The beverage market has become very dynamic and competitive, and wine marketing strategies involve, besides the quality aspect, the aspect of precise order delivery. Moreover, bottling plant planning is difficult, as consumer demand is highly influenced by seasonality and many different types of packaging are requested. This article presents a new scheduling method for planning bottling activities in modern wineries. The bottling plant has been assumed as a single-machine job shop where wine orders of different amounts and due dates must be processed. In order to limit the complexity introduced by the large number of variables and constraints, the sequencing has been obtained by means of a two-step procedure based on mixed-integer linear programming (MILP) algorithms. The optimization takes into account, for each wine type, data on production rates, storage levels, minimum batch size, labor and storage costs, and risk due to not having the minimum storage and having lost sales. The method operates on a finite time horizon, typically four weeks, with recursive rescheduling each week. The effectiveness of the proposed method is shown by an example using data collected in a large winery in the Piedmont region of Italy.

Wine bottling scheduling optimization

BERRUTO, Remigio;TORTIA, Cristina;GAY, Paolo
2006

Abstract

The beverage market has become very dynamic and competitive, and wine marketing strategies involve, besides the quality aspect, the aspect of precise order delivery. Moreover, bottling plant planning is difficult, as consumer demand is highly influenced by seasonality and many different types of packaging are requested. This article presents a new scheduling method for planning bottling activities in modern wineries. The bottling plant has been assumed as a single-machine job shop where wine orders of different amounts and due dates must be processed. In order to limit the complexity introduced by the large number of variables and constraints, the sequencing has been obtained by means of a two-step procedure based on mixed-integer linear programming (MILP) algorithms. The optimization takes into account, for each wine type, data on production rates, storage levels, minimum batch size, labor and storage costs, and risk due to not having the minimum storage and having lost sales. The method operates on a finite time horizon, typically four weeks, with recursive rescheduling each week. The effectiveness of the proposed method is shown by an example using data collected in a large winery in the Piedmont region of Italy.
49
1
291
295
MILP; Scheduling; Wine bottling
R. BERRUTO; C. TORTIA; P. GAY
File in questo prodotto:
File Dimensione Formato  
Wine bottling scheduling optimization.pdf

Accesso riservato

Descrizione: pdf editoriale
Tipo di file: PDF EDITORIALE
Dimensione 100.82 kB
Formato Adobe PDF
100.82 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/104220
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 9
  • ???jsp.display-item.citation.isi??? 7
social impact