Production and logistics planning considering circulation taxes in a multi-plant seed corn company

Enterprises that experience rapid growth, changing towards multi-plant configurations, face a wide range of opportunities in terms of cost reduction in production and logistics activities. In the case of seed corn companies, splitting the industrial processes into preparing raw materials and processing dried grains can be relevant to effectively configure a logistics network, taking into account the impact of goods and services circulation taxes and additional costs of drying spikes, besides transportation cost. In this paper, we study the application of a linear programming model to support decisions in the tactical planning of production, storing and transportation of seed corn in a whole season of a typical Brazilian multi-plant seed corn company. The results showed important opportunities for production and logistics cost reduction by using the proposed model, particularly because of the consideration of tax planning. Based on these results, decision makers of the company changed some transport policies, working shifts and process conceptions.

[1]  Way Kuo,et al.  Application of Mathematical Programming to a Large-scale Agricultural Production and Distribution System , 1991 .

[2]  João Almir Oliveira EFEITO DO MÉTODO DE COLHEITA NA QUALIDADE FÍSICA, FISIOLÓGICA E SANITÁRIA DE SEMENTES DE MILHO 1 , 1997 .

[3]  Timothy J. Lowe,et al.  Matching Supply and Demand: The Value of a Second Chance in Producing Hybrid Seed Corn , 2001, Manuf. Serv. Oper. Manag..

[4]  Steven Nahmias,et al.  Production and operations analysis , 1992 .

[5]  Matt Bassett,et al.  Optimizing the design of global supply chains at Dow AgroSciences , 2010, Comput. Chem. Eng..

[6]  Timothy J. Lowe,et al.  Coordinating the supply chain in the agricultural seed industry , 2008, Eur. J. Oper. Res..

[7]  C.A.C. Kuip,et al.  Algebraic languages for mathematical programming , 1993 .

[8]  Hugo Tsugunobu Yoshida Yoshizaki,et al.  Decentralizing Ethanol Distribution in Southeastern Brazil , 1996 .

[9]  Begoña Vitoriano,et al.  Two alternative models for farm management: Discrete versus continuous time horizon , 2003, Eur. J. Oper. Res..

[10]  Reinaldo Morabito,et al.  A Goal Programming Model for Frozen Concentrated Orange Juice Production and Distribution Systems , 2001 .

[11]  Rogério de Ávila Ribeiro Junqueira,et al.  Planejamento otimizado da produção e logística de empresas produtoras de sementes de milho: um estudo de caso , 2008 .

[12]  Reinaldo Morabito,et al.  An optimization model for the aggregate production planning of a Brazilian sugar and ethanol milling company , 2009, Ann. Oper. Res..

[13]  Débora P. Ronconi,et al.  Optimizing transportation and storage of final products in the sugar and ethanol industry: a case study , 2006, Int. Trans. Oper. Res..

[14]  Arnoldo C. Hax,et al.  Production and inventory management , 1983 .

[15]  Miguel Taube-Netto,et al.  Integrated Planning for Poultry Production at Sadia , 1996 .

[16]  Empirical Tax Research in Accounting , 2001 .

[17]  Reinaldo Morabito,et al.  Um modelo de otimização linear para o planejamento agregado da produção e logística de sementes de milho , 2006 .

[18]  Matt Bassett,et al.  Designing optimal global supply chains at Dow AgroSciences , 2013, Ann. Oper. Res..

[19]  Jesus René Villalobos,et al.  Application of planning models in the agri-food supply chain: A review , 2009, Eur. J. Oper. Res..

[20]  Tamio Shimizu,et al.  Otimização do custo de transporte na distribuição-armazenagem de açúcar , 1999 .

[21]  Jeremy F. Shapiro,et al.  Mathematical programming models and methods for production planning and scheduling , 1988 .

[22]  Caroline Lejars,et al.  A decision support approach for cane supply management within a sugar mill area , 2008 .

[23]  C. N. Bezuidenhout,et al.  Coupled modelling of sugarcane supply planning and logistics as a management tool , 2009 .

[24]  José Vicente Caixeta-Filho,et al.  Special Issue: Franz Edelman Award for Achievement in Operations Research and the Management Sciences: Optimization of the Production Planning and Trade of Lily Flowers at Jan de Wit Company , 2002, Interfaces.

[25]  David Kendrick,et al.  GAMS, a user's guide , 1988, SGNM.

[26]  J. Shapiro Modeling the Supply Chain , 2000 .

[27]  Timothy J. Lowe,et al.  Special Issue: 2002 Franz Edelman Award for Achievement in Operations Research and the Management Sciences: Managing the Seed-Corn Supply Chain at Syngenta , 2003, Interfaces.

[28]  Nukala Viswanadham,et al.  A Tax Integrated Approach for Global Supply Chain Network Planning , 2008, IEEE Transactions on Automation Science and Engineering.