Citation map · Study

Optimizing a Just-In-Time logistics network problem under fuzzy supply and demand: two parameter-tuned metaheuristics algorithms

16 references·0 citing·56 second hop

this work references cited by second hop

References

2010Response surface methodology2,134 cited
1986Introduction to Quality Engineering: Designing Quality into Products and Processes1,155 cited
2007A genetic algorithm to optimize the total cost and service level for just-in-time distribution in a supply chain227 cited
2015Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS188 cited
1998Transportation, facility location and inventory issues in distribution network design132 cited
2016Applying genetic algorithm to a new bi-objective stochastic model for transportation, location, and allocation of hazardous materials84 cited
2015Two parameter tuned multi-objective evolutionary algorithms for a bi-objective vendor managed inventory model with trapezoidal fuzzy demand82 cited
2013A robust optimization model for agile and build-to-order supply chain planning under uncertainties71 cited
2003Approach of just-in-time distribution requirements planning for supply chain management63 cited
2013Two metaheuristics to solve a multi-item multiperiod inventory control problem under storage constraint and discounts49 cited
1988Introduction to quality engineering: Designing quality into products and processes, G. Taguchi, Asian productivity organization, 1986. number of pages: 191. price: $29 (U.K.)40 cited
2014Two parameter-tuned meta-heuristics for a discounted inventory control problem in a fuzzy environment36 cited
2015An Integrated Production-distribution Planning in Green Supply Chain: A Multi-objective Evolutionary Approach

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Cited by

No citing works inside the corpus for this window.