Results 281 to 290 of about 776,441 (307)
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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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2016
This chapter addresses a multi-objective order planning problem in production planning under a production environment with the consideration of multiple plants, multiple production departments, and multiple production processes. The mathematical model of this problem is established first.
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This chapter addresses a multi-objective order planning problem in production planning under a production environment with the consideration of multiple plants, multiple production departments, and multiple production processes. The mathematical model of this problem is established first.
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Cancer treatment and survivorship statistics, 2022
Ca-A Cancer Journal for Clinicians, 2022Kimberly D Miller +2 more
exaly
Colorectal cancer statistics, 2020
Ca-A Cancer Journal for Clinicians, 2020Rebecca L Siegel +2 more
exaly
Colorectal cancer statistics, 2023
Ca-A Cancer Journal for Clinicians, 2023Rebecca L Siegel +2 more
exaly