SAP Integrated Business Planning for Supply Chain enables businesses to centralize demand, supply, inventory, sales, and operations planning on one platform to create more efficient and resilient supply chains. With embedded analytics, what-if simulations, alerts, and other machine learning capabilities, you can quickly identify and respond to ...
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Supply chain planning is a way to improve your operations by standardizing procedures, reducing waste and planning for variability. It also plays a pivotal role in price and delivery—two of the most important aspects of customer satisfaction. A well-run supply chain lowers manufacturing costs, improves the reliability of deliveries and helps ...
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As you consider integration in your planning cycles, it's essential to do two things. First, truly embrace the balance and handoff between Sales & Operations Planning (S&OP) and Sales & Operations Execution (S&OE) as a key principle of integrated planning. Second, understand it's time for a more seamless planning approach that …
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Based on the integration of aggregate production planning and distribution planning, this paper firstly develops a mixed integer formulation for a two-echelon supply network considering the real ...
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Request PDF | Integrated markdown pricing and aggregate production planning in a two echelon supply chain: A hybrid fuzzy multiple objective approach | Given high variability of demands for short ...
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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 …
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This integrated supply chain model can be used for operational planning decisions that minimize overall cost for any agent in the supply chain. Discover the world's research 20+ million members
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Integrated aggregate supply chain planning using memetic algorithm – A performance analysis case study. B. Fahimnia R. Farahani Joseph Sarkis. ... A memetic algorithm for bi-objective integrated forward/reverse logistics network design. M. Pishvaee R. Farahani W. Dullaert. Business, Engineering. Comput. Oper. Res. 2010; 479. PDF.
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A tactical supply chain planning model with multiple flexibility options incorporated in sourcing, manufacturing and logistics functions can be used for the analysis of flexibility adjustment in an existing supply chain. ... R. Z., & Sarkis, J. (2013b). Integrated aggregate supply chain planning using memetic algorithm—a …
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Stricture of the supply chain distribution network. A hierarchical planning approach is presented in this work in order to develop the production–distribution plan for a year-long planning horizon. This approach is a very efficient approach to modeling difficult situations with different decisions and various components.
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A memetic algorithm for bi-objective integrated forward/reverse logistics network design ... have been widely used to solve integrated supply chain design problems. In integrated supply chain design, the decision maker needs … Expand. 294. PDF. 3 Excerpts; Save. Applying possibilistic linear programming to aggregate …
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Mentioning: 11 - This paper aims to examine how a complex supply chain yields cost reduction benefits through the global integration of production and distribution decisions. The research is motivated by a complex real world supply chain planning problem facing a large automotive company. A mixed-integer nonlinear production-distribution planning …
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Supply chain planning as one of the most important processes within the supply chain management concept, has a great impact on firms' success or failure. This paper considers a supply chain planning problem of an agile manufacturing company operating in a build-to-order environment under various kinds of uncertainty. An …
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This paper aims to examine how a complex supply chain yields cost reduction benefits through the global integration of production and distribution decisions. …
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In this paper, an aggregate production-distribution plan, considering all the above mentioned costs, is developed for a renowned bearing manufacturing industry in India. The proposed integer non-linear programming model is solved using memetic algorithm (MA), a hybrid form of genetic algorithm (GA) which uses simulated annealing …
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An integrated multi-plant aggregate production-distribution plan generated using memetic algorithm June 2010 International Journal of Value Chain Management 4(3)
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International journal of production research : American Institute of Industrial Engineers ; Society of Manufacturing Engineers.. - London : Taylor & Francis, ISSN 0020-7543, ZDB-ID 1604776.
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Fahimnia, Behnam, Zanjirani Farahani, Reza and Sarkis, Joseph (2013) Integrated aggregate supply chain planning using memetic algorithm: a performance analysis case study. International Journal of Production Research, 51(18), pp. 5354-5373. ... Nasrin (2007) A joint economic lot-size model for an integrated supply network using genetic ...
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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 …
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A memetic algorithm for a multi-objective obnoxious waste location-routing problem: a case study. Annals of Operations Research ... Integrated aggregate supply chain planning using memetic algorithm – A performance analysis case study. International Journal of Production Research
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An integrated multi-plant aggregate production-distribution plan generated using memetic algorithm June 2010 International Journal of Value Chain Management …
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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 January 1, 2013. Publisher Taylor & Francis. Doi. Cite. Abstract Abstract is not available. appliedmathematics; business; statistics; …
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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 …
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In this framework, the retailer is allowed to set different prices during the planning horizon. While integrated production-marketing management has been a key research issue in supply chain management for a long time, little attention has been given to set prices and marketing expenditures in integrated multi-site (parallel) manufacturing ...
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Integrated aggregate supply chain planning using memetic algorithm – A performance analysis case study (Q58002318 ... Description Also known as; English: Integrated aggregate supply chain planning using memetic algorithm – A performance analysis case study. scholarly article by B. Fahimnia et al published September 2013 in …
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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 ] [ Acknowledge ]
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One global manufacturer set up its integrated business planning (IBP) system as the sole way it ran its entire business, creating a standardized, integrated process for strategic, tactical, and operational planning. Although the company had previously had a sales and operations planning (S&OP) process, it had been owned and …
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Multi-agent system for an integrated distributed production planning : an innovative approach based on technological support ... Integrated aggregate supply chain planning using memetic algorithm – A performance analysis case study ... This paper aims to examine how a complex supply chain yields cost reduction benefits through the …
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Supply chain planning: What it is and how it's used. Supply chain planning optimizes the manufacturing and delivery of goods – from raw materials to finished products, and from suppliers all the way to customers. Essentially, it's a demand-driven balancing act between shortage and surplus. Explore supply chain planning solutions.
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Integrated aggregate supply chain planning using memetic algorithm – A performance analysis case study. Memetic Algorithms ...
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