, 41(4), 577-594.
Secondly, we present a suite of mathematical optimization models that enable on demand upselling, alternative-selling and down-selling to better integrate the supply chain horizontally, connecting the interaction of customers, business partners and sales teams to procurement and manufacturing capabilities of a firm. And finally, we describe findings and managerial insights from real-life experiences with demand shaping in a server computer manufacturing environment. Keywords: Demand shaping, product substitution, configure-to-order, mixed choice models, supply chain visibility.
This paper discusses a set of integrated analytics for supply/demand synchronization with a new emphasis on customer facing actions called demand shaping. Demand shaping is the ability to sense changing demand patterns, evaluate and optimize an enterprise supply plan to best support market demand and opportunity, and execute a number of demand shaping actions to "steer" demand to align with an optimized plan. First, we describe a multi-enterprise cloud-based data model called the Demand Signal Repository (DSR) that includes a tightly linked end-to-end product dependency structure as well as a trusted source of demand and supply levels across the extended supply chain.