Sales and Operations Planning in Company Supply Chain Based on Heuristics and Data Warehousing Technology
نویسندگان
چکیده
Traditional sales and operations planning (S&OP) focus on coordination in sales, production and inventory. The most obvious drawback is to manipulate various operational data during the planning meeting. To improve existing manual process of balancing between demand and supply, the integrated architecture of S&OP in supply chain based on Data Warehousing (DW) technology has been presented, which includes three layers: Data transformation layer with extracting raw operational data from business information systems, middle layer with planning solving engine provides the heuristics of decision mechanisms and top layer provides an interface for managers to connect simulations of the desired scenarios. In this paper, we focus on designing multidimensional model and heuristics for S&OP. It is anticipated that planning effort and time will reduce.
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