Abstract

PurposeThe general purpose of the paper is to improve supply chain (SC) responsiveness and agility by developing advanced planning and scheduling (APS) with collaboration process into agile supply and demand networks (ASDN).Design/methodology/approachSome industrial examples are presented to extract the APS requirements, then business models that are supported by analytical models are developed into APS modules to respond to the requirements. At the end, the modules are attached into an ASDN simulator to measure the benefit of the APS with collaboration process.FindingsThe results show that the APS with collaboration process is superior to existing APS software in terms of promising lead times to customers at minimum inventory level.Research limitations/implicationsSince the APS with collaboration process cannot optimize transportation planning, SCs cannot therefore optimize networks by finding the optimum network configuration. Currently, the simulator needs to be tested in several possible network scenarios to find the optimal network configuration.Practical implicationsThe APS with collaboration process makes it possible to give guaranteed lead times at minimum inventory level. Furthermore, it is possible to combine the APS with collaboration process with enterprise resources planning or MRP II by considering the criticality of the planning.Originality/valueThe attachment of APS with collaboration process business into ASDN represents the original aspect of this paper.

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