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In this paper, a multi-period, multi-product, multi-site, multi-sales channel aggregate production planning problem including ordering preferences is presented in an integrated two-echelon supply ...
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DOI: 10.1016/J.JMSY.2012.07.005 Corpus ID: 110153134; A review and critique on integrated production–distribution planning models and techniques @article{Fahimnia2013ARA, title={A review and critique on integrated production–distribution planning models and techniques}, author={Behnam Fahimnia and Reza Zanjirani Farahani and Romeo M. Marian and Lee H. S. …
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Integrated aggregate supply ch... More details; Integrated aggregate supply chain planning using memetic algorithm : a performance analysis case study . B. Fahimnia, R. Z. Farahani …
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A hybrid two-stock inventory control model for a reverse supply chain. Zolfagharinia, Hossein, (2014) Integrated aggregate supply chain planning using memetic algorithm : a performance analysis case study. Fahimnia, Behnam, (2013)
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(DOI: 10.22068/IJIEPR.26.1.63) In this study, an optimization model is proposed to design a Global Supply Chain (GSC) for a medical device manufacturer under disruption in the presence of pre-existing competitors and price inelasticity of demand. Therefore, static competition between the distributors' facilities to more efficiently gain a further share in market of Economic …
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Integrated aggregate supply chain planning using memetic algorithm A performance analysis case study
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Request PDF | Integrated aggregate supply chain planning using memetic algorithm – A performance analysis case study | This paper aims to examine how a complex …
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reflects the need for more comprehensive business planning across the organization and the supply chain. designed to include greater financial integration, increased inclusion of strategic initiatives and activities, improvised simulation and modeling of alternatives, and easier translation between aggregate and detailed levels of planning
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Integrated aggregate supply chain planning using memetic algorithm – A performance analysis case study. International Journal of Production Research, 51(18), 5354–5373. Get Access
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An integrated production-distribution planning via a robust set-based optimization approach in a three-level supply chain December 2016 Journal of Management Accounting Research 5:9-21
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A mixed integer formulation for a two-echelon supply network considering the real-world variables and constraints is developed and a multi-objective genetic algorithm (MOGA) is designed for the optimization of the developed mathematical model. The overall performance of a supply-chain (SC) is influenced significantly by the decisions taken in its production …
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This paper formulates a competitive supply chain network throughout a mixed integer linear programming problem, considering demand uncertainty and retailers risk averseness. That is, makes the model more realistic in comparison with the others. Employed conditional value at risk method through the data-driven approach, makes the model to be convex and sensitive to the …
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An aggregate production-distribution (P-D) planning model is presented via the integration of aggregate production plan and distribution plan. The P-D planning problem is formulated …
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Duplicate ISSN (Print) to Integrated multi-site production-distribution planning in supply chain by hybrid modelling Live Archive, Reza Zanjirani Farahani - [ Manage ] [ Compare & Merge ] [ …
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Integrated aggregate supply chain planning using memetic algorithm – A performance analysis case study. B. Fahimnia UTS Business, School of Management, ... A …
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Key takeaway: 'The integrated supply chain planning using a memetic algorithm can yield cost reduction benefits compared to non-integrated hierarchical approaches in complex supply …
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An aggregate production-distribution plan, considering all the above mentioned costs, is developed for a renowned bearing manufacturing industry in India and the proposed integer non-linear programming model is solved using memetic algorithm (MA), a hybrid form of genetic algorithm (GA) which uses simulated annealing (SA) for local search. Many industries …
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Implementation of a supply-chain (SC) system has crucial impacts on a company's financial performance. Overall performance of a SC network is influenced significantly by the decisions taken in its production-distribution plan which integrates the decisions in production, transport and warehousing as well as inventory management. Thus, one key issue in the current research …
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Integrated aggregate supply chain planning using memetic algorithm: a performance analysis case study
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DOI: 10.1016/j.cor.2015.10.008 Corpus ID: 42781252; Planning of complex supply chains: A performance comparison of three meta-heuristic algorithms @article{Fahimnia2018PlanningOC, title={Planning of complex supply chains: A performance comparison of three meta-heuristic algorithms}, author={Behnam Fahimnia and Hoda Davarzani and Ali Eshragh}, journal={Comput.
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Study with Quizlet and memorize flashcards containing terms like T or F? The goal of aggregate planning is to satisfy demand in a way that maximizes profit., T or F? Aggregate planning is a process by which a company determines levels of capacity, production, subcontracting, inventory, stockouts, and even pricing over a specified time horizon, T or F? Aggregate planning solves …
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The proposed integer non-linear programming model is solved using memetic algorithm (MA), a hybrid form of genetic algorithm (GA) which uses simulated annealing (SA) for local search. The results obtained using MA, GA and SA are compared with the solution generated using LINGO 8.0, one of the popular operations research software.
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Integrated aggregate supply chain planning using memetic algorithm - A performance analysis case study. Fahimnia, B Zanjirani Farahani, R Sarkis, J. Permalink. Export RIS format; Publisher: Taylor & Francis Ltd Publication Type: Journal Article Citation: International Journal Of Production Research, 2013, 51 (18), pp. 5354 - 5373 ...
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This study introduces a comparative analysis for disaggregation types of two research papers which utilize hierarchical production planning models in supply chain processes. Supply chain management has become an important component of global economy through competitive environment among businesses. Production planning is a significant major element of value …
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Fahimnia, B., Farahani, R. Z. & Sarkis, J. (2013). Integrated Aggregate Supply Chain Planning Using Memetic Algorithm – A Performance Analysis Case Study. ... Hasani, A. & Hosseini, S. M. H. (2015). A Comprehensive Robust Bi-objective Model and a Memetic Solution Algorithm for Designing Reverse Supply Chain Network under Uncertainty. ...
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Many industries adopt multi-site manufacturing in order to reduce their distribution expenses. Such industries allocate the forecasted demand from various customers/demand centres to their respective plants based on gross production, inventory holding and distribution costs. But demand allocation by considering the gross production cost will not be appropriate …
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A hybrid approach which is a specific problem solving procedure combining analytic and simulation methods to solve production-distribution problems in supply chains is proposed. Production-distribution planning is the most important activity in supply chain management (SCM). To solve this planning problem, either analytic or simulation approaches …
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Integrated aggregate supply chain planning using memetic algorithm: a performance analysis case study. Authors. Behnam Fahimnia; Reza Zanjirani Farahani; Joseph Sarkis; Publication date 1 January 2013. Publisher Taylor & Francis. Doi. Cite. Abstract Abstract is not available. appliedmathematics; business; statistics; appliedmathematics;
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One of the main issues of logistics supply chain management is to find suitable mechanisms to coordinate the logistical processes that are controlled by various independent companies in order to achieve overall minimal cost and thus to control the risk. ... Integrated aggregate supply chain planning using memetic algorithm – A performance ...
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A reactive and integrated supply chain is a crucial asset enabling companies to be competitive in the modern dynamic market arena (Liang, 2008; Pishvaee and Razmi, 2012; Nasiri et al., 2014). ... A Memetic algorithm is used to solve the mixed-integer nonlinear programming model. The implementation results of the designed sample problems show ...
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