Numerical Approach to an Optimal Multi-Item Imperfect production Control Problem in uncertain Environment

In this paper, some multi-item imperfect production-inventory models without shortages for defective and deteriorating items with uncertain/imprecise holding and production costs and resource constraint have been formulated and solved for optimal production. Here, the rate of production is assumed to be a function of time and considered as a control variable. Also the demand is time dependent and known. Uncertain or imprecise space constraint is also considered. The uncertain and imprecise holding and production costs are represented by uncertain and fuzzy variables respectively. These are converted to crisp constraint/numbers using uncertain measure theory for uncertain variable and possibility/necessity measure for fuzzy variable. The multi-item production inventory model is formulated as a constrained single objective cost minimization problem with the help of global criteria method. The reduced problem is then solved using Kuhn-Tucker conditions and generalized reduced gradient(GRG-LINGO 10.0) techniq...

[1]  Urmila M. Diwekar,et al.  Introduction to Applied Optimization , 2020, Springer Optimization and Its Applications.

[2]  Didier Dubois,et al.  Possibility Theory - An Approach to Computerized Processing of Uncertainty , 1988 .

[3]  Tuan-Fang Fan,et al.  Dominance-based fuzzy rough set analysis of uncertain and possibilistic data tables , 2011, Int. J. Approx. Reason..

[4]  Myung-Sub Park,et al.  Inventory models for imperfect production and inspection processes with various inspection options under one-time and continuous improvement investment , 2012, Comput. Oper. Res..

[5]  Yian-Kui Liu,et al.  Expected value of fuzzy variable and fuzzy expected value models , 2002, IEEE Trans. Fuzzy Syst..

[6]  Jean-Philippe Gayon,et al.  Control of a production-inventory system with returns under imperfect advance return information , 2012, Eur. J. Oper. Res..

[7]  K. S. Chaudhuri,et al.  A production-inventory model for a deteriorating item with trended demand and shortages , 2004, Eur. J. Oper. Res..

[8]  Juite Wang,et al.  Fuzzy decision modeling for supply chain management , 2005, Fuzzy Sets Syst..

[9]  Barun Das,et al.  A fuzzy simulation via contractive mapping genetic algorithm approach to an imprecise production inventory model under volume flexibility , 2013, J. Simulation.

[10]  Evan L. Porteus Optimal Lot Sizing, Process Quality Improvement and Setup Cost Reduction , 1986, Oper. Res..

[11]  Kaisa Miettinen,et al.  Nonlinear multiobjective optimization , 1998, International series in operations research and management science.

[12]  Shanlin Yang,et al.  A new variable production scheduling strategy for deteriorating items with time-varying demand and partial lost sale , 2003, Comput. Oper. Res..

[13]  Ying Sai,et al.  Invertible approximation operators of generalized rough sets and fuzzy rough sets , 2010, Inf. Sci..

[14]  Manoranjan Maiti,et al.  Numerical Approach of Multi-Objective Optimal Control Problem in Imprecise Environment , 2005, Fuzzy Optim. Decis. Mak..

[15]  Bibhas C. Giri,et al.  Joint determination of optimal safety stocks and production policy for an imperfect production system , 2012 .

[16]  Baoding Liu,et al.  Uncertainty Theory - A Branch of Mathematics for Modeling Human Uncertainty , 2011, Studies in Computational Intelligence.

[17]  M. K. Salameh,et al.  Economic production quantity model for items with imperfect quality , 2000 .

[18]  G. Padmanabhan,et al.  Analysis of multi-item inventory systems under resource constraints: A non-linear goal programming approach , 1990 .

[19]  Samarjit Kar,et al.  A volume flexible economic production lot-sizing problem with imperfect quality and random machine failure in fuzzy-stochastic environment , 2011, Comput. Math. Appl..

[20]  K. S. Chaudhuri,et al.  An optimal inventory replenishment policy for a deteriorating item with time-quadratic demand and time-dependent partial backlogging with shortages in all cycles , 2012, Appl. Math. Comput..

[21]  János D. Pintér,et al.  Introduction to Applied Optimization , 2007, Eur. J. Oper. Res..

[22]  M. A. Hall,et al.  The analysis of an inventory control model using posynomial geometric programming , 1982 .

[23]  Manoranjan Maiti,et al.  A numerical approach to a multi-objective optimal inventory control problem for deteriorating multi-items under fuzzy inflation and discounting , 2008, Comput. Math. Appl..

[24]  Dominique Bonvin,et al.  Optimal operation of batch reactors—a personal view , 1998 .

[25]  Baoding Liu Some Research Problems in Uncertainty Theory , 2009 .