Production planning and scheduling optimization model: a case of study for a glass container company

Based on a case study, this paper deals with the production planning and scheduling problem of the glass container industry. This is a facility production system that has a set of furnaces where the glass is produced in order to meet the demand, being afterwards distributed to a set of parallel molding machines. Due to huge setup times involved in a color changeover, manufacturers adopt their own mix of furnaces and machines to meet the needs of their customers as flexibly and efficiently as possible. In this paper we proposed an optimization model that maximizes the fulfillment of the demand considering typical constraints from the planning production formulation as well as real case production constraints such as the limited product changeovers and the minimum run length in a machine. The complexity of the proposed model is assessed by means of an industrial real instance.

[1]  Wu-Lin Chen,et al.  Multi-tier and multi-site collaborative production: Illustrated by a case example of TFT-LCD manufacturing , 2009, Comput. Ind. Eng..

[2]  Claudio Fabiano Motta Toledo,et al.  Glass container production scheduling through hybrid multi-population based evolutionary algorithm , 2013, Appl. Soft Comput..

[3]  Claudio Fabiano Motta Toledo,et al.  Mathematical programming-based approaches for multi-facility glass container production planning , 2016, Comput. Oper. Res..

[4]  M. Ball.  Heuristics based on mathematical programming , 2011 .

[5]  R. J. Paul.  A Production Scheduling Problem in the Glass-Container Industry , 1979, Oper. Res..

[6]  Bernardo Almada-Lobo,et al.  Tactical production and distribution planning with dependency issues on the production process , 2017 .

[7]  Ross J. W. James,et al.  Single and parallel machine capacitated lotsizing and scheduling: New iterative MIP-based neighborhood search heuristics , 2011, Comput. Oper. Res..

[8]  Maria Antónia Carravilla,et al.  Production planning and scheduling in the glass container industry: A VNS approach , 2008 .

[9]  Sima Mukhopadhyay,et al.  Design and implementation of an integrated production planning system for a pharmaceutical manufacturing concern in India , 1998 .

[10]  Horst Tempelmeier,et al.  Simultaneous lotsizing and scheduling problems: a classification and review of models , 2017, OR Spectr..

[11]  Khaled M. Bataineh,et al.  Statistical Analyses and Modeling of the Implementation of Agile Manufacturing Tactics in Industrial Firms , 2012 .

[12]  Horst Tempelmeier,et al.  Solving a multi-level capacitated lot sizing problem with multi-period setup carry-over via a fix-and-optimize heuristic , 2009, Comput. Oper. Res..

[13]  Pankaj Setia,et al.  Realizing business value of agile IT applications: antecedents in the supply chain networks , 2008, Inf. Technol. Manag..

[14]  Reinaldo Morabito,et al.  Production planning in the molded pulp packaging industry , 2016, Comput. Ind. Eng..

[15]  Patrizia Beraldi,et al.  Rolling-horizon and fix-and-relax heuristics for the parallel machine lot-sizing and scheduling problem with sequence-dependent set-up costs , 2008, Comput. Oper. Res..

[16]  Diego Klabjan,et al.  Multiple machine continuous setup lotsizing with sequence-dependent setups , 2010, Comput. Optim. Appl..

[17]  Franklina Maria Bragion Toledo,et al.  HOPS - Hamming-Oriented Partition Search for production planning in the spinning industry , 2014, Eur. J. Oper. Res..