TY - JOUR
T1 - Advanced planning and scheduling with collaboration processes in agile supply and demand networks
AU - Kristianto, Yohanes
AU - Ajmal, Mian M.
AU - Helo, Petri
PY - 2011/2/1
Y1 - 2011/2/1
N2 - Purpose: The 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/approach: Some 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. Findings: The 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/implications: Since 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 implications: The 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/value: The attachment of APS with collaboration process business into ASDN represents the original aspect of this paper.
AB - Purpose: The 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/approach: Some 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. Findings: The 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/implications: Since 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 implications: The 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/value: The attachment of APS with collaboration process business into ASDN represents the original aspect of this paper.
KW - Flexible labour
KW - Market share
KW - Production scheduling
KW - Supply chain management
KW - Value chain
UR - http://www.scopus.com/inward/record.url?scp=79551500786&partnerID=8YFLogxK
U2 - 10.1108/14637151111105607
DO - 10.1108/14637151111105607
M3 - Journal article
AN - SCOPUS:79551500786
SN - 1463-7154
VL - 17
SP - 107
EP - 126
JO - Business Process Management Journal
JF - Business Process Management Journal
IS - 1
ER -