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Multicriteria Scheduling: Theory, Models and Algorithms

Vincent T’kindt Jean-Charles Billaut

Second Edition.

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

Operation Research/Decision Theory; Operating Systems; Operations Management

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2006 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-3-540-28230-3

ISBN electrónico

978-3-540-24789-0

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag Berlin Heidelberg 2006

Cobertura temática

Tabla de contenidos

Introduction

Vincent T’kindt; Jean-Charles Billaut

The difficulty with the data extracted from MYFOOD’s ERP system was that the system does not record any absolute values of the stock level. This means that it is not possible to determine ex post the quantity of goods there were for a certain product on a specific day. In addition, MYFOOD interviewees stressed the inaccuracy of the inventory records. This statement is supported by physical audits (see Figure 49) and by other researchers (e.g. ). The only available data was relative, i.e. showing how many units were delivered and how many units left the store on a certain day. With this data it is possible to determine the stock level curve, but without knowing at which height on the y-axis the curve is (see Figure 57).

Pp. 1-3

Introduction to scheduling

Vincent T’kindt; Jean-Charles Billaut

The difficulty with the data extracted from MYFOOD’s ERP system was that the system does not record any absolute values of the stock level. This means that it is not possible to determine ex post the quantity of goods there were for a certain product on a specific day. In addition, MYFOOD interviewees stressed the inaccuracy of the inventory records. This statement is supported by physical audits (see Figure 49) and by other researchers (e.g. ). The only available data was relative, i.e. showing how many units were delivered and how many units left the store on a certain day. With this data it is possible to determine the stock level curve, but without knowing at which height on the y-axis the curve is (see Figure 57).

Pp. 5-27

Complexity of problems and algorithms

Vincent T’kindt; Jean-Charles Billaut

The difficulty with the data extracted from MYFOOD’s ERP system was that the system does not record any absolute values of the stock level. This means that it is not possible to determine ex post the quantity of goods there were for a certain product on a specific day. In addition, MYFOOD interviewees stressed the inaccuracy of the inventory records. This statement is supported by physical audits (see Figure 49) and by other researchers (e.g. ). The only available data was relative, i.e. showing how many units were delivered and how many units left the store on a certain day. With this data it is possible to determine the stock level curve, but without knowing at which height on the y-axis the curve is (see Figure 57).

Pp. 29-52

Multicriteria optimisation theory

Vincent T’kindt; Jean-Charles Billaut

The difficulty with the data extracted from MYFOOD’s ERP system was that the system does not record any absolute values of the stock level. This means that it is not possible to determine ex post the quantity of goods there were for a certain product on a specific day. In addition, MYFOOD interviewees stressed the inaccuracy of the inventory records. This statement is supported by physical audits (see Figure 49) and by other researchers (e.g. ). The only available data was relative, i.e. showing how many units were delivered and how many units left the store on a certain day. With this data it is possible to determine the stock level curve, but without knowing at which height on the y-axis the curve is (see Figure 57).

Pp. 53-112

An approach to multicriteria scheduling problems

Vincent T’kindt; Jean-Charles Billaut

The difficulty with the data extracted from MYFOOD’s ERP system was that the system does not record any absolute values of the stock level. This means that it is not possible to determine ex post the quantity of goods there were for a certain product on a specific day. In addition, MYFOOD interviewees stressed the inaccuracy of the inventory records. This statement is supported by physical audits (see Figure 49) and by other researchers (e.g. ). The only available data was relative, i.e. showing how many units were delivered and how many units left the store on a certain day. With this data it is possible to determine the stock level curve, but without knowing at which height on the y-axis the curve is (see Figure 57).

Pp. 113-134

Just-in-Time scheduling problems

Vincent T’kindt; Jean-Charles Billaut

The difficulty with the data extracted from MYFOOD’s ERP system was that the system does not record any absolute values of the stock level. This means that it is not possible to determine ex post the quantity of goods there were for a certain product on a specific day. In addition, MYFOOD interviewees stressed the inaccuracy of the inventory records. This statement is supported by physical audits (see Figure 49) and by other researchers (e.g. ). The only available data was relative, i.e. showing how many units were delivered and how many units left the store on a certain day. With this data it is possible to determine the stock level curve, but without knowing at which height on the y-axis the curve is (see Figure 57).

Pp. 135-191

Robustness considerations

Vincent T’kindt; Jean-Charles Billaut

The difficulty with the data extracted from MYFOOD’s ERP system was that the system does not record any absolute values of the stock level. This means that it is not possible to determine ex post the quantity of goods there were for a certain product on a specific day. In addition, MYFOOD interviewees stressed the inaccuracy of the inventory records. This statement is supported by physical audits (see Figure 49) and by other researchers (e.g. ). The only available data was relative, i.e. showing how many units were delivered and how many units left the store on a certain day. With this data it is possible to determine the stock level curve, but without knowing at which height on the y-axis the curve is (see Figure 57).

Pp. 193-206

Single machine problems

Vincent T’kindt; Jean-Charles Billaut

The difficulty with the data extracted from MYFOOD’s ERP system was that the system does not record any absolute values of the stock level. This means that it is not possible to determine ex post the quantity of goods there were for a certain product on a specific day. In addition, MYFOOD interviewees stressed the inaccuracy of the inventory records. This statement is supported by physical audits (see Figure 49) and by other researchers (e.g. ). The only available data was relative, i.e. showing how many units were delivered and how many units left the store on a certain day. With this data it is possible to determine the stock level curve, but without knowing at which height on the y-axis the curve is (see Figure 57).

Pp. 207-234

Shop problems

Vincent T’kindt; Jean-Charles Billaut

The difficulty with the data extracted from MYFOOD’s ERP system was that the system does not record any absolute values of the stock level. This means that it is not possible to determine ex post the quantity of goods there were for a certain product on a specific day. In addition, MYFOOD interviewees stressed the inaccuracy of the inventory records. This statement is supported by physical audits (see Figure 49) and by other researchers (e.g. ). The only available data was relative, i.e. showing how many units were delivered and how many units left the store on a certain day. With this data it is possible to determine the stock level curve, but without knowing at which height on the y-axis the curve is (see Figure 57).

Pp. 235-286

Parallel machines problems

Vincent T’kindt; Jean-Charles Billaut

The difficulty with the data extracted from MYFOOD’s ERP system was that the system does not record any absolute values of the stock level. This means that it is not possible to determine ex post the quantity of goods there were for a certain product on a specific day. In addition, MYFOOD interviewees stressed the inaccuracy of the inventory records. This statement is supported by physical audits (see Figure 49) and by other researchers (e.g. ). The only available data was relative, i.e. showing how many units were delivered and how many units left the store on a certain day. With this data it is possible to determine the stock level curve, but without knowing at which height on the y-axis the curve is (see Figure 57).

Pp. 287-314