2003
DOI: 10.1016/s0925-5273(03)00113-0
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Production planning of a multi-site manufacturing system by hybrid modelling: A case study from the automotive industry

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Cited by 140 publications
(46 citation statements)
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“…The goal of these decisions is to handle incoming customer orders in the best possible way, given the already set supply chain design and planning policies. At the operational level the main problems pursued are lot sizes, replenishment orders, and service levels [51].…”
Section: Distinguishing Between Strategic and Operational/tactical Lsmentioning
confidence: 99%
“…The goal of these decisions is to handle incoming customer orders in the best possible way, given the already set supply chain design and planning policies. At the operational level the main problems pursued are lot sizes, replenishment orders, and service levels [51].…”
Section: Distinguishing Between Strategic and Operational/tactical Lsmentioning
confidence: 99%
“…Each plant outsources some components to suppliers for producing a product and selects the best one to collaborate with. The distributed production planning in this paper was aimed at the lowest total cost by scheduling the operations but not allocating the optimal production quantities Gnoni et al (2003) have dealt with lot sizing and scheduling problem (LSSP) of a multi-site manufacturing system with capacity constraints and uncertain multi-product and multi-period demand. They used a hybrid model combining a mixed-integer linear programming model with a simulation one to solve LSSP.…”
Section: Distributed Production Planningmentioning
confidence: 99%
“…Finally, it should be noted that the general structure of the proposed approach naturally would allow the consideration of other types of problems, especially such, where the physical problem provides a basis for decomposition. (Gnoni et al, 2003) present a case study from the automotive industry dealing with the lot sizing and scheduling decisions in a multi-site manufacturing system with uncertain multi-product and multi-period demand. They use a hybrid approach which combines mixedinteger linear programming model and simulation to test local and global production strategies.…”
Section: Literature Reviewmentioning
confidence: 99%