Results 191 to 200 of about 776,427 (222)
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2006 IEEE International Conference on Automation Science and Engineering, 2006
Capacity planning determines the optimal product mix based on the available tool sets and allocates production capacity according to the forecasted demands for the next few months. MaxIt is the previous capacity planning system for Intel's Flash Product Group (FPG) Assembly & Test Manufacturing (ATM).
Sean Sweat +4 more
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Capacity planning determines the optimal product mix based on the available tool sets and allocates production capacity according to the forecasted demands for the next few months. MaxIt is the previous capacity planning system for Intel's Flash Product Group (FPG) Assembly & Test Manufacturing (ATM).
Sean Sweat +4 more
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Multi-item bi-level supply chain planning with multiple remanufacturing of reusable by-products
International Journal of Production Economics, 2018Abstract In this paper, we investigate a multi-item production planning problem in which remanufacturable raw materials are used for manufacturing the final products. The used raw material (considered as a kind of by-product) needs to be remanufactured before being suitable to be used again to manufacture other final products.
Rowshannahad, Mehdi +3 more
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Aggregate production planning with multiple resource constraints
2020IV ABSTRACT AGGREGATE PRODUCTION PLANNING WITH MULTIPLE RESOURCE CONSTRAINTS In this study, we investigate a single-level multi-item multi-resource capacitated lot sizing problem, which we encountered in the gearbox-manufacturing department of a major automotive manufacturer.
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Integrating production-transportation planning decision with fuzzy multiple goals in supply chains
International Journal of Production Research, 2008This work presents a novel fuzzy multi-objective linear programming (f-MOLP) model for solving integrated production-transportation planning decision (PTPD) problems in supply chains in a fuzzy environment. The proposed model attempts to simultaneously minimise total production and transportation costs, total number of rejected items, and total ...
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Journal of Convergence Information Technology, 2012
This paper proposes an Integer Nonlinear Programming (INLP) mathematical model to investigate the practical situations of production scheduling and planning with a parallel-machine layout focusing on multiple orders, diversified delivery deadlines, and multiple types of products. Production cost, machine setup cost, product holding cost, shortage cost,
ChunHsiung Lan - +4 more
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This paper proposes an Integer Nonlinear Programming (INLP) mathematical model to investigate the practical situations of production scheduling and planning with a parallel-machine layout focusing on multiple orders, diversified delivery deadlines, and multiple types of products. Production cost, machine setup cost, product holding cost, shortage cost,
ChunHsiung Lan - +4 more
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International Journal of Production Research, 1998
We study three important production planning problems for flexible manufacturing systems (FMSs) that consist of multiple types of machines. Namely we address machine grouping, workload allocation among machine groups, and batch sizing that maximize system throughput, when part types are selected for the upcoming production period.
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We study three important production planning problems for flexible manufacturing systems (FMSs) that consist of multiple types of machines. Namely we address machine grouping, workload allocation among machine groups, and batch sizing that maximize system throughput, when part types are selected for the upcoming production period.
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Production Planning & Control, 2007
Aggregate production planning (APP) addresses matching supply to forecast demand, with varying customer orders over the intermediate planning horizon. In real-world APP problems, input data and related parameters are commonly imprecise because information is incomplete or unavailable, and the decision maker (DM) must simultaneously consider conflicting
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Aggregate production planning (APP) addresses matching supply to forecast demand, with varying customer orders over the intermediate planning horizon. In real-world APP problems, input data and related parameters are commonly imprecise because information is incomplete or unavailable, and the decision maker (DM) must simultaneously consider conflicting
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1983
An interactive approach it is one of the ways to solve the multiobjective L? /MOLP/ problems. We present a proposal of interactive procedure based on a concept of the worst compromise. The procedure was implemented for short — term production planning by an electronic factory. We present a MOLP model, and discuss a solution process.
W. Michałowski, Z. Żółkiewski
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An interactive approach it is one of the ways to solve the multiobjective L? /MOLP/ problems. We present a proposal of interactive procedure based on a concept of the worst compromise. The procedure was implemented for short — term production planning by an electronic factory. We present a MOLP model, and discuss a solution process.
W. Michałowski, Z. Żółkiewski
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2008
In this paper we model the production planning problem with inexact customer demand by means of linear bilevel multi follower programming. We consider a manager of a production facility and several customers whose demand is partly determined by the amount of money that manager invests in advertising.
Lukač, Zrinka, Vrankić, Ilko
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In this paper we model the production planning problem with inexact customer demand by means of linear bilevel multi follower programming. We consider a manager of a production facility and several customers whose demand is partly determined by the amount of money that manager invests in advertising.
Lukač, Zrinka, Vrankić, Ilko
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