Commenced in January 2007
Paper Count: 30172
A Design of Supply Chain Management System with Flexible Planning Capability
Abstract:In production planning (PP) periods with excess capacity and growing demand, the manufacturers have two options to use the excess capacity. First, it could do more changeovers and thus reduce lot sizes, inventories, and inventory costs. Second, it could produce in excess of demand in the period and build additional inventory that can be used to satisfy future demand increments, thus delaying the purchase of the next machine that is required to meet the growth in demand. In this study we propose an enhanced supply chain planning model with flexible planning capability. In addition, a 3D supply chain planning system is illustrated.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1073251Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1189
 G. Buxey, "A managerial perspective on aggregate planning", International Journal of Production Economics, vol. 41, no. 1/3, pp. 127-133, 1993.
 S. C. Graves, "A review of production scheduling", Operations Research, vol. 29, no. 4, pp. 646-675, 1981.
 B. L. MacCarthy, J. Liu, Addressing the gap in scheduling research: a review of optimization and heuristic methods in production scheduling, International Journal of Production Research, vol. 31, no. 1, pp. 59-79, 1993.
 S. Nam, R. Logendran, Aggregate production planning - a survey of models and methodologies, European Journal of Operational Research, vol. 61, no. 3, pp. 255-272, 1992.
 S. Rajagopalan, J. M. Swaminathan, A coordinated production planning model with capacity expansion and inventory management, Management Science, vol. 47, no. 11, pp. 1562-1580, 2001.
 M. R. Rao, Optimal capacity expansion with inventory, Operations Research, vol. 24, no. 2, pp. 291-300, 1976.
 J. Singhal and K. Singhal, Alternate approaches to solving the Holt et al. model and to performing sensitivity analysis, European Journal of Operational Research, vol. 91, no. 1, pp. 89-98, 1996.
 NASA (National Aeronautics and Space Administration) World Wind SDK: http://worldwind.arc.nasa.gov.