Optimal lot sizing, process quality improvement and setup cost reduction
Operations Research
The mean value of a fuzzy number
Fuzzy Sets and Systems - Fuzzy Numbers
Chance constrained programming with fuzzy parameters
Fuzzy Sets and Systems
A note on chance constrained programming with fuzzy coefficients
Fuzzy Sets and Systems
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Deteriorating item inventory model with shortage due to supplier in an integrated supply chain
International Journal of Systems Science
Numerical Approach of Multi-Objective Optimal Control Problem in Imprecise Environment
Fuzzy Optimization and Decision Making
A two-warehouse inventory model with imperfect quality production processes
Computers and Industrial Engineering
Maximum cut in fuzzy nature: Models and algorithms
Journal of Computational and Applied Mathematics
Some properties of T-independent fuzzy variables
Mathematical and Computer Modelling: An International Journal
Integrated supply chain model for a deteriorating item with procurement cost dependent credit period
Computers and Industrial Engineering
International Journal of Strategic Decision Sciences
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This article presents a joint performance of a supply chain (SC) with two warehouse facilities. A realistic two warehouse multi-collection-production-inventory model with constant/stock dependent demand, defective production system and fuzzy budget constraint has been formulated in an SC context. Here rate of defectiveness follows a probability distribution and fuzzy constraint is imposed in a necessity/possibility/credibility sense and defuzzied following fuzzy relations. The rates of collection for each raw material and production are assumed as control variables. Also the defective units are screened along with production and reworked with a known rework rate. The model is reduced to the equivalent deterministic one of minimizing the expected total cost with imprecise demand through possibility, necessity or convex combination of them (credibility). All these formulations are solved using Generalized Reduced Gradient (GRG) technique. The model is illustrated numerically for different types of demands and with respect to those demands, the optimal production and stock level are presented in both tabular and graphical forms. The sensitivity of the total operating cost on the variation of capacity of the market warehouse is also presented to illustrate the advantage of a two warehouse system in SC.