Download Business performance Intelligence Software by Financial Executives Research Foundation PDF

By Financial Executives Research Foundation

This record goals to assist executives determine company functionality Intelligence (BPI) software program most suitable to their agencies' targets. It presents an summary of the more and more advanced BPI industry (which contains 1) approach development/execution & functionality administration, 2) making plans, budgeting & forecasting, and three) company analytics and cost/profitability administration) and indicates a framework CEOs and CFOs can use to judge the features and capability worth of forty seven particular BPI structures.

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49) ensure the nonnegativity of the new variables IBjt ; ISjt ; XBjt , and XSjt . 43), respectively. We denote the decentralized versions of the models of buyer and supplier by adding “S” and “B,” respectively, to the model names. ” 93 With “items supplied,” we mean the subset of items that may be ordered by the buyer (and subsequently supplied by the supplier) 26 2 Supply Chain Planning and Coordination We take GM as the base model in the following. 45) comprise decisions of both planning domains, a direct inclusion of these constraints is neither possible in GM-S nor in GM-B.

8b). An implementation of this target avoids overtime at a buyer planning based on the MLCLSP94 (Fig. 95 With the presence of large setup times, however, overtime at the buyer may be required if the capacity consumption of a setup for item 2 is greater than the available 94 95 See Sect. 2 for this model. See the scheme of Dudek and Stadtler (2005, p. 673) and that proposed in Chap. 4. 30 2 Supply Chain Planning and Coordination A C B D E Fig. 8 Aggravation of the suboptimality of decentralized planning with setup times and campaign restrictions slack capacity (Fig.

Br¨uggemann and Jahnke (1994, p. 755) for the DLSP and Suerie (2005c, p. 98) for the CLSPL. 52 Note that this problem is only relevant for models with the preservation of setup states and, hence, does not apply to the MLCLSP. 53 See the formulation of the Multi-Level Proportional Lot-sizing and Scheduling Problem (MLPLSP) in Kimms (1996, p. 87). 54 This modeling is only exact if exogenous lead times of this duration occur. For single-machine problems, Stadtler (2008) has proposed an extension of the MLPLSP, which allows the modeling of zero lead times.

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