Operational extended model formulations for Advanced Planning and Scheduling systems

Advanced Planning and Scheduling Systems: Modeling and Implementation Challenges

“…At business objective level, the family of APS systems can be defined by the following common objectives (de Santa-Eulalia et al, 2011;Bitran and Tirupati, 1989;Öztürk and Ornek, 2014;Fleischmann et al, 2005): (1) to minimize losses of the material, financial, workforce and other recourses; (2) to better manage the risks and more adequately respond to them; (3) to increase robustness and agility of the production and other plans; (4) to reduce planning time and to improve responsiveness of the planning system; (5) to link the strategic, tactical, and operational level planning decisions in more effective way, emphasizing the integration of planning and scheduling processes; (6) to increase the integration of the internal supply chain; (7) to extend the risk management from an internal to an external supply chain point-of-view (holistic optimization) paying more attention to the stochastic behavior of this chain and to the multi-tier collaboration among its entities (collaborative planning); and (8) to make the order fulfillment and other processes more transparent.…”

“…Although the list of features supported by an APS system depends on branch of industry and many other circumstances, the analysis of the population of such systems shows (Hvolby and Steger-Jensen, 2010;Öztürk and Ornek, 2014;Bubenik, 2011;de Santa-Eulalia et al, 2011) that almost all APS systems have the following features:…”

An Overview of the Advanced Planning and Scheduling Systems

“…In the 1990s, a new breed of concepts called APS systems emerged (ÖZTÜRK;ORNEK, 2014). APS systems are a set of applications used for managing three domains of supply chain operations: planning, programming and execution .…”

A Constraint Programming Method for Advanced Planning and Scheduling System with Multilevel Structured Products

“…Chen and Ji present a mixed integer programming model explicitly considering capacity constraints, operation sequence, lead times, and due dates in a multiorder environment [6].Örenk et al extend this model to the situation that an operation can be assigned to alternative machines [7]. The extensions to the basic model include sequence dependent setups and transfer times between machines [8]. Although mathematical programming and heuristic algorithms are widely used, their obstacles are also obvious.…”