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14 results for “Mixed Integer Linear Programming”
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Research ArticleOpen accessPhrase in the titleA Mixed Integer Linear Programming for Optimising the Residential Solar Energy Storage SystemTeube Cyrille Mbainaissem, Dethie Dione, Bakary Kone, Youssoupha ToureThe global electricity sector is facing a major transition to sustainable energy sources, with consumers playing a crucial role in realising the full potential of the international energy market. Residential energy storage systems are a priority to promote local flexibility and participation in the energy transition. The combination of solar energy generators and storage batteries is a key method of … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 16 Jul 2026 · 1,196 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimizing an E-Waste Reverse Supply Chain Model while Incorporating Risk CostsLinh Thi Truc Doan, Yousef Amer, Sang- Heon Lee, Phan Nguyen Ky PhucThe rapid growth of Electronic Waste (E-waste) in recent years has created serious influences on the environment and society. The highly potential solution to mitigate this issue is the Reverse Supply Chain (RSC) which can reuse and recover E-waste materials. Risks generally derive from a RSC operation such as collection, transportation and treatment risks, but most studies ignore risk effects … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 24 Nov 2017 · 7,975 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSolving the Periodic Maintenance Scheduling Problem via Genetic Algorithm to Balance Workforce Levels and Maintenance CostMohamed Ali Abdel-Fattah MansourProblem statement: In this article we address the multi-objective Periodic Maintenance Scheduling Problem (PMSP) of scheduling a set of cyclic maintenance operations for a given set of machines through a specified planning period to minimize the total variance of workforce levels measured in man-hours and maintenance costs with equal weights. Approach: The article proposed a mixed integer non-linear math programming … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 2 · 12 Jul 2011 · 8,317 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMINLP Optimization of Mechanical StructuresS. Šilih, T. Žula, Z. Kravanja, S. KravanjaWe presented optimization of mechanical structures, performed by the Mixed-Integer Nonlinear Programming (MINLP) optimization approach. The MINLP is a combined continuous/discrete optimization technique, where a structural topology and standard/discrete sizes are optimized simultaneously with the continuous variables. Ddiscrete binary 0-1 variables were used to express the discrete decisions. For solution of this non-linear, continuous/discrete and non-convex MINLP class of the … …American Journal of Applied Sciences, Vol. 5, Issue 1 · 31 Jan 2008 · 7,125 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Genetic Algorithm for Scheduling n Jobs on a Single Machine with a Stochastic Controllable Processing, Tooling Cost and Earliness-Tardiness PenaltiesMohamed Ali Abdel-Fattah MansourProblem statement: In this research, we addressed the problem of minimizing the earliness-tardiness penalties and manufacturing costs of a single machine with a stochastic controllable processing and tooling cost. Approach: We developed a mathematical non-linear integer programming model and its linearised version to find the optimal solution. We introduced a new genome representation in single machine scheduling literature that evolved … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 3 · 18 Aug 2011 · 7,587 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Meta-Heuristic for Multi-Objective Integrated Procurement, Production and Distribution Problem of Supply Chain Network Under Fuzziness UncertaintiesKaoutar Douaioui, Mouhsene Fri, Charif Mabrouki, El Alami SemmaIn this study, we devoted a design under uncertainty of a supply chain network composed of multiple suppliers, multiple plants, multiple distributors and multiple customers. The proposed model is a bi- objective mixed integer linear programming which consider several constraints and optimize the total costs including the procurement, production, storage and distribution costs as well as maximize on-time deliveries. In … …Journal of Computer Science, Vol. 17, Issue 12 · 27 Dec 2021 · 6,625 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Preparation in Machine Learning for Condition-based MaintenanceOns Masmoudi, Mehdi Jaoua, Amel Jaoua, Soumaya YacoutUsing Machine Learning (ML) prediction to achieve a successful, cost-effective, Condition-Based Maintenance (CBM) strategy has become very attractive in the context of Industry 4.0. In other fields, it is well known that in order to benefit from the prediction capability of ML algorithms, the data preparation phase must be well conducted. Thus, the objective of this paper is to investigate … …Journal of Computer Science, Vol. 17, Issue 6 · 4 Jun 2021 · 8,412 accessesView PDFCite
Research ArticleOpen accessIn the abstract“OPTIMIZATION OF MULTI-COMMODITIES CONSUMER SUPPLY CHAINS FOR-PART I-MODELING”Zeinab Haji Abolhasani, Romeo M. Marian, Lee LoungThis study and its companions (Part II, Part III) will concentrate on optimizing a class of supply chain problems known as Multi-Commodities Consumer Supply Chain (MCCSC) problem. MCCSC problem belongs to Production-Distribution (P-D) planning category. It aims to determine facilities location, consumers’ allocation and facilities configuration to minimize total Cost (CT) of the entire network. These facilities can be manufacturer … …Journal of Computer Science, Vol. 9, Issue 12 · 26 Nov 2013 · 7,840 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrated Electricity Planning Comprise Renewable Energy and Feed-In TariffHo Wai Shin, Haslenda HashimProblem statement: Mitigation of global warming and energy crisis has called upon the need of an efficient tool for electricity planning. This study thus presents an electricity planning tool that incorporates RE with Feed in-Tariff (FiT) for various sources of Renewable Energy (RE) to minimize grid-connected electricity generation cost as well as to satisfy nominal electricity demand and CO2 emission … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 1 · 28 Feb 2012 · 8,695 accessesView PDFCite
Research ArticleOpen accessIn the abstractBenders' Decomposition Based Heuristics for Large-Scale Dynamic Quadratic Assignment ProblemsSirirat Muenvanichakul, Peerayuth CharnsethikulProblem statement: Dynamic Quadratic Assignment Problem (DQAP) is NP hard problem. Benders decomposition based heuristics method is applied to the equivalent mixed-integer linear programming problem of the original DQAP. Approach: Approximate Benders Decomposition (ABD) generates the ensemble of a subset of feasible layout for Approximate Dynamic Programming (ADP) to determine the sub-optimal optimal solution. A Trust-Region Constraint (TRC) for the … …Journal of Computer Science, Vol. 5, Issue 1 · 31 Jan 2009 · 7,681 accessesView PDFCite