Pig procurement plan considering pig growth and size distribution

Different pig size distributions in fattening units can prevent a pig procurement plan from achieving optimal results. Plans that fail to consider the pig size distribution and pig growth are not likely to be able to cost-effectively satisfy demand for each pig size. This paper demonstrates the use of a heuristic algorithm, pig size distribution, and pig growth to create a procurement plan. The performance of the developed procurement method is compared to the traditional practices of a company studied here. The results indicate that the company is likely to save approximately 9.52% of procurement costs by adopting the proposed method. The same problems were also investigated at an industrially relevant scale, and the computational time of the proposed heuristic was found to be reasonable. Thus, the pig industry is likely to benefit from the method developed here.

[1]  Paul V. Preckel,et al.  Nutrition and the Economics of Swine Management , 1999, Journal of Agricultural and Applied Economics.

[2]  Aalt A. Dijkhuizen,et al.  An economic comparison of management strategies on reproduction and replacement in sow herds using a dynamic probabilistic model. , 1992 .

[3]  Laurence A. Wolsey,et al.  Multi-item lot-sizing problems using strong cutting planes , 1991 .

[4]  Anders Ringgaard Kristensen,et al.  Hierarchic Markov processes and their applications in replacement models , 1988 .

[5]  Devindar Singh Simulation of swine herd population dynamics , 1986 .

[6]  D. W. Pethick,et al.  The pattern of fat and lean muscle tissue deposition differs in the different pork primal cuts of female pigs during the finisher growth phase , 2004 .

[7]  Anders Ringgaard Kristensen,et al.  A sow replacement model using Bayesian updating in a three-level hierarchic Markov process , 2004 .

[8]  Safia Kedad-Sidhoum,et al.  The multi-item capacitated lot-sizing problem with setup times and shortage costs , 2008, Eur. J. Oper. Res..

[9]  Wai Keung Wong,et al.  A Genetic-Algorithm-Based Optimization Model for Solving the Flexible Assembly Line Balancing Problem With Work Sharing and Workstation Revisiting , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[10]  Anders Ringgaard Kristensen,et al.  A sow replacement model using Bayesian updating in a three-level hierarchic Markov process: II. Optimization model , 2004 .

[11]  Linda van Norden,et al.  Multi-product lot-sizing with a transportation capacity reservation contract , 2005, Eur. J. Oper. Res..

[12]  W J Costello,et al.  Characterization of muscles from boars, barrows, and gilts slaughtered at 100 or 110 kilograms: differences in fat, moisture, color, water-holding capacity, and collagen. , 1999, Journal of animal science.

[13]  Ozden Ustun,et al.  Multi-period lot-sizing with supplier selection using achievement scalarizing functions , 2008, Comput. Ind. Eng..

[14]  Mehrdad Tamiz,et al.  Multi-objective meta-heuristics: An overview of the current state-of-the-art , 2002, Eur. J. Oper. Res..

[15]  S. Minner A comparison of simple heuristics for multi-product dynamic demand lot-sizing with limited warehouse capacity , 2009 .

[16]  Ruud B.M. Huirne,et al.  Economic optimization of sow replacement decisions on the personal computer by method of stochastic dynamic programming , 1991 .

[17]  Supachai Pathumnakul,et al.  Procurement decisions regarding shrimp supplies for Thai shrimp processors , 2007 .

[18]  Joachim Krieter,et al.  The analysis of simulated sow herd datasets using decision tree technique , 2004 .

[19]  Ruud B.M. Huirne,et al.  Economic optimization of pork production-marketing chains: I Model input on animal welfare and costs. , 1997 .

[20]  Jafar Rezaei,et al.  A deterministic, multi-item inventory model with supplier selection and imperfect quality , 2008 .

[21]  J. Pomar,et al.  A knowledge-based decision support system to improve sow farm productivity , 2005, Expert Syst. Appl..

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

[23]  R Lázaro,et al.  Effect of gender and castration of females and slaughter weight on performance and carcass and meat quality of Iberian pigs reared under intensive management systems. , 2008, Meat science.

[24]  Lluis M. Pla,et al.  Review of mathematical models for sow herd management , 2007 .

[25]  M. A. Boland,et al.  Optimal Hog Slaughter Weights Under Alternative Pricing Systems , 1993, Journal of Agricultural and Applied Economics.

[26]  Anders Ringgaard Kristensen A general software system for Markov decision processes in herd management applications , 2003 .

[27]  Philip C. Jones,et al.  An integer programming model for optimal pork marketing , 2011, Ann. Oper. Res..

[28]  Aalt A. Dijkhuizen,et al.  Economic optimization of culling strategies in swine breeding herds, using the PorkCHOP Computer Program. , 1986 .

[29]  I. Hary,et al.  Derivation of steady state herd productivity using stage-structured population models and mathematical programming , 2004 .

[30]  Xiangtong Qi,et al.  An acquisition policy for a multi-supplier system with a finite-time horizon , 2007, Comput. Oper. Res..

[31]  Babak Sohrabi,et al.  Inventory lot-sizing with supplier selection using hybrid intelligent algorithm , 2008, Appl. Soft Comput..

[32]  Jafar Razmi,et al.  Scatter search algorithm for supplier selection and order lot sizing under multiple price discount environment , 2009, Adv. Eng. Softw..

[33]  Safia Kedad-Sidhoum,et al.  The multi-item capacitated lot-sizing problem with safety stocks and demand shortage costs , 2009, Comput. Oper. Res..

[34]  J. Rezaei,et al.  Multi-objective models for lot-sizing with supplier selection , 2011 .

[35]  B. Mullan,et al.  The effect of genotype, sex and management strategy on the eating quality of pork. , 2002, Meat science.

[36]  E. Yus,et al.  Effects of management, environmental and temporal factors on mortality and feed consumption in integrated swine fattening farms , 2009 .

[37]  Janny Leung,et al.  Inventory lot-sizing with supplier selection , 2005, Comput. Oper. Res..

[38]  Stéphane Dauzère-Pérès,et al.  Hammamet -tunisia " Evaluation and Optimization of Innovative Production Systems of Goods and Services " Heuristics for the Multi-item Capacitated Lot-sizing Problem with Lost Sales , 2022 .

[39]  Zeger Degraeve,et al.  Meta-heuristics for dynamic lot sizing: A review and comparison of solution approaches , 2004, Eur. J. Oper. Res..

[40]  Sung-Jin Cho,et al.  A heuristic algorithm for a multi-product dynamic lot-sizing and shipping problem , 2005 .

[41]  S.Y.S. Leung,et al.  A hybrid intelligent model for order allocation planning in make-to-order manufacturing , 2013, Appl. Soft Comput..

[42]  Paul V. Preckel,et al.  Analysis of Economically Optimal Nutrition and Marketing Strategies for Paylean® Usage in Hog Production , 2003 .

[43]  J. Rittscher,et al.  Integration of supplier selection, procurement lot sizing and carrier selection under dynamic demand conditions , 2007 .