Logistic platform, planning and scheduling
Identifieur interne : 002971 ( Main/Exploration ); précédent : 002970; suivant : 002972Logistic platform, planning and scheduling
Auteurs : Susana Carrera [France]Source :
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Abstract
The aim of this thesis is to provide decision support systems to control logistic platforms at the mid-term and short-term levels. Several problems and main notions concerning logistic Platform context are described in the first part. In the second part, planning problems are studied. Two linear programming models are proposed to minimize the workforce costs. These models take into account several characteristics: seasonal flow variations work and flow organization in the Platform, and local negotiations of the upstream and downstream flows. In consequence, our decision support system can be used in the flow coordination between flows. In consequence, our decision support system can be used in the flow coordination between supply chain partners. Two types of negotiation of delivery dates. These models have been tested on pertinent randomly generated instances inspired from concrete problems. In the third part of this thesis, the external flows of the Platform are assumed to be fixed. Orders preparation scheduling problem Inside the Platform is considered. Two families of strong constraints are combined: staircase availability of components (consumable resources) and fixed delivery dates. According to the way the downstream deliveries are organized and penalized, three different cases (based on industrial applications) have been studied. We proposed three branch and bound procedures for these problems, and an integer linear program for the easiest problem. Experimental analysis has been done over heterogeneous randomly generated instance families. In the last part, a series of perspectives for this work are proposed.
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Several problems and main notions concerning logistic Platform context are described in the first part. In the second part, planning problems are studied. Two linear programming models are proposed to minimize the workforce costs. These models take into account several characteristics: seasonal flow variations work and flow organization in the Platform, and local negotiations of the upstream and downstream flows. In consequence, our decision support system can be used in the flow coordination between flows. In consequence, our decision support system can be used in the flow coordination between supply chain partners. Two types of negotiation of delivery dates. These models have been tested on pertinent randomly generated instances inspired from concrete problems. In the third part of this thesis, the external flows of the Platform are assumed to be fixed. Orders preparation scheduling problem Inside the Platform is considered. Two families of strong constraints are combined: staircase availability of components (consumable resources) and fixed delivery dates. According to the way the downstream deliveries are organized and penalized, three different cases (based on industrial applications) have been studied. We proposed three branch and bound procedures for these problems, and an integer linear program for the easiest problem. Experimental analysis has been done over heterogeneous randomly generated instance families. In the last part, a series of perspectives for this work are proposed.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Metz</li><li>Nancy</li></settlement><orgName><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Carrera, Susana" sort="Carrera, Susana" uniqKey="Carrera S" first="Susana" last="Carrera">Susana Carrera</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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