Journal ArticleDOI
Heuristic approaches to determine base-stock levels in a serial supply chain with a single objective and with multiple objectives
TLDR
Heuristics to obtain base-stock levels are proposed, and heuristic solutions are introduced in the initial population of the RKGGA to expedite the convergence of the genetic search process.About:
This article is published in European Journal of Operational Research.The article was published on 2006-11-16. It has received 46 citations till now. The article focuses on the topics: Optimization problem & Genetic algorithm.read more
Citations
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Journal ArticleDOI
Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case
TL;DR: A stochastic mathematical formulation for designing a network of multi-product supply chains comprising several capacitated production facilities, distribution centres and retailers in markets under uncertainty and incorporates the cut-set concept in reliability theory and also the robust optimisation concept is developed.
Journal ArticleDOI
Competitive supply chain network design: An overview of classifications, models, solution techniques and applications
TL;DR: In this paper, the authors provide a review of the competitive supply chain network design literature and highlight the effects of competitive environment on SCND, and develop a general framework for modeling the competitive SCND problems considering managerial insight and propose potential areas for future research.
Journal ArticleDOI
Review article: A review of soft computing applications in supply chain management
TL;DR: The aim of this paper is to summarise the findings by a systematic review of existing research papers concerning the application of soft computing techniques to supply chain management, such as customer relationship management and reverse logistics.
Journal ArticleDOI
Decision support for integrated refinery supply chains: Part 1. Dynamic simulation
Suresh S. Pitty,Wenkai Li,Arief Adhitya,Rajagopalan Srinivasan,Rajagopalan Srinivasan,Iftekhar A. Karimi +5 more
TL;DR: It is demonstrated that a dynamic model of an integrated supply chain can serve as a valuable quantitative tool that aids in such decision-making in the management of supply chain activities.
Journal ArticleDOI
A hybrid method of Pareto, TOPSIS and genetic algorithm to optimize multi-product multi-constraint inventory control systems with random fuzzy replenishments
TL;DR: This paper shows the model of the multi-periodic inventory control problem to be an integer-nonlinear-programming type and in order to solve it, a hybrid method of Pareto, TOPSIS and Genetic Algorithm approach is used.
References
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Book
Probability, random variables and stochastic processes
TL;DR: This chapter discusses the concept of a Random Variable, the meaning of Probability, and the axioms of probability in terms of Markov Chains and Queueing Theory.
Book
Probability, random variables, and stochastic processes
TL;DR: In this paper, the meaning of probability and random variables are discussed, as well as the axioms of probability, and the concept of a random variable and repeated trials are discussed.
Book
Multi-Objective Optimization Using Evolutionary Algorithms
Kalyanmoy Deb,Deb Kalyanmoy +1 more
TL;DR: This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.
Journal ArticleDOI
Muiltiobjective optimization using nondominated sorting in genetic algorithms
N. Srinivas,Kalyanmoy Deb +1 more
TL;DR: Goldberg's notion of nondominated sorting in GAs along with a niche and speciation method to find multiple Pareto-optimal points simultaneously are investigated and suggested to be extended to higher dimensional and more difficult multiobjective problems.
Book ChapterDOI
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
TL;DR: Simulation results on five difficult test problems show that the proposed NSGA-II, in most problems, is able to find much better spread of solutions and better convergence near the true Pareto-optimal front compared to PAES and SPEA--two other elitist multi-objective EAs which pay special attention towards creating a diverse Paretimal front.
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