Multi-item Optimal control problem with fuzzy costs and constraints using Fuzzy variational principle
RAIRO - Operations Research - Recherche Opérationnelle, Tome 53 (2019) no. 3, pp. 1061-1082.

An imperfect multi-item production system is considered against time dependent demands for a finite time horizon. Here production is defective. Following [Khouja and Mehrez J. Oper. Res. Soc. 45 (1994) 1405–1417], unit production cost depends on production, raw-material and maintenance costs. Produced items have same fixed life-time. Warehouse capacity is limited and used as a constraint. Available space, production, stock and different costs are assumed as crisp or imprecise. With the above considerations, crisp and fuzzy constrained optimal control problems are formulated for the minimization of total cost consisting of raw-material, production and holding costs. These models are solved using conventional and fuzzy variational principles with equality constraint condition and no-stock as end conditions. For the first time, the inequality space constraint is converted into an equality constraint introducing a pseudo state variable following Bang Bang control. [Roul et al., J. Intell. Fuzzy Syst. 32 (2017) 565–577], as stock is mainly controlled by production, for the control problems production is taken as the control variable and stock as state variable. The reduced optimal control problem is solved by generalised reduced gradient method using Lingo-11.0. The models are illustrated numerically. For the fuzzy model, optimum results are obtained as fuzzy numbers expressed by their membership functions. From fuzzy results, crisp results are derived using α-cuts.

DOI : 10.1051/ro/2019022
Classification : 49J15, 49J30
Mots-clés : Fuzzy variational principle, finite time horizon, imperfect production, space constraint, imprecise inventory cost
Roul, Jotindra Nath 1 ; Maity, Kalipada 1 ; Kar, Samarjit 1 ; Maiti, Manoranjan 1

1
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     title = {Multi-item {Optimal} control problem with fuzzy costs and constraints using {Fuzzy} variational principle},
     journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
     pages = {1061--1082},
     publisher = {EDP-Sciences},
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Roul, Jotindra Nath; Maity, Kalipada; Kar, Samarjit; Maiti, Manoranjan. Multi-item Optimal control problem with fuzzy costs and constraints using Fuzzy variational principle. RAIRO - Operations Research - Recherche Opérationnelle, Tome 53 (2019) no. 3, pp. 1061-1082. doi : 10.1051/ro/2019022. http://www.numdam.org/articles/10.1051/ro/2019022/

K. Benalia, C. David and B. Oukacha, An optimal time control problem for the one-dimensional, linear heat equation, in the presence of a scaling parameter. RAIRO: OR 51, 1289–1299 (2017). | Zbl

S. Benjaafar, J.P. Gayon and S. Tepex, Optimal control of a production-inventory system with customer impatience. Oper. Res. Lett. 38, 267–272 (2010). | Zbl

U. Buscher, S. Rudert and C. Schwarz, A Note on: An optimal batch size for an imperfect production system with quality assurance and rework. Int. J. Prod. Res. 47, 7063–7067 (2009). | Zbl

J.J. Buckley and T. Feuring, Introduction to fuzzy partial differential equations. Fuzzy Set Syst. 105, 241–248 (1999). | Zbl

M. Chahim, R.F. Hart and P.M. Kort, A tutorial on the deterministic impulse control maximum principle: Necessary and sufficient optimality conditions. Eur. J. Oper. Res. 219, 18–26 (2012). | Zbl

J. Chai and E.W.T. Ngai, Multi-perspective strategic supplier selection in uncertain environments. Int. J. Prod. Econ. 166, 215–225 (2015).

C.K. Chen, C.C. Lo and T.C. Weng, Optimal production run length and warranty period for an imperfect production system under selling price dependent on warranty period. Eur. J. Oper. Res. 259, 401–412 (2017). | Zbl

B. Farhadinia, Necessary optimality conditions for fuzzy variational problems. Inf. Sci. 181, 1348–1357 (2011). | Zbl

G.A. Gabriel and K.M. Ragsdell, The generalized reduced gradient method. AMSE J. Eng. Ind. 99, 384–400 (1977).

Y.S. Huang, R.P. Wang and J.W. Ho, Determination of optimal lot size and production rate for multi-production channels with limited capacity. Int. J. Syst. Sci. 46, 1679–1691 (2015). | Zbl

Y.S. Huang, L.C. Liu and J.W. Ho, Decisions on new product development under uncertainties. Int. J. Syst. Sci. 46, 1010–1019 (2015). | MR | Zbl

H. Ishibuchi and H. Tanaka, Multiobjective programming in optimization of the interval objective function. Eur. J. Oper. Res. 48, 219–225 (1990). | Zbl

S. Okada and M. Gen, Order relation between intervals and its application to shortest path problem. Comput. Ind. Eng. 25, 147–150 (1993).

X. Jinqu, Y. Chen and H. Guo, Fractional robust control design for fuzzy dynamical systems: An optimal approach. J. Intell. Fuzzy Syst. 29, 553–569 (2014). | MR

M. Khouja and A. Mehrez, The economic production lot-size model with variable production rate and imperfect Quality. J. Oper. Res. Soc. 45, 1405–1417 (1994). | Zbl

K. Leng, X. Wang and Y. Wang, Research on inventory control policies for non stationary demand based on TOC. Int. J. Comput. Intell. Syst. 3, 114–128 (2010).

K. Maity and M. Maiti, Possibility and Necessity Constraints and their Defuzzification – a multi-item production-inventory scenario via optimal control theory. Eur. J. Oper. Res. 177, 882–896 (2007). | Zbl

M.K. Mehlawat and P. Gupta, COTS products selection using fuzzy chance-constrained multi objective programming. Appl. Intell. 43, 732–751 (2015).

D.S. Naidu, Optimal Control System. CRC Press, Pocatello, ID (2000).

S.M.A. Nayeem, An expected value approach involving linear combination of possibility and necessity measures for a fuzzy EOQ model. J. Intell. Fuzzy Syst. 29, 761–767 (2015). | MR | Zbl

D. Panda, S. Kar, K. Maity and M. Maiti, A single period inventory model with imperfect production and stochastic demand under chance and imprecise constraints. Eur. J. Oper. Res. 188, 121–139 (2008). | MR | Zbl

E.L. Porteus, Optimal lot sizing, process quality improvement and setup cost reduction. Oper. Res. 34, 137–144 (1986). | Zbl

J.N. Roul, K. Maity, S. Kar and M. Maiti, Multi-item reliability dependent imperfect production inventory optimal control models with dynamic demand under uncertain resource constrain. Int. J. Prod. Res. 53, 4993–5016 (2015).

J.N. Roul, K. Maity, S. Kar and M. Maiti, Optimal control problem for an imperfect production process using fuzzy variational principle. J. Intell. Fuzzy Syst. 32, 565–577 (2017). | Zbl

M.K. Salameh and M.Y. Jaber, Economic production quantity model for items with imperfect quality. Int. J. Prod. Econ. 64, 59–64 (2000).

E.H. Turner and R.M. Turner, A constraint-based approach to assigning system components to tasks. Appl. Intell. 109, 155–172 (1999).

T. Yang, J.P. Ignizio and H.J. Kim, Fuzzy programming with nonlinear membership functions: Piecewise linear approximation. Fuzzy Sets Syst. 41, 39–53 (1991). | MR | Zbl

X. Zhang, X. Deng, F.T. Chan and S. Mahadevan, A fuzzy extended analytic network process-based approach for global supplier selection. Appl. Intell. 43, 760–772 (2015).

H.J. Zimmermann, Fuzzy Set Theory and its Applications. Kluwer-Nijhoff Publishing, Boston (1985). | MR | Zbl

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